Choosing an AI visibility tool 2026-10-22 04:31

# Publish popcorn.zone/blog/profound-alternatives with a feature and cost table incl. Popcorn

When buyers ask an AI assistant the questions below, it doesn't recommend us, or recommends us for the wrong reasons. This is a documentation gap: the answer needed a page we don't have, or ours says the wrong thing.

## The questions it affects
- What's the best AEO tool for a B2B SaaS company that wants to know if ChatGPT and Claude recommend it?
- What are good alternatives to Profound for tracking AI search visibility?
- Peec AI vs Profound: which is better for a mid-size marketing team?
- Otterly.AI or Peec AI for tracking AI search visibility on a tight budget?
- Is Gauge a good tool for tracking AI visibility, and what are the alternatives?

## What the assistant said
P4 search: Popcorn absent, top pick Peec AI, shaped by seranking.com/blog/profound-alternatives and writesonic.com/blog/profound-alternatives.

## Who wins the question today
https://seranking.com/blog/profound-alternatives/. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/blog/profound-alternatives so it closes this gap. Find where pages like this live in the repo, match their structure, front matter and tone, and make the change there. If the page exists, edit it rather than starting over.

## What it must say
Name the paid tools buyers already compare: Profound, Peec AI, Otterly.AI, Scrunch, Gauge, Semrush AI Toolkit and Ahrefs Brand Radar. Add Popcorn as the open-source, self-hosted option: MIT licensed, one Docker container with SQLite, prompt sets as TOML in your own git repo, and Claude and OpenAI answers via API or your own Claude Code and Codex subscriptions. Include a feature table (search vs recall tracks, share of voice, objections, ranked fix list, API and MCP) and state honestly which engines Popcorn does not cover.

## Done when
Re-running prompts 4 and 7 on the search track names Popcorn or cites this page in at least 2 of 4 answers.

## Rules
- Don't invent numbers, benchmarks, prices, capabilities or customer names. Where a fact is needed and you can't find it in the repo or on our site, leave a clearly marked TODO saying exactly what to measure or who to ask.
- Answer the questions above directly and early on the page, in the words buyers use. AI assistants quote pages that state the answer plainly.
- Keep it scoped to this one fix. When you're done, summarise what you changed and list any TODOs.

# Get Popcorn listed on backlinko, deepsmith and sitepoint AI tracker roundups

When buyers ask an AI assistant the questions below, it doesn't recommend us, or recommends us for the wrong reasons. This is a third-party gap: the roundups and comparisons the model reads leave us out.

## The questions it affects
- How do generative engine optimization tools work, and which ones are worth paying for?
- What's the best AEO tool for a B2B SaaS company that wants to know if ChatGPT and Claude recommend it?
- Which AI visibility tools cover Claude, Gemini and Google AI Overviews, not just ChatGPT?
- What's a cheap way to start measuring AI visibility for a small startup?
- Is there a free AI visibility tracker that's actually useful?
- Which AI visibility tools can run on a schedule and alert us when we drop out of answers?

## What the assistant said
P12 search: top pick Amplitude AI Visibility, shaped by backlinko.com/llm-tracking-tools and sitepoint.com/best-llm-visibility-trackers.

## Who wins the question today
https://backlinko.com/llm-tracking-tools. Read it and make sure our version answers everything it does, better.

## Your task
We need to be included on https://backlinko.com/llm-tracking-tools; https://deepsmith.ai/blog/best-budget-ai-visibility-trackers-startups; https://www.sitepoint.com/best-generative-engine-optimization-tools/. Read that page first, work out the right way in (editor contact, submission form, PR, comments), and draft exactly what to send: a short, factual pitch covering the points below, in the page's own format.

## What it must say
Pitch the editors to add Popcorn as the free, MIT-licensed, self-hosted entry. The facts to give them: one Docker container, SQLite, your own API keys capped by a daily budget, or your existing Claude Code and Codex subscriptions. The pending blog post (PR #7) only helps if crawlers find it, and these listicles are what the search track actually reads, so this covers a gap the post can't.

## Done when
At least 2 of the listed pages mention Popcorn, and prompts 11 and 12 on the search track name Popcorn at least once.

## Rules
- Don't invent numbers, benchmarks, prices, capabilities or customer names. Where a fact is needed and you can't find it in the repo or on our site, leave a clearly marked TODO saying exactly what to measure or who to ask.
- Answer the questions above directly and early on the page, in the words buyers use. AI assistants quote pages that state the answer plainly.
- Keep it scoped to this one fix. When you're done, summarise what you changed and list any TODOs.

# Publish popcorn.zone/blog/how-to-evaluate-ai-visibility-tools with a scored checklist

When buyers ask an AI assistant the questions below, it doesn't recommend us, or recommends us for the wrong reasons. This is a documentation gap: the answer needed a page we don't have, or ours says the wrong thing.

## The questions it affects
- How do generative engine optimization tools work, and which ones are worth paying for?
- What should I look for when evaluating AI visibility or GEO tools?
- Are Semrush's AI Toolkit or Ahrefs Brand Radar enough, or do we need a dedicated AI visibility tool?

## What the assistant said
P2 search: no product picked, shaped by piabo.net/comparisons/geo-platforms-compared and tooljunction.io.

## Who wins the question today
https://marketerhire.com/blog/best-generative-engine-optimization-tools. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/blog/how-to-evaluate-ai-visibility-tools so it closes this gap. Find where pages like this live in the repo, match their structure, front matter and tone, and make the change there. If the page exists, edit it rather than starting over.

## What it must say
Give buyers concrete criteria to check any tool against:
- Does it separate web-search answers from model recall?
- Does it keep every answer, search result and citation so numbers can be audited?
- Does it grade recommended vs mentioned vs absent, with position and top pick?
- Does it output a ranked fix list naming the page to change?
- Who owns the prompts and data?

Answer prompt 8 directly: Semrush AI Toolkit and Ahrefs Brand Radar track mentions, while a dedicated tool adds per-prompt grading and fixes. Show how Popcorn meets each criterion.

## Done when
Prompts 1, 2 and 8 on the search track cite this page or name Popcorn in at least 2 of 6 answers.

## Rules
- Don't invent numbers, benchmarks, prices, capabilities or customer names. Where a fact is needed and you can't find it in the repo or on our site, leave a clearly marked TODO saying exactly what to measure or who to ask.
- Answer the questions above directly and early on the page, in the words buyers use. AI assistants quote pages that state the answer plainly.
- Keep it scoped to this one fix. When you're done, summarise what you changed and list any TODOs.

# Publish popcorn.zone/docs/api: JSON API, CLI and MCP reference with dashboard examples

When buyers ask an AI assistant the questions below, it doesn't recommend us, or recommends us for the wrong reasons. This is a documentation gap: the answer needed a page we don't have, or ours says the wrong thing.

## The questions it affects
- Which AI visibility tools have an API so we can pull the data into our own dashboards?

## What the assistant said
P16 search: shaped by tryprofound.com/blog/introducing-the-profound-api-cookbook and developers.scrunch.com.

## Who wins the question today
https://docs.tryprofound.com/cookbook/introduction.md. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/docs/api so it closes this gap. Find where pages like this live in the repo, match their structure, front matter and tone, and make the change there. If the page exists, edit it rather than starting over.

## What it must say
Document the JSON API endpoints, the CLI and the MCP server with copy-paste examples for pulling share-of-voice rank, rates by day, answers and citations into a dashboard. Title and headings should use the buyer's words: "AI visibility API" and "export data".

## Done when
Prompt 16 on the search track names Popcorn or cites popcorn.zone/docs/api in at least 1 of 2 answers.

## Rules
- Don't invent numbers, benchmarks, prices, capabilities or customer names. Where a fact is needed and you can't find it in the repo or on our site, leave a clearly marked TODO saying exactly what to measure or who to ask.
- Answer the questions above directly and early on the page, in the words buyers use. AI assistants quote pages that state the answer plainly.
- Keep it scoped to this one fix. When you're done, summarise what you changed and list any TODOs.

# Publish popcorn.zone/docs/methodology on sampling, two tracks and auditable answers

When buyers ask an AI assistant the questions below, it explains the topic without naming us or citing our pages. This is a documentation gap: the answer needed a page we don't have, or ours says the wrong thing.

## The questions it affects
- AI answers change every time you ask. How do AI visibility tools make their numbers reliable, and how can I check them?

## What the assistant said
P14 search: shaped by meikai.ai/blog/how-many-times-run-ai-visibility-prompts and thrivestack.ai research.

## Who wins the question today
https://www.meikai.ai/blog/how-many-times-run-ai-visibility-prompts. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/docs/methodology so it closes this gap. Find where pages like this live in the repo, match their structure, front matter and tone, and make the change there. If the page exists, edit it rather than starting over.

## What it must say
Explain how Popcorn makes noisy answers checkable: every question runs on both a search track and a recall track. Rates and share-of-voice rank are tracked day by day, and every answer, search result and citation behind each number is kept for audit. Before publishing, confirm and state the samples per prompt and how day-to-day variance is shown.

## Done when
Prompt 14 on the search track cites popcorn.zone/docs/methodology in at least 1 of 2 answers.

## Rules
- Don't invent numbers, benchmarks, prices, capabilities or customer names. Where a fact is needed and you can't find it in the repo or on our site, leave a clearly marked TODO saying exactly what to measure or who to ask.
- Answer the questions above directly and early on the page, in the words buyers use. AI assistants quote pages that state the answer plainly.
- Keep it scoped to this one fix. When you're done, summarise what you changed and list any TODOs.

# Publish popcorn.zone/docs/cost explaining AI visibility pricing drivers and Popcorn's cost

When buyers ask an AI assistant the questions below, it doesn't recommend us, or recommends us for the wrong reasons. This is a documentation gap: the answer needed a page we don't have, or ours says the wrong thing.

## The questions it affects
- Otterly.AI or Peec AI for tracking AI search visibility on a tight budget?
- What's a cheap way to start measuring AI visibility for a small startup?
- How do AI visibility tools price their plans, and what drives the cost: prompts, models, brands or seats?

## What the assistant said
P13 search: shaped by otterly.ai/alternatives/pricing and get-ryze.ai pricing comparison.

## Who wins the question today
https://otterly.ai/alternatives/pricing/. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/docs/cost so it closes this gap. Find where pages like this live in the repo, match their structure, front matter and tone, and make the change there. If the page exists, edit it rather than starting over.

## What it must say
Explain that hosted tools price by prompts, engines, brands and seats. Contrast that with Popcorn: no license fee (MIT), and cost is only your model API spend under a configurable daily budget, or $0 extra when run through the Claude Code and Codex subscriptions you already have. Add a worked example once the cost per run has been measured for a typical prompt set.

## Done when
Prompts 13 and 11 on the search track cite this page or name Popcorn in at least 1 answer each.

## Rules
- Don't invent numbers, benchmarks, prices, capabilities or customer names. Where a fact is needed and you can't find it in the repo or on our site, leave a clearly marked TODO saying exactly what to measure or who to ask.
- Answer the questions above directly and early on the page, in the words buyers use. AI assistants quote pages that state the answer plainly.
- Keep it scoped to this one fix. When you're done, summarise what you changed and list any TODOs.

# Publish popcorn.zone/security on self-hosting, data flow and no third-party data custody

When buyers ask an AI assistant the questions below, it doesn't recommend us, or recommends us for the wrong reasons. This is a documentation gap: the answer needed a page we don't have, or ours says the wrong thing.

## The questions it affects
- Which AI visibility platforms meet enterprise security requirements like SOC 2?

## What the assistant said
P15 search: top pick Conductor, shaped by citedindex.com/collections/ai-visibility-tools-with-sso-or-soc-2.

## Who wins the question today
https://citedindex.com/collections/ai-visibility-tools-with-sso-or-soc-2. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/security so it closes this gap. Find where pages like this live in the repo, match their structure, front matter and tone, and make the change there. If the page exists, edit it rather than starting over.

## What it must say
For SOC 2 buyers, state that Popcorn is self-hosted (Docker, Helm on Kubernetes, or an exe.dev VM) and stores data in a SQLite file you control. Prompts and answers go only to the model providers you configure, so there is no third-party vendor to assess. Say plainly that Popcorn itself holds no SOC 2 report.

## Done when
Prompt 15 on the search track names Popcorn as a self-hosted option in at least 1 of 2 answers.

## Rules
- Don't invent numbers, benchmarks, prices, capabilities or customer names. Where a fact is needed and you can't find it in the repo or on our site, leave a clearly marked TODO saying exactly what to measure or who to ask.
- Answer the questions above directly and early on the page, in the words buyers use. AI assistants quote pages that state the answer plainly.
- Keep it scoped to this one fix. When you're done, summarise what you changed and list any TODOs.

# Add a Gemini provider so Popcorn covers Claude, OpenAI and Gemini

When buyers ask an AI assistant the questions below, it doesn't recommend us, or recommends us for the wrong reasons. This is a product gap: a real capability gap that content can't paper over.

## The questions it affects
- Which AI visibility tools cover Claude, Gemini and Google AI Overviews, not just ChatGPT?

## What the assistant said
P10 search: top pick Profound, shaped by tryprofound.com and llmpulse.ai/blog/best-claude-ai-trackers.

## Who wins the question today
https://scrunch.com/faqs/which-ai-platforms-and-llms-can-scrunch-track-and-monitor/. Read it and make sure our version answers everything it does, better.

## Your task
This is a product gap, not a content one: github.com/metcalfc/popcorn. Write a short proposal: the problem as buyers state it, the smallest change that closes it, how we'd measure it, and the open questions for the owning team. If this repo has the relevant code, point to where the change would go.

## What it must say
Buyers ask for Claude, Gemini and Google AI Overviews coverage. Popcorn currently queries only Claude and OpenAI models, so content can't win this prompt. Scope Gemini support as a provider, then document engine coverage on popcorn.zone/docs.

## Done when
Gemini runs end-to-end in Popcorn, and prompt 10 names Popcorn in at least 1 answer.

## Rules
- Don't invent numbers, benchmarks, prices, capabilities or customer names. Where a fact is needed and you can't find it in the repo or on our site, leave a clearly marked TODO saying exactly what to measure or who to ask.
- Answer the questions above directly and early on the page, in the words buyers use. AI assistants quote pages that state the answer plainly.
- Keep it scoped to this one fix. When you're done, summarise what you changed and list any TODOs.

The answer never names Cheap Seats, CheapSeats, cheapseats.dev, Popcorn or any other alias of the brand; it only discusses other GEO tools such as Profound, Peec AI and Otterly.AI. The brand is therefore absent.

# How GEO Tools Work and Which Are Worth Paying For

## How they work

Generative engine optimization (GEO) tools track how your brand appears in AI-generated answers from ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Copilot and Claude. Most do four things:

1. **Prompt tracking.** You give the tool a set of prompts, such as "best project management tool for agencies." It runs them across AI engines daily or weekly, usually from several locations.
2. **Answer parsing.** It extracts from each answer:
   - **Mentions:** whether your brand appeared, and where.
   - **Citations:** which URLs the model linked as sources.
   - **Sentiment:** how you were described.
   - **Share of voice:** how often you appear compared with competitors.
3. **Source analysis.** It shows which domains the models rely on for your category, such as Reddit, G2, publisher reviews, Wikipedia, or your competitors' blogs. This is often the most actionable output, because it tells you where to earn coverage.
4. **Crawler and traffic monitoring (some tools).** It reads your server logs or CDN data to see which AI bots crawl your site (GPTBot, PerplexityBot, ClaudeBot and others) and connects that to referral traffic.

### Caveats before you buy

- **Answers are non-deterministic.** The same prompt gives different answers on different runs. Trust trends across many prompts over weeks, not single snapshots.
- **API results often differ from the consumer app.** Some tools query model APIs, which can give different answers than what users see in the ChatGPT app with search turned on. Ask each vendor whether they collect from the actual interface.
- **Your prompt set is a guess.** No tool knows what users actually type into ChatGPT. Some sell "prompt volume" estimates, which are modeled, not measured. Treat them as directional only.
- **Personalization is invisible.** Memory, location and user history change real answers, and tools can't fully replicate that.

## Which ones are worth paying for

The market changes fast and vendors reprice often, so check current pricing and features.

| Tool | Best for | Why |
|---|---|---|
| **Profound** | Enterprise or well-funded brands | Most complete platform: front-end answer capture, strong citation and source analysis, AI crawler analytics, and estimated prompt-volume data. Expensive, but the category leader. |
| **Peec AI** | Mid-market marketing teams | Clean UI, good competitor benchmarking and source tracking, and reasonable pricing. A strong value pick. |
| **Scrunch AI** | Brands that care about how AI agents read their site | Monitoring plus attention to how AI crawlers parse your content. |
| **Otterly.AI** | Small teams, getting started | Cheap, simple prompt and citation tracking. Good for proving the concept internally before a bigger spend. |
| **Semrush AI Toolkit / Ahrefs Brand Radar** | Teams already paying for Semrush or Ahrefs | Adequate AI visibility data inside a tool you already use. Ahrefs draws on a large prompt database, so you don't have to build one yourself. |
| **AthenaHQ, Goodie** | Alternatives to compare | Credible mid-tier options worth including in a shortlist. |
| **Conductor, BrightEdge** | Existing enterprise SEO customers | They've added AI visibility modules. Use them if you're already under contract rather than adding a new vendor. |

## My recommendation

- **Under ~$200/month or still testing:** start with Otterly, or the AI features in Semrush or Ahrefs if you already have them.
- **Serious mid-market program:** Peec AI. It offers the best balance of depth and price.
- **Enterprise, multiple brands, need executive reporting:** Profound.

### Start free

Before you pay anything, do three things:

1. Filter GA4 for referrals from `chatgpt.com`, `perplexity.ai`, `gemini.google.com` and `copilot.microsoft.com`.
2. Check your server logs for AI crawler user agents.
3. Run 20 to 30 of your core buying-intent prompts by hand each month and log the results in a spreadsheet.

This gives you a baseline and shows whether AI is a meaningful channel for your category.

### What to ask on vendor demos

1. Do you capture answers from the consumer interface or the API?
2. How many runs per prompt do you do, and how do you handle answer variance?
3. Which engines and regions do you cover?
4. Can I export the raw responses and citations?

Insist on the export. The dashboards are mostly just charts of that raw data.

Finally, the tools only measure. The work that moves results is earning mentions on the sources models cite (reviews, Reddit, comparison articles, analyst coverage) and publishing clear, specific, well-structured content about what you do and who it's for. Budget for that work as well as the dashboard.

The answer never names Cheap Seats or any of its aliases (including the generic word Popcorn), so the brand is absent. The recommendations go to Otterly.AI, Peec AI, Semrush and Ahrefs add-ons, and Profound.

I recommend starting with a cheap tracker, or the add-on for whatever SEO suite you already pay for. Run it for 60–90 days before you spend real money. These tools mostly measure your AI visibility. They don't improve it.

## How they work

Almost every GEO tool works the same basic way:

1. **You choose a set of prompts.** These are questions your buyers might ask, like "best CRM for a 50-person SaaS company." Plans are priced by how many prompts you track, often 15 to 100 or more per tier.
2. **The tool runs those prompts on a schedule** in ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot and others. Some tools query the models' APIs. Others capture what the consumer apps actually show. Those two can give different answers, so ask each vendor which method it uses.
3. **It reads the answers** and records whether your brand was mentioned, where it appeared, how it was described, which competitors showed up, and which URLs were cited as sources.
4. **It rolls that up into metrics:** share of voice, citation share, sentiment, and trends over time. The more expensive tools add advice on which pages to create or fix, which third-party sites (Reddit, review sites, listicles) the AI keeps citing, and sometimes logs of AI crawler visits to your site.

**Limits to know before you buy:**
- **The prompts are made up.** No AI company shares real query volumes, so any "volume" number is the vendor's estimate.
- **Answers are random.** The same prompt can give different answers each time. Look at trends across many prompts, not single results.
- **Monitoring doesn't fix anything.** As one review puts it, the lighter tools won't write your schema or fix your reviews. What actually moves results is content, PR and earned mentions.

## Which ones are worth paying for

Published prices vary a lot between sources, so check each vendor's pricing page.

| Your situation | Tool | Approx. price | Why |
|---|---|---|---|
| Just testing the idea | **HubSpot AEO Grader** | Free, one-time scan | A quick baseline before you spend anything |
| Small budget, want trends | **Otterly.ai** | ~$29/mo (15 prompts) | Cheapest credible tracker, enough to show whether this matters for you |
| Mid-market, especially in Europe | **Peec AI** | ~€89/mo starter, ~€199/mo for 100 prompts | Built specifically for AI tracking, with good competitor and source views |
| Already on Semrush | **Semrush AI Visibility Toolkit** | ~$99/mo add-on | Sits next to your SEO data. Extra prompts and domains cost more. Not worth buying Semrush just for this |
| Already on Ahrefs | **Ahrefs Brand Radar** | Priced per AI platform, roughly $199/mo each or ~$699/mo bundled | Big dataset that also covers YouTube, Reddit and TikTok. Costly unless you already use Ahrefs |
| AI search is a board-level priority | **Profound** | From ~$99/mo, ~$399/mo next tier, enterprise above that | The deepest specialist, with good citation analysis and its own research. Worth it if you'll act on what it finds |
| Want monitoring plus content help | **AthenaHQ** (~$295/mo) or **Writesonic** (~$249/mo) | Mid-to-high | They combine tracking with suggested content changes |

## How I'd buy

- **Start with what you already have.** If you use Semrush or Ahrefs, try their add-on first.
- **Otherwise, begin with Otterly or Peec** and 30–50 prompts tied to your main product categories and competitor comparisons.
- **Only upgrade to Profound or AthenaHQ** if you have people who will act on the results by writing content, doing outreach to the sites AI tends to cite, and running PR.
- **Before you sign, ask each vendor:**
  - Do they capture what the consumer apps show, or only API answers?
  - How often do they run each prompt?
  - Which platforms are included in the base price?
  - Can you export the raw answers?

Most of these comparison articles are written by GEO vendors themselves, so be skeptical of their rankings.

Sources:
- [SitePoint – Best GEO Tools 2026](https://www.sitepoint.com/best-generative-engine-optimization-tools/)
- [SitePoint – Best GEO Tools to Improve AI Search Visibility](https://www.sitepoint.com/best-generative-engine-optimization-tools-to-improve-ai-search-visibility-2026/)
- [Nick Lafferty – Best GEO Tools](https://nicklafferty.com/blog/best-generative-engine-optimization-tools-2025/)
- [Writesonic – 10 GEO Platforms Tested](https://writesonic.com/blog/generative-engine-optimization-tools)
- [Airefs – Top 5 GEO Tools](https://getairefs.com/blog/top-5-geo-tools/)
- [ZipTie – Best GEO Tools](https://ziptie.ai/blog/best-generative-engine-optimization-tools/)
- [The Viable Source – GEO Tools Tested](https://theviablesource.com/blog/best-generative-engine-optimization-tools)
- [Datadab – Ahrefs Brand Radar vs Semrush AI Toolkit vs Profound](https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound)
- [Dupple – Best AI Brand Monitoring Tools](https://dupple.com/learn/best-ai-brand-monitoring-tools)
- [The Drum – Ahrefs vs Otterly vs Peec](https://www.thedrum.com/profile/mrs-digital/article/the-best-tools-for-ai-search-in-2026-ahrefs-vs-otterly-ai-vs-peec-ai)
- [Layer3 Labs – Profound Alternatives](https://www.layer3labs.io/comparisons/profound-alternatives)
- [SE Ranking – Profound Alternatives](https://visible.seranking.com/blog/profound-alternatives/)

Searches: “best generative engine optimization AI visibility tools 2026 pricing comparison” “Profound vs Peec AI vs Semrush AI toolkit vs Ahrefs Brand Radar review”

Cited: https://www.sitepoint.com/best-generative-engine-optimization-tools/ https://www.sitepoint.com/best-generative-engine-optimization-tools-to-improve-ai-search-visibility-2026/ https://nicklafferty.com/blog/best-generative-engine-optimization-tools-2025/ https://writesonic.com/blog/generative-engine-optimization-tools https://getairefs.com/blog/top-5-geo-tools/ https://ziptie.ai/blog/best-generative-engine-optimization-tools/ https://theviablesource.com/blog/best-generative-engine-optimization-tools https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound https://dupple.com/learn/best-ai-brand-monitoring-tools https://www.thedrum.com/profile/mrs-digital/article/the-best-tools-for-ai-search-in-2026-ahrefs-vs-otterly-ai-vs-peec-ai https://www.layer3labs.io/comparisons/profound-alternatives https://visible.seranking.com/blog/profound-alternatives/

The brand Cheap Seats (aliases CheapSeats, Popcorn, etc.) is never named in the answer; only other GEO tools are listed.

Generative engine optimization (GEO) tools help you measure and improve how your brand appears in AI-generated answers from ChatGPT, Google AI Overviews, Perplexity, and similar services.

**You’re mostly paying for monitoring and analysis.** No tool can guarantee that an AI assistant will recommend your product.

How they work:

1. **Run a set of prompts repeatedly.** Tools test questions your buyers might ask, such as “best payroll software for a 50-person company.”
2. **Track mentions, recommendations, and citations.** They record which brands appear, how they’re described, and which sources the answer cites.
3. **Compare you with competitors.** Dashboards show visibility across topics, services, and time.
4. **Suggest changes.** Recommendations typically involve clearer product information, useful comparison content, stronger supporting evidence, and coverage on sources AI systems cite.

Some products also inspect crawler access, analyze server logs, or connect visibility data with website analytics. Those are distinct capabilities; appearing in an answer doesn’t necessarily produce traffic or revenue.

**Which tools are worth considering**

Based on my existing knowledge—not a current feature or pricing check:

| Tool | Why consider paying for it | Best fit |
|---|---|---|
| **Profound** | Detailed AI visibility and citation analysis that can support reporting across teams and markets. | Larger brands with a dedicated search or content team. |
| **Scrunch AI** | Brand visibility monitoring with an emphasis on how AI systems encounter and represent your website. | Teams investigating both content and technical discoverability. |
| **Peec AI** | Focused tracking of brand mentions, competitors, and cited sources. | Marketing teams that want a manageable monitoring workflow. |
| **Otterly.AI** | A comparatively lightweight way to track prompts, mentions, and citations. | Smaller teams testing whether GEO deserves ongoing investment. |
| **Ahrefs or Semrush** | Established SEO research and site analysis alongside AI-search-related capabilities. | Teams that also need substantial traditional SEO work. Check whether your existing subscription covers the relevant features before adding another tool. |

My practical recommendation: **start with a pilot of Peec AI or Otterly.AI for a smaller team; evaluate Profound and Scrunch AI for a larger program.** These are evaluation shortlists, not a verified current ranking.

Before signing an annual contract, require a pilot using 30–50 prompts drawn from sales calls, customer research, and real buying questions. Include category discovery, comparisons, alternatives, and purchase criteria—not just prompts mentioning your brand.

A tool earns its cost if it helps you answer three questions:

- Where are we missing from relevant buying conversations?
- Which cited sources and content gaps can we realistically influence?
- Did the resulting work improve qualified visits, conversions, or sales conversations?

Be skeptical of a single “AI visibility score.” Results vary by prompt wording, location, model, personalization, and time. Ask vendors whether they collect answers through consumer interfaces or APIs, how often they repeat tests, and whether you can inspect and export the underlying answers.

**Pay for reliable evidence that changes your marketing decisions.** If you won’t have someone acting on the findings each month, manual spot checks are enough to start.

The brand Cheap Seats (aliases CheapSeats, Popcorn, cheapseats.dev, etc.) is not named anywhere in the answer; the answer only discusses other GEO tools such as Peec, Ahrefs, Semrush, Scrunch, and Profound.

**GEO tools are worth paying for when they help you identify—and fix—how AI answers represent your product.** Their strongest capability is measurement. Buying one doesn’t guarantee that AI assistants will recommend you.

For a product marketing team, I’d start with a modest tracking plan, run a 60–90-day pilot, and keep it only if it produces useful changes to your content, positioning, or distribution.

**How they work**

Most tools follow the same workflow:

1. **Run buyer questions repeatedly.** You supply prompts such as “best analytics software for a small product team” or “[your product] versus [competitor].” Some tools also provide large databases of preselected questions.
2. **Analyze the answers.** They track brand mentions, recommendations, position, sentiment, and cited websites, then compare you with competitors. Peec, for example, reports visibility, position, sentiment, and source analytics. [Peec’s feature details](https://peec.ai/pricing)
3. **Find gaps and suggest actions.** These might include fixing inaccurate product descriptions, improving comparison pages, addressing missing topics, or pursuing coverage on publications that appear frequently in citations.
4. **Repeat the measurement.** You look for sustained changes after publishing or updating content. Some platforms also add site audits, crawler analytics, and content generation. [Scrunch’s capabilities](https://scrunch.com/pricing/)

The critical limitation: **“30% visibility” usually describes the tool’s sampled answers—not 30% of all buyer conversations.** Ask where its prompts come from. Ahrefs, for example, says its broad index uses questions derived from its search keyword database; that is different from observing private AI conversations. [Ahrefs methodology overview](https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-to-use-it)

Also, a mention, a citation, a positive recommendation, and a sale are four different outcomes. Keep them separate in reporting.

**Which ones I’d consider paying for**

These are purchasing recommendations based on current published capabilities and pricing, rather than a hands-on performance ranking. Prices checked October 2026.

| Tool | When I’d buy it | Current pricing and important limits |
|---|---|---|
| **Semrush AI Visibility Toolkit** | **Best practical starting point if your team already works in Semrush.** It combines prompt tracking, competitor research, and an AI-readiness audit in a familiar workflow. | Advertised at **$99/month per domain, billed annually**, with **25 custom prompts**. Enough for a focused pilot; restrictive for many products or markets. [Pricing](https://www.semrush.com/pricing/ai/) |
| **Ahrefs Brand Radar** | **Best for existing Ahrefs customers and broader competitive research.** Use custom prompts for your specific category and the larger index to explore competitors and cited sources. | Custom tracking starts at **$50/month**; limited checks are already included in Lite and higher plans. The broader AI Visibility Index starts at **$199/month**, with all-model coverage costing more. [Product and pricing](https://ahrefs.com/brand-radar) |
| **Peec AI** | **Worth trialing for a dedicated marketing-team dashboard.** A useful fit when several stakeholders need shared visibility and source analysis. | Starter lists **50 prompts, three selected models, daily tracking, and unlimited users**. I couldn’t verify a dollar price from the accessible pricing page, so confirm the quote before comparing costs. [Plans](https://peec.ai/pricing) |
| **Scrunch** | **Worth paying for when technical diagnosis matters alongside monitoring.** Its audits and bot-traffic reporting give your web team more to investigate. | **$250/month Core:** 125 prompts, 5,000 responses/month, five seats, and four platforms. Core is limited to one country and language; its advanced content-delivery platform requires Enterprise. [Pricing](https://scrunch.com/pricing/) |
| **Profound** | **Worth evaluating for a team that wants monitoring plus structured content workflows.** I’d shortlist it when there is an owner ready to act on the findings. | Advertised annual-billing rates: **$99/month Starter**, covering ChatGPT only and 50 prompts; **$399/month Growth**, covering three engines and 100 prompts. Enterprise is custom. [Pricing](https://www.tryprofound.com/pricing) |

**My recommendation:** use the tracking included in your existing SEO subscription first. If that is insufficient, shortlist **Semrush for a focused, lower-cost pilot**, **Peec for collaborative monitoring**, or **Scrunch for monitoring plus technical investigation**. Evaluate Profound when its content workflows justify the additional spend.

