Choosing an AI visibility tool 2026-10-21 20:05

# Publish popcorn.zone/blog/free-open-source-ai-visibility-tracker with quickstart

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?
- 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?
- Is there a free AI visibility tracker that's actually useful?

## What the assistant said
P12 search: top pick 'Amplitude AI Visibility', Popcorn pages seen: NONE

## Who wins the question today
https://www.amplitude.com/docs/amplitude-ai/ai-visibility. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/blog/free-open-source-ai-visibility-tracker 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
Popcorn is a free, MIT-licensed AI visibility tracker that runs as one Docker container with SQLite. It can run at no added cost on Claude Code or Codex CLI subscriptions you already pay for, or on API keys with a daily budget cap. Include a 5-minute quickstart, a sample graded answer (recommended/mentioned/absent, position, top pick, share of voice) and a sample fix list, and compare it directly with HubSpot AEO Grader, Ahrefs' free checker and Amplitude AI Visibility.

## Done when
Re-running prompts 11 and 12 on the search track shows this page among the pages that shaped the answer, and Popcorn is at least mentioned in one answer to 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.

# Get Popcorn listed on alexbirkett.com/profound-alternatives as the open-source option

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 should I look for when evaluating AI visibility or GEO tools?
- What are good alternatives to Profound for tracking AI search visibility?
- Peec AI vs Profound: which is better for a mid-size marketing team?

## What the assistant said
P4 search: shaped by alexbirkett.com/profound-alternatives/ and seranking.com/blog/profound-alternatives/; Popcorn absent in all 4 answers

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

## Your task
We need to be included on https://alexbirkett.com/profound-alternatives/. 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 Popcorn as the open-source, self-hosted alternative to Profound. It is MIT licensed, keeps your prompts in your own git repo as TOML, and keeps every answer, search result and citation. It also outputs a ranked fix list rather than only a dashboard. Give the editor a 2-line blurb plus the GitHub link.

## Done when
Popcorn is listed on alexbirkett.com/profound-alternatives/, and a re-run of prompt 4 on the search track mentions Popcorn.

## 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/does-chatgpt-and-claude-recommend-your-saas

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'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 the assistant said
P3: top picks Peec AI/Profound across all 4 answers; Popcorn pages seen: NONE

## Who wins the question today
https://www.loudface.co/blog/best-aeo-tools-for-b2b-saas-2026. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/blog/does-chatgpt-and-claude-recommend-your-saas 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
Answer 'does ChatGPT and Claude recommend my SaaS?' directly. Popcorn queries OpenAI and Claude models on two tracks: search, where the model must search the web first, and recall, where it answers from what the model already believes. Each answer is graded recommended, mentioned or absent, with position and objections. State plainly that Gemini and Google AI Overviews are not covered today.

## Done when
A re-run of prompt 3 on the search track cites this page or names Popcorn.

## 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 documenting the JSON API, MCP server and CLI

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
- Are Semrush's AI Toolkit or Ahrefs Brand Radar enough, or do we need a dedicated AI visibility tool?
- Which AI visibility tools have an API so we can pull the data into our own dashboards?

## What the assistant said
P16 search: top pick Profound, shaped by docs.tryprofound.com/mcp/overview and docs.peec.ai/api/introduction.md

## Who wins the question today
https://docs.tryprofound.com/mcp/overview. 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 MCP server tools and CLI commands, with copy-paste examples that pull share-of-voice rank, daily rates and raw answers and citations into a dashboard. State that all data lives in a SQLite file you own and can query directly.

## Done when
A re-run of prompt 16 on the search track lists Popcorn among tools with an API.

## 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 variance, two tracks and audit trail

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 should I look for when evaluating AI visibility or GEO tools?
- 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: all 4 answers top pick none; shaped by evertune.ai and llmpulse.ai methodology posts

## Who wins the question today
https://llmpulse.ai/blog/measuring-ai-visibility-methodology/. 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 AI answers checkable. The search and recall tracks are separated. Every answer, search result and citation behind a score is retained so anyone can audit it. Prompt sets are versioned in git through pull requests, so changes in the numbers can be traced to a prompt change or a model change. Measure and publish run-to-run variance on a sample prompt set before claiming any reliability figure.

## Done when
A re-run of prompt 14 on the search track cites popcorn.zone/docs/methodology.

## 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/pricing explaining cost drivers and measured cost per run

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 codex search: shaped by otterly.ai/pricing, peec.ai/pricing, scrunch.com/pricing, tryprofound.com/pricing

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

## Your task
Write or update the page at popcorn.zone/pricing 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 Popcorn's cost is only your model spend: prompts × models × 2 tracks × runs, capped by a daily budget, or $0 extra on existing Claude Code/Codex subscriptions. There are no per-seat, per-brand or per-prompt license fees. First measure the real API cost of a 20-prompt daily run and publish it next to Otterly, Peec and Profound list prices.

## Done when
A re-run of prompt 13 on the search track mentions Popcorn's usage-based or free model.

## 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 covering self-hosting and data flow for SOC 2 reviews

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 codex search: top pick Profound, shaped by trust.tryprofound.com

## Who wins the question today
https://trust.tryprofound.com/. 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
Explain that Popcorn is self-hosted on your own Docker, Kubernetes (Helm) or exe.dev VM. Prompts and answers go only to the model providers you configure, so no third-party vendor holds your data and vendor SOC 2 review reduces to your own infrastructure and your model providers. Do not claim Popcorn holds a SOC 2 certification.

## Done when
A re-run of prompt 15 on the search track mentions Popcorn as a self-hosted option.

## 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.

# Ship scheduled runs with drop alerts and document at popcorn.zone/docs/scheduling-and-alerts

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 can run on a schedule and alert us when we drop out of answers?

## What the assistant said
P17 search: top picks Profound and Scrunch, shaped by help.otterly.ai/monitoring-interval and peec.ai/mcp-use-cases/competitor-alerts

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

## Your task
This is a product gap, not a content one: popcorn.zone/docs/scheduling-and-alerts. 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
Confirm whether Popcorn can run prompt sets on a schedule and alert when a prompt flips from recommended to absent. If it can't, add a cron schedule and a webhook/Slack alert on drops in day-by-day rates. Then document it at popcorn.zone/docs/scheduling-and-alerts.

## Done when
The feature ships, the docs page exists, and a re-run of prompt 17 on the search track names Popcorn.

## 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, Popcorn, or any listed alias; the brand is absent from the answer.

# How GEO Tools Work and Which Are Worth Paying For

## How they work

Generative engine optimization (GEO) tools, also called AEO or "AI visibility" tools, mostly **measure** rather than optimize. The core loop is:

1. **Build a prompt set.** You (or the tool) define questions buyers might ask, like "best CRM for small agencies" or "Asana vs Monday."
2. **Query AI engines repeatedly.** The tool runs those prompts against ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, and others. Better tools scrape the actual consumer interfaces, because raw API answers often differ from what users see.
3. **Parse the answers.** They extract whether your brand is mentioned, its position, sentiment, competitors named, and which URLs are cited as sources.
4. **Aggregate into metrics.** Typical outputs are share of voice, mention rate, citation share, and trends over time.
5. **Recommend actions (varies a lot).** This can mean identifying the sources AI keeps citing (G2, Reddit, specific listicles, Wikipedia) so you can get included there, finding content gaps, or flagging technical issues. Some tools also analyze server logs to see AI crawlers (GPTBot, PerplexityBot) hitting your site.

**Important caveats:**
- AI answers are non-deterministic and personalized, so a single run means little. Look for tools that sample each prompt many times.
- Prompt sets are synthetic. Nobody has real prompt-volume data comparable to search volume, despite what some claim.
- Most of the actual "optimization" is classic PR, review-site presence, and clear, well-structured content. The tools tell you *where* to aim.

## Tools worth considering

Pricing changes often in this category, so verify current plans.

**Enterprise / serious budget**
- **Profound**: The most robust option. It covers many engines, uses front-end scraping, has strong citation and source analysis, and offers crawler/log insights. It is expensive and best if AI visibility is a board-level metric.
- **Scrunch AI**: Strong on how AI agents perceive your brand and site. It is good for larger brands worried about misinformation or accuracy.

**Mid-market sweet spot**
- **Peec AI**: Clean UI, solid competitor benchmarking and source tracking, reasonable price. This is the best value for most B2B marketing teams.
- **AthenaHQ**: Similar tier with more emphasis on actionable recommendations.

**Budget / getting started**
- **Otterly.ai**: Cheap, simple monitoring. It is fine for establishing a baseline before you commit.

**Add-ons to tools you may already own**
- **Semrush AI Toolkit / AI visibility features** and **Ahrefs Brand Radar**: These are good enough for many teams, and they sit next to your SEO data. Check whether you can get them from an existing contract before buying a standalone tool.