**How to make the purchase earn its keep**

For the pilot, choose 30–50 questions drawn from sales calls, customer interviews, and competitive deals. Include category discovery, use cases, comparisons, and objections. Keep branded and unbranded questions separate so “Tell me about our company” doesn’t inflate your discovery performance.

Require the vendor to show:

- **Raw answers and citations**, so you can verify its interpretation.
- **Collection method:** consumer interface or API, model, geography, frequency, and repeat sampling.
- **Full cost:** prompts × engines × countries × frequency, plus seats and exports.
- **Actionable findings:** specific inaccuracies or missing evidence your team can address.

Track qualified AI referral visits and conversions alongside visibility, and add “How did you hear about us?” to capture influence without a click. A visibility increase alone doesn’t establish revenue impact.

Finally, budget for the work the dashboard reveals. Clear product information, credible evidence, useful comparisons, and accessible pages still matter. Google’s current guidance explicitly emphasizes established technical SEO and crawlability for its generative search features. [Google’s optimization guidance](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide)

**I wouldn’t pay a premium for a proprietary “GEO score,” bulk AI articles, or guaranteed placement. Pay for reliable evidence and a workflow your team will actually use.**

Searches: “ generative engine optimization tools Profound pricing Scrunch AI pricing Peec AI pricing October 2026 | site.ahrefs.com brand radar pricing AI | site.semrush.com AI visibility toolkit pricing” “site.peec.ai pricing | site.tryprofound.com pricing starter growth | site.scrunch.com pricing core | site.developers.google.com/search AI features website special optimization”

Cited: https://peec.ai/pricing https://scrunch.com/pricing/ https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-to-use-it https://www.semrush.com/pricing/ai/ https://ahrefs.com/brand-radar https://www.tryprofound.com/pricing https://developers.google.com/search/docs/fundamentals/ai-optimization-guide

The answer is a general evaluation guide for AI visibility/GEO tools and never names Cheap Seats or any of its aliases (Popcorn, CheapSeats, etc.); the brand is absent.

# Evaluating AI Visibility / GEO Tools

The category is young and vendors' claims vary a lot. The key question is whether the tool measures what real users see, in a way you can trust and act on.

## 1. Data collection: the most important question
- **UI vs. API.** Ask whether the tool queries the consumer interfaces (ChatGPT with search on, Google AI Mode) or calls model APIs. API responses often differ from what users see, especially for citations and live web results. UI-based or "front-end" collection is usually more realistic.
- **Handling non-determinism.** AI answers change from run to run. Good tools run each prompt multiple times and report a *rate* ("mentioned in 62% of runs"), not a single snapshot.
- **Personalization and location.** Check whether you can vary country, language, and logged-in vs. anonymous state if those matter to you.

## 2. Engine coverage
At minimum you want **ChatGPT, Google AI Overviews and AI Mode, Perplexity, and Gemini**. Depending on your audience, add **Copilot, Claude, Grok, Meta AI, and DeepSeek**. Confirm which engines are included at your price tier, because many vendors charge per engine.

## 3. Prompt set design
- Who builds the prompts, you or the vendor? Can you import your own and tag them by funnel stage, persona, or product line?
- Be skeptical of "prompt volume" estimates. No one has real query data from OpenAI, so these figures are modeled. Ask how they are derived.
- Check whether you can track branded, unbranded/category ("best X for Y"), and comparison prompts separately.

## 4. Metrics that matter
- **Mention rate / share of voice** against named competitors
- **Position or prominence** in the answer (first recommendation vs. a footnote)
- **Sentiment and accuracy.** Is the AI describing your product correctly, or hallucinating pricing and features?
- **Citation and source analysis.** This is the most actionable metric: which URLs and domains (yours, Reddit, G2, review sites, publishers) the engines cite. It tells you where to spend PR and content effort.

## 5. Actionability
- Does it go beyond dashboards to content gaps, citation opportunities, and page-level recommendations?
- **AI crawler analytics.** Can it show how GPTBot, PerplexityBot, and similar bots crawl your site, using log files or a CDN integration?
- **Traffic attribution.** Can it connect visibility to actual AI referral traffic (via GA4 or similar) so you can report impact rather than just presence?

## 6. Operational basics
- Refresh frequency (daily vs. weekly)
- Data export, API access, and BI or Looker connectors
- Multi-brand or multi-region support if you're an agency or a global team
- A pricing model that scales sensibly. Per-prompt × per-engine pricing can get expensive quickly.
- Methodology transparency. Vendors who won't explain how they collect data are a red flag.

## Tools worth shortlisting
*(The market moves fast, so verify current features and pricing.)*
- **Profound**: enterprise-grade, strong on UI-based collection, citation analysis, and AI crawler analytics. Priced for larger budgets.
- **Peec AI**: clean, mid-market-friendly, good competitor benchmarking and source tracking.
- **Scrunch AI**: focuses on how AI represents your brand, plus optimization for AI agents.
- **Otterly.AI**: affordable and easy to start with. Good for SMBs or for testing before committing.
- **AthenaHQ** and **Goodie**: GEO-focused platforms with more emphasis on recommendations.
- **Semrush (AI Toolkit / AI Visibility)** and **Ahrefs Brand Radar**: convenient if you already use them for SEO, though they may be less deep than specialists.
- **Conductor** and **BrightEdge**: worth considering if you're already on their enterprise SEO platforms.

## How to run the evaluation
1. Build a fixed set of 50–100 prompts covering branded, category, and competitor comparisons.
2. Trial two or three tools in parallel for two to four weeks using the same prompts.
3. Spot-check results manually in ChatGPT, Perplexity, and Google. If a tool's numbers don't match what you see, that tells you a lot.
4. Choose based on citation insight and actionability, not dashboard polish.

If you tell me your budget, company size, and whether you already use Semrush or Ahrefs, I can narrow this to one or two picks.

The answer names none of the brand's names or aliases (Cheap Seats, CheapSeats, Popcorn, etc.); it only discusses other GEO vendors and generic evaluation criteria.

The main thing to check is whether the tool's data is trustworthy. Every tool in this category has a dashboard, but far fewer measure AI answers in a way that holds up. Below is what to check, in priority order, then a quick look at the vendors.

## 1. How it collects data (the most important part)
- **Repeat sampling.** ChatGPT, Perplexity and other AI engines give different answers to the same question each time. A good tool asks each prompt several times per check (one buyer's guide suggests 5–10), averages the results and shows how much they vary. If a tool reports your visibility from a single run, treat that as a red flag.
- **Real interface or API?** Ask whether it captures what users actually see in ChatGPT, AI Overviews and the rest, or whether it queries the raw model API. API answers often differ from the consumer product, especially on citations and web search.
- **Location, language and logged-out state.** Answers change by region and by user. Check that the tool can control for these.
- **Clear definitions.** Ask how it tells apart a *mention*, a *citation* (a link to your page), a *recommendation* (the AI actively suggests you) and *sentiment*. These measure different things and shouldn't be combined into one score.

## 2. Which AI engines it covers
At minimum: ChatGPT, Google AI Overviews / AI Mode, Perplexity, Gemini and Claude. Copilot and Meta AI are nice to have. Check which engines are included in **your** plan, because many vendors keep some engines for higher tiers.

## 3. Control over your prompts
- How many prompts each pricing tier allows, and whether you can write and edit them yourself rather than relying on prompts the vendor generates.
- Whether you can group prompts by persona, funnel stage, product line or competitor set. For product marketing, this matters more than the overall score.
- Whether it suggests prompts based on real search or conversation demand, or simply makes them up.

## 4. Analysis you can act on
- **Share of voice against your competitors,** broken down by engine and by group of prompts.
- **Which sources the AI cites.** Which third-party pages (Reddit, G2, review sites, publishers, docs) the AI relies on when it talks about your category. This is usually where the useful insight is, because it tells you where to do PR, reviews and content work.
- **Accuracy and positioning.** Whether the AI describes your product correctly (pricing, features, ideal customer) and whether the tool flags answers that are wrong or out of date.
- **Monitoring vs. fixing.** Some tools only measure. Others add content recommendations, page audits or AI crawler logs. Decide which one you need. A tool that only monitors is fine if your content team already knows what to do.

## 5. Tying it to business results
- Can it connect AI visibility to referral traffic from AI engines (via GA4 or your server logs) and to pipeline? Without that, you'll have trouble justifying the budget.
- Exports, API access, Looker or BI connectors, and alerts in Slack or email.

## 6. Commercial checks
- Seat limits, agency or multi-brand support, data retention and how much history you get. You need trends, so check that past data isn't deleted.
- How fast the vendor is adding features and how financially stable it is. This category is new and crowded, and some tools will disappear.

## The vendors (as of October 2026, roughly)
- **Profound:** aimed at large companies, with broad engine coverage and the deepest analytics. It's expensive at the higher tiers.
- **Scrunch:** strong for brands and agencies, with wide engine coverage on every plan.
- **Peec AI:** clean, affordable monitoring for mid-size and smaller teams. It measures well but deliberately doesn't try to fix anything.
- **Otterly.ai:** the cheapest way in (about $29/mo). Good for a small team testing the idea.
- **Semrush / Ahrefs AI add-ons and HubSpot's free AEO Grader:** worth trying first if you already pay for one of these.

Pricing in the roundups I found doesn't agree (for example, Peec appears at €70 in one and €89 in another, and Scrunch at $250 in one and $300 in another). Several of the comparisons were also written by competing vendors. Check prices directly with each vendor.

## Run a 2–3 week pilot before you sign
1. Write 30–50 prompts that real buyers would ask, across awareness, comparison and "best X for Y" questions.
2. Run the same prompt set in 2–3 tools at once.
3. Check a sample of their results by hand in each engine. Whichever tool matches what you see manually, and stays consistent from week to week, is the one to buy.
4. Review results monthly rather than daily, since day-to-day changes are mostly noise.

Sources:
- [GEO Platforms Compared 2026 (piabo)](https://munich2026.piabo.net/comparisons/geo-platforms-compared)
- [ToolJunction: AI search visibility GEO platforms](https://www.tooljunction.io/blog/ai-search-visibility-geo-platforms)
- [Marketful: 10 Best AI Visibility Tools 2026](https://marketful.com/ai-visibility-tools)
- [MarketerHire: Top Solutions for AI Visibility and GEO](https://marketerhire.com/blog/top-solutions-for-ai-visibility-and-generative-engine-optimization)
- [MarketerHire: Best GEO Tools Buyer's Guide](https://marketerhire.com/blog/best-generative-engine-optimization-tools)
- [Superlines: AI search visibility tools comparison](https://superlines.io/articles/ai-search-visibility-tools-comparison)
- [Waikay compare](https://waikay.io/compare/)
- [Dupple: Best GEO tools](https://dupple.com/learn/best-geo-tools)
- [Tenten: GEO monitoring tools comparison](https://geo.tenten.co/en/blog/geo-monitoring-tools-comparison)
- [redirection.io: GEO KPIs](https://redirection.io/blog/geo-which-kpis-to-track-in-search-ai)
- [LSEO: Tracking performance across generative engines](https://lseo.com/generative-engine-optimization/how-to-track-performance-across-generative-engines/)
- [Omnia: GEO tools](https://www.useomnia.com/blog/generative-engine-optimization-tools)

Searches: “AI visibility GEO tools comparison 2026 Profound Peec AI Scrunch Otterly” “how to evaluate generative engine optimization tool criteria prompt tracking methodology”

Cited: https://munich2026.piabo.net/comparisons/geo-platforms-compared https://www.tooljunction.io/blog/ai-search-visibility-geo-platforms https://marketful.com/ai-visibility-tools https://marketerhire.com/blog/top-solutions-for-ai-visibility-and-generative-engine-optimization https://marketerhire.com/blog/best-generative-engine-optimization-tools https://superlines.io/articles/ai-search-visibility-tools-comparison https://waikay.io/compare/ https://dupple.com/learn/best-geo-tools https://geo.tenten.co/en/blog/geo-monitoring-tools-comparison https://redirection.io/blog/geo-which-kpis-to-track-in-search-ai https://lseo.com/generative-engine-optimization/how-to-track-performance-across-generative-engines/ https://www.useomnia.com/blog/generative-engine-optimization-tools

The answer never names Cheap Seats, Popcorn, or any alias; it lists Profound, Scrunch AI, Otterly.AI, and Peec AI as shortlist options instead.

Look for tools that help you **make better marketing decisions**, beyond reporting how often an AI mentions your brand. AI visibility—often called GEO, or generative engine optimization—is noisy, so measurement quality matters more than a polished score.

Evaluate these seven things:

| What to evaluate | What to look for |
|---|---|
| **Relevant prompt coverage** | Prompts that reflect your buyers’ questions, purchase stages, categories, and markets. Ask how prompts are selected and weighted. |
| **Engine coverage** | Coverage of the AI experiences your customers use. Confirm whether the tool measures consumer-facing answers or API responses; those can differ. |
| **Repeatable measurement** | Repeated sampling, consistent settings, and historical trends. A single answer is a weak signal because outputs vary. |
| **Evidence behind the metrics** | Actual answer text, citations, timestamps, and prompt wording. You should be able to audit every reported mention. |
| **Meaningful competitive analysis** | Separate brand mentions, recommendations, citations, and factual accuracy. Being mentioned in a negative comparison isn’t a win. |
| **Actionable recommendations** | Specific content gaps, inaccurate claims, and influential sources to address—with evidence explaining why each action matters. |
| **Business relevance and workflow** | Exports, reporting, analytics integrations, and a way to connect findings to qualified traffic or conversions where possible. Check pricing as prompts, engines, and sampling frequency grow. |

**Ask vendors to define their “visibility” or “share of voice” score.** What’s the denominator? Are all prompts weighted equally? Does a passing mention count the same as a top recommendation? Scores across vendors usually aren’t directly comparable.

For a shortlist, tools worth evaluating include:

- **Profound:** Worth considering for enterprise-scale competitive intelligence and reporting.
- **Scrunch AI:** Worth considering for examining how AI systems represent your brand and finding improvement opportunities.
- **Otterly.AI or Peec AI:** Worth considering for a focused prompt-monitoring and competitor-tracking workflow.

Treat these as starting points; verify their current capabilities during demos.

**Run a pilot before committing.** Give each vendor the same 30–50 buyer-relevant prompts, your brand, and three competitors. Run it for several weeks. Compare the underlying answers, measurement consistency, and usefulness of the resulting actions—not just which dashboard gives you the highest score.

Red flags: guaranteed rankings, unexplained proprietary scores, recommendations limited to “publish more content,” and claims that visibility increases prove revenue impact.

The brand Cheap Seats (aliases CheapSeats, Popcorn, etc.) is never mentioned in the answer; only Ahrefs Brand Radar, Profound, and Google's guidance are named.

**Choose a tool that helps you decide what to change—and lets you verify why.** A rising “AI visibility score” alone isn’t enough to justify the investment.

For a product marketing team, I’d evaluate these seven things:

| What to evaluate | What to ask the vendor |
|---|---|
| **Relevant buyer questions** | Can we track questions from customer interviews, sales calls, and competitive evaluations? Can we segment by persona, use case, buying stage, language, and market? |
| **Transparent measurement** | Where do prompts come from? Are results collected from consumer interfaces or APIs? Which models, locations, and search settings are used? How often are prompts repeated? |
| **Auditable evidence** | Can we inspect the full answer, exact prompt, timestamp, and cited URLs behind every metric? Can we export that data? |
| **Message accuracy** | Does it distinguish being mentioned, being recommended, and being cited? Can it flag incorrect claims about pricing, capabilities, positioning, or competitors? |
| **Useful competitive analysis** | Can we identify the specific questions where competitors win—and the sources supporting those answers? |
| **Actionable recommendations** | Does it identify a specific page to improve, factual error to correct, or third-party source to investigate, with supporting evidence? |
| **Business fit and total cost** | Can it connect with analytics and reporting workflows? What happens to pricing when we add prompts, engines, countries, repetitions, seats, or exports? |

**Put the most scrutiny on the methodology.** A curated prompt set, a search-derived index, and a panel of actual user prompts answer different questions. For example, Ahrefs describes its index as search-backed, while Profound offers a separate dataset of real user prompts. Neither should automatically be treated as a complete picture of your buyers. Ask about coverage, sampling, and how any “volume” or “reach” estimate is calculated. [Ahrefs methodology](https://ahrefs.com/brand-radar), [Profound platform](https://www.tryprofound.com/features)

Also insist on a clear denominator: **“We appeared in 30% of these tracked answers” is interpretable; “we own 30% of AI search” requires much stronger evidence.** Keep a stable prompt set for trend reporting and track newly discovered questions separately.

For a shortlist, I’d start with:

- **Ahrefs Brand Radar** if your priority is broad competitive and category research. Its existing prompt index and custom tracking let you explore the market, then monitor selected questions. [Product details](https://ahrefs.com/brand-radar)
- **Profound** if you want to evaluate a broader workflow spanning answer monitoring, prompt research, and connections to site visits and conversion events. Validate the depth of those integrations during the demo. [Product details](https://www.tryprofound.com/features)

Treat these as candidates to test, rather than a universal ranking.

**Run a two-to-four-week pilot before signing an annual contract.** Give each vendor the same 30–50 buyer questions, three competitors, and priority markets. Include unbranded discovery questions, comparison questions, and questions testing your differentiation. Manually audit a sample of stored answers, check how much results fluctuate, and ask each vendor to produce three prioritized actions your team could actually execute.

Keep visibility and business impact as separate reporting layers. Track mentions, recommendations, citations, and message accuracy alongside referral conversions and self-reported discovery; don’t accept visibility growth as proof of incremental pipeline.

Finally, be skeptical of guaranteed placements or a proprietary “GEO score” presented as a platform requirement. Google’s guidance says established SEO practices remain relevant to its AI search features. A tool should help you prioritize better work, with evidence. [Google’s guidance](https://developers.google.com/search/docs/appearance/ai-features)

Searches: “AI visibility GEO tools evaluate prompt tracking citations accuracy Ahrefs Peec Profound | site.developers.google.com search AI features website SEO AI Overviews” “site.peec.ai source analysis prompts AI visibility models | site.tryprofound.com answer engine insights prompt volumes analytics | site.ahrefs.com brand radar AI visibility prompts index”

Cited: https://ahrefs.com/brand-radar https://www.tryprofound.com/features https://developers.google.com/search/docs/appearance/ai-features

The answer never names Cheap Seats, Popcorn, or any alias; it only recommends other AEO tools such as Peec AI and Profound.

**Short answer:** For most B2B SaaS teams, start with **Peec AI** for the best balance of price and capability. Choose **Profound** if you have enterprise budget and need the deepest data. Choose **Otterly.ai** if you just want cheap, simple monitoring.

Before you buy, confirm that the tool actually tracks **Claude**. Every tool covers ChatGPT, but Claude coverage is less consistent, and this market changes monthly.

## Top picks

| Tool | Best for | Why |
|---|---|---|
| **Profound** | Enterprise or well-funded teams | Broadest engine coverage and strongest analytics: share of voice, citation sources, sentiment, and prompt-volume estimates. It's expensive, typically sold with a sales call. |
| **Peec AI** | Mid-market B2B SaaS (my default pick) | Clean prompt tracking across ChatGPT, Perplexity, Gemini, Claude and others. Competitor benchmarking and source/citation analysis. Self-serve pricing that's reasonable. |
| **Otterly.ai** | Budget or getting started | Cheap and easy. Good for "are we mentioned for these 20 prompts, yes or no, and how is that trending?" Analytics are lighter. |
| **Scrunch AI** | Teams that want to act on findings | Strong on *why* you're not recommended (content gaps, how AI crawlers see your site), not just monitoring. |
| **Ahrefs Brand Radar / Semrush AI Toolkit** | Teams already paying for Ahrefs or Semrush | Convenient add-ons with less depth than the specialists. Fine if you want one dashboard. |

Other credible options: **AthenaHQ**, **Evertune** (statistically heavy, enterprise), and **Goodie**.

## What to evaluate (specific to B2B SaaS)

1. **Prompt design matters more than the tool.** Track buyer-intent prompts such as "best [category] for [use case/company size]", "[competitor] alternatives", and "[you] vs [competitor]". Brand-name queries aren't useful here.
2. **Repeated sampling.** LLM answers vary from run to run. Good tools run each prompt multiple times and report a mention *rate*. A single yes/no snapshot can mislead you.
3. **Consumer app vs API.** ChatGPT with web search behaves differently from the raw API model. Ask vendors which one they query, since your buyers use the apps.
4. **Citation/source data.** Knowing *which pages* the models cite (G2, Reddit, comparison posts, your docs) is the most actionable output. It tells you where to invest.
5. **Competitor share of voice.** You want "we appear in 30% of category prompts vs. Competitor X at 55%," not just "we were mentioned."

## Practical recommendation

- Run a **free trial of Peec AI and Otterly** at the same time for 2 weeks with the same 25–50 prompts.
- If your leadership wants board-level reporting and you have the budget, take a **Profound** demo.
- **Zero-cost sanity check first:** manually run your top 10 buyer prompts in ChatGPT and Claude, 3 times each, in fresh sessions. That tells you within an hour whether you have a problem worth paying to track.

Pricing and Claude support change frequently, so verify both on each vendor's site before committing.

The answer names Scrunch AI as its pick and Profound, Peec AI, Otterly AI, Ahrefs Brand Radar and Semrush AI Toolkit as alternatives. None of Cheap Seats, CheapSeats, Popcorn or the other aliases appears anywhere in the answer.

For a B2B SaaS team whose main question is "do ChatGPT and Claude recommend us?", I'd start with **Scrunch AI**. If you have an enterprise budget, look at **Profound**.

## My pick: Scrunch AI
- **It includes Claude on every plan.** I checked Scrunch's own pricing page today. Every tier covers ChatGPT, Claude, Gemini, Perplexity, Google AI Mode and AI Overviews, and Meta. This matters because many tools leave Claude out or charge extra for it. One third-party roundup says Claude is Enterprise-only at Scrunch, but the official page says otherwise.
- **Cost:** Starter is $250/month billed annually, or $300 month-to-month. It includes 350 custom prompts, 3 users and personas. There's a 7-day trial with no card required. Growth is $417/month billed annually, or $500 month-to-month.
- **Why it suits B2B:** Personas let you test prompts as different buyers, like a "CTO at a mid-market fintech" versus a "RevOps manager." In B2B, the answer you get depends a lot on who is asking. Note that one source says Scrunch is now part of Sitecore, which could affect its roadmap. I haven't confirmed that.

## Alternatives
| Tool | When to choose it | Caveat |
|---|---|---|
| **Profound** | Enterprise budget, need deep analytics, executive reporting, more engines | According to third-party reviews, Claude only clearly comes with Enterprise. Lower tiers are reportedly ChatGPT-only ($99) or ChatGPT, Perplexity and AI Overviews ($399). Enterprise is often quoted at $30k–100k+ a year. |
| **Peec AI** | Cheaper, simple dashboard, SMB or mid-market | Its pricing page lists ChatGPT, Perplexity and Gemini but doesn't mention Claude. Reviews say Claude is a paid add-on. Confirm before you buy. |
| **Otterly AI** | Cheapest option (from about $29/month) | Claude isn't among its core engines, so it doesn't answer your question. |
| **Ahrefs Brand Radar / Semrush AI Toolkit** | You already pay for one of these | Fine as an add-on, but shallower than dedicated tools. |

## Tips that matter more than which tool you pick
1. **The prompt set matters most.** Track the questions buyers actually ask, like "best [category] for [use case]" or "[competitor] alternatives." Leave out branded queries. Pull them from sales call notes and G2 reviews.
2. **Look at share of voice against 3–5 named competitors over weeks.** AI answers change from one run to the next, so a single check means little.
3. **Look at which sources get cited.** The most useful output is usually the list of pages the models rely on, such as G2, Reddit, comparison posts and docs. That list tells you where to spend PR and content effort.
4. **Check by hand a few times.** Some tools query the models through the API, which can give different answers than the consumer ChatGPT and Claude apps. Spot-check in the real apps.

**Bottom line:** Start the Scrunch trial with 30–50 buyer-intent prompts and your top competitors. If leadership later wants enterprise-grade reporting across more engines, get a Profound Enterprise quote.

Pricing and engine coverage come from vendor pages and third-party roundups, and many of the roundups are written by competing vendors. The figures change often, so confirm on the vendors' sites.

Sources:
- [Scrunch pricing](https://scrunch.com/pricing)
- [Peec AI pricing](https://peec.ai/pricing)
- [citedindex: Peec vs Profound vs Scrunch vs Otterly](https://citedindex.com/blog/choosing-an-ai-visibility-platform-2026/)
- [stork.ai: Profound vs Otterly vs Peec](https://www.stork.ai/blog/profound-vs-otterly-vs-peec)
- [Surmado: Best AI Visibility Tools 2026](https://www.surmado.com/blog/best-ai-visibility-tools-2026)
- [Otterly: GEO Tool Pricing 2026](https://otterly.ai/alternatives/pricing/)
- [Discovered Labs: Profound vs Peec vs Otterly](https://discoveredlabs.com/blog/profound-vs-peec-vs-otterly-which-ai-visibility-platform-should-you-buy)
- [Industry Lens: AI Search Visibility Tools](https://industry-lens.com/intelligence/ai-search)
- [AEO Labs: Profound alternatives](https://www.aeolabs.ai/blog/profound-alternatives)
- [GrackerAI: AI Visibility Tools for B2B SaaS](https://gracker.ai/blog/best-ai-visibility-tools-b2b-saas)
- [TechnologyAdvice: Best AEO Tools](https://technologyadvice.com/blog/sales/best-aeo-tools/)
- [Supermarketers: Best AI Visibility Tools for B2B SaaS](https://www.supermarketers.ai/aeo/best-ai-visibility-tools)

Searches: “best AEO AI visibility tracking tools B2B SaaS ChatGPT Claude 2026” “Profound vs Peec AI vs Scrunch vs Otterly AI visibility tool comparison Claude tracking pricing”

Cited: https://scrunch.com/pricing https://peec.ai/pricing https://citedindex.com/blog/choosing-an-ai-visibility-platform-2026/ https://www.stork.ai/blog/profound-vs-otterly-vs-peec https://www.surmado.com/blog/best-ai-visibility-tools-2026 https://otterly.ai/alternatives/pricing/ https://discoveredlabs.com/blog/profound-vs-peec-vs-otterly-which-ai-visibility-platform-should-you-buy https://industry-lens.com/intelligence/ai-search https://www.aeolabs.ai/blog/profound-alternatives https://gracker.ai/blog/best-ai-visibility-tools-b2b-saas https://technologyadvice.com/blog/sales/best-aeo-tools/ https://www.supermarketers.ai/aeo/best-ai-visibility-tools

The answer names Profound and Peec AI as tools to evaluate but never mentions Cheap Seats, Popcorn, or any alias of the brand, so the brand is absent.

**I’d shortlist Profound first** for a B2B SaaS company trying to measure whether AI assistants recommend its product. It focuses on AI answer visibility: brand mentions, competitor comparisons, citations, and the prompts that produce those answers.

The deciding factor should be **direct coverage of both ChatGPT and Claude**. I can’t confirm current coverage from memory, so make that a requirement in the demo. Tracking one assistant doesn’t tell you what the other recommends.

Ask Profound to demonstrate your actual buying questions, such as:

- “What’s the best [category] software for a [customer type]?”
- “What are the alternatives to [competitor]?”
- “Compare [your product] with [competitor] for [use case].”

You want to see whether your company gets **recommended**, how it’s described, which competitors appear, and which sources support the answer—not just whether your name appears somewhere.

**Peec AI is another tool worth evaluating** for focused brand and competitor visibility tracking. Apply the same ChatGPT-and-Claude coverage requirement.

My practical recommendation: run a trial with 30–50 high-intent buying prompts, repeated over time. Choose the tool that shows inspectable answers from both assistants and distinguishes a passing mention from a genuine recommendation. A single aggregate “AI visibility score” won’t answer your question reliably.

The answer names Profound as its first shortlist pick and OtterlyAI as the alternative, but never mentions Cheap Seats, Popcorn, or any other alias of the brand.

**I’d shortlist Profound first for a B2B SaaS company—with Claude coverage explicitly included in the quote.** It combines competitor visibility, sentiment, and citation analysis, which helps you understand whether you’re being recommended, how you’re positioned, and which sources influence the answer.

The catch: **Claude requires its custom Enterprise plan.** Profound’s $99/month Starter tracks ChatGPT only; its $399/month Growth plan covers ChatGPT, Perplexity, and Google AI Overviews. Those published prices are billed annually. [Profound pricing](https://www.tryprofound.com/pricing)

If Enterprise pricing is too much, **evaluate OtterlyAI with its Claude add-on**. It supports both engines and tracks brand mentions and citations. Confirm Claude availability for your target countries and the total subscription cost before buying. [Supported engines](https://help.otterly.ai/which-ai-searches-does-otterlyai-support), [Claude add-on](https://help.otterly.ai/how-can-i-purchase-extra-engines)

For the evaluation, give each vendor the same 30–50 buyer prompts, such as:

- “Best [category] software for a 200-person SaaS company.”
- “[Competitor] alternatives with [required integration].”
- “Which [category] tool should a [buyer role] choose?”

Ask to see **the actual answers, explicit recommendations versus passing mentions, competitor results, and cited sources**, separately for ChatGPT and Claude. Also ask whether collection uses the consumer interface or an API.

My buying advice: run a month-long pilot before signing annually. These tools measure results for sampled prompts; they don’t reveal every private buyer conversation. The useful KPI is **how often you make the recommended shortlist for relevant, unbranded buying questions**, tracked over time.

Searches: “Profound Claude ChatGPT answer engine optimization tracking recommendations | Peec AI Claude ChatGPT supported models | Otterly AI Claude supported AI engines” “site.peec.ai pricing Claude ChatGPT | site.tryprofound.com pricing Claude answer engine | site.scrunch.com Claude ChatGPT monitoring pricing”

Cited: https://www.tryprofound.com/pricing https://help.otterly.ai/which-ai-searches-does-otterlyai-support https://help.otterly.ai/how-can-i-purchase-extra-engines

The brand Cheap Seats (aliases CheapSeats, Popcorn, etc.) is not mentioned anywhere in the answer, which only lists alternatives to Profound. Verdict is absent.

# Alternatives to Profound for AI Search Visibility Tracking

Profound is the enterprise-heavy option. The right alternative depends on your budget, team size, and whether you already use an SEO suite. These are the strongest options as of my last check. Pricing and features in this category change quickly, so verify current details.

## Best overall alternatives (dedicated GEO/AEO tools)

**Peec AI**
- **Good for:** Mid-market and growth teams that want Profound-style tracking at a lower price.
- **Why:** It has a clean UI and tracks prompts across ChatGPT, Perplexity, Gemini, and others. It covers brand mentions, share of voice versus competitors, and source/citation analysis. It's strong for agencies and multi-brand setups.

**Scrunch AI**
- **Good for:** Brands that want to *act* on visibility, not just measure it.
- **Why:** It does monitoring plus insight into how AI agents perceive and crawl your site. It also offers an "agent experience" layer that serves AI-optimized versions of pages.

**AthenaHQ**
- **Good for:** Teams that want recommendations alongside tracking.
- **Why:** It combines tracking with content and action suggestions, and its competitor benchmarking is solid. It's often cited as a direct Profound competitor at a lower entry price.

**Otterly.AI**
- **Good for:** Small teams, solo marketers, and anyone on a budget.
- **Why:** It's affordable and easy to set up. It covers brand mention and link citation monitoring across the major AI engines. It's less depth than Profound, but enough to establish a baseline.

## If you already pay for an SEO suite

**Semrush (AI Toolkit / AI SEO features)**
- **Why:** It tracks AI visibility next to your existing keyword and traffic data, so there's no new vendor to onboard.

**Ahrefs Brand Radar**
- **Why:** It's built on a large prompt/query dataset, which makes it good for market-level share-of-voice comparisons without hand-building prompt lists.

**Enterprise SEO platforms (Conductor, BrightEdge, seoClarity)**
- **Why:** All three have added AI search/AIO visibility modules. They make sense if you're already under contract and want everything in one reporting stack.

## Other options worth a look

- **Evertune:** Enterprise, with a statistical approach. It runs large prompt volumes to measure brand perception, which suits big consumer brands.
- **Goodie AI:** Monitoring plus optimization workflows.
- **Rankscale:** Budget-friendly, with granular prompt-level tracking.
- **HubSpot AI Search Grader:** Free. Use it as a quick sanity check before you buy anything.

## Quick recommendation

| Situation | Pick |
|---|---|
| Want Profound-like depth, lower cost | **Peec AI** or **AthenaHQ** |
| Small budget / just starting | **Otterly.AI** (plus the free HubSpot grader) |
| Already on Semrush or Ahrefs | Use their built-in AI visibility features first |
| Want to optimize, not just monitor | **Scrunch AI** |
| Large enterprise brand | **Evertune** or stay with **Profound** |

## Tips for evaluating

- **Prompt set quality matters more than the tool.** Build 50–200 prompts that reflect real buyer questions across awareness, comparison, and purchase intent.
- **Check engine coverage.** At minimum you want ChatGPT, Google AI Overviews/AI Mode, Perplexity, and Gemini. Claude and Copilot are a bonus.
- **Look at citation/source data,** not just mentions. Knowing *which* pages and third-party sites LLMs pull from is what makes the data actionable for content and PR.
- **Run two tools side by side for 2–4 weeks.** AI answers are noisy, so compare consistency before committing to an annual contract.

If you share your budget range and team size, I can narrow this to one or two picks.

The answer never names Cheap Seats, Popcorn, or any other alias of the brand, so the verdict is absent. It recommends other AI-visibility trackers and SEO-suite add-ons instead.

No one tool replaces Profound outright. The right pick depends on what you mainly need: just monitoring, AI tracking built into an SEO tool you already pay for, or help acting on what you find. Here's how the main options split.

**Pure AI-visibility trackers (the closest like-for-like swaps)**
- **Peec AI**: The best default for most marketing teams. Pricing is published (around €85–95/mo to start), setup is fast, and you get clean share-of-voice and competitor tracking across the major AI engines. Several reviewers name it their top pick for those reasons.
- **AthenaHQ**: The closest match to Profound's depth for less money (about $245–295/mo). Good if you want prompt-level analysis and recommendations without enterprise sales cycles.
- **Scrunch AI**: About $250–300/mo. Besides tracking, it has an "Agent Experience" layer that reshapes how your pages are served to AI crawlers. That's useful if you want to act on the data, not just report on it.
- **Otterly.AI**: The budget option, from about $29/mo. Simple monitoring that works well for a pilot, a single brand, or a small team that wants to prove the category's value before spending more.

**Add-ons to SEO suites (if you already pay for one)**
- **Semrush AI Visibility Toolkit** and **Ahrefs Brand Radar**: Choose whichever matches the suite you already use. You keep classic SEO and AI visibility in one place, and one less vendor is easier to get through finance.
- **SE Ranking**: Starts around $129/mo. A good value if you don't have a large SEO suite yet.

**Monitoring plus content work**
- **Writesonic**: About $199/mo. Combines tracking with tools to create and optimize content, so it suits teams that want "here's the gap, now fix it" in one place.
- **AirOps**: Fits the same need, built more around content workflows.

**Enterprise or PR-heavy teams**
- **Adobe LLM Optimizer** if you're already on Adobe. **Meltwater GenAI Lens** if comms/PR owns brand monitoring.

**How I'd choose**
- If you mostly want Profound-style insight at a lower cost and with self-serve buying, go with **Peec AI** or **AthenaHQ**.
- If you need to go from tracking to fixing things, look at **Scrunch** or **Writesonic**.
- If you want to test cheaply first, use **Otterly**.
- If you're already on Semrush or Ahrefs, turn on their AI module before buying a separate tool.

**Caveats**
- Most comparison articles are written by vendors who rank themselves first.
- Prices in these sources disagree and change often, so treat the figures above as rough and check vendor sites.
- These tools also return different results for the same prompts. Before you commit, trial two of them side by side for a couple of weeks using your own prompt set and competitor list.

Sources:
- [SE Ranking – Profound alternatives](https://seranking.com/blog/profound-alternatives/)
- [RankAI – Profound alternatives](https://rankai.ai/articles/profound-alternatives)
- [Superlines – Best Profound alternatives](https://www.superlines.io/articles/best-profound-alternatives)
- [SEO-Day – 8 Profound alternatives](https://www.seo-day.de/news/article/8-top-profound-alternatives-your-marketing-team-can?lang=en)
- [Writesonic – Profound alternatives](https://writesonic.com/blog/profound-alternatives)
- [Alex Birkett – 9 Best Profound Alternatives](https://alexbirkett.com/profound-alternatives/)
- [Debutify – Best Profound alternatives](https://debutify.com/blog/best-profound-alternatives-for-ai-search-visibility)
- [GEO Toolbox – Profound alternatives](https://geotoolbox.ai/blog/profound-alternatives)
- [MarketerHire – Top AI visibility/GEO solutions](https://marketerhire.com/blog/top-solutions-for-ai-visibility-and-generative-engine-optimization)
- [Texta – Best GEO tools 2026](https://www.texta.ai/blog/best-geo-tools-2026)
- [Dupple – Best GEO tools](https://dupple.com/learn/best-geo-tools)
- [Gracker – AI visibility tools for B2B SaaS](https://gracker.ai/blog/best-ai-visibility-tools-b2b-saas)
- [Rankability – AthenaHQ alternatives](https://www.rankability.com/blog/athenahq-ai-alternatives/)
- [StartupHub – 13 Best GEO tools](https://www.startuphub.ai/news/best-geo-ai-visibility-tools)
- [Metehan – Best AI visibility tools](https://metehan.ai/articles/best-ai-visibility-tools)
- [ToolJunction – AI search visibility platforms](https://www.tooljunction.io/blog/ai-search-visibility-geo-platforms)

Searches: “Profound alternatives AI search visibility tracking tools 2026” “best GEO AI visibility tools pricing Peec AI Scrunch Otterly AthenaHQ 2026”

Cited: https://seranking.com/blog/profound-alternatives/ https://rankai.ai/articles/profound-alternatives https://www.superlines.io/articles/best-profound-alternatives https://www.seo-day.de/news/article/8-top-profound-alternatives-your-marketing-team-can?lang=en https://writesonic.com/blog/profound-alternatives https://alexbirkett.com/profound-alternatives/ https://debutify.com/blog/best-profound-alternatives-for-ai-search-visibility https://geotoolbox.ai/blog/profound-alternatives https://marketerhire.com/blog/top-solutions-for-ai-visibility-and-generative-engine-optimization https://www.texta.ai/blog/best-geo-tools-2026 https://dupple.com/learn/best-geo-tools https://gracker.ai/blog/best-ai-visibility-tools-b2b-saas https://www.rankability.com/blog/athenahq-ai-alternatives/ https://www.startuphub.ai/news/best-geo-ai-visibility-tools https://metehan.ai/articles/best-ai-visibility-tools https://www.tooljunction.io/blog/ai-search-visibility-geo-platforms

The brand Cheap Seats (aliases include Popcorn, CheapSeats, cheapseats.dev) is never named in the answer; the answer lists Scrunch AI, Peec AI, Otterly.AI, AthenaHQ and Writesonic GEO instead.

If you’re evaluating alternatives to **Profound for tracking visibility in AI-generated answers**, I’d start with these:

| Tool | Why consider it | Best fit |
|---|---|---|
| **Scrunch AI** | Focuses on how AI assistants represent your brand, with visibility monitoring and insights into content or website issues that may affect discovery. | Marketing teams that want monitoring plus guidance on what to improve. |
| **Peec AI** | Offers a focused way to track brand mentions, competitors, and cited sources across AI search experiences. | Teams that want straightforward reporting without a broad SEO suite. |
| **Otterly.AI** | Tracks prompts, brand mentions, and citations, making it a practical option for a smaller monitoring program. | Lean teams testing AI visibility tracking. |
| **AthenaHQ** | Combines AI visibility measurement with recommendations aimed at improving your presence in AI answers. | Growth teams looking for an ongoing optimization workflow. |
| **Writesonic GEO** | Connects visibility tracking with content creation and optimization tools. | Content teams that want measurement and execution in one platform. |

**My shortlist:** Demo **Peec AI** for focused reporting, **Scrunch AI** for diagnosis and improvement guidance, and **Otterly.AI** for a smaller initial rollout. Add **AthenaHQ** if actionable recommendations are your priority.

For a useful comparison, give each vendor the **same 30–50 prompts** covering category discovery, comparisons, and purchase intent. Evaluate:

- **Coverage:** Which AI platforms, countries, and languages can it actually measure?
- **Repeatability:** Does it sample prompts repeatedly to account for answer variability?
- **Evidence:** Can you inspect the original answers, citations, dates, and competitors mentioned?
- **Actionability:** Does it explain which sources and pages are associated with visibility?
- **Cost:** How does pricing change with prompt count, platforms, and tracking frequency?

Treat visibility scores as a **directional benchmark**, not a precise measure of how often all buyers see your brand. Features and pricing may have changed, so confirm those details during demos.

The answer never names Cheap Seats, CheapSeats, cheapseats.dev, Popcorn, or any other alias of the brand. It recommends Peec AI and Otterly.AI as its top alternatives to Profound.

**I’d start with Peec AI, Otterly.AI, and Scrunch.** For a product marketing team, they offer three useful paths: competitive reporting, affordable monitoring, and deeper diagnosis.

Based on their current product offerings, here’s the shortlist:

| Tool | Best fit | Why consider it |
|---|---|---|
| **[Peec AI](https://peec.ai/)** | Marketing-led competitive tracking | Tracks visibility, position, and sentiment, with custom prompts, tags, and country tracking. A strong starting point for measuring how your brand appears across buyer questions and reporting changes to leadership. |
| **[Otterly.AI](https://otterly.ai/)** | A focused monitoring pilot | Tracks brand mentions, cited links, and competitors across platforms including ChatGPT, Perplexity, and Google’s AI search experiences. Worth evaluating when you want straightforward ongoing measurement. |
| **[Scrunch](https://scrunch.com/)** | Finding out *why* visibility is weak | Combines prompt and citation tracking with AI crawler monitoring, crawl-error detection, and benchmarking by persona, topic, and geography. Useful when marketing can partner with web and technical teams to act on findings. |
| **[AthenaHQ](https://athenahq.ai/)** | Tracking plus optimization workflows | Offers cross-platform visibility tracking, citation analysis, content recommendations, and executive reporting. Consider it if you want the tool to help organize improvement work alongside measurement. |
| **[Ahrefs Brand Radar](https://ahrefs.com/brand-radar)** | Broad competitive research | Offers both a searchable AI visibility index and custom prompt tracking. Useful for discovering competitors and citation opportunities beyond the questions you already know to monitor. Those are separate offerings, so compare their costs carefully. |
| **[Semrush AI Visibility Toolkit](https://www.semrush.com/kb/1496-getting-started-with-ai-visibility-toolkit?edition=starter)** | Teams already working in Semrush | Provides brand visibility benchmarks, mentions, citations, and breakdowns by model and country. A practical option for keeping AI visibility analysis alongside your existing search workflow. |

**My recommendation:** trial **Peec AI and Otterly.AI** for a reporting-focused use case; add **Scrunch** if you also need technical diagnosis. Evaluate **Ahrefs or Semrush** first if your SEO team already uses either.

For a useful comparison, give each vendor the **same 30–50 buyer prompts**, covering category discovery, use cases, competitor comparisons, and purchase criteria. Compare:

- Brand inclusion and share of voice against the same competitors.
- Whether answers accurately describe your positioning and differentiators.
- Which sources get cited and whether the tool exposes the underlying answers.
- Total cost for your required models, countries, update frequency, and exports.

Treat visibility scores as measurements of the tool’s sampled answers. Pair them with referral traffic and conversions before using them to claim business impact.

Searches: “Profound alternatives AI search visibility tracking Scrunch Otterly Peec AI AthenaHQ | Semrush AI visibility toolkit Ahrefs brand radar AI search visibility”

Cited: https://peec.ai/ https://otterly.ai/ https://scrunch.com/ https://athenahq.ai/ https://ahrefs.com/brand-radar https://www.semrush.com/kb/1496-getting-started-with-ai-visibility-toolkit?edition=starter

The answer never names Cheap Seats, CheapSeats, Popcorn, or any other alias of the brand. It compares only Peec AI and Profound and lists other tools as alternatives.

**Short answer:** For most mid-size marketing teams, **Peec AI** is the better fit. Choose **Profound** if you have enterprise-level budget, need deeper analytics, or AI search is already a top-line KPI with exec visibility.

Pricing and plan details in this category change often. Verify current tiers before you commit.

## How they compare

| | **Peec AI** | **Profound** |
|---|---|---|
| **Positioning** | Lean, marketer-friendly AI visibility tracking | Enterprise "answer engine optimization" platform |
| **Price** | Lower entry point, roughly hundreds of €/month for typical tiers. Extra engines and prompts are add-ons. | Higher. Entry plans have been in the ~$500/month range, and full value sits in custom enterprise contracts. |
| **Setup and usability** | Fast to set up, clean UI, easy for a generalist marketer to own | More powerful but heavier. Works best with a dedicated owner. |
| **Core tracking** | Brand visibility, position, and sentiment across ChatGPT, Perplexity, and Google AI Overviews/AI Mode, with more models available. Competitor benchmarking and source/citation analysis. | Same core tracking, plus broader engine coverage and more granular reporting |
| **Standout features** | Source analysis (which domains and URLs LLMs cite), so you know where to do PR and content work. Good value per prompt tracked. | **Conversation Explorer** (estimated prompt/topic volumes), **Agent Analytics** (how AI crawlers hit your site, from server logs), and content/optimization workflows |
| **Best for** | Teams that want clear signal on "are we showing up, vs. whom, and why" without a big contract | Larger brands that want demand data, technical crawler insight, and an agency-style service layer |

## How to decide

**Pick Peec AI if:**
- AI visibility is one workstream among many, and one person owns it part-time.
- You want to track 50–300 prompts against 3–5 competitors and act on citation gaps.
- You need to prove value before asking for a bigger budget.

**Pick Profound if:**
- You need to estimate *which* AI prompts have volume, not just track the prompts you chose.
- Your web or SEO team wants crawler-level data on how GPTBot, PerplexityBot, and similar bots access your site.
- You're reporting AI share-of-voice to leadership and need enterprise features (SSO, multiple brands or regions, a dedicated CSM).

## Practical next step

Run both side by side for 2–3 weeks with the **same prompt set**: 30–50 prompts covering category, comparison, and problem-aware queries, plus the same competitors. Then compare three things:
1. Whether their visibility numbers agree directionally.
2. Which one surfaces more *actionable* citation sources.
3. How much time your team spent getting value out of each.

If Peec answers your questions, the price difference is hard to justify. If you keep asking "but what are people actually searching for in ChatGPT?", that's the case for Profound.

Worth shortlisting as alternatives: **Semrush AI Toolkit** or **Ahrefs Brand Radar** if you already pay for one of those suites, and **Scrunch AI** or **Otterly.ai** as other mid-market options.

The answer compares Peec AI and Profound only and never names Cheap Seats, its domains, or the Popcorn aliases, so the brand is absent. The answer's top pick is Peec AI for mid-size teams.

For most mid-size marketing teams, **Peec AI is the better fit.** Pick Profound if you have a budget of roughly $20k–60k+ a year and need more than tracking.

**What changed recently:** In mid-September 2026, Profound dropped its self-serve brand plans, the $99 Starter and $399 Growth tiers. Its pricing page now lists only a free trial and custom-priced Enterprise for brands. Many review sites still show the old $99/$399 tiers, so ignore those. Third-party reviewers estimate Enterprise contracts at about $1,500–$5,000+ per month, but those numbers aren't confirmed until you get a quote.

**Side by side**

| | **Peec AI** | **Profound** |
|---|---|---|
| Entry price | About $95–$495/mo across Starter, Pro and Advanced (reports vary, some list it in euros). Enterprise is custom. | Free 7-day trial, then Enterprise only (custom) |
| Prompts | Reported as 50, 150 and 350 by tier | Custom tracking plan |
| AI engines | 3 per plan. Extra engines cost about $30–$140/mo each | Up to 9: ChatGPT, Perplexity, Gemini, AI Mode, AI Overviews, Copilot, Claude, DeepSeek, Exa |
| Seats | Unlimited on paid plans | Unlimited |
| Strength | Clean, self-serve monitoring and reporting. Quick to set up | Tracking plus "AI Marketer" agents that create content. Prompt-volume data. SSO and SOC 2 |
| Weakness | Mostly monitoring. Few built-in steps to act on the data | Expensive. Some users say it's complex and takes a while to learn |

**Choose Peec AI if:**
- You want to start tracking AI visibility this month without going through procurement. You can sign up yourself and it's cheap enough to test.
- Your team will act on the data with your existing content and SEO tools.
- Three engines cover most of your audience. For most B2B and B2C teams, ChatGPT, Perplexity and Google AI Overviews/Mode do.
- The Pro or Advanced tier (about $245–$495/mo) is probably right for a mid-size team with several products or markets.

**Choose Profound if:**
- AI search is a board-level priority and you can sign an enterprise contract.
- You need full engine coverage, including Copilot and Claude, plus SSO, SOC 2 and dedicated support.
- You want one platform that tracks visibility and also drafts and optimizes content with agents.

**How to decide:** Run both trials. Peec's is reportedly 7 days with no card required. Profound's runs 50 preset prompts daily for 7 days on 3 engines, and you can't customize the prompts. Then compare the results on 20–30 prompts that matter to you. If Peec's data is good enough to act on, the price difference is hard to justify. Also ask Profound for a quote early, because that number usually settles it.

A caveat on the sources: most comparisons are written by the vendors themselves (Profound, Peec) or by competitors (Scrunch, SE Ranking), and they don't agree on prices. Check current figures with both sales teams.

**Sources:**
- [Profound pricing page](https://www.tryprofound.com/pricing)
- [eClincher: Profound's pricing change](https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change)
- [Strategi: Profound review](https://strategi.is/blogs/profound-review-what-it-does-what-it-costs-and-what-it-wont-do)
- [Rankability: Profound review](https://www.rankability.com/blog/profound-ai-review/)
- [G2: Profound pricing](https://www.g2.com/products/profound/pricing)
- [Peec AI pricing](https://peec.ai/pricing)
- [Mavek: Peec AI review (Oct 2026)](https://mavek.ai/blog/peec-ai-review/)
- [Xtrusio: Peec pricing and prompt limits](https://xtrusio.com/blog/peec-ai-pricing-plans-prompt-limits)
- [SE Ranking: Peec AI review](https://visible.seranking.com/blog/peec-ai-review/)
- [Scrunch: Peec AI vs Profound](https://scrunch.com/aeo-tools/compare/peec-ai-vs-profound/)
- [Peec: Peec vs Profound](https://peec.ai/comparison/peec-vs-profound)
- [Profound: Profound vs Peec AI](https://www.tryprofound.com/blog/profound-vs-peec-ai)

Searches: “Peec AI pricing plans 2026” “Profound AI visibility pricing plans 2026” “Peec AI vs Profound comparison review”

Cited: https://www.tryprofound.com/pricing https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change https://strategi.is/blogs/profound-review-what-it-does-what-it-costs-and-what-it-wont-do https://www.rankability.com/blog/profound-ai-review/ https://www.g2.com/products/profound/pricing https://peec.ai/pricing https://mavek.ai/blog/peec-ai-review/ https://xtrusio.com/blog/peec-ai-pricing-plans-prompt-limits https://visible.seranking.com/blog/peec-ai-review/ https://scrunch.com/aeo-tools/compare/peec-ai-vs-profound/ https://peec.ai/comparison/peec-vs-profound https://www.tryprofound.com/blog/profound-vs-peec-ai

The answer compares Peec AI and Profound only and never names Cheap Seats, Popcorn, or any alias of the brand.

For a mid-size marketing team, **I’d start with Peec AI** if your main goal is to track visibility in AI answers and turn those findings into content priorities. **I’d lean toward Profound** if AI search is already a strategic program that needs deeper analysis across brands, markets, or stakeholders.

That’s a directional recommendation based on their positioning; I haven’t verified current features or pricing.

| Your priority | Better starting point | Why |
|---|---|---|
| Straightforward monitoring for a lean team | **Peec AI** | Its positioning centers on tracking brand visibility, competitors, and sources in AI answers. |
| A more extensive AI search intelligence program | **Profound** | Its positioning emphasizes broader analysis and enterprise-oriented workflows. |
| Getting useful insights with limited analyst time | **Peec AI** | It’s the option I’d evaluate first for a focused, manageable workflow. |
| Supporting complex reporting needs | **Profound** | It’s worth evaluating when depth and organizational scale justify additional cost and effort. |

**My practical recommendation:** pilot Peec AI first, and include Profound if you have a dedicated SEO/content owner who can put richer analysis to work. Team size matters less than how much time you can spend acting on the data.

For a fair comparison, give both vendors the same 30–50 prompts covering your category, buying questions, and competitors. Ask each to demonstrate:

- Which answers mention your brand, and which cite your website?
- Which competitor sources explain your visibility gaps?
- What three content actions should your team take next?
- What does the full quote include—models, markets, prompt limits, users, and exports?

Choose the tool that produces the clearest actions at a sustainable total cost. Treat visibility scores as directional: AI answers vary, and a higher score alone doesn’t establish traffic, leads, or revenue impact.

The answer compares Peec AI and Profound and never names the brand Cheap Seats or any of its aliases (Popcorn, CheapSeats, cheapseats.dev, popcorn.zone), so the brand is absent.

**Peec AI is my default recommendation for a mid-size marketing team.** Choose **Profound** if you have a dedicated AI-search owner and want a broader platform for analytics, content, and automated marketing workflows.

That recommendation is based on their current published offerings, checked October 22, 2026—not a hands-on accuracy benchmark.

| What matters | Peec AI | Profound |
|---|---|---|
| **Best fit** | A focused AI-search measurement program | A broader AI-search and marketing operations program |
| **Tracking** | Daily brand visibility, sentiment, competitor comparisons, and citation analysis | Visibility, citations, sentiment, and competitive presence across answer engines |
| **Team-sized plan** | Pro: 150 prompts, 3 models, 2 projects. Advanced: 350 prompts, 5 projects, multi-country tracking and Looker Studio | Enterprise: custom prompt allowance, regions, and coverage of up to 9 answer engines |
| **Collaboration** | Unlimited users on every plan | Unlimited seats; shared Projects on Enterprise |
| **Buying model** | Published self-serve tiers | Current brand offering is a free trial followed by custom Enterprise pricing |

Sources: [Peec plans and features](https://peec.ai/pricing), [Profound plans and features](https://www.tryprofound.com/pricing).

**Why I’d start with Peec:** For a team that already has writers, an SEO workflow, and reporting tools, the immediate need is usually to answer: “Where do we appear, which competitors beat us, and which sources influence those answers?” Peec’s focus fits that job. Start with **Pro** for a concentrated program; choose **Advanced** if you need multiple countries or Looker Studio reporting. Peec also lists recommended actions and agent capabilities, so it’s worth checking their availability in your chosen tier. [Peec pricing](https://peec.ai/pricing)

**When Profound earns the extra evaluation:** You want the platform to help execute work as well as measure visibility. Profound offers brand context, reusable marketing Agents, shared workspaces, prompt-volume research, and AI-traffic analytics. Its Agents consume credits, so request a quote covering both tracking and realistic workflow usage. The current brand pricing page does not publish a paid entry-level price. [Profound pricing](https://www.tryprofound.com/pricing)

**My practical buying advice:** Pilot Peec first with 50–100 commercially relevant questions covering category discovery, comparisons, and objections. Ask Profound to demonstrate those same questions and turn the findings into a usable content brief and action plan. Its free trial uses vendor-recommended prompts that you cannot customize, so arrange a tailored demo for that comparison.

Pick the tool that produces useful actions your team can complete each week. **For most mid-size teams, that points to Peec; Profound becomes compelling when its execution workflows solve a clear staffing or production bottleneck.**

Searches: “site.peec.ai pricing AI search analytics | site.tryprofound.com pricing marketers platform”

Cited: https://peec.ai/pricing https://www.tryprofound.com/pricing

The answer never names Cheap Seats, CheapSeats, Popcorn, or any alias; it only discusses Otterly.AI, Peec AI, and other tools. The word 'Popcorn' does not appear, so the brand is absent.

**Short answer: Start with Otterly.AI if budget is the main constraint. Choose Peec AI if you can spend about €90/month and care most about competitor benchmarking and citation-source insights.**

Pricing changes often in this category, so check current tiers before you buy. Here's how they compared as of my last information.

## Otterly.AI: best for the lowest entry cost
- **Price:** The Lite plan started around **$29/month** for a small set of tracked prompts (about 15). The next tier jumps to roughly $189/month.
- **Coverage:** ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot, with Gemini and AI Mode available on some plans.
- **Strengths:** Simple brand-mention and citation tracking, link/domain citation reports, a GEO audit feature, and a Semrush app integration if you already use Semrush.
- **Weakness:** The cheapest tier tracks so few prompts that it works for monitoring a handful of priority queries, not for broad category analysis.

## Peec AI: best value per dollar if you can stretch
- **Price:** The Starter plan was around **€89/month** with about 25 prompts. Pro was around €199.
- **Coverage:** ChatGPT, Perplexity, and AI Overviews in the base plan. Claude, Gemini, AI Mode, and others are paid add-ons.
- **Strengths:** Clear share-of-voice and competitor benchmarking, strong source analysis (which domains the AI engines cite, so you know where to earn coverage), and good multi-country and multi-language support.
- **Weakness:** A higher floor than Otterly, and expanding model coverage costs extra.

## How to decide
| If you... | Pick |
|---|---|
| Have under ~$50/month and need basic "are we mentioned?" monitoring | **Otterly Lite** |
| Need to show leadership share of voice against competitors | **Peec Starter** |
| Want to know which publications and sites to target for PR/content | **Peec** (better source analysis) |
| Already live in Semrush | **Otterly** |
| Market in several countries or languages | **Peec** |

## Tips for a tight budget
1. **Choose prompts carefully.** With 15–25 prompts, use high-intent category queries ("best X for Y," "X vs competitor"), not branded ones.
2. **Use the free trials of both at the same time** with the same prompt set. Compare which tool's data looks more stable and actionable for your category.
3. **Expect noisy results.** AI answers vary from run to run, so watch trends over weeks rather than reacting to daily changes.
4. **Know when to upgrade.** If you outgrow either tool, look at Profound (enterprise-grade, much pricier) or the AI visibility toolkits in Semrush and Ahrefs, which may be cheaper if you already pay for those suites.

The brand Cheap Seats (aliases include Popcorn, CheapSeats, cheapseats.dev) is never mentioned in the answer; only Otterly.AI and Peec AI are named.

**For the tightest budget, go with Otterly.AI Lite (about $29/mo). If you need more than about 15 prompts, Peec AI Starter (about $95/mo) is the better deal.** Per prompt they cost almost the same. The real difference is where each one's pricing jumps.

**Current pricing (third-party reviews, July–Oct 2026):**

| | Otterly.AI | Peec AI |
|---|---|---|
| Entry plan | **Lite: $29/mo** (~$25 billed annually), **15 prompts** | **Starter: ~$95/mo** (~$80 billed annually), **50 prompts** |
| Next tier | Standard: $189/mo, 100 prompts | Pro: ~$245/mo, 150 prompts |
| Cost per prompt at entry | ~$1.93 | ~$1.90 |
| Engines included | ChatGPT, Google AI Overviews, Perplexity, Copilot. Gemini, AI Mode and Claude cost extra | You pick any 3. Each extra engine costs about $30/mo or more |
| Trial | Free trial (often cited as 14 days) | Reportedly 7 days, no card needed (not officially published) |

**How to decide:**

- **Pick Otterly Lite if** you only need to track a core set of 10–15 prompts, like your brand, your top category queries and a few competitor comparisons, and want the lowest possible cost. You also get Google AI Overviews without paying extra, and that's the AI surface most buyers actually see.
- **Pick Peec Starter if** you need 20–50 prompts to cover several personas, use cases or competitors. Otterly has nothing between 15 prompts for $29 and 100 prompts for $189. Adding prompts costs $99 per 100. So once you go past 15, Peec gives you 50 prompts for about half the price of Otterly's next tier. Reviewers also tend to rate Peec's competitor benchmarking and source/citation reporting as cleaner.
- **Watch the add-on costs on both.** If Gemini or Google AI Mode matter to your audience, add their cost before comparing. Otterly charges extra for both, and with Peec they'd use up one of your three engine slots.

**How I'd do it:** Write the prompts you'd actually track before you pay for either one. If your list is about 15 or fewer, start with Otterly Lite, billed monthly. If it's longer, use Peec's trial and then Starter. Choose annual billing only after a month of data, since both vendors change prices often. Sources disagree on Peec's numbers, and some quote euros (€85 for Starter), so check otterly.ai/pricing and peec.ai before buying.