## My recommendation

- **Start cheap.** Use Otterly or your existing Semrush/Ahrefs add-on for 1–2 months to see whether you're even in the conversation and which sources get cited.
- **Upgrade to Peec AI** (or Profound if you're enterprise) once you have a team acting on the data weekly. Without someone owning the follow-through (PR outreach, review sites, content updates), a premium tool is just an expensive dashboard.
- **Run a quick bake-off before signing anything annual.** Give 2–3 vendors the same 30–50 prompts and compare results. Disagreement between them tells you a lot about methodology.
- **Pair any tool with GA4 referral tracking** from chatgpt.com, perplexity.ai, and similar sources. That gives you real traffic and conversions to judge whether visibility gains matter.

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

GEO tools (also sold as "AI visibility" or "AEO" tools) are mostly monitoring tools. They show you how often AI assistants mention your brand, but they can't make the assistants mention you more. Buy one for measurement, and expect the actual improvement to come from your content and PR work.

## How they work

1. **You give it a set of prompts.** These are questions your buyers might ask, like "best CRM for small agencies" or "X vs Y." The tool runs them over and over across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. Pricing is mostly based on how many prompts you track and how many engines you cover.
2. **It collects the answers in one of two ways:**
   - **API calls** to the models. This is cheap and fast, but it's not exactly what users see. API answers often leave out citations and can list different brands than the chat interface does.
   - **Browser automation**, which drives the real chat interface the way a person would. It's closer to what users see, but it costs more and breaks when the platforms change their pages or block bots.
   - Vendors argue hard about which method is better. Scrapers claim Perplexity's API and its UI share as little as 8% of sources, and API vendors call scraping unreliable. I couldn't find an independent study that settles it, so ask each vendor which method they use for each engine.
3. **It parses the answers** for whether your brand is mentioned, where it appears in the answer, the sentiment, competitors' share of voice, and which URLs got cited.
4. **It suggests fixes.** The most useful output is the citation data: which third-party pages (Reddit threads, review sites, listicles, docs) the AI is pulling from. That tells you where to get coverage and which pages of your own to rewrite. Some tools also offer content briefs or checks on whether AI crawlers can read your site.

**Caveats to keep in mind:**
- AI answers aren't deterministic. The same prompt can give different answers from one run to the next, so read the trends and ignore single snapshots.
- Your prompt set is a guess about what buyers ask. Nobody has real AI query volume data the way Google search has keyword volume, so any "visibility score" is only as good as the prompts behind it.

## Which ones are worth paying for

| Tool | Approx. price | Best for |
|---|---|---|
| **Otterly.ai** | from ~$29/mo (about 10–15 prompts) | Cheapest way to start. Covers ChatGPT, AI Overviews, Perplexity and, depending on the source, Copilot. Good for testing whether this matters for your category. |
| **Peec AI** | ~$95 / $245 / $495/mo (lower if billed annually) | The value pick most reviews land on for mid-market teams. Solid competitor benchmarking and source/citation analysis. |
| **Profound** | Enterprise, reportedly $2K–5K+/mo | Deepest data and coverage. Reports say it dropped its self-serve plans in September 2026, so expect a sales process. Only worth it if AI search is a major channel and you have someone to act on the data. |
| **Semrush / Ahrefs AI add-ons** | Add-on to your existing plan | Worth trying first if you already pay for one of them, since you avoid buying another tool. |
| **BrightEdge / Conductor** | $30K+/yr range | Only makes sense if you're already on these enterprise SEO platforms. |
| **Rankscale** | from ~$20/mo | A budget alternative to Otterly. |

Prices are as reported in reviews from mid-2026, and the sources disagree with each other, so confirm on vendor sites.

## What I'd do

- **Test cheaply first.** Track 25–50 prompts based on real sales-call and support questions in Otterly, or in your existing Semrush/Ahrefs plan, for 60–90 days.
- **Upgrade to Peec once you see movement** and need competitor share-of-voice reporting for leadership.
- **Only consider Profound** if you're enterprise and AI referrals are showing up as real pipeline in your analytics.
- **Before signing anything, ask each vendor:**
  - API or UI collection, per engine?
  - How many runs per prompt?
  - Can you export the raw answers?
  - Is Google AI Mode covered?
- **Spend most of your effort on the work, not the tool.** Get into the third-party sources the tools show being cited, publish clear comparison and "best X for Y" content, and keep your product facts consistent everywhere.

Sources:
- [Nick Lafferty – Best GEO Tools 2026](https://nicklafferty.com/blog/best-generative-engine-optimization-tools-2025/)
- [RankPrompt – Best AI Visibility Tools 2026](https://rankprompt.com/best-ai-visibility-tools/)
- [Stackmatix – Best GEO Tools 2026 Guide](https://www.stackmatix.com/blog/best-generative-engine-optimization-tools)
- [Surmado – Profound vs Peec vs Otterly](https://www.surmado.com/blog/best-ai-visibility-tools-2026)
- [ZipTie – Best GEO Tools 2026](https://ziptie.ai/blog/best-generative-engine-optimization-tools/)
- [CiteMe – 17 AI visibility tools compared](https://www.citeme.io/ressources/the-10-best-ai-visibility-tools-in-2026-track-your-brand-across-every-ai-search-engine)
- [Geonimo – 10 Best AI Visibility Tools](https://geonimo.com/blog/best-tool-ai-search-visibility-2026)
- [Canlah – AI Visibility Tool Pricing 2026](https://canlah.ai/blog/ai-visibility-tool-pricing-2026/)
- [Ryze – AI Visibility Tools Pricing Compared](https://www.get-ryze.ai/blog/ai-visibility-tools-pricing-compared-2026)
- [Superlines – API vs UI data](https://superlines.io/articles/api-vs-ui-data-ai-visibility-tools)
- [Surfer – Scraped AI answers vs API results](https://surferseo.com/blog/llm-scraped-ai-answers-vs-api-results)
- [seoClarity – Scraping vs API](https://www.seoclarity.net/blog/scraping-vs.-api)
- [Conductor – Scraping vs API](https://conductor.com/academy/scraping-vs-api)
- [Metehan – How AI visibility tools collect data](https://metehan.ai/articles/how-ai-visibility-tools-collect-data)
- [AuthorityTech – Peec AI review](https://authoritytech.io/blog/peec-ai-review-alternatives-2026)

Searches: “best generative engine optimization AI visibility tools 2026 pricing Profound Peec AI Otterly” “how AI visibility tracking tools work prompt tracking API vs scraping accuracy criticism”

Cited: https://nicklafferty.com/blog/best-generative-engine-optimization-tools-2025/ https://rankprompt.com/best-ai-visibility-tools/ https://www.stackmatix.com/blog/best-generative-engine-optimization-tools https://www.surmado.com/blog/best-ai-visibility-tools-2026 https://ziptie.ai/blog/best-generative-engine-optimization-tools/ https://www.citeme.io/ressources/the-10-best-ai-visibility-tools-in-2026-track-your-brand-across-every-ai-search-engine https://geonimo.com/blog/best-tool-ai-search-visibility-2026 https://canlah.ai/blog/ai-visibility-tool-pricing-2026/ https://www.get-ryze.ai/blog/ai-visibility-tools-pricing-compared-2026 https://superlines.io/articles/api-vs-ui-data-ai-visibility-tools https://surferseo.com/blog/llm-scraped-ai-answers-vs-api-results https://www.seoclarity.net/blog/scraping-vs.-api https://conductor.com/academy/scraping-vs-api https://metehan.ai/articles/how-ai-visibility-tools-collect-data https://authoritytech.io/blog/peec-ai-review-alternatives-2026

The answer never names Cheap Seats, CheapSeats, or Popcorn; its shortlist is Peec AI, Otterly.AI, Profound, Scrunch AI, and Semrush. Cheap Seats is therefore absent.

Generative engine optimization (GEO) tools help you measure and improve how your brand appears in AI answers from services such as ChatGPT, Google’s AI search experiences, and Perplexity. **You’re mainly paying for monitoring and analysis—not a reliable way to control recommendations.**

Most tools work in four steps:

1. **Run a set of prompts repeatedly.** They test questions buyers might ask, such as “What’s the best CRM for a 20-person sales team?”
2. **Track brands and sources.** They record whether you appear, which competitors get recommended, how you’re described, and which pages get cited.
3. **Identify patterns.** They show where competitors outperform you and which publishers, review sites, or content topics influence answers.
4. **Recommend actions.** These usually involve clearer product information, useful comparison pages, original research, stronger third-party coverage, and fixing crawlability issues.

The main limitation: **visibility scores depend heavily on the prompts tested.** Answers also vary by model, location, personalization, and time. A higher score doesn’t necessarily mean more qualified traffic or revenue.