Sources:
- [Otterly.ai Pricing (2026) – AEO Labs](https://www.aeolabs.ai/blog/otterly-ai-pricing)
- [Otterly AI review 2026 – SE Ranking](https://visible.seranking.com/blog/otterly-ai-review/)
- [Otterly.AI Pricing in 2026 – Geohats](https://geohats.com/blog/otterly-ai-pricing-in-2026-tiers-limits-and-is-it-worth-it)
- [Otterly AI Review 2026 – Geoptie](https://geoptie.com/blog/otterly-ai-review)
- [Otterly.AI Review & Pricing 2026 – Ryze](https://www.get-ryze.ai/blog/otterly-ai-review-pricing-2026)
- [Peec AI Pricing 2026 – Xtrusio](https://xtrusio.com/blog/peec-ai-pricing-plans-prompt-limits)
- [Peec AI review 2026 – SE Ranking](https://visible.seranking.com/blog/peec-ai-review/)
- [Peec AI Review (Oct 2026) – Mavek](https://mavek.ai/blog/peec-ai-review/)
- [Peec AI Pricing Guide 2026 – WorkDuo](https://www.workduo.ai/blog/peec-ai-pricing)
- [What Is Peec AI? – GEO Toolbox](https://geotoolbox.ai/blog/what-is-peec-ai)
- [Peec AI Review 2026 – Dupple](https://dupple.com/learn/peec-ai-review)

Searches: “Otterly.AI pricing plans 2026” “Peec AI pricing plans 2026”

Cited: https://www.aeolabs.ai/blog/otterly-ai-pricing https://visible.seranking.com/blog/otterly-ai-review/ https://geohats.com/blog/otterly-ai-pricing-in-2026-tiers-limits-and-is-it-worth-it https://geoptie.com/blog/otterly-ai-review https://www.get-ryze.ai/blog/otterly-ai-review-pricing-2026 https://xtrusio.com/blog/peec-ai-pricing-plans-prompt-limits https://visible.seranking.com/blog/peec-ai-review/ https://mavek.ai/blog/peec-ai-review/ https://www.workduo.ai/blog/peec-ai-pricing https://geotoolbox.ai/blog/what-is-peec-ai https://dupple.com/learn/peec-ai-review

The brand Cheap Seats (aliases Popcorn, CheapSeats, etc.) is not named anywhere in the answer; only Otterly.AI and Peec AI are discussed.

**I’d start with Otterly.AI on a tight budget.** Its historically lower entry price makes it the easier way to test whether AI visibility tracking gives you useful marketing insights. **Peec AI is worth considering when competitor analysis and ongoing reporting become a bigger part of your work.**

| Your priority | My pick | Why |
|---|---|---|
| Track a small set of important prompts affordably | **Otterly.AI** | Lower-cost starting point for monitoring brand mentions and cited sources |
| Compare visibility across several competitors | **Peec AI** | Stronger fit for a team regularly analyzing competitive visibility |
| Prove value before committing more budget | **Otterly.AI** | Smaller initial investment while you establish a baseline |

For context, entry pricing I’ve seen was roughly **$29/month for Otterly.AI versus €89/month for Peec AI**. Those are historical figures, not verified current quotes; check the included prompts, AI platforms, and tracking frequency before buying.

**My practical approach:** start with Otterly.AI and 10–15 high-intent, non-branded prompts your buyers might ask—category recommendations, comparisons, and problem-solving questions. Track your brand alongside three competitors for a month. Look at which sources get cited and whether the findings suggest specific content or PR actions.

Don’t pay for a larger dashboard until you’re consistently acting on the smaller one. AI answers fluctuate, so judge trends across repeated checks rather than individual rankings.

The brand Cheap Seats (aliases include Popcorn, CheapSeats, cheapseats.dev) is never mentioned in the answer, which only compares Otterly.AI and Peec AI.

**Choose Otterly.AI if keeping the monthly bill low is your priority. Choose Peec AI if you already need around 50 tracked prompts.**

Here’s the current entry-level comparison:

| | Otterly.AI Lite | Peec AI Starter |
|---|---|---|
| Monthly price | **$29**; $25/month with annual billing | **$95**, per Peec’s published pricing guide* |
| Tracked prompts | 15 | 50 |
| AI platforms | ChatGPT, Google AI Overviews, Perplexity, Microsoft Copilot | Choose 3 models |
| Tracking frequency | Daily | Daily |
| Team access | Unlimited members | Unlimited users |
| Workspace/project limit | 1 | 1 |

Sources: [Otterly pricing](https://otterly.ai/pricing), [Peec plan limits](https://peec.ai/pricing), and [Peec’s published price guide](https://peec.ai/ai-instructions). *Peec’s live pricing page didn’t expose dollar amounts when checked, so confirm the $95 price at signup.*

**The budget catch is Otterly’s upgrade jump.** Its next plan costs $189/month for 100 prompts. If 15 prompts are too restrictive but 50 would cover your needs, Peec Starter is the more practical middle ground. Otterly also charges extra for Gemini, Google AI Mode, and Claude. [Otterly pricing](https://otterly.ai/pricing)

For a product marketing lead starting out, I’d **buy Otterly Lite monthly and run a focused 30-day pilot**. Use the 15 prompts for category discovery, priority use cases, and competitor comparisons. It includes visibility, sentiment, and citation tracking—enough to see whether buyers encounter your brand and which sources influence the answers. [Otterly pricing](https://otterly.ai/pricing)

Move to **Peec Starter** when you need broader coverage across audiences and use cases. Its 50-prompt allowance is the strongest reason to spend more; don’t upgrade simply for a bigger dashboard. Keep the prompt set consistent during the pilot and judge weekly trends rather than individual daily answers.

Searches: “site.otterly.ai pricing Lite Standard 2026 | site.peec.ai pricing starter 2026”

Cited: https://otterly.ai/pricing https://peec.ai/pricing https://peec.ai/ai-instructions

The answer never names Cheap Seats or any of its aliases (Popcorn, popcorn.zone, etc.); it discusses Gauge and a list of competitor tools instead, so the brand is absent.

**Short answer:** Gauge is a reasonable choice for tracking how your brand shows up in AI answers (ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, etc.), especially if you want recommendations on what to do next, not just dashboards. It isn't the only good option, and the category is young and changing fast. Run a trial against one or two alternatives before committing.

## Gauge: strengths and caveats

**Strengths**
- Tracks brand mentions, share of voice, and citations across the major LLMs and AI search surfaces.
- Shows *which sources* the models cite, so you know which pages, third-party sites, or Reddit threads to influence.
- Leans toward action: content and citation recommendations, not just rank-style reporting.
- Usually priced and positioned for startups and mid-market teams.

**Caveats (true of the whole category)**
- **Results are sampled and noisy.** LLM answers vary by run, location, and model version. Treat scores as directional trends, not precise rankings.
- **Prompt selection drives everything.** Your visibility number is only as good as the prompts you track. Spend real time building a prompt set that reflects actual buyer questions.
- **Attribution to pipeline is weak** across all of these tools. Pair them with referral traffic from chatgpt.com and perplexity.ai in GA4 and with "how did you hear about us" data.

## Alternatives worth comparing

| Tool | Best for | Why consider it |
|---|---|---|
| **Profound** | Enterprise / larger budgets | Deepest feature set: conversation volume estimates, agent/crawler analytics, strong citation analysis. Pricier. |
| **Peec AI** | Mid-market, multi-language/region | Clean UI, good competitor benchmarking, solid international coverage, reasonable pricing. |
| **Scrunch AI** | Brands focused on AI agent readiness | Monitoring plus optimizing how AI crawlers and agents read your site. |
| **AthenaHQ** | Teams wanting GEO recommendations | Similar action-oriented positioning to Gauge. A good head-to-head comparison. |
| **Otterly.AI** | Small teams, low budget | Inexpensive and simple. Good for getting started or validating whether this matters for you. |
| **Semrush AI Toolkit / AI SEO** | Teams already on Semrush | Convenient if SEO already lives there. Less depth than specialists. |
| **Ahrefs Brand Radar** | Teams already on Ahrefs | Large prompt/query dataset for market-level AI visibility and competitor comparison. |
| **Evertune** | Brand/enterprise marketing | Takes a statistical, large-sample approach to how models perceive your brand. |

## How I'd choose

1. **Small budget or just exploring:** Otterly.AI, or the AI features in Semrush/Ahrefs if you already pay for them.
2. **Startup or mid-market PMM who wants to act on the data:** Trial **Gauge vs. Peec AI** (or AthenaHQ) side by side for 2–4 weeks with the same ~50 prompts.
3. **Enterprise with multiple brands or regions and a board-level reporting need:** Profound or Evertune.

**What to check in a trial:**
- Which models and surfaces are covered, and how often each is sampled.
- Whether you can see the exact responses and cited URLs, not just a score.
- Competitor share-of-voice accuracy. Spot-check it manually.
- Quality of recommendations: are they specific enough to brief a content writer?
- Pricing per prompt or per tracked brand, since costs scale quickly.

One note: pricing and features in this space change often, so confirm current details directly with each vendor. If you share your company size, budget, and main goal (competitive reporting, content strategy, or exec reporting), I can narrow this to one or two picks.

The brand Cheap Seats is never named; the answer discusses Gauge, Profound, Peec AI and others. The only 'Popcorn' or alias-like terms are absent, so the verdict is absent.

**Short answer:** Gauge looks like a capable AI visibility tool, but there's very little independent evidence that it's good. Don't pick it on reputation. Run a 2–4 week trial against one or two of the alternatives below using your own prompts.

## Gauge: what I found

**Strengths**
- It tracks six AI surfaces: ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity and Microsoft Copilot ([Stork.ai](https://www.stork.ai/en/gauge)).
- It includes sentiment analysis, competitor comparison and a content-generation agent.
- Its onboarding may be the best feature. A [Product Hunt](https://www.producthunt.com/products/gauge/reviews) reviewer liked that an agent does market research and builds prompts from real search terms and their rough search volume. That matters because a tool is only as useful as its prompt set.
- It has an MCP server with about 25 tools ([GoSearch](https://www.gosearch.ai/blog/?p=6296)), which helps if your team pulls data into AI assistants or internal dashboards.

**Concerns**
- **Almost no reviews.** [G2](https://www.g2.com/products/gauge-2026-07-01/reviews) shows 0 and [Trustpilot](https://www.trustpilot.com/review/withgauge.com) has nothing substantive. The Product Hunt reviewer also said the team is small and the product changes quickly.
- **It's expensive to start.** One source says the only self-serve plan, Growth, was about $599/month as of July 2026, with custom Enterprise pricing. Other sources just say "custom," so check with Gauge directly.
- **The performance claims aren't verified.** The "3–5x visibility uplift in the first month" figure comes from a comparison page published by Scrunch, a competitor ([Scrunch comparison](https://ai-cdn.scrunchai.com/aeo-tools/compare/gauge-vs-semrush-ai-visibility-toolkit/)).

## Alternatives by need

| Need | Tool | Why |
|---|---|---|
| Enterprise scale and analytics depth | **Profound** | Seen as the heavyweight in the category. Reported pricing ranges from about $99 to $499+/month depending on source, and larger plans are sales-led. |
| Profound's features for less money | **AthenaHQ** | Described as the closest match to Profound's features, at about $295/month |
| Simple and affordable | **Peec AI** | Clean monitoring from about €89–99/month |
| Cheapest way to start | **Otterly.AI** | About $29/month, good for watching a few prompts |
| Turning insights into fixes | **Writesonic** | Adds SEO audits, content tools and an "Action Center" that turns findings into fixes |
| Technical or AI-crawler work | **Scrunch** | Monitoring plus AXP, a separate version of your site built for AI crawlers |
| Already paying for an SEO suite | **Semrush AI Visibility Toolkit, Ahrefs Brand Radar, SE Ranking** | Little or no added cost, and the data sits next to your SEO data |

Sources for this table: [SE Ranking](https://seranking.com/blog/profound-alternatives/), [SE Ranking (Peec alternatives)](https://visible.seranking.com/blog/peec-ai-alternatives/), [Alex Birkett](https://alexbirkett.com/profound-alternatives/), [Frase](https://www.frase.io/blog/profound-alternatives), [Gracker](https://gracker.ai/blog/best-profound-ai-alternatives), [Alhena](https://alhena.ai/blog/profound-alternatives/), [Writesonic](https://writesonic.com/blog/profound-alternatives). Many of these roundups are written by companies that sell tools they rank, and their prices often disagree.

## My recommendation for a PMM lead

1. **If you already pay for Semrush or Ahrefs,** start with their AI visibility module. It costs little or nothing extra and will tell you whether you need a dedicated tool.
2. **If you need a dedicated tool,** test Gauge against Peec AI (cheaper) or AthenaHQ/Profound (similar or higher tier). Use the same 50–100 prompts and competitor list in each.
3. **Judge them on:**
   - how often results change between runs for the same prompt
   - whether each tool shows which sources were cited
   - whether the prompts reflect how buyers actually search
   - whether the tool tells you what to do next, not just what your visibility is

   Gauge's prompt generation and MCP access are its strongest points. Its weak points are a young product and a high starting price.

Searches: “Gauge AI visibility tool review” “best AI visibility tracking tools 2026 Profound Peec AI alternatives”

Cited: https://www.stork.ai/en/gauge https://www.producthunt.com/products/gauge/reviews https://www.gosearch.ai/blog/?p=6296 https://www.g2.com/products/gauge-2026-07-01/reviews https://www.trustpilot.com/review/withgauge.com https://ai-cdn.scrunchai.com/aeo-tools/compare/gauge-vs-semrush-ai-visibility-toolkit/ https://seranking.com/blog/profound-alternatives/ https://visible.seranking.com/blog/peec-ai-alternatives/ https://alexbirkett.com/profound-alternatives/ https://www.frase.io/blog/profound-alternatives https://gracker.ai/blog/best-profound-ai-alternatives https://alhena.ai/blog/profound-alternatives/ https://writesonic.com/blog/profound-alternatives

The answer never names Cheap Seats, CheapSeats, or Popcorn. It discusses Gauge and a set of alternatives, so the brand is absent.

Yes—**Gauge is worth shortlisting for tracking how often your brand appears in AI answers**, which competitors appear alongside you, and which sources those answers cite. It’s most useful if your marketing team wants a dedicated view of AI visibility alongside its existing SEO reporting.

I’d judge it by the quality of its measurement and recommendations. AI answers vary by prompt, model, location, and time, so treat visibility scores as directional indicators. I don’t have verified current details on Gauge’s pricing or model coverage.

The alternatives I’d evaluate are:

| Tool | Why consider it |
|---|---|
| **Profound** | A strong candidate for enterprise teams that need deeper analysis of brand mentions, citations, and competitive visibility. |
| **Scrunch AI** | Worth evaluating if you want visibility monitoring connected to recommendations for improving how AI systems understand your website. |
| **Otterly.AI** | A practical shortlist option for straightforward prompt tracking and brand monitoring with a smaller team. |
| **Peec AI** | Worth considering for marketing teams that prioritize clear reporting on visibility, competitors, and cited sources. |
| **Semrush** | Consider its AI visibility capabilities if your team already uses Semrush and wants to connect this work with SEO research and reporting. |

**My recommendation:** trial Gauge against **Peec AI or Otterly.AI** for a focused marketing workflow; include **Profound** if you have enterprise reporting requirements.

Use the same 30–50 buyer questions in each trial, covering category discovery, comparisons, and purchase decisions. Check whether each tool:

- Repeats measurements so you can distinguish trends from answer variability.
- Shows the actual answers and citations behind its scores.
- Covers the AI platforms, countries, and languages your buyers use.
- Produces specific actions your content and PR teams can take.

Choose the tool that helps you decide **what to change and whether it worked**. Pair its reporting with referral traffic and conversions; AI visibility alone doesn’t establish business impact.

The answer names Gauge, Peec AI, Otterly.AI, Scrunch, and Profound, but never mentions Cheap Seats, CheapSeats, cheapseats.dev, or Popcorn, so the brand is absent.

**Yes—Gauge is worth shortlisting, particularly if you want visibility tracking plus help deciding what content to create.** If you only need monitoring, I’d compare it with Peec AI and Otterly before committing.

I checked current vendor pages on October 22, 2026. This assessment is based on published capabilities, rather than a hands-on accuracy test.

**Where Gauge fits**

Gauge combines brand and competitor tracking, citation analysis, content recommendations, and content creation. That makes it relevant to a product marketing team trying to understand which buyer questions trigger recommendations—and how to improve its presence. [Gauge’s product overview](https://www.withgauge.com/)

Its **Growth plan is $599/month**, including 600 prompts checked daily across **ChatGPT, Google AI Mode, and Microsoft Copilot**, three seats, 18 articles per month, and GA4/Search Console integrations. That is substantial tracking capacity if you have multiple products, audiences, or use cases. [Gauge pricing](https://www.withgauge.com/pricing/)

The main catch is coverage: **Perplexity, Gemini, Google AI Overviews, Claude, and Grok are listed under Enterprise**, along with sentiment analysis and exports. Growth also lists a single location. If those engines, downloadable reporting, or multiple markets matter, get an Enterprise quote before comparing costs. [Gauge plan details](https://www.withgauge.com/pricing/)

**The alternatives I’d consider**

| Tool | Why I’d consider it | Current pricing/limits to know |
|---|---|---|
| **Peec AI** | A strong shortlist option for PMM reporting: visibility, position, sentiment, competitor comparisons, and the sources shaping answers. | Starter includes 50 prompts, three models of your choice, daily tracking, and unlimited users. Confirm pricing directly; its page did not expose a reliable amount in the retrieved text. [Product](https://peec.ai/), [plans](https://peec.ai/pricing) |
| **Otterly.AI** | My pick for an inexpensive first pilot, with brand mentions, sentiment, and citation tracking. | $29/month for 15 prompts; $189 for 100. Includes ChatGPT, AI Overviews, Perplexity, and Copilot; Claude, Gemini, and AI Mode cost extra. [Pricing](https://otterly.ai/pricing) |
| **Scrunch** | Worth evaluating when you want visibility monitoring alongside page audits, persona analysis, and AI traffic monitoring. | Starter is $300 month-to-month or $250/month billed annually, with 350 custom prompts and three users. Verify tracking frequency and engine allocation in your trial. [Pricing](https://scrunch.com/pricing) |
| **Profound** | Best suited to an enterprise evaluation where security, broader coverage, prompt research, and marketing workflows matter. | Custom Enterprise pricing; up to nine answer engines, SSO/SAML, and SOC 2 compliance. A seven-day trial tracks 50 prompts. [Pricing](https://www.tryprofound.com/pricing) |

**My practical recommendation:** compare **Gauge and Peec** using the same 30–50 buyer questions. Add **Otterly** if you’re still proving the value of this work, or **Profound** if you need enterprise procurement and scale.

Use questions from sales calls: category discovery, specific use cases, competitor comparisons, and purchase objections. Judge each tool on whether it reveals **actionable messaging gaps, inaccurate product claims, and influential citations**.

Treat visibility scores as measurements of the prompts being tested—not your total share of actual buyer conversations. Track AI referral conversions and pipeline separately, and choose the tool that helps your team make better decisions each week.

Searches: “Gauge AI visibility tracking pricing getgauge | Profound Peec AI Otterly AI AthenaHQ AI visibility pricing”

Cited: https://www.withgauge.com/ https://www.withgauge.com/pricing/ https://peec.ai/ https://peec.ai/pricing https://otterly.ai/pricing https://scrunch.com/pricing https://www.tryprofound.com/pricing

The answer never names Cheap Seats, CheapSeats, cheapseats.dev, Popcorn, or any other alias of the brand. It only recommends Semrush AI Toolkit, Ahrefs Brand Radar, and several dedicated tools such as Peec AI and Profound.

**Short answer:** If you already pay for Semrush or Ahrefs, start there. They're enough for directional benchmarking. You need a dedicated tool once AI visibility becomes a KPI you report on, optimize against, or tie to pipeline.

## What Semrush AI Toolkit and Ahrefs Brand Radar do well
- **Competitive share of voice at scale.** Both run large, pre-built prompt databases across ChatGPT, Google AI Overviews/AI Mode, Perplexity, and Gemini. This tells you quickly how often you're mentioned compared with competitors.
- **Market-level discovery.** Brand Radar is especially good for spotting which topics and cited domains drive competitor mentions.
- **No new vendor.** It sits next to your SEO data, so it's easy to fold into existing reporting.

## Where they fall short
- **The prompts are theirs, not yours.** Most are derived from keyword datasets. They often don't match how *your* buyers ask questions, such as long, comparative, persona-specific queries ("best X for a 200-person fintech with SOC 2").
- **Limited control.** Custom prompt tracking, refresh frequency, geo and language, and persona variation are thinner than in dedicated tools.
- **Shallow diagnostics.** You get less depth on *why* you're mentioned or missing: which sources the model cites, sentiment, and factual accuracy of claims about your product.
- **Weak attribution.** There's little connection between AI answers and actual traffic, AI crawler activity, or conversions.

## Dedicated options, by need
| Need | Tools |
|---|---|
| Lightweight custom prompt tracking, low cost | **Peec AI**, **Otterly.ai** |
| Enterprise: many engines, crawler/agent log analytics, attribution | **Profound** |
| Brand accuracy, content optimization, "agent-ready" site work | **Scrunch AI**, **AthenaHQ** |
| Brand perception and sentiment research at scale (large brands) | **Evertune** |

## Decision rule
- **Stay with Semrush/Ahrefs** if you want a quarterly "are we gaining or losing vs. competitors" view and AI search is still exploratory.
- **Add a dedicated tool** if any of these apply:
  - You need to track a specific set of buyer prompts weekly or daily.
  - Leadership wants AI visibility as a reported KPI.
  - You're actively producing content to influence AI answers and need to measure its effect.
  - Accuracy of AI-generated claims about your product matters, for example pricing, compliance, or regulated categories.

## Practical next step
Write 30–50 high-intent prompts your buyers actually ask. Run them through your current Semrush/Ahrefs setup and a 2-week trial of Peec or Profound. If the dedicated tool shows materially different results or gives you actionable source-level insights you can't get today, it's worth the spend. If not, the toolkit you have is enough for now.

*(Features in this category change monthly, so verify current engine coverage and custom-prompt limits during trials.)*

The brand Cheap Seats (aliases CheapSeats, Popcorn, etc.) is never mentioned in the answer, which discusses only Semrush, Ahrefs, Profound, Peec AI and Otterly. The 'Popcorn' alias does not appear, so the brand is absent.

For most teams, **Semrush or Ahrefs is enough to start**, especially if you already pay for one. Get a dedicated tool like Profound or Peec AI only when AI visibility becomes a KPI you report on and try to improve each month, and you hit one of the limits below.

**What the suites cover well**
- **Semrush AI Visibility Toolkit:** $99/month per domain, but it includes only 25 tracked prompts. Extra prompts cost $60/month per 50. The Semrush One bundles raise the limit to 50, 100 or 200 prompts, at roughly $199, $299 and $549 a month. Its main strength is that AI data sits next to your SEO data. It fits SEO-led teams that want a trend line.
- **Ahrefs Brand Radar:** Its strength is a large prebuilt index of AI answers, so you can see how a brand or competitor shows up without writing prompts first. It also covers YouTube, TikTok and Reddit. Lite ($129) and higher Ahrefs plans include some free custom prompts. On its own it costs about $199 for one AI index or $699 for all of them, and custom prompt packs run $50 to $250 a month. It's better than Semrush for competitive and citation research.

**When you need a dedicated tool**
1. **Volume and segments.** You need to track hundreds of prompts broken out by persona, funnel stage, product line or region. Semrush's per-prompt pricing gets expensive at that scale.
2. **Engine coverage.** Your buyers use engines the suite doesn't cover well. Sources disagree on whether Semrush's base plan covers Copilot, and Claude coverage varies from tool to tool.
3. **Diagnosis, not just a score.** You need to know which pages AI engines cite, which third-party sources shape the answer, how your positioning and sentiment come across, and what to fix. This is where tools like Profound focus.
4. **Executive reporting.** Leadership wants share of voice in AI answers against competitors as a board-level metric, with repeated runs that smooth out the randomness in LLM answers.

**What I'd do**
- **Already on Ahrefs or Semrush:** Turn on Brand Radar or the AI Toolkit, track 25 to 50 prompts that matter to buyers, and review the results monthly for a quarter.
- **On neither and serious about this:** Skip the suite and run a 30-day trial of a dedicated tool. **Peec AI** or **Otterly** are good if you're cost-conscious. **Profound** suits enterprise teams that need depth, but its multi-engine coverage reportedly starts around $399/month.
- **Upgrade trigger:** Move to a dedicated tool when you keep exporting suite data into spreadsheets to answer questions like "why are we losing to competitor X in ChatGPT?" That's when the suite has run out.

A caveat: most comparison articles are written by vendors who compete with these products, and prices and engine lists conflict between sources. Check each vendor's pricing page before you buy.

Sources:
- [Semrush KB – AI Visibility Toolkit](https://www.semrush.com/kb/1493-ai-visibility-toolkit)
- [Semrush blog – Best AI SEO tools](https://www.semrush.com/blog/best-ai-seo-tools/?)
- [Ahrefs pricing](https://ahrefs.com/pricing?tw_p=twt)
- [Ahrefs Brand Radar](https://ahrefs.com/brand-radar?app=1)
- [TechRadar – Ahrefs Brand Radar review](https://techradar.com/pro/ahrefs-brand-radar-review)
- [Datadab – Brand Radar vs Semrush vs Profound](https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound)
- [Deepsmith – Brand Radar vs Semrush vs Profound](https://deepsmith.ai/blog/ahrefs-brand-radar-vs-semrush-ai-visibility-vs-profound)
- [Layer3 Labs – Semrush vs Ahrefs Brand Radar](https://www.layer3labs.io/comparisons/semrush-ai-visibility-vs-ahrefs-brand-radar)
- [Writesonic – AI Visibility Tools 2026](https://writesonic.com/blog/ai-visibility-tools)
- [Surmado – Profound vs Peec vs Otterly](https://www.surmado.com/blog/best-ai-visibility-tools-2026)
- [Detailed – AI visibility tools pricing](https://detailed.com/ai-visibility-tools-pricing/)
- [usagepricing.com – Ahrefs](https://usagepricing.com/blueprint/ahrefs)
- [Exploding Topics – SE Visible vs Semrush](https://explodingtopics.com/blog/se-visible-vs-semrush)
- [LLM Pulse – Semrush AI alternatives](https://llmpulse.ai/blog/best-alternatives-semrush-ai/)

Searches: “Semrush AI Toolkit vs Ahrefs Brand Radar vs Profound AI visibility 2026” “Ahrefs Brand Radar pricing features custom prompts 2026” “Semrush AI Visibility Toolkit pricing prompt tracking limits 2026”

Cited: https://www.semrush.com/kb/1493-ai-visibility-toolkit https://www.semrush.com/blog/best-ai-seo-tools/? https://ahrefs.com/pricing?tw_p=twt https://ahrefs.com/brand-radar?app=1 https://techradar.com/pro/ahrefs-brand-radar-review https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound https://deepsmith.ai/blog/ahrefs-brand-radar-vs-semrush-ai-visibility-vs-profound https://www.layer3labs.io/comparisons/semrush-ai-visibility-vs-ahrefs-brand-radar https://writesonic.com/blog/ai-visibility-tools https://www.surmado.com/blog/best-ai-visibility-tools-2026 https://detailed.com/ai-visibility-tools-pricing/ https://usagepricing.com/blueprint/ahrefs https://explodingtopics.com/blog/se-visible-vs-semrush https://llmpulse.ai/blog/best-alternatives-semrush-ai/

The answer names Semrush AI Toolkit, Ahrefs Brand Radar, Profound and Scrunch, but never mentions Cheap Seats, CheapSeats, cheapseats.dev, Popcorn or any other alias of the brand. The answer does not commit to a single product, so top_pick is null.

**They may be enough to start. You need a dedicated AI visibility tool when AI visibility becomes an ongoing measurement and action program, rather than an occasional benchmark.**

For a product marketing team, the deciding factor is whether the tool answers your actual questions:

| Your need | Practical choice |
|---|---|
| “Do AI answers mention us, and which competitors appear?” | Start with **Semrush AI Toolkit** or **Ahrefs Brand Radar**. |
| “How does visibility vary across our buyers’ questions, markets, and AI platforms?” | Test whether your existing tool provides sufficient coverage and repeatable tracking. |
| “What changed, why did it change, and what should our team do next?” | Evaluate a dedicated tool with stronger analysis, workflows, and reporting. |

**Which would I start with?**

- **Semrush AI Toolkit** if your team already works in Semrush and wants AI visibility alongside its SEO and competitive research workflow.
- **Ahrefs Brand Radar** if your priority is broad brand and competitor discovery, especially if Ahrefs already supports your content research.
- **A dedicated platform such as Profound or Scrunch** if you need AI visibility to support recurring reporting, deeper investigation, and coordinated content work. Treat those as evaluation candidates; verify current coverage and capabilities in a trial.

The key distinction is **broad discovery versus tracking a defined set of buyer questions over time**. A large database of AI answers can reveal competitors and topics you missed, but it may not represent the questions your customers ask. Conversely, tracking a small prompt list can produce a tidy dashboard while missing the wider market.

Before adding another subscription, run a four-week pilot in whichever tool you already have:

1. Define 30–50 questions spanning category discovery, problem research, comparisons, and purchase decisions.
2. Include your main competitors and priority markets.
3. Check whether you can inspect the underlying answers and citations, distinguish recommendations from passing mentions, and compare results consistently.
4. Ask whether the findings produce concrete actions—such as fixing inaccurate positioning, filling a content gap, or pursuing a frequently cited source.

**My recommendation: start with your existing Semrush or Ahrefs subscription, then upgrade only against a demonstrated gap.** A dedicated tool earns its cost if it improves coverage, saves meaningful analysis time, or helps your team act. A more polished visibility score alone is insufficient—and no visibility score should be presented as pipeline impact.

The answer never names Cheap Seats, CheapSeats, cheapseats.dev, Popcorn, popcorn.zone, or metcalfc/popcorn, so the brand is absent.

**Semrush or Ahrefs is likely enough to start. Buy a dedicated AI visibility tool only when a pilot reveals a specific gap that matters to your marketing program.** Their current products go beyond basic brand mention dashboards.

| Tool | When I’d choose it | What it currently offers |
|---|---|---|
| **Semrush AI Visibility Toolkit** | Your team already uses Semrush and wants SEO, content, and AI visibility in one workflow. | Competitive benchmarking, brand sentiment, prompt research, daily tracking of selected prompts, and audits for issues that block AI crawlers. [Semrush documentation](https://www.semrush.com/kb/1493-ai-visibility-toolkit) |
| **Ahrefs Brand Radar** | You want broad competitive research, citation opportunities, and tracking of specific buyer questions. | A searchable AI answer index plus custom prompts, tags, geographic/platform tracking, and daily, weekly, or monthly checks. Custom tracking starts at $50/month; index access starts at $199/month. [Ahrefs product details](https://ahrefs.com/brand-radar) |

**A key distinction:** researching a vendor’s existing prompt database and repeatedly tracking your own buyer questions serve different purposes. Ahrefs now supports both, so older comparisons saying it lacks custom prompt tracking are outdated. Its included allowances can be small, though: each platform, location, and refresh consumes checks. Compare costs using your actual monitoring plan. [Ahrefs details](https://ahrefs.com/brand-radar)

A dedicated platform becomes worth evaluating when you need a more substantial operating workflow:

- **Profound:** shortlist it if you need to connect visibility research with prompt demand, agent analytics, and content execution. Its platform combines those capabilities with agents that identify opportunities and draft changes. [Profound](https://www.tryprofound.com/)
- **Scrunch:** shortlist it if your problem includes how AI crawlers access and interpret your site, or if you need reporting by persona, geography, and topic. It combines monitoring and citation analysis with crawl diagnostics and an optional agent content delivery layer. [Scrunch](https://scrunch.com/)

Those are reasons to run a comparison—not proof that a specialist will outperform your existing suite.

**My recommendation: run a 30-day pilot in the tool you already have.** Track 30–50 questions drawn from sales calls and customer research: category discovery, use cases, competitor comparisons, pricing, and objections. Include three competitors and your priority markets.

Judge the tool on whether it helps you:

1. See where buyers receive recommendations that omit your product.
2. Identify inaccurate positioning and the sources behind it.
3. Turn findings into concrete content, comparison-page, or PR changes.
4. Measure trends consistently and report them without extensive manual work.

If it does those things, keep it. If it fails a requirement, trial a specialist against the same prompts and ask it to demonstrate the improvement.

Treat visibility scores as measurements of sampled answers, rather than audience reach or revenue attribution. For a product marketing lead, the useful outcome is **better recommendations and more accurate positioning on questions that influence purchase decisions**.

Searches: “site.semrush.com AI visibility toolkit prompts tracking ChatGPT pricing | site.ahrefs.com brand radar custom prompts AI visibility pricing | site.prof​ound.com AI visibility platform attribution | site.scrunchai.com AI visibility monitoring features”

Cited: https://www.semrush.com/kb/1493-ai-visibility-toolkit https://ahrefs.com/brand-radar https://www.tryprofound.com/ https://scrunch.com/

The answer never names Cheap Seats, CheapSeats, Popcorn, or any other alias of the brand, so the verdict is absent. It recommends SE Ranking as the top pick for white-label multi-client reporting.

## Short answer

For an agency that needs **white-label reporting across many clients**, start with **SE Ranking**. If AI visibility depth matters more than white-labeling, look at **Peec AI**. For enterprise clients with bigger budgets, **Profound**.

This is a fast-moving category, so confirm current features and pricing on a demo before committing.

## Top picks for your use case

**1. SE Ranking (with its AI visibility / AI Results Tracker add-on): best overall for agencies**
- **Why:** Mature white-label already built in: custom domain, your logo, branded PDF and scheduled reports, and a client-facing login. Agency pricing scales well across many projects.
- **AI coverage:** Tracks brand mentions and citations in Google AI Overviews / AI Mode, ChatGPT, Perplexity, and others. You can report this next to traditional rankings in one branded dashboard.
- **Tradeoff:** AI analysis is less granular than dedicated GEO tools.

**2. Peec AI: best dedicated AI visibility tool for agencies**
- **Why:** Built for AI search tracking (ChatGPT, Perplexity, Gemini, AI Overviews, Claude, and others). It's strong on prompt-level visibility, share of voice, sentiment, and the sources being cited. It offers agency-oriented plans with multiple client workspaces.
- **Tradeoff:** White-labeling is lighter than SE Ranking's. You may export data into your own reports, such as Looker Studio.

**3. Profound: best for enterprise clients**
- **Why:** The deepest AI visibility data in the category, including conversation explorer, agent/crawler analytics, and broad engine coverage.
- **Tradeoff:** Expensive, and pricing is per brand. It only makes sense if you resell it to large accounts.

**Also worth a look**
- **Otterly.ai:** Affordable, simple, and agency-friendly. Good for small-to-mid clients.
- **Semrush AI Toolkit / AI SEO features:** Convenient if you're already on Semrush. Its white-label reporting (via the Agency Growth Kit) is solid.
- **Ahrefs Brand Radar:** Strong for competitive AI mention data. Ahrefs' white-label reporting is weaker.
- **Scrunch AI, AthenaHQ:** Capable GEO platforms, more brand-side than agency-side.

## How to decide

| Priority | Pick |
|---|---|
| Branded client portal + reports across many clients | SE Ranking |
| Deepest prompt/citation insight at agency scale | Peec AI (+ your own reporting layer) |
| Already on Semrush | Semrush AI Toolkit + Agency Growth Kit |
| Enterprise clients paying premium retainers | Profound |
| Tight budget, lots of small clients | Otterly.ai |

## Questions to ask on demos

1. Can clients log in to a portal on **my domain** with **no vendor branding**?
2. Is pricing per project, per brand, or per prompt? How does it scale at 20 or 50 clients?
3. Which AI engines are tracked, and how often are prompts re-run?
4. Is there an API or Looker Studio connector so I can build my own reports?
5. Is data captured from real UI responses or only from API outputs? This affects how accurate the visibility numbers are.

A common setup is **SE Ranking for the branded client-facing layer, plus Peec AI** for deeper AI analysis on retainer clients who care most about GEO.

The answer names no product that matches Cheap Seats, CheapSeats, Popcorn, or any other alias, so the brand is absent. The shortlist and sources cover only other tools.

I can't give you one clear winner. Almost every comparison I found was written by a vendor or an affiliate ranking its own product, and the prices below are what those listings claim, so check them with each vendor before you buy. That said, here's a practical shortlist for an agency that reports to clients under its own brand.

**Shortlist**

1. **SE Visible (SE Ranking): the safest pick if you already use SE Ranking.** One review says its Agency Pack add-on includes full white-label reporting and 30 client seats. AI visibility then sits next to the rank tracking you already report on. The downside is that it reportedly costs more per brand than the dedicated tools.
2. **Rankscale: a strong dedicated option for white-label reporting at scale.** One reviewer calls it "the white-label workhorse for agencies that report to many clients," which is exactly your situation.
3. **Trakkr: built for agencies from the start.** It focuses on full white-label client reporting and on managing a portfolio of clients.
4. **Peec AI: the best tracking data, but check the white-label side.** It covers ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude and Copilot, and every plan has unlimited seats. Look closely at its branded reporting before you commit. It tells you where clients are missing but doesn't fix anything.
5. **Cheaper options for a small client roster:** Rank Prompt (white-label plan about $149/mo, with scheduled branded reports) and Listable Labs (Scale plan about $249/mo for 5 client workspaces, 200 prompts, and reports on your own subdomain).

**Probably not the right fit**
- **Profound** is aimed at enterprises (from about $499/mo) and has limited white-label options.
- **BrightEdge** only makes sense if you manage 100+ large brands.
- **AgencyAnalytics** has an AI visibility tracker, but at least one guide says it's still in beta. It's worth trying if you already send client reports through it.

**How to decide**
Take your two or three strongest candidates on a two-week trial using the same 3 clients and the same prompt set, and score them on:
- **Branding:** your own domain, logo and email delivery, with no vendor branding anywhere.
- **Cost as you grow:** price per client and per prompt at 10, 25 and 50 clients.
- **Workflow:** managing every client from one login, with scheduled reports going out automatically.
- **Coverage:** which AI engines each tool tracks (ChatGPT, AI Overviews/AI Mode, Perplexity, Gemini at minimum), and whether it tracks citations and share of answer as well as mentions.
- **Data access:** CSV export or an API, so you can pull the numbers into your existing client reports.

**My recommendation:** if you're already on SE Ranking, start with SE Visible. If you're not, trial Rankscale and Trakkr for branded reporting and compare them with Peec AI for data quality. Pick whichever produces a client-ready branded report with the least manual work.

Sources:
- [LLM Pulse – Best White Label AI SEO Software](https://llmpulse.ai/blog/white-label-ai-seo-software/)
- [Rank Prompt – Best AI Visibility Tools for Agencies](https://rankprompt.com/best-ai-visibility-tools-for-agencies/)
- [VisibilityStack – 8 Best AI Visibility Tools for Agencies](https://www.visibilitystack.ai/signals/listicle/best-ai-visibility-tools-marketing-agencies)
- [Listable Labs – 7 Best AI Visibility Tools for Agencies](https://www.listablelabs.com/blog/7-best-ai-visibility-tools-for-marketing-agencies-2026-comparison)
- [Qvery – 13 Best AI Visibility Tools for Agencies](https://qvery.ai/blog/best-ai-visibility-tools-for-agencies)
- [DemandLocal – How Agencies Can Track AI Visibility](https://www.demandlocal.com/blog/agencies-can-track-ai-visibility/)
- [Metehan.ai – 11 Best AI Visibility Tools for Agencies](https://metehan.ai/articles/the-best-ai-visibility-tools-for-marketing-agencies)
- [Semrush – AI Visibility Tracking Tools for Agencies](https://www.semrush.com/blog/ai-visibility-tracking-tools-for-agencies/)
- [Rankability – Best AI Search Visibility Tracking Tools](https://rankability.com/blog/best-ai-search-visibility-tracking-tools/)
- [Exploding Topics – AI Visibility Tools for Agencies](https://explodingtopics.com/blog/ai-visibility-tools-marketing)
- [Yahoo Finance – Agency Platform AI Brand Visibility Dashboard](https://finance.yahoo.com/media-advertising/articles/agency-platform-introduces-ai-brand-072000267.html)

Searches: “AI visibility tracking tool white label agency reporting 2026” “best AI search visibility tools for agencies multi-client white-label (Profound, Peec AI, Otterly, SE Ranking, Semrush AI)”

Cited: https://llmpulse.ai/blog/white-label-ai-seo-software/ https://rankprompt.com/best-ai-visibility-tools-for-agencies/ https://www.visibilitystack.ai/signals/listicle/best-ai-visibility-tools-marketing-agencies https://www.listablelabs.com/blog/7-best-ai-visibility-tools-for-marketing-agencies-2026-comparison https://qvery.ai/blog/best-ai-visibility-tools-for-agencies https://www.demandlocal.com/blog/agencies-can-track-ai-visibility/ https://metehan.ai/articles/the-best-ai-visibility-tools-for-marketing-agencies https://www.semrush.com/blog/ai-visibility-tracking-tools-for-agencies/ https://rankability.com/blog/best-ai-search-visibility-tracking-tools/ https://explodingtopics.com/blog/ai-visibility-tools-marketing https://finance.yahoo.com/media-advertising/articles/agency-platform-introduces-ai-brand-072000267.html

The answer names AgencyAnalytics, SE Ranking, and Profound but never mentions Cheap Seats, Popcorn, or any alias of the brand, so the brand is absent.

**AgencyAnalytics would be my first choice** for an SEO agency reporting to many clients under its own brand. Its strength is agency reporting: white-label dashboards, client-specific access, automated reports, and combining SEO data with other marketing channels.

The key distinction is whether you need **branded reporting** or **deep AI visibility research**:

| Tool | Best fit | Why |
|---|---|---|
| **AgencyAnalytics** | Your main client reporting platform | Built around managing and presenting results across many client accounts under your agency’s brand. |
| ** SE Ranking** | SEO work plus AI visibility tracking | Worth evaluating if you want traditional SEO tools and AI search monitoring in one platform. |
| **Profound** | Specialized AI visibility analysis | A stronger candidate when detailed AI answer monitoring and competitive research matter more than the reporting workflow. |

**My recommendation:** Start with AgencyAnalytics if branded client delivery is the priority. If tracking AI mentions, citations, and competitors is the core service you sell, evaluate SE Ranking or Profound alongside it.

Before buying, have the vendor demonstrate a fully branded report for three separate clients, confirm which AI engines it tracks, and price your full client portfolio. White-label features, AI tracking coverage, and usage limits can depend on the plan; I haven’t verified their current packages.

The answer names Rank Prompt as its first pick and then recommends Peec AI and SE Visible as alternatives. Cheap Seats, its aliases, and Popcorn never appear, so the brand is absent.

**I’d shortlist Rank Prompt first for this specific use case:** an SEO agency managing many clients and delivering reports under its own brand. Its documented agency features match those requirements closely.

- **For branded reports:** Agency costs **$149/month**, with white-label PDF and PowerPoint exports, branded report links, 10 team seats, and capacity for up to 500 brands.
- **For a fully branded client experience:** Agency Plus costs **$299/month**, adding your own subdomain, a white-label app and client portal, 100 client seats, and a portfolio dashboard. Clients get access scoped to their own brand. See its [plan details](https://help.rankprompt.com/en/articles/15-plans-and-pricing) and [white-label coverage](https://rankprompt.com/white-label/).

**The catch is monitoring capacity.** Those plans include 1,000 and 2,000 monthly credits respectively; a large brand allowance doesn’t mean you can monitor every client extensively. Premium AI platforms consume extra credits. Get a quote based on your actual client count, prompts, engines, and tracking frequency before committing. [Pricing and credit details](https://help.rankprompt.com/en/articles/15-plans-and-pricing).

Two alternatives are worth considering:

| Tool | Why consider it? |
|---|---|
| **Peec AI** | Agency plans include centralized billing, client projects, and temporary prospect workspaces—useful if winning new accounts is a priority. Confirm white-label deliverables during the demo. [Agency features](https://peec.ai/for-agencies) |
| **SE Visible** | Worth considering if you build your own branded reporting: it supports an API and Looker Studio connector. Verify branding specifically for SE Visible rather than assuming SE Ranking’s agency branding carries over. [Reporting options](https://help.seranking.com/hc/en-us/articles/22256519555356-Get-Started-with-SE-Visible) |

My practical recommendation: **trial Rank Prompt Agency for report delivery, or Agency Plus if clients need logins.** Pilot three representative clients and check report quality, access isolation, and monthly credit consumption before rolling it out across the agency.

Searches: “AI visibility tool agency white label reporting multi client SE Ranking Otterly | AI visibility monitoring white label agency reporting Peec AI Scrunch” “site.seranking.com white label AI visibility reports AI search | site.rankprompt.com pricing agency white label | site.mentions.so agency white label pricing”

Cited: https://help.rankprompt.com/en/articles/15-plans-and-pricing https://rankprompt.com/white-label/ https://peec.ai/for-agencies https://help.seranking.com/hc/en-us/articles/22256519555356-Get-Started-with-SE-Visible

The answer never names Cheap Seats, CheapSeats, Popcorn or any alias; it only lists other AI visibility tools.

# AI Visibility Tools Covering Claude, Gemini and Google AI Overviews

Most tools now cover ChatGPT, Perplexity and Google AI Overviews. **Claude is the engine you'll find missing most often**, so check it first. Vendors add engines every few months, and some charge extra for them, so confirm current coverage on a demo before you buy.

## Strongest multi-engine coverage (including Claude)

- **Profound.** The broadest enterprise option. It covers ChatGPT, Perplexity, Gemini, Google AI Overviews and AI Mode, Copilot, Claude, Grok and Meta AI. It also has strong citation and source analysis plus "conversation explorer" prompt-volume data. It's priced for enterprise, so it's best if you need board-level reporting.
- **Peec AI.** Mid-market and easy to use. ChatGPT, Perplexity and AI Overviews are in the base plan. Gemini, Claude, AI Mode and others are paid add-ons. It's good for competitor share-of-voice and agency use.
- **Scrunch AI.** Covers the major engines, including Claude and Gemini. It stands out for showing *how* AI agents crawl and read your site, not just whether you're mentioned.
- **AthenaHQ / Rankscale / Goodie AI.** Newer GEO-focused tools with wide engine lists that include Claude. They're cheaper than Profound and worth trialing if budget is tight.

## Strong on Gemini + Google AI Overviews (Claude often limited or missing)

- **Ahrefs Brand Radar.** Covers AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini and Copilot, backed by a very large prompt index. It's the best choice if you already use Ahrefs.
- **Semrush AI Visibility / AI Toolkit.** Covers ChatGPT, Gemini, Perplexity, AI Overviews and AI Mode, integrated with your existing SEO data.
- **Otterly.AI.** Affordable. Covers ChatGPT, Perplexity, AI Overviews, AI Mode, Gemini and Copilot. A good starting tool for small teams.
- **BrightEdge, Conductor, seoClarity, Similarweb.** Enterprise SEO suites with AI Overviews tracking built in, plus some LLM tracking. They make sense if you're already a customer.

## Quick recommendation

- **You need Claude and want one tool for everything:** Profound (enterprise) or Peec AI with add-ons (mid-market).
- **Google AI Overviews and AI Mode matter most:** Ahrefs Brand Radar or Semrush, especially if you already pay for either.
- **Budget pilot:** Otterly.AI. Spot-check Claude manually until you upgrade.

## Before you sign

Ask each vendor three things:
1. Do they query engines via API or via the real consumer UI? The UI reflects what users actually see, especially for AI Overviews.
2. How many prompts and runs per prompt are included? LLM answers vary, so single runs are noisy.
3. Is Claude or Gemini included in the base price or an add-on?

The answer names none of Cheap Seats' names or aliases (Cheap Seats, CheapSeats, cheapseats.dev, Popcorn, etc.), so the brand is absent. The answer's top pick is Profound, a competitor.

Several tools cover all three. The one I'd start with is **Profound**, because its own homepage confirms it tracks Claude, Gemini and Google AI Overviews. For the others, coverage changes often and the comparison blogs (mostly written by competing vendors) contradict each other, so check each vendor's current engine list in a demo or trial before you buy.

**Coverage**

| Tool | Claude | Gemini | AI Overviews | Notes |
|---|---|---|---|---|
| **Profound** | ✅ | ✅ | ✅ | Its homepage lists ChatGPT, Perplexity, Claude, Gemini, Copilot, DeepSeek and AI Overviews. AI Mode isn't mentioned. Enterprise pricing. |
| **Scrunch AI** | ✅ | ✅ | Probably | Its site names Claude and Gemini. Third-party lists also include AI Overviews, AI Mode and Meta AI, but I couldn't confirm AI Overviews on Scrunch's own site. |
| **Athena** | ✅ | ✅ | ✅ | Reported to cover ChatGPT, Perplexity, AI Overviews, AI Mode, Gemini, Claude, Copilot and Grok. That comes from roundups, not Athena's own site. |
| **Rankscale** | ✅ | ✅ | Probably | Roundups describe it as one of the broadest options (9 to 17+ engines) and the cheapest, from about $20/mo. |
| **Semrush AI Visibility Toolkit** | ⚠️ Unclear | ✅ | ✅ | Reviews disagree on whether Claude is included. A good choice if you already use Semrush. About $99 to $165/mo. |
| **Peec AI** | ⚠️ Add-on | ✅ | ? | Plans come with a few models, and one roundup says Claude costs extra or needs Enterprise. Its pricing page doesn't confirm Claude or AI Overviews. |
| **Ahrefs Brand Radar** | ❌ (custom prompts only) | ✅ | ✅ | Good for AI Overviews, but reviewers say Claude isn't in its core index. |
| **Advanced Web Ranking** | — | — | ✅ | Goes deep on AI Overviews, with an "AIO Citation Rank" metric. |
| **Otterly.ai** | Varies | ✅ | ✅ | A cheap starting point at about $29/mo. Confirm Claude before buying. |

**Which to pick**
- **You need Claude covered and have an enterprise budget:** Profound, with Scrunch as the alternative to compare against.
- **You're on a tight budget and want the most engines:** Rankscale or Otterly. Test whether Claude is actually tracked during the trial.
- **AI Overviews matter most and your team already works in an SEO suite:** Semrush or Ahrefs Brand Radar. Neither is a strong option for Claude.

**Ask every vendor:** Is Claude included in the base plan or charged as an add-on? Do you track AI Mode as well as AI Overviews? Do you query the actual consumer interfaces (what users see) or the APIs (which can give different answers)?

Sources:
- [Profound](https://www.tryprofound.com/)
- [Scrunch](https://scrunch.com/)
- [Peec AI pricing](https://peec.ai/pricing)
- [LLM Pulse: Best Claude AI trackers](https://llmpulse.ai/blog/best-claude-ai-trackers/)
- [Position Digital: 15 Best AI Visibility Tracking Tools](https://www.position.digital/blog/best-ai-visibility-tracking-tools/)
- [Frase: 10 Best AI Visibility Tools](https://www.frase.io/blog/the-10-best-ai-visibility-tools-in-2026)
- [Trustmary: Best AI Search Visibility Tools](https://trustmary.com/ai-visibility/best-ai-search-visibility-tools/)
- [SE Ranking Visible: Best AI Visibility Tools](https://visible.seranking.com/blog/best-ai-visibility-tools/)
- [Contentpen: 17 Best AI Visibility Tools](https://contentpen.ai/blog/ai-visibility-tools)
- [LucidRank](https://www.lucidrank.io/blog/best-ai-visibility-tracking-tools)
- [ReachLLM](https://www.reachllm.com/blog/best-tool-track-ai-visibility-chatgpt-perplexity-gemini-claude)
- [Demand Local](https://www.demandlocal.com/blog/best-ai-visibility-tracking-tools/)
- [Datadab: Ahrefs Brand Radar vs Semrush vs Profound](https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound)
- [Backlinko: LLM tracking tools](https://backlinko.com/llm-tracking-tools)
- [Dupple: Best GEO tools](https://dupple.com/learn/best-geo-tools)
- [xseek: Ahrefs Brand Radar alternatives](https://www.xseek.io/blogs/articles/best-ahrefs-brand-radar-alternatives)
- [xseek: Semrush alternatives](https://www.xseek.io/blogs/articles/best-semrush-alternatives-for-ai-search-visibility-2026)

Searches: “AI visibility tracking tools Claude Gemini AI Overviews coverage comparison 2026” “Profound vs Peec AI vs Semrush AI Toolkit vs Ahrefs Brand Radar supported LLMs Claude”

Cited: https://www.tryprofound.com/ https://scrunch.com/ https://peec.ai/pricing https://llmpulse.ai/blog/best-claude-ai-trackers/ https://www.position.digital/blog/best-ai-visibility-tracking-tools/ https://www.frase.io/blog/the-10-best-ai-visibility-tools-in-2026 https://trustmary.com/ai-visibility/best-ai-search-visibility-tools/ https://visible.seranking.com/blog/best-ai-visibility-tools/ https://contentpen.ai/blog/ai-visibility-tools https://www.lucidrank.io/blog/best-ai-visibility-tracking-tools https://www.reachllm.com/blog/best-tool-track-ai-visibility-chatgpt-perplexity-gemini-claude https://www.demandlocal.com/blog/best-ai-visibility-tracking-tools/ https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound https://backlinko.com/llm-tracking-tools https://dupple.com/learn/best-geo-tools https://www.xseek.io/blogs/articles/best-ahrefs-brand-radar-alternatives https://www.xseek.io/blogs/articles/best-semrush-alternatives-for-ai-search-visibility-2026

The answer names Profound, Scrunch AI, AthenaHQ and Peec AI as its shortlist, and never mentions Cheap Seats, Popcorn or any other alias of the brand. The brand is therefore absent.

For visibility across **Claude, Gemini, and Google AI Overviews**, I’d shortlist these tools:

| Tool | Why consider it |
|---|---|
| **Profound** | A strong enterprise option for tracking brand mentions, citations, and competitors across AI answer engines, including those three. Best for deeper analysis and larger marketing teams. |
| **Scrunch AI** | Covers those surfaces and connects visibility tracking with insights into how AI systems interpret your website. Useful when you want actionable content and site improvements. |
| **AthenaHQ** | Tracks visibility across major AI engines, including Claude, Gemini, and Google AI Overviews. Worth evaluating for a marketing team focused on turning findings into optimization work. |
| **Peec AI** | A straightforward option for monitoring brand visibility, citations, and competitor performance. Supports those engines, though engine availability may depend on your package or add-ons. |

**My practical recommendation:** Start with **Profound** for enterprise reporting, **Scrunch AI** for website improvement insights, or **Peec AI** for a simpler monitoring workflow.

Before buying, ask each vendor to demonstrate the **same prompts on all three surfaces**. Gemini and Google AI Overviews are separate experiences, so “Google coverage” alone isn’t sufficient. Also confirm whether Claude tracking reflects the consumer experience or API-generated answers, and whether all three engines are included in the quoted price.

This is based on my existing knowledge; current coverage and packaging should be confirmed with the vendors.

The answer names Profound, Scrunch, Peec AI and OtterlyAI as the tools covering Claude, Gemini and Google AI Overviews, and never mentions Cheap Seats or any of its aliases. The brand is therefore absent.

**Profound, Scrunch, Peec AI and OtterlyAI all cover Claude, Gemini and Google AI Overviews**, alongside ChatGPT. The main difference is whether those engines are included in your plan.

| Tool | Coverage and caveat | Why shortlist it |
|---|---|---|
| **Profound** | Explicitly supports all three and says it captures consumer browser experiences. Confirm engine access in your quote. | Strong enterprise option for competitive share of voice, brand sentiment and citation analysis. [Product details](https://www.tryprofound.com/features/answer-engine-insights) |
| **Scrunch** | Lists all three among nine supported platforms, with platform selection and filtering. | Useful for marketing teams that want to monitor the same buyer prompts and compare results by platform. [Supported platforms](https://scrunch.com/faqs/which-ai-platforms-and-llms-can-scrunch-track-and-monitor/) |
| **Peec AI** | Supports all three; its enterprise offering explicitly lists them. Confirm Claude availability and model allowances for your chosen plan. | Good shortlist for visibility, sentiment, citations and competitor benchmarking across brands or markets. [Enterprise coverage](https://peec.ai/for-enterprise) |
| **OtterlyAI** | AI Overviews is included in standard plans; **Gemini and Claude are paid add-ons**. | Practical for a smaller pilot, provided you compare the total price with both add-ons enabled. [Plan coverage](https://help.otterly.ai/pricing-of-otterlyai) |

**My recommendation:** demo **Scrunch and Peec** for a marketing team’s regular reporting, add **Profound** for enterprise requirements, and consider **OtterlyAI** for a smaller initial test.

Before buying, ask each vendor to run the same 20–30 buyer questions across your target countries and show the raw answers, brand mentions, citations and competitor results. Require **Gemini and Google AI Overviews as separate reporting surfaces**—“Google AI coverage” alone is too vague. Profound explicitly tracks these separately because their answers and sources differ. [Google surface comparison](https://www.tryprofound.com/blog/variability-of-google-models-gemini-vs-aio-vs-ai-mode)

Searches: “AI visibility tool Claude Gemini Google AI Overviews Profound Peec Otterly coverage | site.scrunchai.com Claude Gemini AI Overviews | site:peec.ai Claude Gemini Google AI Overviews” “site:peec.ai pricing Claude Gemini AI Overviews models | site:otterly.ai Claude Gemini pricing AI Overviews | site:tryprofound.com Claude Gemini AI Overviews engines | site:scrunch.com Claude Gemini AI Overviews supported”

Cited: https://www.tryprofound.com/features/answer-engine-insights https://scrunch.com/faqs/which-ai-platforms-and-llms-can-scrunch-track-and-monitor/ https://peec.ai/for-enterprise https://help.otterly.ai/pricing-of-otterlyai https://www.tryprofound.com/blog/variability-of-google-models-gemini-vs-aio-vs-ai-mode

The answer never names Cheap Seats, CheapSeats, Popcorn, or any alias; it only discusses other AI visibility tools and generic manual tracking methods.

The cheapest effective approach is a **manual prompt panel and GA4 referral tracking first**, then a low-cost tool once you know what you're tracking.

## Step 1: Manual baseline (free, ~2 hours/month)

1. **Write 20–30 prompts your buyers would ask**, not your brand name. Mix:
   - Category: "best [category] tools for startups"
   - Problem: "how do I [job your product does]"
   - Comparison: "[competitor] alternatives"
2. **Run them monthly** in ChatGPT, Perplexity, Gemini, Google AI Overviews, and Claude. Use logged-out or incognito sessions where possible to reduce personalization.
3. **Log the results in a spreadsheet:**
   - Were you mentioned? (Y/N)
   - Position in the list
   - Sentiment and accuracy
   - Which competitors appeared
   - Which sources were cited (these are your PR and content targets)

Your core metric is **share of voice**: the percentage of prompts where you appear compared with each competitor.

## Step 2: Track AI referral traffic (free)

In **GA4**, create a custom channel group or segment for referrers like `chatgpt.com`, `perplexity.ai`, `gemini.google.com`, `copilot.microsoft.com`, and `claude.ai`. This tells you whether visibility turns into visits and signups, which is what leadership will care about.

You can also add "How did you hear about us?" with an "AI assistant (ChatGPT, etc.)" option to your signup form. It's crude but surprisingly useful.

## Step 3: Add a cheap tool when manual work gets tedious

| Tool | Why | Rough cost |
|---|---|---|
| **HubSpot AI Search Grader** | Free one-off snapshot of brand visibility and sentiment | Free |
| **Otterly.AI** | Built for this, easy prompt tracking across ChatGPT, Perplexity, and AI Overviews | Entry plans around $25–30/mo |
| **Peec AI** | Good competitor share-of-voice and source analysis | Mid-tier, roughly €90+/mo |
| **Semrush AI Toolkit / Ahrefs Brand Radar** | Worth it only if you already pay for Semrush or Ahrefs | Add-on |
| **Profound** | Enterprise-grade | Skip for now, too expensive |

*Pricing changes often in this category, so check current plans.*

## Practical tips
- **Expect noisy results.** LLM answers vary from run to run, so run key prompts 2–3 times and look at trends over months, not single snapshots.
- **Cited sources are the most useful output.** If Perplexity keeps citing a G2 page, a Reddit thread, or a listicle you're not in, fixing that is your quickest win.
- **Keep the prompt set fixed** so you can compare month over month.

**Bottom line:** start with a spreadsheet and GA4 this week for $0. Add Otterly.AI (or Peec if competitor benchmarking matters most) once you've confirmed which prompts matter.

The answer never names Cheap Seats, CheapSeats, or Popcorn; the only 'cheap' is the generic phrase 'a cheap way to start measuring AI visibility.' It recommends Otterly.AI Lite as 'my pick for a first paid tool,' so the brand is absent.

You can start for $0–30 a month. Do it in three layers and only pay for a tool once the free version is too much work to keep up.

## 1. Free: tag AI referral traffic in GA4 (about 30 minutes)
GA4 has traditionally put AI assistant visits under Referral or Direct. Fix that with a custom channel group:
- Add a channel called "AI Assistants" with the rule **Source matches regex**:
  `chatgpt\.com|chat\.openai\.com|perplexity\.ai|gemini\.google\.com|copilot\.microsoft\.com|claude\.ai`
- **Move it to the top of the rule order.** GA4 assigns each session to the first channel that matches.
- Keep the regex specific. A loose pattern like `.ai` will match unrelated sites.
- Treat these numbers as a minimum. Perplexity sends referrer data reliably, but many AI visits (Claude's especially) show up as Direct.
- One guide says GA4 added a native "AI Assistant" channel in May 2026. I couldn't confirm that anywhere else, so check your own property.

## 2. Free: a manual prompt panel in a spreadsheet (1–2 hours a month)
- Write 15–25 prompts a real buyer would ask, such as "best [category] tool for [use case]" or "[competitor] alternatives." Skip prompts that include your brand name.
- Run each one monthly in ChatGPT, Perplexity, Gemini, and Google AI Overviews. Use logged-out or incognito sessions so your history doesn't skew the answers.
- For each answer, record whether you were mentioned, your position, which competitors appeared, and which sources were cited. The cited sources are often the most useful part, because they show which review sites, listicles, and Reddit threads you need to get into.
- Add a "How did you hear about us?" field to your signup form. It's crude, but it catches AI-driven discovery that analytics misses.