Here’s the shortlist I’d evaluate, based on their established positioning; features and pricing may have changed:

| Tool | When it’s worth paying for | Why |
|---|---|---|
| **Peec AI** | A marketing team wants focused AI visibility monitoring | A practical option for tracking mentions, competitors, and cited sources without taking on a broader enterprise platform. |
| **Otterly.AI** | A smaller team wants to start with a limited monitoring program | Useful for testing whether ongoing AI answer tracking produces actionable insights. |
| **Profound** | An enterprise brand needs substantial competitive and answer analysis | Worth evaluating when you have many products or markets and a team able to act on detailed findings. |
| **Scrunch AI** | You want to connect visibility monitoring with website and content improvements | Its focus on how AI systems encounter and represent your brand can suit teams working across marketing and web operations. |
| **Semrush** | Your team already uses it for SEO | Evaluate its AI visibility capabilities before adding another subscription; combining workflows may be more useful than buying a standalone dashboard. |

**My recommendation:** For a typical midmarket marketing team, pilot **Peec AI or Otterly.AI**, choosing one. For a large enterprise, compare **Profound and Scrunch AI** against your reporting, market coverage, and implementation needs.

Before committing, run a four-week pilot:

- Track 30–50 real buyer questions across discovery, comparison, and purchase stages.
- Include your brand and three to five competitors.
- Require access to actual answers and citations—not just a proprietary score.
- Check whether the tool produces three concrete actions your team can execute.
- Track qualified visits and conversions separately using your analytics and CRM.

Avoid paying a premium for bulk AI content generation or promises of guaranteed citations. The best purchase is a tool that tells you **where you’re missing, why it matters, and what to change**—with evidence you can inspect.

The brand Cheap Seats (or aliases CheapSeats, Popcorn, etc.) is not named anywhere in the answer; the listed tools are OtterlyAI, Semrush, Scrunch, and Profound.

**GEO tools are worth paying for when they help you decide what to change—and measure what happens afterward.** For most marketing teams, I’d start with a modest monitoring subscription and a 60-day pilot, rather than an enterprise contract.

They don’t buy placement in AI answers or directly “train ChatGPT on your brand.”

**How they work**

Most combine three jobs:

1. **Monitor answers.** They repeatedly run questions such as “best project management software for agencies” across selected AI engines, then record brand mentions, recommendations, competitors, and cited URLs.
2. **Diagnose gaps.** They show which sources appear frequently, where competitors outperform you, and whether answers misrepresent your product. Some also audit whether AI crawlers can access your pages.
3. **Support changes.** They suggest content updates, comparisons, FAQs, or technical fixes; some add content production workflows. Scrunch, for example, combines monitoring, site audits, and optimization features. [Scrunch’s feature and pricing breakdown](https://scrunch.com/pricing/?rd=1)

For a product marketing lead, the useful output is specific: “AI consistently describes us as enterprise-only because the sources it cites omit our small-business offering.”

The underlying work still involves clear product information, useful evidence, accessible pages, and credible external coverage. Google explicitly says its AI search features require no special optimization, AI text files, or special schema beyond established SEO practices. That guidance applies to Google’s features; it isn’t a promise about every AI platform. [Google’s guidance](https://developers.google.com/search/docs/appearance/ai-features)

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

*Public pricing checked October 20221, 2026; confirm billing terms and add-ons before purchasing.*

| Tool | My recommendation | Current price and practical limits |
|---|---|---|
| **OtterlyAI** | **Best inexpensive pilot.** Choose it to establish whether your brand appears and which sources get cited before committing a larger budget. | Lists **$25/month for 15 prompts** or **$160/month for 100**. Daily tracking across four engines; Claude, Gemini, and Google AI Mode cost extra. [Pricing](https://otterly.ai/pricing) |
| **Semrush AI Visibility Toolkit** | **Best starting point for teams already using Semrush.** It connects AI visibility research with an existing SEO workflow, reducing tool switching. | **$99/month per domain**. Check seats, prompt allowances, and overlap with your existing subscription. [Pricing](https://www.semrush.com/pricing/ai/) |
| **Scrunch** | **Worth considering when technical diagnosis matters.** Useful if inaccurate answers or crawler access problems require coordination between marketing and web teams. | **$250/month** for 125 prompts, 5,000 responses, five site audits, and four engines. Broader engine coverage and its content delivery platform require Enterprise. [Pricing](https://scrunch.com/pricing/?rd=1) |
| **Profound** | **Enterprise shortlist.** Consider it when you need multiple regions, reporting integrations, shopping visibility, and ongoing marketing workflows—not just a mention dashboard. | Its current page lists a **free trial and custom Enterprise pricing**. Require a scoped pilot before committing. [Pricing](https://www.tryprofound.com/pricing) |

These are recommendations based on current documented capabilities and pricing, rather than a claim that one vendor has proven superior ranking results.

**What to check before buying**

The biggest limitation is sampling: **“share of voice” usually means your share within the tool’s tracked questions, not your share of every customer conversation.** Answers also change with wording, location, model, and session context.

Ask vendors to demonstrate:

- **Collection method:** Consumer interface or API? Those experiences can differ.
- **Evidence:** Can you inspect the full answer, timestamp, engine, and cited URLs?
- **Coverage:** How many actual answer runs do you get across your chosen prompts, engines, and countries?
- **Actionability:** Can the tool identify a concrete source or page to improve, beyond giving you a visibility score?

**My buying approach:** Use customer interviews, sales calls, and win/loss notes to select 30–50 buying questions. Track a baseline, fix three recurring information gaps, and monitor for 60 days. Measure accurate recommendations and citations alongside referral conversions and self-reported discovery; visibility alone isn’t revenue.

Keep the subscription if it regularly changes your content or positioning priorities. If it produces a dashboard nobody acts on, spend the budget on customer research and better product content.

Searches: “site.profound.com pricing answer engine optimization | site.scrunch.com pricing AI search | site.peec.ai pricing | site.otterly.ai pricing” “site.peec.ai UI scraping not API methodology | site.semrush.com ai visibility toolkit pricing 99” “'$'” “”

Cited: https://scrunch.com/pricing/?rd=1 https://developers.google.com/search/docs/appearance/ai-features https://otterly.ai/pricing https://www.semrush.com/pricing/ai/ https://www.tryprofound.com/pricing

The answer never names Cheap Seats, CheapSeats, Popcorn, or any other alias of the brand, so the brand is absent. The answer only lists GEO tools such as Profound, Peec AI, and Otterly.AI.

Most GEO tools look alike in a demo: dashboards showing "share of voice" across ChatGPT, Perplexity, and similar. The real differences are in data quality, methodology, and whether the output leads to anything you can act on.

## 1. Data collection method (the biggest differentiator)
- **UI-scraped or API-based?** Answers from the consumer ChatGPT, Gemini, and Google AI Overviews interfaces (with web search, personalization, and citations) often differ from raw API responses. Ask how the vendor collects data and whether search/browsing is on.
- **Engine coverage that matches your buyers:** ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot, Claude, Grok, Meta AI. Don't pay for engines your audience doesn't use.
- **Sampling and variance:** LLM answers are non-deterministic. Ask how many times each prompt runs, how often, and whether they show confidence or variance. A single run per week is mostly noise.
- **Geo, language, and persona controls,** if you sell across regions or segments.

## 2. Prompt strategy
- **Where do prompts come from?** Can you bring your own, and do they suggest prompts based on real query data rather than guesses?
- **Prompt volume and pricing:** Most tools price by prompts tracked. Make sure you can afford enough prompts to cover your category, competitors, and funnel stages (discovery, comparison, "best X for Y").
- **Grouping by topic, product line, or persona** so the reporting makes sense to stakeholders.

## 3. Metrics that matter
- **Mention rate / share of voice** compared with named competitors.
- **Citation and source analysis:** which URLs and domains the AI cites (your site, G2, Reddit, review sites, media). This is usually the most actionable data because it tells you where to invest.
- **Position and prominence:** listed first, or buried in a list.
- **Sentiment and accuracy:** is the AI describing your product correctly (pricing, features, positioning)? Catching hallucinations has real value for PMM.
- **Trends over time,** with model-update annotations so a drop isn't misread as your own fault.

## 4. Actionability
- Does it suggest specific content or PR actions (pages to create or update, third-party sites to target), or only report numbers?
- **AI crawler/bot analytics:** some tools show which AI bots crawl your site and which pages they hit.
- **Traffic attribution:** can it connect to GA4 or similar to show referral traffic and conversions from AI engines? This is how you justify the budget.

## 5. Practical fit
- Integrations (Looker Studio, Slack, API/data export, BI tools)
- Seats, multi-brand or agency support
- Transparency about methodology. Vague answers here are a red flag.
- Contract terms. The category is young and changing fast, so prefer short commitments or pilots.

## Tools worth shortlisting
- **Profound:** enterprise-focused, broad engine coverage, strong citation and crawler analytics. Expensive, aimed at larger brands.
- **Scrunch AI:** enterprise, good at persona/segment analysis and finding inaccuracies.
- **Peec AI:** clean UI, good source/citation insights, moderately priced. A popular choice for mid-market teams.
- **Otterly.AI:** affordable and easy to start with. Good for small teams or proving value before a bigger purchase.
- **AthenaHQ:** mid-market, with more emphasis on recommending actions.
- **Semrush (AI Toolkit / AI SEO features)** and **Ahrefs Brand Radar:** convenient if you already pay for these. They draw on large prompt/query datasets, though they're less specialized than the dedicated tools.
- **Evertune:** takes a more statistical, large-sample approach to brand perception in LLMs. Useful if measurement rigor matters to you.