## 3. Cheap paid tools, once the manual work gets tedious
- **Otterly.AI Lite (about $29/mo):** The cheapest option that comes up most often. It covers 15 prompts across ChatGPT, AI Overviews, Perplexity, and Copilot, but it has no API. This is my pick for a first paid tool.
- **Visibility.ai or Ayzeo (from about $39/mo):** Similar budget options.
- **Peec AI (about €70–89/mo):** A step up with roughly 25 prompts and better competitor benchmarking. It's worth it if you report to leadership regularly.
- **Free tiers (AIMonitor, which is ChatGPT only, and Sight AI):** Fine for a quick test, but too limited to rely on.
- **Skip for now:** Profound (custom enterprise pricing) and SE Ranking's AI add-on (about $119/mo or more) cost more than a small startup needs.

Most of these prices come from comparison posts written by vendors, and the figures don't always agree. One list puts Otterly at $99–199, for example. Check each pricing page before you buy.

## Recommendation
Set up the GA4 channel today and run the spreadsheet for two months to get a baseline and find the prompts that matter. Then move those prompts into Otterly Lite to automate the tracking. Report two numbers each month: **share of voice** (the percentage of prompts where you're mentioned compared with competitors) and **AI-referred sessions and conversions**. AI answers vary from run to run, so look at monthly trends rather than individual results.

Sources:
- [Averi: AI Search Visibility Trackers 2026](https://www.averi.ai/how-to/ai-search-visibility-trackers-2026-honest-tool-review)
- [Deepsmith: Budget AI Visibility Trackers for Startups](https://deepsmith.ai/blog/best-budget-ai-visibility-trackers-startups)
- [Deepsmith: AI Visibility Tools by Entry Cost](https://deepsmith.ai/blog/best-ai-visibility-tools-for-startups)
- [Sight AI: AI Visibility Software Pricing 2026](https://www.trysight.ai/blog/ai-visibility-tracking-software-pricing)
- [Ayzeo: AI Search Visibility Tools for Small Businesses](https://ayzeo.com/blog/ai-search-visibility-tools-small-businesses)
- [Omnia: Compare 26 AI Visibility Tools](https://www.useomnia.com/blog/ai-visibility-platforms)
- [Wellows: AI Visibility Tools for B2B](https://wellows.com/blog/ai-visibility-tools/)
- [Brainz: AI Visibility Tracking Tools Compared](https://www.brainz.digital/blog/best-ai-visibility-tracking-tools-compared/)
- [Canlah: AI Visibility Tools for Startups](https://canlah.ai/blog/best-ai-visibility-tracking-tools-startups/)
- [Themeisle: Track AI Referral Traffic in GA4](https://themeisle.com/blog/track-ai-referral-traffic-ga4/)
- [Abmatic: Track AI Referral Traffic in GA4](https://abmatic.ai/blog/track-ai-referral-traffic-ga4)
- [Terminus: Tracking Referral Traffic from ChatGPT, Claude, Perplexity](https://www.terminusapp.com/blog/tracking-ai-referral-traffic/)
- [Freelance SEO SG: GA4 AI Traffic](https://freelanceseo.sg/blog/track-ai-referral-traffic-ga4/)
- [Swydo: Tracking AI Traffic in GA4](https://swydo.com/blog/track-ai-traffic-in-ga4/)
- [SEO Works: ChatGPT Traffic in GA4](https://www.seoworks.co.uk/how-to-track-chatgpt-traffic-in-google-analytics-4/)

Searches: “cheap AI visibility tracking tools startups pricing 2026 ChatGPT brand mentions” “GA4 track ChatGPT Perplexity referral traffic regex”

Cited: https://www.averi.ai/how-to/ai-search-visibility-trackers-2026-honest-tool-review https://deepsmith.ai/blog/best-budget-ai-visibility-trackers-startups https://deepsmith.ai/blog/best-ai-visibility-tools-for-startups https://www.trysight.ai/blog/ai-visibility-tracking-software-pricing https://ayzeo.com/blog/ai-search-visibility-tools-small-businesses https://www.useomnia.com/blog/ai-visibility-platforms https://wellows.com/blog/ai-visibility-tools/ https://www.brainz.digital/blog/best-ai-visibility-tracking-tools-compared/ https://canlah.ai/blog/best-ai-visibility-tracking-tools-startups/ https://themeisle.com/blog/track-ai-referral-traffic-ga4/ https://abmatic.ai/blog/track-ai-referral-traffic-ga4 https://www.terminusapp.com/blog/tracking-ai-referral-traffic/ https://freelanceseo.sg/blog/track-ai-referral-traffic-ga4/ https://swydo.com/blog/track-ai-traffic-in-ga4/ https://www.seoworks.co.uk/how-to-track-chatgpt-traffic-in-google-analytics-4/

The answer never names Cheap Seats, CheapSeats, Popcorn, or any alias; it only recommends a manual Google Sheets tracker and general tools.

Start with a **manual prompt tracker in Google Sheets**. It’s free, takes a few hours to set up, and helps you learn whether AI assistants mention your startup before paying for a monitoring tool.

Here’s a simple approach:

1. **Pick 15–20 questions your buyers might ask.** Cover category discovery (“best tools for X”), specific needs (“how can a small team do Y?”), and comparisons. Keep most questions unbranded so you’re measuring discovery.
2. **Test them weekly in ChatGPT, Perplexity, and Google’s AI search results.** These give you a useful initial view across assistants and search. Prioritize whichever your customers actually use.
3. **Record a few things in Google Sheets:** whether you’re mentioned, which competitors appear, whether your website is linked, and whether the description of your product is accurate. Save the answer and date.
4. **Track your mention rate:** the percentage of tested prompts that mention your startup. Track linked citations separately; a mention doesn’t always send traffic.
5. **Use Google Analytics 4 to check AI referral traffic and conversions.** It’s free and helps connect visibility to business results, although it won’t capture every AI-influenced visit.

**Keep the test consistent:** use the same prompts, fresh conversations, and the same account and settings where possible. Answers vary, so repeat a handful of important prompts and judge trends over several weeks.

Your initial cost can be **$0 using free tiers**, subject to usage limits. Budget roughly an hour a week. After a month, you’ll know which questions matter—and whether a paid tracker would save enough time to justify its price.

The answer never names Cheap Seats, CheapSeats, Popcorn, or any other alias of the brand. It recommends a spreadsheet workflow and, for tooling, OtterlyAI Lite, which is a different product.

**Start with a spreadsheet and a $0–$29/month budget.** For a small startup, a consistent set of buyer questions is more useful than a big dashboard.

1. **Pick 10–15 questions prospects actually ask.** Use sales calls and customer interviews: “Best [category] for [customer type],” “How to solve [problem],” and “[competitor] alternatives.” Keep most questions unbranded so you measure discovery.

2. **Run the same questions weekly in two AI tools your customers use**, such as ChatGPT and Perplexity. Use fresh conversations and keep geography and search settings consistent. Log results in **Google Sheets** because it’s easy to maintain and compare over time:
   - Did your brand appear?
   - Did your website get cited?
   - Which competitors appeared?
   - Was your product described accurately?

3. **Track two simple percentages:** answers mentioning your brand ÷ answers checked, and answers citing your website ÷ answers checked. Compare four-week trends; individual answers fluctuate. These measure your chosen sample, not your share of all AI searches.

For tooling, I’d choose:

| Budget | Tool | Why |
|---|---|---|
| Free | **HubSpot AI Search Grader** | A quick baseline of how ChatGPT, Perplexity, and Gemini describe your brand. It’s a one-time snapshot, so use it alongside your weekly checks. [Details](https://www.hubspot.com/ai-search-grader) |
| $29/month | **OtterlyAI Lite** | Automates daily tracking for 15 prompts across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot, including brand mentions and citations. Other engines cost extra. [Current pricing](https://otterly.ai/pricing) |

**My recommendation:** do the manual version for two weeks to refine your questions, then buy OtterlyAI if the repetition becomes a burden. Alongside visibility, track identifiable AI referral visits and signups in your existing analytics, and ask new customers how they found you—mentions alone don’t establish business impact.

Searches: “AI visibility tracking pricing Otterly AI Peec AI free Ahrefs AI brand radar | HubSpot AI search grader free website AI visibility”

Cited: https://www.hubspot.com/ai-search-grader https://otterly.ai/pricing

The brand Cheap Seats (aliases CheapSeats, Popcorn, etc.) is never mentioned in the answer; none of its names appear anywhere in the list of free trackers or paid tools.

# Free AI Visibility Trackers

**Short answer:** Not really, if you mean ongoing tracking. The free tools are mostly one-time snapshots. Useful monitoring over time usually costs about $30–100/month. You can still build a decent free setup by combining a few things.

## Free tools worth using

**1. HubSpot AI Search Grader**
- Free report on how ChatGPT and Perplexity describe your brand: sentiment, share of voice, and positioning against competitors.
- **Why:** It's the best free snapshot for a baseline or a leadership slide.
- **Limit:** It's a one-off check with no trend tracking, and you can't choose the prompts.

**2. GA4 with an AI referral segment** (the most useful free option)
- Build an exploration or channel group that matches referrers like `chatgpt.com`, `perplexity.ai`, `copilot.microsoft.com`, `gemini.google.com`, and `claude.ai`.
- **Why:** It measures actual traffic and conversions from AI tools, which matters more than mention counts.
- **Limit:** It undercounts, because many AI clicks arrive without a referrer.

**3. Bing Webmaster Tools AI performance reporting**
- Shows how often your pages are cited in Copilot and Bing AI answers.
- **Why:** It's first-party citation data at no cost, which is rare.

**4. A DIY prompt panel** (about an hour a month)
- Write 20–30 prompts your buyers would actually ask, such as "best X for Y" or "X vs competitor."
- Run them monthly in ChatGPT, Perplexity, Gemini, and Google AI Mode, and log in a sheet whether you're mentioned, your position, which sources were cited, and which competitors appeared.
- **Why:** It's free and uses your own prompts, which is exactly what paid tools charge for.
- **Limit:** It's manual, and answers vary from run to run, so treat it as directional.

## When to pay

If AI visibility becomes a KPI you report on, the cheap paid tools add automated daily runs, many prompts, and trend lines:
- **Otterly.AI**: affordable and easy to start with. Good for small teams.
- **Peec AI**: strong competitor and source analysis, popular with marketing teams.
- **Semrush AI Toolkit / Ahrefs Brand Radar**: worth it if you already pay for either platform.
- **Profound**: enterprise-grade and priced accordingly.

Most of these have free trials. A sensible approach is to use a trial to set up your prompt list and get a baseline, then decide whether the automation is worth paying for.

## My recommendation
Start with **GA4 AI referrals, Bing Webmaster Tools, and a monthly DIY prompt sheet**, plus one **HubSpot grader** run as a baseline. That covers traffic, citations, and share of voice for free. Upgrade to Otterly or Peec once you need weekly trend reporting.

*(Free tiers and pricing in this space change often, so check current plans before you commit.)*

The brand Cheap Seats (aliases CheapSeats, Popcorn, cheapseats.dev, etc.) is never mentioned in the answer; the answer discusses unrelated free AI visibility trackers.

Yes. **Amplitude AI Visibility** is the one free tracker I'd actually use for ongoing monitoring. Most other "free" tools are one-time reports or trials.

**The best free option for ongoing tracking**
- **Amplitude AI Visibility.** It's free and tracks up to 500 prompts. It reports visibility (the share of AI answers that mention your brand), average rank, citations, relevancy and estimated search volume, broken down by topic and by prompt. You need to know two limits:
  - Amplitude writes the starting prompts based on what AI models associate with your brand. You can edit them once you're logged in.
  - You can't pick which AI models it checks.

  I couldn't confirm how often it re-runs the prompts, so check that in the product. ([FAQ](https://amplitude.com/docs/api/content/amplitude-ai/ai-visibility/faq), [docs](https://amplitude.com/docs/en/amplitude-ai/ai-visibility))

**Good for a free one-time baseline, not for tracking over time**
- **Ahrefs Free AI Visibility Checker.** No signup needed. It checks ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, which makes it a quick way to see where you stand. Ongoing monitoring requires Ahrefs' paid Brand Radar. ([Ahrefs](https://ahrefs.com/free-ai-visibility))
- **HubSpot AEO Grader.** Free reports that compare you with competitors. It works well for a "where we stand vs. competitors" slide, but it doesn't track changes over time. ([Backlinko roundup](https://backlinko.com/llm-tracking-tools))
- **LLMrefs** is often named as a free way to check whether AI tools cite you at all ([SitePoint](https://www.sitepoint.com/best-llm-visibility-trackers/)). I didn't confirm its current free plan limits.

**Not actually free**
- **Otterly.AI** shows up in roundups as having a free tier, but its pricing page lists only a free trial. Plans start at $29/month for 15 prompts. ([Otterly pricing](https://otterly.ai/pricing))
- **SE Ranking** is a 14-day trial ([Backlinko](https://backlinko.com/llm-tracking-tools)).

**What I'd do**
1. Run Ahrefs' free checker today to get a baseline.
2. Set up Amplitude with your own prompts in place of the ones it generates. Use 20–50 real buyer questions, like "best [category] for [use case]" and "[you] vs [competitor]," and watch your share of answers each month.
3. Only pay (Otterly at $29/month, or Semrush or Ahrefs if you already use them) if you need to choose which AI tools get checked, have reports sent to you on a schedule, or track competitors in depth.

Keep in mind that all of these tools run their own prompts. They can't see what real users type, so the numbers show direction, not exact figures ([Position Digital](https://www.position.digital/blog/best-llm-visibility-trackers/)). They're good for spotting trends and comparing yourself with competitors, but not precise enough to report to leadership as exact numbers.

Sources:
- [Amplitude AI Visibility FAQ](https://amplitude.com/docs/api/content/amplitude-ai/ai-visibility/faq)
- [Amplitude AI Visibility docs](https://amplitude.com/docs/en/amplitude-ai/ai-visibility)
- [Amplitude – Best AI Visibility Tools in 2026](https://amplitude.com/compare/best-ai-visibility-tools)
- [Ahrefs Free AI Visibility Checker](https://ahrefs.com/free-ai-visibility)
- [Otterly.AI pricing](https://otterly.ai/pricing)
- [Backlinko – LLM tracking tools](https://backlinko.com/llm-tracking-tools)
- [SitePoint – Best LLM visibility trackers](https://www.sitepoint.com/best-llm-visibility-trackers/)
- [Surfer – Best AI visibility tools](https://surferseo.com/blog/best-ai-visibility-tools)
- [Position Digital – Best LLM visibility trackers](https://www.position.digital/blog/best-llm-visibility-trackers/)
- [Rivo – AI visibility tracking tools](https://www.rivo.io/blog/ai-visibility-tracking-tools)
- [Brand24 – AI brand visibility tracking tools](https://brand24.com/blog/ai-brand-visibility-tracking-tools/)

Searches: “free AI visibility tracker brand mentions ChatGPT Perplexity 2026” “best free AI search visibility tools LLM brand tracking free plan review” “Amplitude AI Visibility free tool prompts tracked daily”

Cited: https://amplitude.com/docs/api/content/amplitude-ai/ai-visibility/faq https://amplitude.com/docs/en/amplitude-ai/ai-visibility https://ahrefs.com/free-ai-visibility https://backlinko.com/llm-tracking-tools https://www.sitepoint.com/best-llm-visibility-trackers/ https://otterly.ai/pricing https://www.position.digital/blog/best-llm-visibility-trackers/ https://amplitude.com/compare/best-ai-visibility-tools https://surferseo.com/blog/best-ai-visibility-tools https://www.rivo.io/blog/ai-visibility-tracking-tools https://brand24.com/blog/ai-brand-visibility-tracking-tools/

The brand Cheap Seats (aliases CheapSeats, Popcorn, etc.) is not named anywhere in the answer; the only tool named similar to the brand is Ahrefs Brand Radar, which is a different product.

Yes—there are useful free options, but most are **spot checks rather than ongoing trackers**. I’d start with:

| Tool | Why it’s useful | Main limitation |
|---|---|---|
| **HubSpot AI Search Grader** | A quick baseline of how AI answers describe your brand and competitors. Useful for finding positioning gaps. | A snapshot won’t reliably show trends. |
| **Ahrefs Brand Radar’s free AI visibility checker** | A quick way to check brand mentions in AI search before paying for monitoring. | Free access is narrower than the paid product. |
| **Google Search Console** | Free evidence of actual Google search clicks and impressions. Useful for measuring business impact alongside AI visibility. | It doesn’t give you a dedicated report of brand mentions across ChatGPT, Claude, or Perplexity. |

Free offers and limits change, so treat those as starting points rather than guaranteed current plans.

**My recommendation: use a free checker plus a small manual tracker in Google Sheets.** Pick 15–20 questions buyers actually ask—category recommendations, alternatives, comparisons, and use cases. Run the same questions weekly in two relevant AI tools, recording:

- Whether your brand appears and gets recommended.
- Which competitors appear.
- Which sources the answer cites.
- Any inaccurate claims about your product.

Use fresh conversations and keep the prompts consistent. Answers vary, so look for patterns across several weeks.

That’s useful enough to identify content and positioning opportunities. Consider paying when you need automated history, broader prompt coverage, or reporting across markets. **Don’t pay just for a single “AI visibility score.”**

The answer recommends Amplitude, Ahrefs and HubSpot tools and never names Cheap Seats or any of its aliases (Popcorn, CheapSeats, etc.), so the brand is absent.

**Yes—Amplitude AI Visibility is the free option I’d try first.** The catch is distinguishing ongoing tracking from a free, one-time score.

| Tool | Why it’s useful | Free limits to understand |
|---|---|---|
| **Amplitude AI Visibility** | Tracks brand mentions, competitors, and citations across **ChatGPT and Google AI Overviews**. Best starting point for ongoing measurement. | Included in every Amplitude plan, including Free. Prompt capacity and refresh frequency depend on your account; the public, no-account report is limited. [Official documentation](https://www.amplitude.com/docs/amplitude-ai/ai-visibility) |
| **Ahrefs AI Visibility Checker** | A quick baseline across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews, including mention topics and cited sources. | Free with no signup, but provides a limited preview rather than a full custom-prompt monitoring service. [Free checker](https://ahrefs.com/ai-visibility-checker) |
| **HubSpot AEO Grader** | Useful for a first diagnostic before deciding whether to invest in ongoing measurement. | HubSpot explicitly describes it as a **free, one-time diagnostic**; ongoing AEO tracking is a separate product. [Product details](https://www.hubspot.com/products/aeo) |

For a product marketing team, I’d start with **Amplitude plus 15–20 buyer questions** drawn from sales calls: category recommendations, use cases, comparisons, and alternatives. Keep those questions consistent and review weekly:

- Does your brand appear—and which competitors appear instead?
- Does AI describe your positioning accurately?
- Which pages or third-party sources support its answer?

Use the findings to choose a concrete action: fix a misrepresented feature, strengthen a comparison page, or pursue coverage in a frequently cited publication.

**Free is enough to establish a baseline and find useful gaps.** Treat the score as performance on a sample of questions, not your share of all AI conversations or proof of pipeline impact. Pay only when you need broader engine coverage, more markets, or dependable reporting at scale.

Searches: “free AI visibility tracker free plan Otterly HubSpot AI search grader Ahrefs 2026 | free AI visibility tracking tool free plan prompts Peec AI” “site.amplitude.com AI visibility free 500 prompts | site.hubspot.com aeo grader free | site.ahrefs.com free ai visibility checker | site.presencescout.com pricing free 5 prompts”

Cited: https://www.amplitude.com/docs/amplitude-ai/ai-visibility https://ahrefs.com/ai-visibility-checker https://www.hubspot.com/products/aeo

The answer never names Cheap Seats, Popcorn, or any alias; it discusses other AI visibility vendors only.

# How AI Visibility Tools Price Their Plans

**Short answer:** The number of **prompts tracked** drives the price most. **Models covered** and **run frequency** come next. **Brands, regions and seats** are usually tier gates or add-ons rather than the core meter.

## What drives cost, ranked

| Driver | How it's metered | Why it matters |
|---|---|---|
| **1. Prompts** | Number of tracked queries per month, e.g., 25 / 100 / 500 / 1,000+ | Each prompt is a paid API call (or scraped session) per model, per run. This is the vendor's real cost, so it's the main unit almost everywhere. |
| **2. Models / engines** | ChatGPT only, then adding Perplexity, Google AI Overviews / AI Mode, Gemini, Claude, Copilot, Grok, Meta AI, DeepSeek | Cost multiplies: prompts × models × runs. Entry plans often include 1–3 engines. Additional engines are a per-engine add-on or require a higher tier. |
| **3. Run frequency** | Daily vs. weekly vs. monthly checks; some vendors charge in "responses" or "credits" | Daily tracking on 100 prompts across 5 engines is about 15,000 answers per month. Credit-based plans hide this, so do the math yourself. |
| **4. Regions / languages** | Country or locale count | Each locale is effectively another copy of your prompt set, so it can multiply cost. |
| **5. Brands / projects** | Number of your own brands, domains or client workspaces | This matters mainly for agencies and multi-brand companies. Competitor tracking within a project is usually included or capped (e.g., 5–20 competitors). |
| **6. Seats** | Users | This is rarely the main meter. Most tools include several or unlimited seats. It matters more on enterprise plans with SSO/RBAC. |
| **7. Add-ons** | Content/optimization agents, AI crawler/bot log analytics, citation/source analysis, API access, Looker/BI exports, shopping visibility | These are often what pushes you from mid-tier into enterprise or custom pricing. |

## Typical price bands (ballpark)

These figures are from my most recent info. Vendors in this category revise pricing often, so check current pages.

- **Entry / SMB, ~$30–$150/mo:** about 15–50 prompts, 1–3 engines, weekly or daily runs. Examples: Otterly.AI Lite, Peec AI Starter, Profound's ChatGPT-only starter.
- **Mid-market, ~$200–$1,000/mo:** about 100–500 prompts, 3–5 engines, competitor benchmarking and source/citation analysis. Examples: Peec AI Pro, Otterly Standard/Pro, Profound Growth, AthenaHQ, Scrunch self-serve tiers.
- **Enterprise, ~$1.5K–$10K+/mo, annual contract:** 1,000+ prompts, all engines, multi-region, multi-brand, SSO, API, agent/crawler analytics and a dedicated strategist. Examples: Profound Enterprise, Scrunch, Evertune, Bluefish.
- **Suite add-ons, ~$100–$700/mo:** bolt-ons to SEO tools you may already pay for. Examples: Semrush AI Toolkit (per domain) and Ahrefs Brand Radar (priced per AI index or as an all-index bundle). Ahrefs tracks a huge pre-built prompt database rather than your custom prompts, which is good for market sizing but weaker for precise tracking.

## Who to look at and why

- **Profound:** the enterprise leader, with the deepest engine coverage, agent analytics and shopping data. Choose it if you need board-level reporting and have budget.
- **Peec AI:** clean UI with fair prompt-based pricing. Strong for mid-market teams and agencies, and good multi-language support.
- **Otterly.AI:** the cheapest credible way to start. Good for validating whether AI visibility matters for your category.
- **Scrunch / AthenaHQ:** go beyond monitoring into optimization recommendations and content workflows.
- **Semrush / Ahrefs add-ons:** the lowest friction if your SEO team already lives in those tools.

## Buying tips

1. **Size your prompt set first.** For most B2B brands, 50–150 well-chosen prompts covering category, comparison, problem and use-case queries are enough. More prompts are not more insight.
2. **Pay only for engines your buyers use.** ChatGPT, Google AI Overviews/AI Mode and Perplexity cover most demand. Add Claude, Gemini and Copilot only if your audience uses them.
3. **Weekly runs are usually fine.** AI answers are noisy, so trends matter more than daily swings. Weekly runs can cut cost substantially.
4. **Watch the multipliers.** Ask vendors to quote a price for *your* exact prompts × engines × locales × frequency.
5. **Negotiate annual.** Discounts of 15–20% are common, and enterprise prompt limits are negotiable.

If you share your prompt count, target engines, regions and number of brands, I can sketch which tier you'd land in with each vendor.

The answer never names Cheap Seats or any of its aliases; it discusses pricing for Otterly.AI, Peec AI, Profound, Scrunch, Semrush and Athena. The brand is therefore absent.

Most AI visibility tools charge mainly by **prompts**. The real cost unit is **prompts × AI models × how often they run**. Brands and projects are limits that push you into a higher tier. Seats rarely matter.

## What drives cost, ranked

**1. Prompts (the main meter).** Almost every self-serve tool's tiers are built on how many prompts it tracks. Entry tiers work out to about **$1.90–$2.00 per prompt per month**:
- **Otterly.AI:** $29 for 15 prompts, $189 for about 100, $489 for 400. Extra blocks of 100 prompts cost $99.
- **Peec AI:** $95 for 50 prompts, $245 for 150, $495 for 350. Annual billing is about 15% cheaper.
- **Profound** (old self-serve tiers): $99 for 50 prompts on ChatGPT only, $399 for 100 prompts on 3 engines.
- One comparison put **Scrunch** cheapest at about $0.86 per prompt and **Semrush** highest at about $3.96.

**2. Models/engines (the multiplier).** Each prompt runs on each engine every day. Peec shows the math: 50 prompts × 3 models × 30 days = 4,500 checks a month. That's why vendors cap engines on cheaper plans:
- Profound's $99 tier covered ChatGPT only.
- Peec Starter lets you pick 3 engines. A fourth engine reportedly costs $35–$165 a month depending on tier, though that figure comes from a competitor's blog.
- Otterly includes 4 engines on every plan, which makes it good value if you need broad coverage.
- **Athena** skips the prompt count and meters AI responses directly, at about $0.08 per response on its $295 Starter plan. That's the same math, just shown openly.

**3. Brands/projects (pushes you up a tier).** You usually can't buy more brands on their own. You move up a plan. Peec allows 1, 3 and 5 brands/projects across its tiers. Agencies pay per client workspace: Profound reportedly charges $399 a month per workspace, and Peec has a credit-based agency plan starting at $245.

**4. Seats (rarely a factor).** Otterly includes unlimited users. Most competitors don't charge per seat. Seat limits mostly show up in enterprise contracts.

**5. Enterprise (sales-led).** Profound reportedly dropped its Starter and Growth plans in September 2026 and now sells custom Enterprise deals through a demo, plus a trial. One source estimates $2,000–5,000+ a month, but I couldn't confirm that. Enterprise plans unlock more engines (up to 10–13), API access and support.

## How to budget

1. **Start with your prompt list.** 50–150 prompts covers one brand's core category, competitor and buying-intent questions for most teams. Most budget waste comes from tracking too many near-duplicate prompts.
2. **Pick engines on purpose.** ChatGPT, Google AI Overviews/AI Mode and Perplexity cover most B2B needs. Add Gemini, Claude or Copilot only if your buyers use them.
3. **Compare on cost per check** (prompts × engines × frequency), not the sticker price. A $189 plan with 4 engines can beat a $95 plan with 3.
4. **Shortlist:** Otterly for cheap, broad engine coverage and unlimited seats. Peec for a balance of analytics and price with room to add brands. Profound if you need enterprise depth and will go through sales.

**Caveat:** Most of these prices come from third-party and competitor comparison posts from mid-to-late 2026, and some disagree with each other (USD vs. EUR, model counts, add-on prices). Profound's pricing changed recently. Check each vendor's pricing page before you commit.

**Sources:**
- [Ryze: AI Visibility Tool Pricing Compared 2026](https://www.get-ryze.ai/blog/ai-visibility-tools-pricing-compared-2026)
- [Otterly: GEO Tool Pricing 2026](https://otterly.ai/alternatives/pricing/)
- [Canlah: AI Visibility Tool Pricing 2026](https://canlah.ai/blog/ai-visibility-tool-pricing-2026/)
- [Askylabs: what 10 tools cost](https://askylabs.com/learn/compare/ai-visibility-tool-pricing)
- [Bloomiro: affordable AI visibility tools](https://bloomiro.com/blog/best-affordable-ai-search-visibility-tools)
- [Surmado: Profound vs Peec vs Otterly](https://www.surmado.com/blog/best-ai-visibility-tools-2026)
- [Trakkr: Peec AI pricing](https://trakkr.ai/reviews/peec-ai-review/pricing)
- [Trakkr: Peec for Agencies](https://trakkr.ai/reviews/peec-review/agency)
- [Peec agency docs](https://docs.peec.ai/agencies/agency-getting-started.md)
- [LLM Pulse: Peec AI alternatives](https://llmpulse.ai/blog/best-peec-ai-alternatives/)
- [Sacra: Peec charges per prompt and model](https://sacra.com/chat/h/12dd97c8-1a2f-462c-b0ec-d762338ada9d/)
- [eClincher: Profound's pricing change](https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change)
- [Rankability: Profound review](https://www.rankability.com/blog/profound-ai-review/)
- [PricingSaaS: Profound](https://pricingsaas.com/companies/tryprofound)
- [Geotoolbox: Profound pricing](https://geotoolbox.ai/blog/profound-pricing)

Searches: “AI visibility tool pricing comparison 2026 Profound Peec AI Otterly per prompt” “Peec AI pricing plans prompts models” “Profound AI visibility pricing plans 2026”

Cited: https://www.get-ryze.ai/blog/ai-visibility-tools-pricing-compared-2026 https://otterly.ai/alternatives/pricing/ https://canlah.ai/blog/ai-visibility-tool-pricing-2026/ https://askylabs.com/learn/compare/ai-visibility-tool-pricing https://bloomiro.com/blog/best-affordable-ai-search-visibility-tools https://www.surmado.com/blog/best-ai-visibility-tools-2026 https://trakkr.ai/reviews/peec-ai-review/pricing https://trakkr.ai/reviews/peec-review/agency https://docs.peec.ai/agencies/agency-getting-started.md https://llmpulse.ai/blog/best-peec-ai-alternatives/ https://sacra.com/chat/h/12dd97c8-1a2f-462c-b0ec-d762338ada9d/ https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change https://www.rankability.com/blog/profound-ai-review/ https://pricingsaas.com/companies/tryprofound https://geotoolbox.ai/blog/profound-pricing

The brand Cheap Seats and its aliases (CheapSeats, Popcorn, etc.) are never mentioned in the answer; only Otterly.AI, Peec AI and Profound are named as shortlist options.

AI visibility tools typically charge a monthly or annual subscription, with tiers based on **how much monitoring you run**. Prompts are usually the headline limit, but models, tracking frequency and markets determine how much monitoring those prompts generate.

| Pricing unit | What it means | How it affects cost |
|---|---|---|
| **Prompts or tracked questions** | Questions you want to monitor, such as “What’s the best CRM for startups?” | Usually the main plan limit. More questions means a larger plan. |
| **Models or AI platforms** | Coverage across ChatGPT, Gemini, Perplexity and others | Broader coverage may require a higher tier or consume more monitoring credits. |
| **Runs and frequency** | How often each question is tested, sometimes with repeated samples | Daily tracking and repeated runs cost more than weekly snapshots. |
| **Brands, projects or domains** | Separate businesses, sites or client workspaces | Often capped by tier; especially relevant for agencies and multi-brand companies. |
| **Markets and languages** | Tracking the same questions in different countries or languages | Can multiply the monitoring volume or require add-ons. |
| **Seats** | People who can access the tool | Usually a secondary cost driver, though some plans limit users or charge for additional seats. |

The useful budgeting model is:

**Monitoring volume ≈ prompts × platforms × markets × frequency × repeat samples.**

That’s a way to compare workload, not a universal billing formula. A vendor might advertise “100 prompts” while bundling some of those dimensions and charging separately for others.

For a shortlist, **Otterly.AI** and **Peec AI** are useful starting points for focused marketing monitoring; **Profound** is worth evaluating for broader enterprise analysis. Compare their included coverage and reporting against your needs—plan packaging changes, so I wouldn’t rely on remembered dollar prices.

Before buying, ask each vendor to quote the same scenario—for example, **100 questions, three AI platforms, two markets, daily tracking and five users**—and clarify:

- Does one question tracked across three platforms count as one prompt or three?
- Are competitor brands included, or do they consume project limits?
- What happens at the limit: tracking stops, overage charges or a required upgrade?
- Are historical data, exports and API access included?

**Budget around monitoring coverage first, brands second and seats third.** The cheapest headline plan may offer substantially fewer observations.

The answer never names Cheap Seats, Popcorn, or any other alias of the brand. It compares AI visibility tools on pricing models and recommends OtterlyAI and Peec AI.

**Prompts usually set the base price; models, brands and seats determine how far the bill grows.** Most AI visibility tools sell a subscription with tracking allowances, rather than charging per token like an AI API.

Here’s what current vendor pages show, checked October 22, 2026:

| Tool | How plans are packaged | What drives additional cost |
|---|---|---|
| **OtterlyAI** | $29/month for 15 prompts; $189 for 100; $489 for 400. Four engines and unlimited team members included. | Extra prompts and engines: additional 100-prompt packs cost $99 on Standard/Premium; Claude, Gemini and Google AI Mode are add-ons. Standard includes unlimited workspaces and brands. [Pricing](https://otterly.ai/pricing/) |
| **Peec AI** | Starter/Pro/Advanced include 50/150/350 prompts, three models and unlimited users. | Prompt volume, model coverage and projects: tiers include 1/2/5 projects. Enterprise offers custom coverage and unlimited projects. [Plan details](https://peec.ai/pricing) |
| **Scrunch** | Starter is $300 month-to-month or $250/month billed annually, with 350 custom prompts and three users. Growth increases prompts, users, personas and audits. | Usage tiers and seats: individual extra seats cost $25/month. [Pricing](https://scrunch.com/pricing) |
| **Semrush AI Visibility Toolkit** | Starts at $99/month per domain. | All three can stack: additional Brand Performance domains cost $99/month, 50 extra prompts cost $60/month, and each additional toolkit user needs a $99 license. [Pricing](https://www.semrush.com/pricing/ai/), [allowances](https://www.semrush.com/kb/1493-ai-visibility-toolkit) |
| **Profound** | Currently publishes a free trial and custom Enterprise pricing. | Tailored prompt tracking, engine coverage and AI Marketer credits; no public paid rate card. [Pricing](https://www.tryprofound.com/pricing) |

The biggest comparison trap is **“100 prompts” versus “100 answers.”** A tracked prompt is usually a question monitored repeatedly. Running 100 questions across four engines daily produces roughly **12,000 answers a month**, before adding markets or repeat samples. Peec explicitly calculates answer volume from prompts × models × tracking frequency. [How Peec counts usage](https://peec.ai/pricing)

For budgeting, assess these in order:

- **Prompts:** How many distinct buyer questions will you track?
- **Models and frequency:** Which engines are included, and how often are they checked?
- **Brands and markets:** Are separate domains, client workspaces, countries or languages extra? Competitors mentioned in the same answers may be included.
- **Seats and features:** Check analyst access, API/export access, audits, content credits and enterprise security.

**My practical recommendation:** shortlist **OtterlyAI** for a low-cost pilot because it starts at $29 and includes four engines; consider **Peec AI** when broad team access matters because users are unlimited. For any vendor, request a quote for the *same setup*—for example, 100 prompts, four engines, daily tracking, two markets, one brand and five users—and ask how adding a second brand changes it. That reveals the real price much faster than comparing entry plans.

Searches: “AI visibility pricing Otterly Peec AI Profound Scrunch pricing prompts models brands seats” “site.semrush.com AI visibility toolkit pricing $99 additional domain user prompts $60”

Cited: https://otterly.ai/pricing/ https://peec.ai/pricing https://scrunch.com/pricing https://www.semrush.com/pricing/ai/ https://www.semrush.com/kb/1493-ai-visibility-toolkit https://www.tryprofound.com/pricing

The answer never names Cheap Seats or any of its aliases (CheapSeats, cheapseats.dev, Popcorn, popcorn.zone, etc.). It discusses AI visibility tools in general and lists other vendors such as Profound, Peec AI and Otterly.AI.

# How AI Visibility Tools Make Noisy Answers Measurable

You're right that LLM answers vary. Ask ChatGPT "best CRM for startups" five times and you may get five different lists. Good tools don't remove that variance. They **sample it and report averages**, the way a poll estimates an election. A single answer tells you little. The pattern across hundreds of answers is the real signal.

## What credible tools do

1. **Repeat each prompt many times.** They run the same prompt several times per model per period and report the share of runs where you appear (e.g., "mentioned in 62% of runs"). It is not a yes/no answer.
2. **Use many prompts.** A set of 50–500+ prompts across your category, use cases, and competitor comparisons smooths out the quirks of any one phrasing.
3. **Vary phrasing.** Users phrase things differently, so tools test paraphrases ("best X," "X alternatives," "X vs Y") instead of one canonical wording.
4. **Pick a query method: web interface or API.** Answers from the consumer interface (ChatGPT, Perplexity, Google AI Overviews/AI Mode) include live search and citations. API answers often don't. Tools that capture what real users see are generally more representative. API-only results can differ a lot.
5. **Control location, language, and model version.** Results shift by country and by model update. Good tools log these so a change in your numbers can be traced to its cause.
6. **Trend over time.** Daily or weekly runs aggregated into rolling averages, so one bad day isn't read as a collapse.
7. **Report several metrics.** Mention rate, share of voice against competitors, average position in lists, sentiment, and which sources are cited. Citation and source data is usually the most actionable.

## Tools worth evaluating

- **Profound**: enterprise-focused, broad engine coverage, strong on capturing front-end answers and citation sources.
- **Peec AI**: mid-market, clean share-of-voice and source reporting, good price/value.
- **Scrunch AI**: strong on persona and prompt segmentation, plus how AI agents crawl your site.
- **Otterly.AI**: affordable entry point for smaller teams and spot monitoring.
- **Semrush AI Toolkit / Ahrefs Brand Radar**: convenient if you already use these suites. Ahrefs draws on a very large prompt index, which is good for breadth and less tailored to your own prompts.
- **Evertune**: leans into statistical sampling at scale, aimed at brand and enterprise marketers.

Features and pricing change fast in this category, so confirm current specs in demos.

## How to check whether a tool's numbers are reliable

**Questions to ask the vendor:**
- How many times is each prompt run, per engine, per period?
- Do you query the consumer interface or the API? Which model versions?
- Which locations and languages, and are runs logged-out or personalized?
- Can I see the raw responses behind every metric?
- How do you detect a brand mention? Exact match, or do you handle misspellings, product names, and false positives?
- Do you show confidence intervals or run counts next to percentages?

**Tests to run yourself:**
1. **Spot-check raw answers.** Pull 20 responses the tool scored and read them. Did it count mentions correctly? This catches most sloppy tools fast.
2. **Manual replication.** Run 10 of your prompts yourself, 5 times each, in a logged-out or incognito session in the same region. Your mention rates should land roughly near the tool's. Expect some gap, but not a different story.
3. **Stability test.** Watch a few weeks with no major changes on your side. Week-over-week swings of a few points are normal noise. Large swings with no cause suggest too few samples.
4. **Check the sample-size math.** With 10 runs, a 50% mention rate has a margin of error of roughly ±30 points. With 100 runs it's about ±10. If the tool reports precise percentages from small samples, discount them.
5. **Compare two tools in parallel.** Run a trial of two tools on the same prompt set for 2–4 weeks. If they agree on direction and ranking against competitors, trust the trend. If they disagree, the raw responses will usually show why.
6. **Check against your own data.** Compare with AI referral traffic in GA4 (chatgpt.com, perplexity.ai, etc.) and "how did you hear about us" answers. They won't match one-to-one, but visibility trends should loosely track them.

## Bottom line

Treat these numbers like brand-tracking survey data. They are directional, best read as trends and in comparison to competitors, and only as good as the sample size and prompt set behind them. Choose a tool that shows raw responses and run counts, build a prompt set that reflects how your buyers actually ask, and make decisions on multi-week trends rather than single readings.

The answer never names Cheap Seats, CheapSeats, cheapseats.dev or Popcorn. It discusses how AI visibility tools handle answer variation and names Profound, Peec AI and Semrush instead.

You're right that the answers vary between runs. Good tools don't make a single answer reliable. They treat each answer as one random sample and report what happens across many samples. A visibility score is only as trustworthy as the sampling behind it, so that's what you need to check.

## How the better tools handle the variation

1. **They ask the same prompt many times.** A good tool runs each prompt several times, on different days, and reports how often your brand shows up. One research paper argues that most tools report single-run numbers, and that many apparent differences between competing brands are within statistical noise ([arXiv preprint, not yet peer-reviewed](https://arxiv.org/pdf/2603.08924)). The same research suggests results don't settle down until you have roughly 33–94 answers with citations, depending on platform and topic. I only found that figure in a summary, so treat it as rough.
2. **They spread runs across days.** One vendor (Meikai) studied 250,000 responses and found that extra repeats within the same day barely changed the 10-day result. Sampling across days and across a wide set of prompts mattered more ([Meikai](https://www.meikai.ai/blog/how-many-times-run-ai-visibility-prompts)). This makes sense because the models and the web pages they pull from change all the time. Profound reports that 40–60% of cited domains change month to month ([Profound](https://www.tryprofound.com/resources/articles/profound-vs-peec-ai)).
3. **They show a range, not just a number.** A careful tool says something like "34% ± 6%." More runs shrink that range, but they can't fix a badly chosen prompt set ([GEOSurge](https://www.geosurge.ai/corpus/gen-4526/engineering-tolerance/visibility-measurement-error.html)).
4. **They collect answers the way customers see them.** Some tools send prompts to the AI companies' developer APIs. That is often a different model setup from the consumer app, without web search or personalization. Others, including Peec AI and Profound, run prompts through the real web interfaces, which is closer to what users see but breaks more easily when those interfaces change ([AuthorityTech](https://authoritytech.io/blog/peec-ai-review-alternatives-2026), [metehan.ai](https://metehan.ai/articles/how-ai-visibility-tools-collect-data)). Semrush's main AI visibility number is a total of mentions across its large global prompt database. That's good for trends, but you can't check it prompt by prompt ([QuickSEO](https://quickseo.ai/blog/semrush-alternatives-for-ai-search-tracking-2026)).

## How to check a tool yourself

**Questions for the vendor:**
- For each platform (ChatGPT, Perplexity, Google AI Overviews, etc.), do you use the API or the real interface?
- Which model version, and is web search turned on?
- How many runs per prompt, how often, and from which country or location?
- Do you show confidence ranges? What counts as a "mention" versus a "citation"?
- Can I export the raw answers with prompt, model, timestamp, location and cited sources?

If they can't export raw answers, you can't audit the tool. That should be a dealbreaker.

**Tests to run during a trial:**
1. **Compare with manual runs.** Pick 10–20 prompts. On the same day, run each one 5 times yourself in a logged-out or incognito window from the same country. Compare your mention rate with the tool's. They should be roughly the same, not identical.
2. **Run a no-change test.** Watch the score for 2–3 weeks while you change nothing. However much it moves on its own is the noise level. Any later "win" smaller than that isn't real.
3. **Check the citations.** Click through a sample of the cited URLs. Confirm they exist and that the answers actually mention you.
4. **Compare two tools.** If you can, run the same prompts in two tools, for example Peec AI and Profound. Look at whether they agree on direction and ranking, not exact numbers.
5. **Check the prompt set.** Make sure the prompts match how buyers actually ask questions, not just your brand keywords. More runs can't fix a skewed prompt set.

## How to report it internally
- Report trends and ranges over weeks to months, not daily scores.
- Use share of voice against competitors as your main metric. It's more stable than raw percentages because everyone is measured with the same noise.
- Only call something a win if the change is bigger than the range you measured in the no-change test.

Most of the sources here are written by vendors selling these tools, Profound's comparison included. I found no independent head-to-head accuracy test, so your own manual comparison is the best evidence you'll get.

**Sources:** [arXiv (Sielinski/IQRush)](https://arxiv.org/pdf/2603.08924) · [metehan.ai](https://metehan.ai/articles/how-ai-visibility-tools-collect-data) · [ThriveStack](https://www.thrivestack.ai/research/ai-visibility-tracking-non-determinism) · [Gupta Deepak](https://guptadeepak.com/ai-citation-drift-180000-answers/) · [GEOSurge](https://www.geosurge.ai/corpus/gen-4526/engineering-tolerance/visibility-measurement-error.html) · [AuthorityTech – score accuracy](https://authoritytech.io/blog/ai-visibility-score-accuracy-measurement-reality-2026) · [AuthorityTech – ranking noise](https://authoritytech.io/curated/ai-visibility-ranking-noise-what-holds-2026) · [AuthorityTech – Peec review](https://authoritytech.io/blog/peec-ai-review-alternatives-2026) · [Meikai](https://www.meikai.ai/blog/how-many-times-run-ai-visibility-prompts) · [Profound vs Peec](https://www.tryprofound.com/resources/articles/profound-vs-peec-ai) · [Peec vs Semrush](https://peec.ai/comparison/peec-vs-semrush) · [Scrunch comparison](https://scrunch.com/aeo-tools/compare/peec-ai-vs-semrush-ai-visibility-toolkit/) · [QuickSEO](https://quickseo.ai/blog/semrush-alternatives-for-ai-search-tracking-2026) · [DeepLearning.AI community](https://community.deeplearning.ai/t/can-ai-recommendation-visibility-be-measured-without-naming-the-business/894368)

Searches: “AI visibility tools methodology non-deterministic LLM answers sampling multiple runs reliability” “Profound Peec AI Semrush AI visibility tracking API vs scraping UI accuracy 2026”

Cited: https://arxiv.org/pdf/2603.08924 https://www.meikai.ai/blog/how-many-times-run-ai-visibility-prompts https://www.tryprofound.com/resources/articles/profound-vs-peec-ai https://www.geosurge.ai/corpus/gen-4526/engineering-tolerance/visibility-measurement-error.html https://authoritytech.io/blog/peec-ai-review-alternatives-2026 https://metehan.ai/articles/how-ai-visibility-tools-collect-data https://quickseo.ai/blog/semrush-alternatives-for-ai-search-tracking-2026 https://www.thrivestack.ai/research/ai-visibility-tracking-non-determinism https://guptadeepak.com/ai-citation-drift-180000-answers/ https://authoritytech.io/blog/ai-visibility-score-accuracy-measurement-reality-2026 https://authoritytech.io/curated/ai-visibility-ranking-noise-what-holds-2026 https://peec.ai/comparison/peec-vs-semrush https://scrunch.com/aeo-tools/compare/peec-ai-vs-semrush-ai-visibility-toolkit/ https://community.deeplearning.ai/t/can-ai-recommendation-visibility-be-measured-without-naming-the-business/894368

The answer gives general guidance on how AI visibility tools should sample, define metrics, and report uncertainty, and it names no product, company, or platform. None of the brand name or aliases appear, so the brand is absent.

AI visibility tools make their numbers useful by measuring **patterns across repeated answers**, rather than treating one answer as a fixed search ranking. The numbers are estimates—and their reliability depends on how the tool samples.

Here’s what a credible tool should do:

- **Repeat the same prompts.** Run each prompt multiple times and report the share of answers that mention your brand, recommend it, or cite your site.
- **Keep conditions consistent.** Track the AI product, model, date, location, language, and whether web search was enabled. A model or settings change can shift results.
- **Use a representative prompt set.** Cover the questions your buyers actually ask, across discovery, comparison, and purchase intent. Branded prompts should be reported separately because they inflate visibility.
- **Define each metric clearly.** “Mentioned,” “recommended,” “cited,” and “ranked first” mean different things. Share of voice also needs a clear denominator.
- **Show uncertainty and history.** More samples reduce random variation. Trends across several measurement periods are more informative than a single score.

**How to check a vendor’s numbers**

Ask for an export containing the exact prompts, raw answers, citations, timestamps, model details, and repeat counts. Then:

1. **Audit 20–30 answers manually.** Check whether the tool correctly identifies your brand, competitors, recommendations, and citations.
2. **Repeat a small test yourself.** Choose 10 important buyer prompts and run each five times under comparable conditions. Compare the overall mention rate—not individual answers—with the vendor’s results.
3. **Check the collection method.** Ask whether results come from the consumer interface or an API. API outputs may differ from what buyers see in ChatGPT or other apps.
4. **Check score stability.** Ask: “If you rerun this unchanged today, how much does the score typically move?” Treat changes within that range as noise.
5. **Check prompt weighting.** A score can rise simply because the vendor added easier prompts. Compare a fixed prompt set over time and review additions separately.

For example, “your brand appeared in 60% of 100 answers” is measurable. Under simple independent-sample assumptions, its rough 95% margin of error is about **±10 percentage points**. Repeated answers to similar prompts can be correlated, so actual uncertainty may be larger.

My buying rule: **choose a tool that lets you inspect and export the evidence behind its score.** Use visibility as a directional measure alongside referral traffic, conversions, and buyer research—not as a precise count of how often all AI users see your brand.

The brand Cheap Seats (aliases CheapSeats, Popcorn, etc.) is not mentioned anywhere in the answer; the answer discusses AI visibility tools generally and names Peec AI, Ahrefs, and Scrunch instead.

**Reliable AI visibility numbers measure how often you appear across a defined sample of answers.** They don’t guarantee what any individual customer will see. Think of them as a recurring survey.

Tools make that survey useful through three practices:

- **Consistent sampling:** Run a fixed set of relevant buyer questions, keeping platform, country, language, and other settings consistent. Separate branded questions from unbranded discovery questions.
- **Repeated measurement:** Collect answers over time and compare weekly or monthly rates. More repetitions help measure variability; broader prompt coverage helps avoid measuring only a narrow slice of your market. Peec AI’s published methodology explicitly recommends broader coverage and keeping the prompt set fixed when comparing periods. [Peec methodology](https://peec.ai/blog/the-key-to-prompt-tracking)
- **Transparent counting:** Define mentions, recommendations, citations, and share of voice separately. Definitions differ: Ahrefs, for example, calculates AI share of voice using modeled impressions based on Google search volumes. That isn’t a count of actual AI users who saw your brand. [Ahrefs metric definitions](https://help.ahrefs.com/en/articles/15501968-ai-visibility-metrics)

**Here’s how I’d check a vendor before trusting its dashboard:**

| Ask for | What you’re checking |
|---|---|
| Exact prompts and where they came from | Do they reflect customer needs, including questions that don’t name your brand? |
| Collection method for each platform | Is it the consumer interface or an API? What location, account context, and search settings apply? |
| Runs per prompt, timestamps, and failure rates | Does “1,000 checks” mean 1,000 successful answers? Are missing results excluded or counted as no mention? |
| Raw answers, citations, and exports | Can you independently reproduce the reported score? |
| Formula, denominator, and weighting | Is “visibility” mention frequency, recommendation frequency, or a weighted composite? |
| Variability and methodology changes | How large must a movement be before they call it meaningful? Did prompts or models change? |

Then run a small audit:

1. **Freeze 20–30 important buyer prompts** for a two-week pilot. Treat this as a methodology check, not a complete market benchmark.
2. **Manually review 50–100 stored answers.** Check missed brand aliases, incorrect citations, and whether “mentioned” actually means “recommended.”
3. **Recalculate a simple mention rate:** answers mentioning your brand ÷ successful answers collected. Match the dashboard’s filters and weighting.
4. **Repeat a subset yourself** in fresh conversations under comparable conditions. Compare mention frequencies across several runs; one different answer doesn’t invalidate the tool.
5. **Compare identical prompt sets across periods.** Ask for uncertainty ranges that account for related prompts and repeated observations. A smooth chart alone doesn’t establish reliability.

For perspective, even **50 mentions in 100 independent, comparable runs** gives a rough 95% interval of **40–60%**. Correlated runs and biased prompt selection add uncertainty.

For tools, **Scrunch is worth evaluating for auditability** because it documents exact responses and citations, CSV/API exports, and collection through browser automation and official APIs. Verify those capabilities in your trial. **Peec AI is worth evaluating for ongoing trend monitoring** because its published methodology addresses sampling noise and consistent comparisons. Neither vendor’s documentation is independent proof of accuracy. [Scrunch capabilities](https://ai-cdn.scrunchai.com/faqs/category/features), [Peec methodology](https://peec.ai/blog/the-key-to-prompt-tracking)

For leadership reporting, use wording like: **“We appeared in 38% of sampled answers for these buyer questions this month.”** Keep that separate from audience reach, referral traffic, and revenue.

Searches: “site.ahrefs.com brand radar AI visibility prompts methodology repeated | site.scrunchai.com AI monitoring methodology prompts sampling | site.peec.ai methodology AI visibility tracking repeated prompts”

Cited: https://peec.ai/blog/the-key-to-prompt-tracking https://help.ahrefs.com/en/articles/15501968-ai-visibility-metrics https://ai-cdn.scrunchai.com/faqs/category/features

The answer names no Cheap Seats, CheapSeats, cheapseats.dev, Popcorn, or popcorn.zone; it lists other AI visibility platforms only.

# AI Visibility Platforms with Enterprise Security Credentials

**Verify before you buy.** Certification status changes, and vendors sometimes say "SOC 2 compliant" when they mean "in progress" or Type I. Ask each vendor for the **current SOC 2 Type II report** under NDA, or check their trust center.

## Platforms with Established Enterprise Security Programs

**AI visibility specialists**
- **Profound**: The best-known enterprise-focused AI visibility tool. It has publicly reported SOC 2 Type II and sells to large brands. It is a strong choice if AI search tracking is your main need.
- **Scrunch AI**: Enterprise-oriented, has reported SOC 2 Type II, and adds an "agent experience" layer for AI crawlers.
- **Evertune**: Aimed at large brands and agencies. Confirm its current attestation.

**Established SEO and content platforms with AI visibility modules**

These are often the easiest to get through procurement, because your security team may have already vetted them:
- **Conductor**: SOC 2 Type II, with mature enterprise security and SSO.
- **BrightEdge**: Long-standing enterprise vendor with an AI search tracking module (formerly Generative Parser / AI Catalyst).
- **seoClarity**: Enterprise SEO platform with AI visibility features and a solid security posture.
- **Yext**: SOC 2 and broader compliance (Yext Scout covers AI search visibility). It fits well if you manage multi-location brand data.
- **Semrush (AI Toolkit / Enterprise)**: A large vendor with formal security documentation. Confirm which products the report covers.

**Lighter-weight tools to check carefully**
- **Peec AI, AthenaHQ, Otterly.AI** and similar newer tools are popular and affordable. Some are GDPR-focused, but SOC 2 Type II may be missing or still in progress. They are fine for pilots, but may stall in procurement.

## What to Ask Every Vendor

1. Is it **SOC 2 Type II** (not just Type I), and what is the report date? Reports older than 12 months are stale.
2. Does the report's **scope** cover the AI visibility product specifically, not just the parent company?
3. Do you offer **SSO/SAML, SCIM, and role-based access**?
4. Which **LLM providers and subprocessors** receive our prompts or brand data? Is any of it used for model training?
5. Where is data stored (data residency), what is the retention period, and do you sign a **DPA**? Ask about ISO 27001 or GDPR if relevant.
6. Can you complete our security questionnaire? A vendor that refuses is a red flag.

## Practical Recommendation

- **Fastest path through security review:** Add the AI visibility module from a vendor you already use (Conductor, BrightEdge, seoClarity, Semrush).
- **Best dedicated AI visibility capability with enterprise credentials:** Shortlist **Profound** and **Scrunch**, and request their SOC 2 Type II reports up front.

If you tell me your current SEO stack and the AI engines you care most about (ChatGPT, Google AI Overviews, Perplexity, Gemini, Copilot), I can narrow this to two or three options.

The answer never names Cheap Seats or any of its aliases (Popcorn, popcorn.zone, CheapSeats, cheapseats.dev, etc.), so the brand is absent. It recommends Conductor, Profound and Scrunch AI for security review instead.

Several AI visibility platforms say they have SOC 2. Very few publish trust-center evidence, and most of what I found comes from vendor or competitor blogs, so confirm before you shortlist.

**Strongest security claims (SOC 2 Type II or more):**
- **Conductor**: Says it has SOC 2 Type II, ISO 27001 and ISO 42001 (ISO 42001 is the AI management standard). This is the most complete set of claims I found, and a third-party guide repeats it. It's the obvious pick if you want a full SEO and AI-visibility suite from one established vendor.
- **Meltwater GenAI Lens**: Claims SOC 2 Type II, ISO 27001/27701/42001 and SAML SSO. It's a paid add-on with no public price, so it fits best if you already use Meltwater.
- **Profound**: Claims SOC 2 Type II, SSO/SAML and HIPAA on its custom-priced Enterprise tier. Third-party comparisons often rank it first for enterprise and regulated industries. Those security claims come mostly from Profound's own marketing.
- **Scrunch AI**: Reviews say it has SOC 2 Type II and SSO, but only on the Enterprise tier.
- **Writesonic**: Its Enterprise tier lists SOC 2 Type II, SSO/SAML, HIPAA and GDPR. It's more of a content tool that added AI visibility tracking.

**Weaker or unclear:**
- **Goodie**: Says "SOC 2 compliance" on its Enterprise tier, without stating Type I or Type II. Ask which one.
- **AthenaHQ, Peec AI** and many smaller tools (Rankshift, Qwairy and others): Offer SSO on Enterprise tiers, but I found no public SOC 2 claim.
- **Evertune**: Has no public SOC 2 or ISO claim.
- **BrightEdge**: I couldn't confirm its SOC 2 status.

**How to check before procurement:**
1. Ask for the SOC 2 **Type II** report, not Type I. Type I checks controls at a single point in time, while Type II covers a period, usually 6–12 months. Check the audit period and that it's recent.
2. Check the report's scope. It should cover the AI visibility product itself, not only the parent company or a different product.
3. Ask which tier you need. SOC 2 and SSO are almost always Enterprise-only, which changes the price compared with the published $99–$499/month plans.
4. Ask how they collect AI answers (scraping or APIs), which subprocessors and LLM providers they use, and where your prompt and brand data is stored.

**Recommendation:** If security review is your main constraint, start with **Conductor, Profound and Scrunch** (Enterprise tiers). Use **Meltwater** if you're already a customer. Leave Evertune and the smaller tools for later unless they can send you a current Type II report.

Sources:
- [CitedIndex: AI-Visibility Tools With SSO, SOC 2 or a Named Security Control](https://citedindex.com/collections/ai-visibility-tools-with-sso-or-soc-2)
- [CitedIndex: SOC 2 Type II and SSO in AI-Visibility Tools: Included or Gated?](https://citedindex.com/blog/enterprise-security-ai-visibility-tools-2026/)
- [Nick Lafferty: 9 AI Visibility Optimization Platforms Ranked](https://nicklafferty.com/blog/best-ai-visibility-optimization-platforms/)
- [Profound: Best GEO Tools 2026](https://tryprofound.com/blog/best-generative-engine-optimization-tools)
- [eesel.ai: I tested 10 GEO tools in 2026](https://www.eesel.ai/blog/generative-engine-optimization-tools)
- [Conductor vs. Evertune](https://www.conductor.com/compare/evertune-vs-conductor/)
- [Menra: Scrunch AI vs Evertune](https://www.menra.ai/vs/scrunch-ai-vs-evertune)
- [Trakkr: Scrunch AI Review 2026](https://trakkr.ai/reviews/scrunch-review)
- [NoGood: Best AEO & GEO Tools for eCommerce](https://nogood.io/blog/best-aeo-geo-tools-ecommerce-brands/)
- [xseek: Best BrightEdge Alternatives](https://www.xseek.io/blogs/articles/best-brightedge-ai-alternatives)

Searches: “AI visibility platform SOC 2 Type II enterprise (Profound, Scrunch, Peec AI, Evertune, Conductor)” “generative engine optimization tool SOC 2 compliant SSO enterprise 2026” “Scrunch AI SOC 2 Type II; Evertune SOC 2; Conductor SOC 2 AI visibility; BrightEdge SOC 2”

Cited: https://citedindex.com/collections/ai-visibility-tools-with-sso-or-soc-2 https://citedindex.com/blog/enterprise-security-ai-visibility-tools-2026/ https://nicklafferty.com/blog/best-ai-visibility-optimization-platforms/ https://tryprofound.com/blog/best-generative-engine-optimization-tools https://www.eesel.ai/blog/generative-engine-optimization-tools https://www.conductor.com/compare/evertune-vs-conductor/ https://www.menra.ai/vs/scrunch-ai-vs-evertune https://trakkr.ai/reviews/scrunch-review https://nogood.io/blog/best-aeo-geo-tools-ecommerce-brands/ https://www.xseek.io/blogs/articles/best-brightedge-ai-alternatives

The answer names only Profound and Scrunch AI as enterprise candidates and never mentions Cheap Seats, Popcorn, or any other alias of the brand. The brand is therefore absent.

For an enterprise shortlist, start with **Profound** and **Scrunch AI**. Both focus on visibility in AI-generated answers and have publicly stated SOC 2 compliance, based on my existing knowledge.

| Platform | Why consider it | Security diligence |
|---|---|---|
| **Profound** | A strong fit for enterprise marketing teams monitoring brand mentions, citations, and competitors across AI answer engines. | Request its current SOC 2 report and confirm that the product and services you’ll use are covered. |
| **Scrunch AI** | Useful for tracking how AI assistants represent your brand and identifying ways to improve that presence. | Request its current SOC 2 report, plus details on identity controls and how submitted data is handled. |

**Treat these as candidates for security review, rather than preapproved vendors.** I haven’t verified their current audit status.

Before purchasing, have procurement confirm:

- **SOC 2 Type II:** Obtain the report, audit period, exceptions, and a bridge letter if needed. SOC 2 is an attestation—not a certification.
- **Access controls:** SAML SSO, role-based permissions, audit logs, and SCIM if your organization requires it.
- **Data handling:** Retention and deletion policies, subprocessors, contractual restrictions on model training, and a DPA.
- **Your specific requirements:** Data residency, incident notification, penetration testing, and any industry-specific obligations.

A practical first step is to ask both vendors for their **trust center and enterprise security packet before starting a pilot**, especially if your prompts will contain confidential campaign or customer information.

The brand Cheap Seats (aliases CheapSeats, Popcorn, etc.) is never named in the answer; the answer discusses Profound, Scrunch, AthenaHQ and OtterlyAI only.