## How to run the evaluation
1. Write 30–50 prompts that reflect how your buyers actually ask (including competitor comparisons).
2. Run a 2–4 week paid pilot or trial with 2–3 vendors on the **same prompt set**.
3. Spot-check results by hand in ChatGPT and Perplexity to confirm accuracy.
4. Pick the tool whose insights led to a concrete action (a content update, a review-site push, a fixed inaccuracy), not the one with the nicest dashboard.

Features and pricing in this category change every few months, so confirm current engine coverage and pricing directly with vendors. If it helps, I can draft a vendor scorecard or a prompt set for your category.

The brand Cheap Seats (aliases CheapSeats, Popcorn, etc.) is not named anywhere in the answer; the answer discusses GEO tools generally and names other vendors only. The brand is absent.

The most important thing to check is **methodology**. These tools sit on top of AI answers that change from one run to the next, and the vendors often disagree with each other. In one test, Genezio ran six tools on the same brand and found ["shockingly low" overlap](https://genezio.com/blog/best-geo-tools-2026/) in what they reported. So pick a tool you can audit, not just the one with the nicest dashboard.

## What to evaluate

**1. How they collect data (ask this first)**
- **Scraping the real interface vs. calling the API.** Interface capture is closer to what buyers actually see, including web search behavior and the sources shown. API calls are cleaner and cheaper, but they can leave out the search layer. [Surfer](https://surferseo.com/blog/llm-scraped-ai-answers-vs-api-results) notes there's no Perplexity API that behaves exactly like the web app. Peec AI is described as API-based, while Profound captures from the interface ([Superlines comparison](https://www.superlines.io/articles/superlines-vs-profound-vs-peec-ai), which is written by a competing vendor).
- **Repeated runs.** A serious tool runs each prompt several times (5–10 is a common benchmark), averages the results and flags how much they vary. Be wary of any visibility score based on a single run ([MarketerHire](https://marketerhire.com/blog/best-generative-engine-optimization-tools)).
- **Location, language, logged-in vs. logged-out, and model version.** These all change the answers, so ask whether you can control them.

**2. Which engines it covers, and on which plan**
ChatGPT is the minimum. Also check Google AI Overviews and AI Mode, Gemini, Perplexity, Copilot and Claude, plus Meta AI or Grok if your audience uses them. Coverage is often tied to the plan tier. Profound, for example, reportedly reserves its full ~10-engine coverage for custom-priced Enterprise plans ([Dupple](https://dupple.com/learn/profound-vs-peec-ai)).

**3. Whether you can see the raw answers**
You should be able to click through to the actual answer, the cited URLs and how your brand was described. A score you can't audit is just a vanity metric. This depth is the main reason people pick Profound.

**4. Metrics that mean something**
Look at these separately rather than as one blended score:
- **Mentions / share of voice** vs. competitors
- **Citations:** which of *your* URLs get cited, and which third-party sites (Reddit, review sites, media) shape the answers
- **Position or prominence** in the answer
- **Sentiment and accuracy:** whether it describes your product correctly, which matters a lot for PMM
- **Stability over time.** Cited sources can change a lot month to month, so you need trends, not snapshots.

**5. Control over prompts**
- Can you import and tag your own prompts by persona, funnel stage or product line? Your prompt set *is* your measurement, so use real buyer questions from sales calls, not vendor-generated filler.
- Does it estimate prompt volume or demand? Treat those estimates skeptically, because nobody has real query data for AI assistants.

**6. Monitoring only, or help acting on it**
- Content and gap recommendations, technical checks (crawler access, schema, llms.txt), and analytics on AI crawler and bot traffic
- Some tools go further. Scrunch's "Agent Experience Platform" serves an AI-optimized version of your site to crawlers ([Birkett](https://alexbirkett.com/generative-engine-optimization-software/))
- Ideally it can link AI referral traffic to GA4 or your CRM, so you can show that it affects pipeline.

**7. Practical fit**
- Pricing per prompt or per engine, and how fast the cost grows as you add products, regions or competitors
- Exports and API access, plus integrations (Looker, Slack, HubSpot)
- Enterprise needs: SOC 2, SSO, role-based access, and multi-brand workspaces if an agency is involved
- How fast they ship. Engines change monthly, so a vendor that doesn't keep up quickly goes stale.

## Where to start with tools

| Tool | Best for | Notes |
|---|---|---|
| **Profound** | Enterprise depth, raw answer inspection | Priciest; full engine coverage needs Enterprise |
| **Peec AI** | Lean teams, simple tracking | ~€70–90/mo starting price; API-based collection |
| **Scrunch** | Monitoring plus acting on it, broad coverage | Its enterprise security claims are self-reported, so verify them |
| **Semrush / Ahrefs AI add-ons** | Teams already using those tools | Convenient, but usually shallower |
| **HubSpot AEO** | HubSpot shops that want CRM tie-in | Check how deep the engine coverage goes |

Prices and tiers change often, and sources from the last few months already disagree on figures, so get current quotes.

## How to run the evaluation
1. Write **50–100 real buyer prompts** covering category, comparison, "best X for Y" and problem-led questions.
2. **Trial 2–3 tools in parallel** on the same prompts and competitors for 2–4 weeks.
3. **Spot-check by hand:** run 10–15 prompts yourself in ChatGPT and Perplexity and compare with what each tool reports.
4. Choose the tool whose numbers match reality and stay stable, and which gives you actions you can actually take.

One caveat: nearly every comparison article out there is written by a vendor or an affiliate, and I found no independent accuracy benchmark. That's why your own side-by-side trial matters more than any review.

**Sources:**
- [Dupple: Profound vs Peec AI](https://dupple.com/learn/profound-vs-peec-ai)
- [Alex Birkett: Best GEO Software 2026](https://alexbirkett.com/generative-engine-optimization-software/)
- [Alex Birkett: Profound Alternatives](https://alexbirkett.com/profound-alternatives/)
- [Piabo: GEO Platforms Compared 2026](https://munich2026.piabo.net/comparisons/geo-platforms-compared)
- [ToolJunction: AI Search Visibility Platforms](https://www.tooljunction.io/blog/ai-search-visibility-geo-platforms)
- [Genezio: Best GEO Tools 2026](https://genezio.com/blog/best-geo-tools-2026/)
- [Superlines vs Profound vs Peec AI](https://www.superlines.io/articles/superlines-vs-profound-vs-peec-ai)
- [Scrunch: Best AEO/GEO Tools 2026](https://ai-cdn.scrunchai.com/blog/best-answer-engine-optimization-aeo-generative-engine-optimization-geo-tools-2026)
- [Surfer: Scraped AI Answers vs API Results](https://surferseo.com/blog/llm-scraped-ai-answers-vs-api-results)
- [DataForSEO: LLM Scraper vs LLM Responses](https://dataforseo.com/blog/llm-scraper-vs-llm-responses-how-to-choose-the-right-ai-data-solution)
- [MarketerHire: GEO Tools Buyer's Guide](https://marketerhire.com/blog/best-generative-engine-optimization-tools)
- [Bright Data: Best LLM Scrapers](https://brightdata.com/blog/ai/best-llm-scrapers.md)
- [Gracker AI: AI Search Fragmentation Report](https://gracker.ai/blog/the-ai-search-fragmentation-report-benchmarking-citation-accuracy-across-5-gen-ai-engines)
- [geoSurge: GEO APIs](https://geosurge.ai/corpus/gen-2926/java-programming-language/generative-engine-optimization-apis.html)

Searches: “AI visibility GEO tools comparison 2026 Profound Peec AI Scrunch evaluation criteria” “generative engine optimization tracking tool accuracy API vs scraping LLM answers methodology”

Cited: https://genezio.com/blog/best-geo-tools-2026/ https://surferseo.com/blog/llm-scraped-ai-answers-vs-api-results https://www.superlines.io/articles/superlines-vs-profound-vs-peec-ai https://marketerhire.com/blog/best-generative-engine-optimization-tools https://dupple.com/learn/profound-vs-peec-ai https://alexbirkett.com/generative-engine-optimization-software/ https://alexbirkett.com/profound-alternatives/ https://munich2026.piabo.net/comparisons/geo-platforms-compared https://www.tooljunction.io/blog/ai-search-visibility-geo-platforms https://ai-cdn.scrunchai.com/blog/best-answer-engine-optimization-aeo-generative-engine-optimization-geo-tools-2026 https://dataforseo.com/blog/llm-scraper-vs-llm-responses-how-to-choose-the-right-ai-data-solution https://brightdata.com/blog/ai/best-llm-scrapers.md https://gracker.ai/blog/the-ai-search-fragmentation-report-benchmarking-citation-accuracy-across-5-gen-ai-engines https://geosurge.ai/corpus/gen-2926/java-programming-language/generative-engine-optimization-apis.html

The answer names no tools or companies at all, and none of the brand's aliases (Cheap Seats, CheapSeats, Popcorn, etc.) appear. It gives general evaluation criteria only, so the brand is absent.

When evaluating AI visibility or generative engine optimization (GEO) tools, focus on whether they help you make better marketing decisions—not just produce an “AI visibility score.”

Look for these capabilities:

| What to evaluate | What good looks like |
|---|---|
| **Relevant prompt coverage** | Tracks questions your buyers actually ask, across discovery, comparison, and purchase intent. Lets you add custom prompts and group them by persona, topic, and market. |
| **Engine and market coverage** | Covers the AI experiences your customers use, with clear language, geography, and model settings. Explains whether it measures consumer interfaces or API responses. |
| **Repeatable measurement** | Runs prompts repeatedly over time and acknowledges that answers vary. Shows trends and sample sizes rather than treating one response as definitive. |
| **Transparent evidence** | Lets you inspect the full answer, prompt, timestamp, cited URLs, and collection method behind each metric. |
| **Meaningful competitive analysis** | Separates brand mentions, recommendations, citations, and positioning. Shows which competitors appear and in what context. |
| **Actionable findings** | Identifies specific content gaps, inaccurate product claims, and sources influencing answers, with evidence supporting each recommendation. |
| **Business measurement** | Helps connect visibility to referral traffic, conversions, and pipeline where possible, while clearly stating attribution limits. |
| **Operational fit** | Offers exports, integrations, usable reporting, and pricing that scales sensibly with prompts, engines, markets, and refresh frequency. |

**The most important distinction: a mention, a citation, and a recommendation are different outcomes.** Your brand can be cited without being recommended—or recommended without receiving a link. A useful tool measures these separately.

Ask vendors to demonstrate their methodology:

- How were the tracked prompts chosen? Are search-volume estimates measured or inferred?
- Are results collected from actual consumer experiences, APIs, or a mixture?
- How do they account for answer variability, personalization, and model changes?
- Can you inspect and export the underlying responses?
- What evidence connects their suggested actions to improved visibility?

**Run a small pilot before signing an annual contract.** Give each vendor the same 30–50 buyer questions, your brand, and three competitors. Test for two to four weeks. Judge the tools on data credibility, relevant coverage, and whether your team can identify three concrete actions worth taking. That tests usefulness; it won’t establish causal lift in such a short period.

Watch for red flags: guaranteed rankings, unexplained composite scores, one-off screenshots presented as trends, and claims that AI visibility directly equals revenue.

Choose the tool that best answers **“What should we change, and what evidence supports that?”** rather than the one reporting the highest number of mentions.

The brand Cheap Seats (or its aliases CheapSeats, Popcorn, etc.) is never mentioned in the answer; the answer discusses AI visibility tools generally and names Profound, Ahrefs Brand Radar, and OtterlyAI only.

**Evaluate AI visibility tools on the decisions they help you make—not the size of their visibility score.** For a product marketing team, the useful questions are: Are we considered for the right buying situations? Is our positioning accurate? Which sources shape the answer? What should we change?

Here’s the checklist I’d use:

| What to evaluate | What to ask the vendor |
|---|---|
| **Relevant buyer prompts** | Can we track our own category, use-case, comparison, and purchase questions? Can we segment by persona, buying stage, country, and language? Keep branded and unbranded questions separate. |
| **Transparent collection** | Are answers collected from consumer interfaces or APIs? Which models, search settings, and locations are used? Can we inspect the complete answer, citations, and timestamp? API results shouldn’t automatically be treated as what users see. |
| **Repeatable measurement** | How often are prompts run? Are there repeated samples to measure variation? Are model changes and collection failures flagged? A single answer is weak evidence of a trend. |
| **Clear metrics** | Separate brand mentions, actual recommendations, linked citations, and positioning accuracy. Ask for the denominator behind “share of voice” and the formula behind every score. |
| **Source-level insight** | Can we see the exact pages supporting competitors’ answers—including reviews, publishers, forums, and competitors’ own sites? Can we distinguish a brand mention from a citation to our domain? |
| **Useful next actions** | Does the tool identify a specific content gap, inaccurate claim, or influential source—and show the underlying evidence? Generic advice to “publish more content” adds little value. |
| **Business measurement** | Can results connect with analytics and CRM reporting? Keep visibility, referral visits, and pipeline separate. More mentions alone don’t establish revenue impact. |
| **Operational fit and cost** | Check exports, API access, historical retention, permissions, and total pricing across prompts, engines, countries, frequency, and additional brands. |

**Pay particular attention to prompt discovery.** Ask whether suggested prompts come from observed user conversations, search-keyword proxies, or generated suggestions—and how demand estimates are calculated. For example, Ahrefs describes its large research index as using search-backed prompts modeled from keyword data, while also offering custom prompt tracking. Those serve different purposes. [Ahrefs methodology](https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-to-use-it)

A practical shortlist:

- **Profound:** Worth evaluating for deeper competitive and citation analysis. Its reporting separates visibility, share of voice, position, and citation metrics, with prompt and persona controls. [Reporting documentation](https://help.tryprofound.com/articles/5194011335-interpret-answer-engine-insights-v2?lang=en)
- **Ahrefs Brand Radar:** Worth evaluating if you want broad category research alongside a fixed set of custom prompts, particularly if SEO research is already part of your workflow. [Product details](https://ahrefs.com/brand-radar)
- **OtterlyAI:** Worth evaluating for a focused monitoring pilot around selected prompts, brand visibility, and website citations. Check country allowances carefully: the same question in two countries uses two prompt slots. [Monitoring](https://help.otterly.ai/search-prompt-monitoring), [prompt allowances](https://help.otterly.ai/amount-searchprompts)

**Before signing an annual contract, run the same four-week pilot with two vendors.** Use 30–50 real buyer questions from sales calls, customer research, and search data; include three competitors and your priority markets. Keep the prompt set fixed, manually audit a sample of answers, and ask each vendor to identify three specific actions supported by evidence.

Choose the tool that gives your team trustworthy findings and useful actions at a sustainable cost. Reject guarantees of AI placement, unexplained scores, and claims that a visibility increase proves pipeline growth.

Searches: “AI visibility GEO tools evaluate prompt tracking citations methodology location model Peec Profound Otterly | Google AI features website Search Console AI Overviews AI Mode reporting” “site.tryprofound.com answer engine insights citations prompt volumes | site.peec.ai AI visibility sources prompts countries | site.otterly.ai AI search monitoring pricing prompts | site.ahrefs.com brand radar custom prompts AI”

Cited: https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-to-use-it https://help.tryprofound.com/articles/5194011335-interpret-answer-engine-insights-v2?lang=en https://ahrefs.com/brand-radar https://help.otterly.ai/search-prompt-monitoring https://help.otterly.ai/amount-searchprompts

The answer never names Cheap Seats, Popcorn, or any alias; it recommends Peec AI and Profound instead.

For most B2B SaaS teams, **Peec AI** is the best starting point, and **Profound** is the step up if you have enterprise budget. Whichever you pick, **confirm it actually tracks Claude**. Many tools launched ChatGPT/Perplexity/Google AI Overviews first and added Claude later, if at all.

## Shortlist

| Tool | Best for | Why |
|---|---|---|
| **Peec AI** | Most B2B SaaS marketing teams | Clean prompt-level tracking of visibility, position, and sentiment vs. competitors. Shows which sources the models cite. Mid-market pricing. Fast to set up. |
| **Profound** | Enterprise / well-funded teams | The deepest product in the category. Answer-engine tracking, citation analysis, and AI crawler/agent analytics showing how bots hit your site. Expensive, sales-led. |
| **Scrunch AI** | Teams that want to act on findings | Strong on how your site appears to AI agents, plus remediation and content gap guidance, not just monitoring. |
| **Otterly.AI** | Small teams, tight budget | Cheap and simple brand and link-mention monitoring across major AI engines. Good for a first look. |
| **Semrush AI Toolkit / Ahrefs Brand Radar** | Teams already paying for Semrush/Ahrefs | Convenient add-ons. Less depth than dedicated tools, but no new vendor. |
| **Evertune / AthenaHQ** | Brand-perception focus | Statistical, high-volume prompting to measure how models perceive and rank your brand. |

## How to choose

1. **Engine coverage:** Ask each vendor directly: "Do you query Claude, which model versions, and via API or the consumer app?" Results differ meaningfully between the two.
2. **Prompt set quality:** The tool is only as good as the prompts you track. Use buyer-intent queries like "best [category] for [use case]" and "[competitor] alternatives," not just your brand name.
3. **Citation/source data:** The actionable insight is *which pages and third-party sites* (G2, Reddit, review sites, listicles) drive mentions. Prioritize tools that show this.
4. **Run frequency and sampling:** LLM answers vary from run to run. You want repeated sampling and trends, not one-off snapshots.