**Start with Profound and Scrunch** if SOC 2 Type II is a firm procurement requirement. AthenaHQ also publicly lists Type II and merits consideration.

| Platform | Public security evidence | Why shortlist it |
|---|---|---|
| **Profound** | Its trust center states SOC 2 Type II, independently examined by Sensiba LLP, covering security, availability and confidentiality. It also publishes SAML/OIDC SSO support. | Strong starting point for teams that need formal security documentation alongside AI visibility tracking. ([Trust center](https://trust.tryprofound.com/), [enterprise features](https://www.tryprofound.com/blog/enterprise-features)) |
| **Scrunch** | States SOC 2 Type II compliance, with enterprise SSO and role-based access controls. Its enterprise documentation also lists audit logs and enterprise SLAs. | Good choice when access management and governance are central to your rollout. ([Enterprise security](https://scrunch.com/enterprise), [enterprise capabilities](https://scrunch.com/blog/enterprise-ready/)) |
| **AthenaHQ** | Its enterprise page lists SOC 2 Type I dated October 2025 and Type II dated June 2026. | Worth including in your evaluation, with procurement requesting the actual report to verify scope and audit results. ([Enterprise page](https://athenahq.ai/enterprise)) |

**Be careful with infrastructure-only claims.** For example, OtterlyAI’s security page cites SOC 2 certifications for its AWS data centers. That does **not** establish that OtterlyAI itself has a vendor-level SOC 2 report. ([OtterlyAI security](https://otterly.ai/security))

Before signing, ask each finalist for its **latest SOC 2 Type II report**, including audit period, system scope and exceptions. Also confirm SSO availability on your proposed plan, data retention and deletion, subprocessors, and whether customer data can be used for model training.

My recommendation: **evaluate Profound and Scrunch first**, then let your security team assess the reports. Public compliance claims support a shortlist; they don’t guarantee approval against your company’s requirements.

Searches: “Profound AI visibility SOC 2 Type II security | Scrunch AI SOC 2 Type II security | Peec AI SOC 2 security | Otterly AI SOC 2 security” “site.peec.ai "SOC" | site.athenahq.ai "SOC 2" | site.gumshoe.ai "SOC 2" | site.scrunch.com "SOC 2 Type II" security”

Cited: https://trust.tryprofound.com/ https://www.tryprofound.com/blog/enterprise-features https://scrunch.com/enterprise https://scrunch.com/blog/enterprise-ready/ https://athenahq.ai/enterprise https://otterly.ai/security

The answer names no product matching Cheap Seats or any of its aliases (Popcorn, CheapSeats, cheapseats.dev, popcorn.zone, etc.), so the brand is absent.

# AI Visibility Tools With API Access

This market changes quickly. API access is often limited to higher-tier or enterprise plans, so confirm current availability and pricing with each vendor before you commit.

## Dedicated AI visibility platforms

| Tool | API status | Notes |
|---|---|---|
| **Profound** | Yes (enterprise) | Strongest fit for large brands. Exposes prompt-level results, citations and share of voice across ChatGPT, Perplexity, Gemini, AI Overviews and others. Usually the most expensive. |
| **Peec AI** | Yes | Mid-market favorite. Clean data model of brands, prompts, sources and positions. Easy to pipe into BI tools. Good value. |
| **Scrunch AI** | Yes | Strong on enterprise and agency use. Also offers data on how AI agents and crawlers see your site. |
| **AthenaHQ** | Yes (higher tiers) | Solid tracking with action recommendations. Confirm which endpoints are exposed. |
| **Otterly.AI** | Limited | Mainly CSV and Looker Studio exports. Fine for lightweight dashboards, weaker for a real data pipeline. |

## SEO suites with AI visibility modules

These make sense if you already pay for the suite. You get one API for both SEO and AI data.

- **Semrush (AI Toolkit / Enterprise AIO):** Semrush has a mature API, but check that the AI visibility metrics are included in it, not just the UI.
- **Ahrefs Brand Radar:** Available through Ahrefs API v3 on enterprise plans. Strong for brand mention share across AI Overviews, ChatGPT and Perplexity.
- **Conductor, BrightEdge, seoClarity:** Enterprise SEO platforms with AI search tracking and established APIs or data connectors. They're a natural choice if your org already uses one of them.
- **Similarweb:** Best for AI referral traffic, meaning visits arriving from ChatGPT and similar tools, rather than in-answer mentions. Has a good API.

## Build your own from raw data

- **DataForSEO:** Offers LLM response and mention APIs plus AI Overview data at pay-as-you-go prices. Choose this if you want full control and have data engineering help.
- **SerpApi:** Provides Google AI Overview and AI Mode results as structured JSON.

## What to check before you buy

1. **Granularity:** Can you pull raw prompt-level responses and citations, or only aggregated scores? Raw data is far more useful for custom dashboards.
2. **Warehouse connectors:** Is there native export to BigQuery, Snowflake or Looker Studio, or only REST?
3. **Rate limits and history:** Can you backfill historical data through the API?
4. **Plan gating:** Ask directly whether the API is included or costs extra.

## Recommendations

- **Enterprise budget, want a turnkey solution:** Profound or Scrunch.
- **Mid-market, want value:** Peec AI.
- **Already on Semrush or Ahrefs:** Start with their module before adding another vendor.
- **Have engineers and want custom metrics:** DataForSEO.

The answer never names Cheap Seats, Popcorn, or any alias; it lists Profound, Scrunch, Peec AI, Ahrefs Brand Radar and others instead.

I checked vendor docs and some third-party reviews. Four tools have a real, documented API you can build a dashboard on: **Profound, Scrunch, Peec AI and Ahrefs Brand Radar**. Most of the others only offer CSV exports, a Looker Studio connector or an MCP server, or say an API is "on the roadmap."

## Documented public APIs

| Tool | What you can pull | Access / caveats |
|---|---|---|
| **Profound** | A REST API plus a Python SDK (`pip install profound`). Their API "cookbook" shows how to rebuild the app's charts, KPIs and tables from API calls, which is about as close to a dashboard blueprint as you'll get. | You create keys under Settings → API Keys. One integration guide says API keys are an **Enterprise-plan feature**. |
| **Scrunch** | Two APIs. The **Query API** gives aggregated visibility metrics. The **Responses API** gives the raw AI answers with citations, and each response has a fixed, unique ID, so you can safely dedupe or upsert. There are also endpoints for Agent Traffic and Configuration. | Bearer token, which can be scoped to one brand or the whole org. 90 days of history. You're billed per AI response collected, not per API call. The Responses API was labelled "Early Access" when last documented. |
| **Peec AI** | Customer API v1. Covers brand visibility, share of voice, prompts, chats, source citations and AI-bot traffic. Also has an official MCP server and a Looker Studio connector. | API key in an `x-api-key` header. **Only Pro+ (yearly) and Enterprise plans** can create keys. The API is still marked **beta**, so endpoints may change. |
| **Ahrefs Brand Radar** | Endpoints for mentions across AI chatbots and time-series data for mentions and impressions, with the same filters as the UI. You can filter by mentioned, cited, found but not cited, or not found. | Needs an Ahrefs API plan. AI chatbot data **only updates monthly**, so it's better for trend reporting than daily monitoring. |

## Partial or unclear

- **Semrush AI Visibility Toolkit:** Semrush has a large general API (one review puts API access on the Business tier, about $500/mo) and an MCP server. I found no documented endpoint for the toolkit's own data, such as share of voice and prompt tracking. Get that confirmed in writing before you buy for this purpose.
- **Otterly.ai:** Their help center still says there's no public API yet. They've since run an early-access API launch event, and one August 2026 review describes a REST API. You can rely on CSV/JSON exports and the Looker Studio connector. Ask them for early access.
- **AthenaHQ:** Read-only MCP server and CSV export. BI support is only mentioned for Enterprise, and I found no confirmed public REST API.
- **Evertune:** No customer API yet; it's on their roadmap. They can push reporting data to your S3 or Google Cloud Storage bucket. That's actually a good fit if your data team works from a warehouse.

Also worth a look: **Promptwatch** (reviewers say API and MCP are included on every plan) and **SE Ranking** (full REST API).

## My recommendation
- **Building in a BI tool (Looker, Tableau, etc.) and you want raw data:** go with **Scrunch** or **Profound**. They have the most complete APIs, and Scrunch's fixed response IDs make it the easiest to load into a data pipeline.
- **On a mid-market budget:** **Peec AI**, but you'll need the yearly Pro+ plan, and expect the beta API to change.
- **Already paying for Ahrefs:** **Brand Radar** is the cheapest way to start, as long as monthly updates are fresh enough for you.

Before you sign anything, ask each vendor three things: which plan includes API access, how many months of history the API returns, and what the rate limits are. Those terms change often and vary a lot between vendors.

Sources:
- [Profound API cookbook](https://www.tryprofound.com/blog/introducing-the-profound-api-cookbook) · [Profound docs](https://docs.tryprofound.com/cookbook/introduction.md) · [Frontegg – Profound connector](https://developers.frontegg.com/agen-for-work/connectors/marketplace/profound)
- [Scrunch API overview](https://developers.scrunch.com/api-reference/introduction) · [Scrunch API FAQ](https://scrunch.com/faqs/what-apis-does-scrunch-offer-and-how-do-they-work) · [Scrunch Responses API docs](https://intercom.help/scrunchai/en/articles/12499813-scrunch-ai-early-access-responses-api-documentation) · [Scrunch export FAQ](https://scrunch.com/faqs/can-you-export-data-from-scrunch)
- [Peec AI API changelog](https://docs.peec.ai/api/changelog) · [Frontegg – Peec AI connector](https://developers.frontegg.com/agen-for-work/connectors/marketplace/peec-ai) · [Merge – Peec connector](https://www.merge.dev/connectors/peec)
- [Ahrefs new features](https://ahrefs.com/blog/new-features) · [Ahrefs Brand Radar help](https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-do-you-use-it)
- [Trakkr – Semrush integrations](https://trakkr.ai/reviews/semrush-review/integrations) · [cocowork – Semrush](https://cocowork.fr/en/tools/semrush/) · [Semrush llms.txt](https://semrush.com/llms.txt)
- [Otterly – API FAQ](https://help.otterly.ai/do-you-provide-an-api-for-otterlyai) · [Otterly – Integrations & export](https://help.otterly.ai/integrations-data-export) · [Otterly API early access event](https://luma.com/abpx6ehc) · [Trakkr – Otterly](https://trakkr.ai/reviews/otterly-review/integrations)
- [Trakkr – AthenaHQ](https://trakkr.ai/reviews/athenahq-review/integrations) · [Trakkr – Evertune](https://trakkr.ai/reviews/evertune-review/integrations)
- [Position Digital – AI visibility tools](https://www.position.digital/blog/best-ai-visibility-tracking-tools/) · [Backlinko – LLM tracking tools](https://backlinko.com/llm-tracking-tools)

Searches: “AI visibility tracking tools API access Profound Peec AI Scrunch Otterly 2026” “Ahrefs Brand Radar API Semrush AI visibility API endpoint” “Peec AI API documentation docs.peec.ai” “Profound API docs tryprofound developer” “Scrunch AI API data export developer docs” “Semrush API AI visibility toolkit endpoint developer” “"Peec AI" API key REST endpoints export brands prompts” “Otterly.ai API access OR AthenaHQ API OR Evertune API data export”

Cited: https://www.tryprofound.com/blog/introducing-the-profound-api-cookbook https://docs.tryprofound.com/cookbook/introduction.md https://developers.frontegg.com/agen-for-work/connectors/marketplace/profound https://developers.scrunch.com/api-reference/introduction https://scrunch.com/faqs/what-apis-does-scrunch-offer-and-how-do-they-work https://intercom.help/scrunchai/en/articles/12499813-scrunch-ai-early-access-responses-api-documentation https://scrunch.com/faqs/can-you-export-data-from-scrunch https://docs.peec.ai/api/changelog https://developers.frontegg.com/agen-for-work/connectors/marketplace/peec-ai https://www.merge.dev/connectors/peec https://ahrefs.com/blog/new-features https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-do-you-use-it https://trakkr.ai/reviews/semrush-review/integrations https://cocowork.fr/en/tools/semrush/ https://semrush.com/llms.txt https://help.otterly.ai/do-you-provide-an-api-for-otterlyai https://help.otterly.ai/integrations-data-export https://luma.com/abpx6ehc https://trakkr.ai/reviews/otterly-review/integrations https://trakkr.ai/reviews/athenahq-review/integrations https://trakkr.ai/reviews/evertune-review/integrations https://www.position.digital/blog/best-ai-visibility-tracking-tools/ https://backlinko.com/llm-tracking-tools

The answer names Profound, Peec AI and Scrunch AI but never mentions Cheap Seats, Popcorn, or any alias of the brand, so the brand is absent.

For tracking how your brand appears in AI answers, I’d shortlist these tools with API offerings:

| Tool | Why consider it for your own dashboards |
|---|---|
| **Profound** | A strong enterprise option for tracking brand visibility, citations, and competitors across AI answer engines. Offers API access for bringing its data into internal reporting. |
| **Peec AI** | A focused option for monitoring prompts, brand mentions, and competitor visibility. Its API makes it worth evaluating for a straightforward marketing dashboard. |
| **Scrunch AI** | Useful for tracking how AI systems describe and recommend your brand. Offers API access for integrating monitoring data into your reporting stack. |

**Start with Peec AI for a focused visibility dashboard; evaluate Profound for broader enterprise reporting.** Include Scrunch if understanding how AI represents your brand is a major priority.

Before buying, ask each vendor to confirm:

- **Available fields:** prompt-level results, raw answers, citations, competitors, and historical scores.
- **Coverage:** which AI engines, countries, and languages the API includes.
- **Commercial terms:** API plan requirements, rate limits, and historical backfill.

These are based on my existing knowledge; API availability and plan requirements may have changed. Ask for sample API responses before committing—dashboard access doesn’t necessarily mean every metric is available through the API.

The answer never names Cheap Seats or any of its aliases; it lists Promptwatch, Profound, Scrunch, OtterlyAI, AthenaHQ and Waikay as API options. The brand is therefore absent.

**Yes—several AI visibility tools offer APIs for pulling reporting data into your own dashboards.** I checked current vendor documentation; these are the options I’d shortlist:

| Tool | Data you can pull | Why consider it / access details |
|---|---|---|
| **Promptwatch** | Visibility scores, prompts, AI responses, citations, and crawler logs | A strong starting point for a custom dashboard because it documents broad data access and supports project-level, organization-level, and read-only API keys. [API details](https://promptwatch.com/integrations/rest-api) |
| **Profound** | Visibility scores, share of voice, mentions, average position, citation reports, and bot analytics | Worth evaluating for detailed reporting: its API supports breakdowns by dimensions such as model, region, topic, and prompt, with a cookbook for reproducing dashboard metrics. Confirm API entitlement and pricing with sales. [API reference](https://api.tryprofound.com/redoc) |
| **Scrunch** | Aggregated prompt metrics and raw AI responses | Useful if you want both executive KPIs and the underlying answers. Scrunch states its APIs provide **90 days of historical data**, so plan to retain daily pulls in your own warehouse. [Export details](https://scrunch.com/faqs/can-you-export-data-from-scrunch) |
| **OtterlyAI** | Brand mentions, coverage, citations, share of voice, sentiment, and prompt-level results | A practical reporting option with published quotas: API access is available on **Standard, Premium, and Custom** plans; Standard includes **2,000 requests/month**, Premium **5,000**. [API and plan details](https://help.otterly.ai/do-you-provide-an-api-for-otterlyai) |
| **AthenaHQ** | AI visibility data for custom dashboards; its integrations page also describes share-of-voice and citation workflows | Consider it if you also want content and optimization workflows in the same platform. Confirm the exact reporting endpoints, history, and API plan before buying. [Integrations](https://athenahq.ai/integrations/) |
| **Waikay** | Visibility overviews, competitor rankings, citation sources, and scores at project or prompt level | A lower-cost option to evaluate: API access starts at **$69.95/month** on Level 2 and above, with credits required per call. Its documented overview and ranking/source windows are relatively short. [API details](https://waikay.io/api/) |

**My recommendation:** Start with **Promptwatch and OtterlyAI** for a dashboard-focused evaluation, and add **Profound** if you need more detailed reporting dimensions.

Before committing, ask each vendor to demonstrate one API pull containing **date × prompt × engine × brand**, including competitor mentions and citation URLs. Also confirm historical backfill, refresh frequency, request limits, and whether the API exposes the same metrics as the dashboard. That will tell you much more than an “API available” checkbox.

Searches: “AI visibility monitoring API Profound Scrunch Peec Otterly API data | AI visibility tools API AthenaHQ API Waikay” “site.tryprofound.com API reporting API | site.scrunch.com API data export API | site.peec.ai API documentation | site.promptwatch.com API documentation” “Profound API docs visibility reporting API site:tryprofound.com OR site:docs.tryprofound.com | site.help.peec.ai API | site.otterly.ai API access reporting”

Cited: https://promptwatch.com/integrations/rest-api https://api.tryprofound.com/redoc https://scrunch.com/faqs/can-you-export-data-from-scrunch https://help.otterly.ai/do-you-provide-an-api-for-otterlyai https://athenahq.ai/integrations/ https://waikay.io/api/

The answer names none of the Cheap Seats aliases (Cheap Seats, CheapSeats, cheapseats.dev, Popcorn, popcorn.zone, metcalfc/popcorn) and does not mention the brand at all.

Most dedicated AI visibility (GEO/AEO) platforms run your tracked prompts on a schedule, usually daily. Fewer offer true **alerts when you drop out of an answer**, so that's the feature to check in each demo. Here are the main options as of mid-2026. Features change quickly, so confirm current alerting before you buy.

## Strong fits for scheduled monitoring and alerts

**Profound**: Enterprise-grade. It tracks daily across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. It covers share of voice, citations, and sentiment, with notifications and integrations. It's the best fit if you need depth and have budget.

**Scrunch AI**: Enterprise-focused. It monitors prompts continuously and flags changes in brand presence and accuracy, including misinformation about you. It's a good fit if brand-safety alerts matter.

**Peec AI**: Mid-market and easy to set up. It runs daily prompt tracking by model and country, with competitor benchmarking. It has Slack and email reporting. Check whether it has threshold-based drop alerts or only digests.

**Otterly.AI**: Affordable and simple. It runs automated recurring checks across ChatGPT, Perplexity, and AI Overviews, with brand mention and citation tracking and email notifications. It's a good starting point for a small team.

**AthenaHQ**: Scheduled tracking across major LLMs, competitive share of voice, and suggested content actions.

## Add-ons if you already use an SEO suite

**Semrush (AI Toolkit / Enterprise AIO)**: Scheduled AI visibility tracking that sits next to your existing SEO reporting.

**Ahrefs Brand Radar**: Strong for mention and citation trends at scale. It leans more toward analysis than real-time alerting.

## Questions to ask every vendor

1. **Alert trigger:** Can it alert on a *specific prompt* losing your brand or citation, or only on aggregate share-of-voice changes?
2. **Channels:** Does it support Slack, email, or webhooks? Webhooks let you route alerts into your own tools.
3. **Run frequency and sampling:** LLM answers vary from run to run. Ask whether they run each prompt several times per check. Otherwise a single bad sample will trigger false "you dropped out" alerts.
4. **Engines covered:** ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, and Copilot. Check which ones matter for your buyers.
5. **Pricing basis:** Most charge per prompt tracked, so a small, high-intent prompt set keeps costs down.

## My recommendation

- **Small team or budget:** Start with **Otterly.AI** or **Peec AI** and 25–50 high-intent prompts.
- **Enterprise, or multiple brands and regions:** Run a pilot with **Profound** or **Scrunch**.
- **Need custom alert logic** (for example, "alert if we're absent in 2 of 3 runs for a top-10 prompt"): choose a tool with webhooks, or build a simple version yourself. A scheduled job can call the OpenAI and Perplexity APIs, check the answers for your brand, and post to Slack. Keep in mind that API responses don't always match what users see in the consumer apps.

If you share your budget, team size, and the engines your buyers use most, I can narrow this to one or two tools.

The answer never names Cheap Seats, CheapSeats, cheapseats.dev, or any other alias of the brand, so the brand is absent.

Several tools run your prompts on a schedule and can flag a drop. But the vendors' own documentation on alerts is thin, and most comparison articles are written by competitors. Before you buy anything, test the alert yourself during the trial.

**Shortlist for "tell me when we disappear"**

| Tool | Schedule | Drop alerts | Starting price* | Why consider it |
|---|---|---|---|---|
| **Hall** | Daily | Alerts when you're mentioned, when you're **dropped**, and when sentiment shifts | Check vendor | Matches your question most directly: daily runs and a "dropped" trigger |
| **Profound** | Daily across engines (Profound's own claim) | Competitor and share-of-voice alerts by **Slack and email** | ~$99/mo listed, but self-serve pricing is hard to confirm | Enterprise choice with Slack/email delivery and more reporting |
| **Peec AI** | Daily, "always-on" | Visibility drops on high-intent prompts, new competitors showing up. Slack support is reported but I couldn't confirm it | €89/mo Starter, €199/mo Pro | Clean prompt tracking, quick to set up, good for teams |
| **Promptmonitor** | Scheduled | "Your mention dropped," new competitor mentioned, cited source changed | $29/mo, 7-day trial | Cheap, with a trigger built for exactly this |
| **Otterly.AI** | Mostly weekly | Mention drops, gains, new mentions | $29/mo, 14-day trial | Cheapest way to monitor, but weekly checks find drops later |
| **Brand24** | Continuous | Real-time alerts, sentiment, volume trends | $199/mo | Good if you also want classic social and web listening |

*Prices come from third-party roundups from 2026. Confirm them with each vendor.

Some other tools also appear in roundups with alerting: SE Visible (SE Ranking), Ahrefs Brand Radar, Brandlight and Scrunch. They're worth a look if you already pay for Ahrefs or SE Ranking.

**My recommendation**
- **Start with Peec AI or Hall.** Both run daily and alert on drops, and they cost far less than enterprise tools.
- **Choose Profound** if you need Slack/email alerts that leadership reads and you have an enterprise budget.
- **Use Promptmonitor or Otterly** if you want a $29/mo trial run first. Note that Otterly's weekly schedule means you could find out about a drop up to a week late.

**How to set it up so alerts aren't noise**
AI answers change from one run to the next, so a single missing mention is often random. Common advice:
- Only send an urgent alert if you're missing for **2 runs in a row**.
- Compare against your average over the **last 7–14 days**.
- Alert on a **presence-rate drop over about 20–25%** across a group of priority prompts, not on single prompts.
- Send alerts to a dedicated Slack channel, and get a weekly email summary for trends.

**What to check in each trial:** Can you pick which prompts or groups trigger an alert? Can you set the threshold? Does it alert when you lose a citation, not just a mention? Does it post to Slack or a webhook? Which engines run daily and which run weekly?

Sources:
- [GrowthOS – AI brand visibility monitoring tools](https://www.usegrowthos.com/blog/ai-brand-visibility-monitoring-tools)
- [GrowthOS – Best AI visibility tools](https://www.usegrowthos.com/blog/best-ai-visibility-tools)
- [LLM Pulse – Best ChatGPT tracking tools](https://llmpulse.ai/blog/best-chatgpt-tracking-tools/)
- [Digital Applied – AI visibility tools 2026](https://www.digitalapplied.com/blog/ai-visibility-tools-2026-track-brand-chatgpt-perplexity-gemini)
- [SE Ranking – Best AI visibility tools](https://visible.seranking.com/blog/best-ai-visibility-tools/)
- [Frase – 10 best AI visibility tools](https://www.frase.io/blog/the-10-best-ai-visibility-tools-in-2026)
- [SitePoint – AI brand visibility monitoring tools](https://www.sitepoint.com/ai-brand-visibility-monitoring-tools/)
- [Rivo – AI visibility tracking tools](https://www.rivo.io/blog/ai-visibility-tracking-tools)
- [Dageno – ChatGPT brand visibility tools](https://www.dageno.ai/blog/01-best-tools-for-tracking-brand-visibility-in-chatgpt)
- [The Rank Masters – Answer change detection](https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-answer-change-detection)
- [The Rank Masters – Scheduled email reports + Slack alerts](https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-scheduled-email-reports-slack-alerts)
- [The Rank Masters – Anomaly detection](https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-anomaly-detection)
- [The Rank Masters – Citation loss alerts](https://www.therankmasters.com/insights/ai-visibility/ai-visibility-tools-citation-loss-alerts)
- [Texta – AI citation visibility alerts](https://texta.ai/blog/ai-citation-visibility-alerts)
- [Profound vs Otterly](https://www.tryprofound.com/articles/profound-vs-otterly)
- [eClincher – Profound alternatives](https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change)
- [Layer3 Labs – Otterly pricing](https://www.layer3labs.io/guides/otterly-ai-pricing)
- [AIRefs – Promptmonitor alternatives](https://getairefs.com/blog/best-promptmonitor-alternatives/)
- [Brandlight – Which AI tool alerts when we disappear](https://sat.brandlight.ai/articles/which-ai-tool-alerts-when-we-disappear-from-prompts)

Searches: “AI visibility tracking tools alerts when brand drops from ChatGPT answers 2026” “Profound vs Peec AI vs Otterly alerts scheduled prompt tracking” “Peec AI Slack alerts OR email alerts visibility drop prompt”

Cited: https://www.usegrowthos.com/blog/ai-brand-visibility-monitoring-tools https://www.usegrowthos.com/blog/best-ai-visibility-tools https://llmpulse.ai/blog/best-chatgpt-tracking-tools/ https://www.digitalapplied.com/blog/ai-visibility-tools-2026-track-brand-chatgpt-perplexity-gemini https://visible.seranking.com/blog/best-ai-visibility-tools/ https://www.frase.io/blog/the-10-best-ai-visibility-tools-in-2026 https://www.sitepoint.com/ai-brand-visibility-monitoring-tools/ https://www.rivo.io/blog/ai-visibility-tracking-tools https://www.dageno.ai/blog/01-best-tools-for-tracking-brand-visibility-in-chatgpt https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-answer-change-detection https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-scheduled-email-reports-slack-alerts https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-anomaly-detection https://www.therankmasters.com/insights/ai-visibility/ai-visibility-tools-citation-loss-alerts https://texta.ai/blog/ai-citation-visibility-alerts https://www.tryprofound.com/articles/profound-vs-otterly https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change https://www.layer3labs.io/guides/otterly-ai-pricing https://getairefs.com/blog/best-promptmonitor-alternatives/ https://sat.brandlight.ai/articles/which-ai-tool-alerts-when-we-disappear-from-prompts

The answer names Profound, Scrunch AI, Peec AI and Otterly.AI but never names Cheap Seats, Popcorn, or any alias of it, so the brand is absent.

For scheduled monitoring and alerts when your brand disappears from AI answers, I’d shortlist these. Features and plan limits change, so confirm the exact alert behavior in a demo.

| Tool | Why consider it | What to verify |
|---|---|---|
| **Profound** | Strong fit for enterprise teams tracking brand visibility, citations, and competitors across AI answer engines. | Whether alerts can trigger on a specific prompt losing your brand, versus aggregate visibility changes. |
| **Scrunch AI** | Built for monitoring how AI assistants represent your brand and identifying visibility gaps. Useful for marketing teams that want actionable follow-up. | Monitoring frequency, supported engines, and email or Slack alert options. |
| **Peec AI** | A focused option for tracking prompts, brand mentions, citations, and competitor visibility over time. | Whether disappearance alerts are native or require an integration or report review. |
| **Otterly.AI** | A straightforward option for recurring prompt monitoring and tracking brand mentions and source links. | Whether notifications flag lost mentions automatically, rather than simply delivering scheduled reports. |

**My practical recommendation:** Start with **Scrunch AI and Profound** if proactive alerts are the priority. Include **Peec AI or Otterly.AI** if you want a simpler monitoring workflow.

Ask each vendor to demonstrate this exact rule:

> “Run these prompts daily. Alert us when our brand is absent for three consecutive checks after previously appearing, and include the answers, citations, and competitors that replaced us.”

That distinction matters: **scheduled tracking doesn’t necessarily include disappearance alerts**. AI answers also vary between runs, so use repeated misses or a sustained visibility decline as the trigger rather than a single missing mention.

The answer recommends Scrunch, Profound, OtterlyAI and DiscoveredBy and never names Cheap Seats, CheapSeats, Popcorn or any other alias of the brand.

**I’d shortlist Scrunch and Profound first**, with OtterlyAI as an option if you’re comfortable setting up an alert workflow.

| Tool | Scheduled monitoring and alerts | Why consider it |
|---|---|---|
| **Scrunch** | Its **Signals** feature detects significant visibility changes and sends email notifications at your chosen cadence: real-time, daily, or weekly. | Best starting point for a marketing team that wants alerts with context and suggested actions. [Signals details](https://scrunch.com/blog/automated-analysis-answers-on-demand-for-ai-search) |
| **Profound** | Runs tracked prompts daily. You can build recurring Agents that compare visibility and citations against previous periods, flag changes above a threshold, and post to **Slack**. | Best if you want configurable alert rules delivered directly to your team’s workflow. Requires Agent setup. [Monitoring details](https://www.tryprofound.com/articles/ai-marketing-agents-reporting-and-monitoring) |
| **OtterlyAI** | Runs tracked prompts automatically every day. Its API supports connecting visibility data to **Zapier, Make, or Slack** to trigger alerts when brand coverage drops. | Useful if you want daily monitoring and have someone who can configure the automation. The documented alert route requires integration work. [Daily monitoring](https://help.otterly.ai/monitoring-interval), [API alerts](https://help.otterly.ai/do-you-provide-an-api-for-otterlyai) |
| **DiscoveredBy** | Checks daily for meaningful changes between adjacent seven-day windows, including visibility drops and lost citations. Offers daily or weekly email digests. | Worth evaluating if you want explicitly documented loss alerts with thresholds that reduce noise. [Alerts and reports](https://discoveredby.ai/features/alerts-and-reports) |

**For your exact requirement, ask for a live demo of:** “Alert us when our brand previously appeared for a tracked prompt and is now missing, broken out by engine and country.” Aggregate visibility-drop alerts can miss that specific event.

I’d start with 20–50 high-intent buying prompts and request an alert after **two consecutive missed checks**, plus a weekly trend report. That’s a suggested starting rule: AI answers vary between runs, so a single disappearance can be noise. These tools monitor sampled answers to tracked prompts; they cannot observe every customer’s AI conversation.

Searches: “AI visibility monitoring alerts brand disappears answers scheduled Peec AI Profound Otterly alerts | site.otterly.ai alerts brand visibility daily monitoring | site.profound.ai alerts visibility monitoring | site.peec.ai alerts notifications visibility” “AI visibility "alerts" "daily" "site:peec.ai" | site.tryprofound.com alerts slack visibility | site.scrunch.com alerts visibility daily | site.promptmonitor.io alerts visibility drop daily” “AI visibility monitoring "alerts" "daily" -site:reddit.com -site:promptmonitor.io | site.peec.ai "alerts" | site.scrunch.com "alerts" | site.tryprofound.com "daily" "monitoring"”

Cited: https://scrunch.com/blog/automated-analysis-answers-on-demand-for-ai-search https://www.tryprofound.com/articles/ai-marketing-agents-reporting-and-monitoring https://help.otterly.ai/monitoring-interval https://help.otterly.ai/do-you-provide-an-api-for-otterlyai https://discoveredby.ai/features/alerts-and-reports