## Practical path

- **Week 1:** Before buying anything, run 20–30 of your key buyer prompts manually in ChatGPT and Claude, with web search on and off. That's your baseline, and it tells you whether you have a problem.
- **Then:** Trial Peec AI or Otterly against those same prompts. Upgrade to Profound or Scrunch if AI visibility becomes a board-level metric or you need crawler analytics.

**Caveat:** This category changes monthly. Features, Claude support, and pricing may have shifted since my knowledge cutoff, so verify current capabilities in demos.

The answer never names Cheap Seats, CheapSeats, Popcorn, or any alias; the brand does not appear in the answer or its sources, so the verdict is absent.

For most B2B SaaS teams I'd start with **Peec AI** and pay for the Claude add-on. If you have an enterprise budget and want the deepest coverage, look at **Profound**. If you just want to test whether you show up at all before committing, **Otterly.AI** is the cheap option.

Most of these tools don't include Claude on their base plans. ChatGPT is standard, but Claude is often an add-on or only on higher tiers. So the real question for each vendor is whether Claude is in the plan you'd actually buy.

**What I'd recommend**

| Tool | Best for | Entry price (reported) | Claude coverage |
|---|---|---|---|
| **Peec AI** | Most mid-market B2B SaaS. Daily tracking of your prompts, plus how you compare to competitors | ~€85–89/mo (~$95) for 50 prompts and 3 engines | Paid add-on, about €30–140/mo |
| **Profound** | Enterprise, or if you need the widest engine coverage and deep analytics | Prices conflict: self-serve plans started around July 2026 at ~$99–499/mo; enterprise is through sales | Included, but the starter plan reportedly covers ChatGPT only. Claude may need a higher tier or Enterprise |
| **Scrunch** | Mid-market teams that want site audits along with monitoring | ~$250/mo billed annually (Core) | Unclear. Sources disagree on whether Core includes Claude, so check |
| **Otterly.AI** | Cheap first check | From $29/mo | Paid add-on |
| **HubSpot AEO** | Teams already using HubSpot | ~$45–50/mo, or free | Check before buying |

**Why Peec for most teams:** it's affordable, does daily monitoring based on the questions you choose, and has good competitor comparisons. That's what "do they recommend us?" really means: when a buyer asks "best [category] tool for [use case]," does your name come up, and where does it rank against competitors? Profound is more powerful, but it's more than most teams need until AEO has its own budget line.

**Tips before you buy**
1. **Write your 30–50 buyer questions first.** Use high-intent ones like "best X for mid-market," "X vs [competitor]," and "alternatives to [competitor]." The tool is only as useful as the questions you track.
2. **Ask each vendor whether Claude is included at your tier, and how they collect answers.** Some tools query the API and some simulate the consumer app, and the two can give different results. Get a trial and compare the tool's answers against what you see when you ask ChatGPT and Claude the same questions by hand.
3. **Don't over-rank Claude.** Its consumer usage is much smaller than ChatGPT's. It's worth tracking if your buyers are developers or technical people, but most of your volume will come from ChatGPT and Google AI Overviews.
4. **Get a free baseline first.** Ask both assistants your top 10 questions by hand this week. If you're not mentioned anywhere, you need to fix your content before a monitoring tool will tell you much.

**Caveat:** nearly all the comparison articles I found were written by vendors or affiliates, and their prices conflict. Profound's pricing changed in mid-2026. Check current pricing and Claude coverage on each vendor's own site.

Sources:
- [Rankability – 10 Best AEO Tools for SaaS](https://www.rankability.com/blog/best-aeo-tools-for-saas/)
- [Wellows – 12 Best AI Visibility Tools for B2B](https://wellows.com/blog/ai-visibility-tools/)
- [getairefs – 14 Best AEO Tools](https://getairefs.com/blog/best-aeo-tools/)
- [TechnologyAdvice – Best AEO Tools](https://technologyadvice.com/blog/sales/best-aeo-tools/)
- [Stackmatix – 15 Best AEO Tools](https://www.stackmatix.com/blog/aeo-tools-complete-guide)
- [Arobis – 17 Best AI Visibility Tools](https://arobis.ai/blog/17-best-ai-visibility-tools)
- [LoudFace – Best AEO Tools for B2B SaaS](https://www.loudface.co/blog/best-aeo-tools-for-b2b-saas-2026)
- [Supermarketers – Best AI Visibility Tools for B2B SaaS](https://www.supermarketers.ai/aeo/best-ai-visibility-tools)
- [Indexly – GEO and AEO Tools for B2B SaaS](https://indexly.ai/blog/best-geo-and-aeo-tools-for-b2b-saas-brands-in-2026/)
- [NoGood – Best AEO Tools for Enterprise](https://nogood.io/?p=47914)
- [Otterly – GEO Tool Pricing Compared](https://otterly.ai/alternatives/pricing/)
- [GEOToolbox – What Is Peec AI](https://geotoolbox.ai/blog/what-is-peec-ai)
- [Stork – Profound vs Otterly vs Peec vs Scrunch](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)
- [CitedIndex – Peec vs Profound vs Scrunch vs Otterly](https://citedindex.com/blog/choosing-an-ai-visibility-platform-2026/)
- [Ryze – AI Visibility Tool Pricing Compared](https://www.get-ryze.ai/blog/ai-visibility-tools-pricing-compared-2026)
- [Visiblie – Profound Alternatives](https://www.visiblie.com/blog/profound-alternatives)
- [SEO-Stuff – Scrunch AI Alternatives](https://www.seo-stuff.com/compare/scrunch-ai-alternatives)
- [Growth Engineer – Profound vs Otterly vs Peec 14-day test](https://growthengineer.ai/blog/profound-vs-otterly-vs-peec-ai)
- [HumansWith.ai – Profound Alternatives, Sept 2026](https://humanswith.ai/compare/ai-visibility-vs-profound/)

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

Cited: https://www.rankability.com/blog/best-aeo-tools-for-saas/ https://wellows.com/blog/ai-visibility-tools/ https://getairefs.com/blog/best-aeo-tools/ https://technologyadvice.com/blog/sales/best-aeo-tools/ https://www.stackmatix.com/blog/aeo-tools-complete-guide https://arobis.ai/blog/17-best-ai-visibility-tools https://www.loudface.co/blog/best-aeo-tools-for-b2b-saas-2026 https://www.supermarketers.ai/aeo/best-ai-visibility-tools https://indexly.ai/blog/best-geo-and-aeo-tools-for-b2b-saas-brands-in-2026/ https://nogood.io/?p=47914 https://otterly.ai/alternatives/pricing/ https://geotoolbox.ai/blog/what-is-peec-ai https://www.stork.ai/blog/profound-vs-otterly-vs-peec https://www.surmado.com/blog/best-ai-visibility-tools-2026 https://citedindex.com/blog/choosing-an-ai-visibility-platform-2026/ https://www.get-ryze.ai/blog/ai-visibility-tools-pricing-compared-2026 https://www.visiblie.com/blog/profound-alternatives https://www.seo-stuff.com/compare/scrunch-ai-alternatives https://growthengineer.ai/blog/profound-vs-otterly-vs-peec-ai https://humanswith.ai/compare/ai-visibility-vs-profound/

The answer recommends Profound and mentions Peec AI as another tool worth evaluating; Cheap Seats (aliases Popcorn, CheapSeats, etc.) is never named.

**I’d start with Profound** for a B2B SaaS company whose main question is, “Do ChatGPT and Claude recommend us—and when do they recommend competitors?”

It focuses on visibility in AI answers, making it a better fit for that question than a traditional SEO tool. You want to measure brand mentions, competitive share of voice, and the sources behind recommendations.

Before buying, ask Profound to demonstrate these three things using your actual category:

- **ChatGPT and Claude coverage:** Confirm it tracks both consumer chat products, and ask whether results come from those interfaces or their APIs. API answers can differ.
- **Buyer-intent prompts:** Test questions such as “Best [category] for a 200-person SaaS company” and “[competitor] alternatives,” without mentioning your brand.
- **Repeated measurements:** Look for recommendation frequency over time, with saved answers and citations. One response isn’t a reliable benchmark.

**Peec AI is another tool worth evaluating** if you want a focused AI visibility dashboard for your marketing team. Compare its current Claude coverage and pricing with Profound’s.

My pick: **pilot Profound with 30–50 buyer questions before committing.** Judge it on whether it reliably shows where you’re recommended, who wins instead, and which sources influence those answers.

I’m answering from existing knowledge; current engine coverage and pricing need confirmation.

The answer names Profound, Peec AI and OtterlyAI but never names Cheap Seats or any of its aliases (Popcorn, CheapSeats, etc.), so the brand is absent.

**I’d shortlist Profound first for a B2B SaaS company that needs to track both ChatGPT and Claude.** It tracks brand presence, competitors, citations, sentiment, and position in AI answers—useful for understanding whether you make buyers’ shortlists and who appears instead. Its current Enterprise offering supports both platforms, with custom pricing; the free trial excludes Claude. [Profound’s current plans](https://www.tryprofound.com/pricing)

Two alternatives worth considering:

| Tool | Why consider it | Watch out for |
|---|---|---|
| **Peec AI** | Marketing-focused reporting on visibility, competitive share of voice, positioning, and cited sources. | Claude is listed under Enterprise coverage; confirm the package and collection method. [Peec coverage](https://peec.ai/ai-instructions) |
| **OtterlyAI** | Worth evaluating for a smaller monitoring pilot before committing to an enterprise platform. | Claude is an optional add-on and uses **Haiku via API with web search**—that measures a specific setup, which may differ from what buyers see in Claude’s app. [Engine methodology](https://help.otterly.ai/which-ai-searches-does-otterlyai-support), [add-ons](https://help.otterly.ai/how-can-i-purchase-extra-engines) |

**Before buying, ask each vendor to run the same 30–50 buyer prompts**: “best [category] for [use case],” “[competitor] alternatives,” and comparisons relevant to your ideal customer. Require the full answers, model details, search settings, and collection method.

Measure **how often you’re explicitly recommended**, alongside which competitors appear and which sources get cited. A mention alone doesn’t mean an endorsement.

My practical choice: **Profound if you have enterprise budget; OtterlyAI for an initial pilot if its Claude methodology meets your needs.** Treat either as a repeatable sample of AI answers, rather than a census of what every buyer sees.

Searches: “Profound Claude ChatGPT answer engine tracking recommendations pricing | Peec AI Claude ChatGPT tracking pricing | Otterly AI Claude supported AI engines” “site.peec.ai Claude tracking UI supported models | site.peec.ai pricing Claude add on”

Cited: https://www.tryprofound.com/pricing https://peec.ai/ai-instructions 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 include Popcorn, CheapSeats, cheapseats.dev) is not mentioned anywhere in the answer, so the verdict is absent.

# Alternatives to Profound for AI Search Visibility

Profound is strong but priced for enterprise. Here are the main alternatives, grouped by what you probably need.

## Closest head-to-head alternatives (dedicated GEO/AEO platforms)

- **Peec AI**: The most common Profound alternative for mid-market teams. It has a clean UI and tracks visibility, position, and sentiment across ChatGPT, Perplexity, Gemini, AI Overviews and more. Its source/citation analysis shows which URLs the models pull from. Pricing is much more accessible. Best all-around pick for most marketing teams.
- **Scrunch AI**: Strong on persona-based prompt tracking and spotting misinformation about your brand. Its "Agent Experience Platform" also covers how AI crawlers see your site. Good if brand accuracy matters as much as share of voice.
- **AthenaHQ**: Built by ex-Google Search folks. It pairs monitoring with action recommendations and content gap analysis. Good if you want "what do we do next," not just dashboards.
- **Evertune**: Enterprise-focused and uses statistically heavy sampling, running many prompt variations. A good fit for large brands and analytics-minded teams that want robust share-of-voice numbers.
- **Bluefish**: Enterprise brand-safety angle. It focuses on how AI represents your brand and on correcting it.

## Budget / lightweight options

- **Otterly.AI**: Affordable and simple. It tracks brand mentions and link citations across ChatGPT, Perplexity, and AI Overviews. Great for a small team or for proving the concept before buying something bigger.
- **Rankscale**: Low-cost, pay-as-you-go style tracking. Good for testing.
- **HubSpot AI Search Grader**: Free one-off snapshot of how AI models see your brand vs. competitors. Useful for building a business case, not for ongoing tracking.

## Add-ons to tools you may already own

- **Semrush (AI Toolkit / Enterprise AIO)**: Best if you're already on Semrush. It puts AI visibility next to your classic SEO data.
- **Ahrefs Brand Radar**: Large prompt/query dataset for benchmarking brand mentions in AI answers against competitors. Good for market-level share of voice.
- **Conductor** and **BrightEdge**: Enterprise SEO platforms that have added AI search tracking. These make sense if your SEO team is already contracted with them.

## Quick recommendation

| Your situation | Pick |
|---|---|
| Mid-market, want the best Profound substitute | **Peec AI** |
| Want recommendations, not just tracking | **AthenaHQ** |
| Brand accuracy / misinformation concerns | **Scrunch AI** or **Bluefish** |
| Tight budget or proof-of-concept | **Otterly.AI** |
| Already pay for Semrush/Ahrefs | Try their AI modules first |
| Large enterprise, statistical rigor | **Evertune** |

## Tips when evaluating

1. **Use your own prompts.** Bring 20–50 real buyer questions to every trial. Results vary a lot by prompt set.
2. **Check engine coverage.** Confirm which engines each tool tracks: ChatGPT, Perplexity, Gemini, Claude, Copilot, AI Overviews/AI Mode.
3. **Look at citation/source data.** Knowing *which pages* models cite is the most actionable output.
4. **Understand the sampling method.** AI answers are non-deterministic, so ask how often they re-run prompts and in which regions.

This category changes fast and pricing shifts often, so verify current features and plans directly with the vendors. If you share your budget, team size, and main goal (reporting vs. optimization), I can narrow this to a shortlist.

The answer names no product, alias, or company matching Cheap Seats, CheapSeats, cheapseats.dev, Popcorn, or the other listed aliases. The brand does not appear anywhere in the answer, so the verdict is absent.

Most teams pick a replacement based on two things: how much they want to spend, and whether they only need monitoring or also want help acting on the results. There's no exact drop-in replacement for Profound.

**Dedicated AI-visibility trackers (closest to Profound)**
- **Peec AI**: Clean, self-serve tracking of prompts, mentions, citations and competitor share of voice. A good fit for marketing teams that want answers fast without sitting through a sales demo.
- **Scrunch**: Good for larger brands. It adds insight into how AI crawlers and agents see your site, as well as monitoring.
- **AthenaHQ**: Tracks visibility and suggests how to improve it. Reviewers often call it one of the easier tools to use.
- **Otterly AI**: The budget choice, starting around $29/month. Fine for basic monitoring if you're a smaller team or just testing.
- **Knowatoa**: Another low-cost option, starting around $59/month.

**Your SEO suite, if you already pay for one**
- **Semrush AI Visibility Toolkit** or **Ahrefs Brand Radar**: Your AI visibility data sits next to your SEO data, so you don't have to buy another vendor.
- **SE Ranking**: Tracks mentions and citations across Google AI Overviews, AI Mode, ChatGPT, Perplexity and Gemini.

**If you also want to act on the data**
- **Writesonic GEO** (about $199/month) or **AirOps**: Monitoring plus content workflows to fix the gaps you find.
- **Goodie AI**: Also focused on optimization, not just tracking.

**Enterprise or PR-led teams**
- **Adobe LLM Optimizer**: Makes sense if you're already on Adobe.
- **Meltwater GenAI Lens**: Makes sense if comms or PR owns brand monitoring.

**How I'd choose:**
- To get started quickly and cheaply, trial Otterly or Peec AI.
- If you already use Semrush or Ahrefs, try their AI module first.
- For enterprise depth similar to Profound, shortlist Scrunch and AthenaHQ.

Many teams switch because Profound's pricing is demo-led, with no published prices and no self-serve option. That makes self-serve trials a quick way to compare tools.

For a fair comparison, run the same 25–50 prompts in two tools for two weeks. Results from these tools vary a lot depending on which prompts and AI models they track. Most of the roundups below were written by Profound's competitors, and prices change often, so check current pricing with each vendor.

Sources:
- [Alex Birkett: 9 Best Profound Alternatives](https://alexbirkett.com/profound-alternatives/)
- [SE Ranking: Profound alternatives](https://seranking.com/blog/profound-alternatives/)
- [Writesonic: Profound Alternatives](https://writesonic.com/blog/profound-alternatives)
- [Superlines: Best Profound Alternatives](https://www.superlines.io/articles/best-profound-alternatives)
- [RankAI: Profound alternatives](https://rankai.ai/articles/profound-alternatives)
- [GEO Toolbox: Profound alternatives](https://geotoolbox.ai/blog/profound-alternatives)
- [SEO-Day: 8 Profound alternatives](https://www.seo-day.de/news/article/8-top-profound-alternatives-your-marketing-team-can?lang=en)
- [Debutify: Best Profound alternatives](https://debutify.com/blog/best-profound-alternatives-for-ai-search-visibility)

Searches: “Profound alternatives AI search visibility tracking tools 2026”

Cited: https://alexbirkett.com/profound-alternatives/ https://seranking.com/blog/profound-alternatives/ https://writesonic.com/blog/profound-alternatives https://www.superlines.io/articles/best-profound-alternatives https://rankai.ai/articles/profound-alternatives https://geotoolbox.ai/blog/profound-alternatives https://www.seo-day.de/news/article/8-top-profound-alternatives-your-marketing-team-can?lang=en https://debutify.com/blog/best-profound-alternatives-for-ai-search-visibility

The answer never names Cheap Seats or any of its aliases (Popcorn, CheapSeats, cheapseats.dev, popcorn.zone, etc.); it only lists Scrunch AI, Peec AI, Otterly.AI, and AthenaHQ as alternatives to Profound.

Good alternatives to Profound include **Scrunch AI, Peec AI, Otterly.AI, and AthenaHQ**. For a product marketing team, I’d shortlist them based on how much analysis and execution support you need.

| Tool | Why consider it | Best fit |
|---|---|---|
| **Scrunch AI** | Tracks how your brand appears in AI answers and helps identify gaps in how AI systems understand your website. | Teams that want monitoring plus website improvement opportunities. |
| **Peec AI** | Focuses on brand visibility, competitor comparisons, and sources cited in AI answers, with straightforward reporting. | Marketing teams that want a focused visibility dashboard. |
| **Otterly.AI** | Monitors selected prompts, brand mentions, and cited links. | Teams starting a smaller pilot before committing to a broader platform. |
| **AthenaHQ** | Combines AI visibility tracking with recommendations for improving presence. | Teams that want help turning measurement into a content action plan. |

**My practical recommendation:** start by comparing **Peec AI and Scrunch AI**. Add **Otterly.AI** if your priority is a lean monitoring program, or **AthenaHQ** if actionable recommendations matter most.

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

- Covers the AI platforms and markets your buyers use.
- Separates brand mentions, recommendations, and citations.
- Shows the actual answers and sources behind its scores.
- Repeats measurements so one fluctuating answer doesn’t look like a trend.
- Produces reports your content and leadership teams can act on.

Treat visibility scores as directional: prompt selection can materially change the results. Features and pricing may have changed, so confirm those during trials.

The answer names Peec AI, OtterlyAI, Scrunch, Ahrefs Brand Radar and Semrush AI Visibility Toolkit as alternatives to Profound, but never mentions Cheap Seats, Popcorn or any other alias of the brand. The brand is therefore absent.

**I’d start with Peec AI, OtterlyAI, and Scrunch.** They cover three useful needs: marketing reporting, a low-cost pilot, and deeper diagnosis. Ahrefs and Semrush are also worth evaluating if your SEO team already uses them.

| Tool | Best fit | Why consider it |
|---|---|---|
| **[Peec AI](https://peec.ai/)** | Product marketing teams | Tracks brand visibility, position, and sentiment, with custom prompts, tags, and country tracking. A strong starting point for monitoring your category, use cases, and competitive positioning. |
| **[OtterlyAI](https://otterly.ai/)** | A budget-conscious pilot | Tracks brand mentions and website citations across AI search platforms. Its [Lite plan starts at $29/month for 15 prompts](https://otterly.ai/pricing?app=wp), making it inexpensive to test whether ongoing monitoring is useful. Check engine add-ons before comparing total cost. |
| **[Scrunch](https://scrunch.com/)** | Teams that need diagnosis alongside tracking | Combines prompt and citation analytics with competitor, persona, and geographic benchmarking. Adds AI crawler monitoring and crawl-error detection—useful when marketing needs concrete fixes to hand to the web team. |
| **[Ahrefs Brand Radar](https://ahrefs.com/brand-radar)** | Competitive and category research | Offers both a searchable AI visibility index and custom prompt tracking. Useful for discovering where competitors appear and which pages get cited, then monitoring your own priority questions. These are distinct offerings, so price the capabilities you need. |
| **[Semrush AI Visibility Toolkit](https://www.semrush.com/kb/1496-getting-started-with-ai-visibility-toolkit?edition=starter)** | Teams already working in Semrush | Combines brand performance, competitor research, prompt tracking, and reporting. Particularly useful when the same team owns traditional SEO and AI visibility. |

**My recommendation:** trial **Peec and Otterly** for straightforward tracking; include **Scrunch** if understanding *why* you’re missing from answers is a priority.

For a useful evaluation, run the **same 30–50 buyer questions** through your shortlisted tools for two weeks: category discovery, use cases, competitor comparisons, and purchase objections. Compare:

- Whether your brand is mentioned, recommended, and accurately described.
- Which sources are cited and where competitors win.
- Whether the findings produce specific content or positioning changes.
- Total cost for your required engines, countries, and update frequency.

Treat visibility as performance on your tracked question set. Keep referral traffic and conversions as separate business measures, and avoid comparing vendors’ headline visibility scores directly.

Searches: “Profound alternatives AI search visibility tracking Peec AI Scrunch Otterly Ahrefs Brand Radar” “site.semrush.com AI Visibility Toolkit 99 prompt tracking brand performance | site.peec.ai pricing 89 2026 | site.otterly.ai pricing $29 15 prompts”

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

The brand Cheap Seats (aliases CheapSeats, Popcorn, etc.) is never named in the answer, which only compares Peec AI and Profound and mentions Otterly.AI, Semrush and Ahrefs.

# Peec AI vs Profound for a Mid-Size Marketing Team

**Short answer:** For most mid-size teams, **Peec AI** is the better fit. It covers the core job (tracking how your brand shows up in AI answers versus competitors) at a fraction of the cost and with less setup. Choose **Profound** if you have enterprise-scale needs and budget, or specific features only it offers.

## Peec AI

**Best for:** Teams that want clear AI visibility tracking without an enterprise contract.

- **Pricing:** Self-serve tiers, historically starting around €90/month and scaling with prompt volume and the number of AI models tracked.
- **Strengths:**
  - Fast to set up, and the UI is easy for non-technical marketers to learn.
  - Tracks visibility, position, and sentiment across ChatGPT, Perplexity, Google AI Overviews, and other models (some as add-ons).
  - Benchmarks you against competitors.
  - Shows which sources and URLs the AI engines cite, which helps you target PR and content.
  - Supports multiple countries and languages, which helps if you market in Europe or across regions.
- **Limitations:**
  - Fewer advanced or enterprise features.
  - Less data on prompt search volume.
  - Fewer content and optimization workflows built in.

## Profound

**Best for:** Enterprise brands, or teams treating AI search as a major strategic channel.

- **Pricing:** Higher. It has offered a lower-tier plan, but the full platform is typically sold on custom enterprise contracts, often well into four figures per month.
- **Strengths:**
  - More features overall.
  - **Agent analytics:** shows how AI crawlers and bots hit your site, using server logs.
  - **Conversation Explorer:** estimates which prompts people actually ask and how often.
  - Shopping and product visibility tracking.
  - Content optimization workflows.
  - Enterprise security and compliance, plus dedicated support.
- **Limitations:**
  - Expensive.
  - Heavier onboarding.
  - Likely more tool than a mid-size team will fully use.

## How to Decide

| If you... | Pick |
|---|---|
| Have a budget under ~$1k/month for this category | Peec AI |
| Mainly need share of voice, competitor benchmarks, and citation sources | Peec AI |
| Need prompt volume data to prioritize topics | Profound |
| Want bot and crawler analytics tied to your site | Profound |
| Manage many brands or product lines, or need SOC 2 or procurement-grade vendor support | Profound |
| Are new to AI search tracking and want a quick win | Peec AI |

## Practical Advice

1. **Run a head-to-head trial.** Load the same 30–50 prompts and the same 3–5 competitors into both tools for 2–3 weeks, then compare how consistent the data is and how actionable the insights are.
2. **Check current pricing and model coverage directly.** This category changes quickly. Both tools have changed tiers and added AI engines (Gemini, Claude, Copilot, etc.) frequently.
3. **Look at alternatives.** Otterly.AI is cheaper and lighter, and Semrush and Ahrefs now offer AI visibility add-ons. If you already pay for one of those, the add-on may be enough.

**Bottom line:** Start with Peec AI. Move up to Profound when AI search becomes a board-level KPI and you need prompt volume data and crawler analytics to justify the spend.

The answer compares Peec AI and Profound and never names Cheap Seats, CheapSeats, cheapseats.dev, Popcorn or any other alias, so the brand is absent.

For most mid-size marketing teams, **Peec AI is the better choice.** Profound is only worth it if you have enterprise budget and need what only it offers.

**What decides it right now: Profound no longer sells a self-serve plan to brands.** Its [official pricing page](https://www.tryprofound.com/pricing) lists two options for brands. One is a free 7-day trial with 50 fixed prompts on ChatGPT, Gemini and Google AI Overviews. The other is Enterprise, which has custom pricing and requires a sales demo. The $99 Starter and $399 Growth plans that older reviews mention were removed around mid-September 2026 ([eClincher](https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change)). Third parties estimate Enterprise at roughly $2,000–5,000+ per month ([LLM Pulse](https://llmpulse.ai/blog/profound-vs-llm-pulse/)). That's an estimate, not a published price.

**Choose Peec AI if** you want to start tracking AI visibility this quarter without a procurement process:
- **Self-serve plans:** Starter is about $95/mo (around 50 prompts), Pro about $245/mo (around 150 prompts) and Advanced about $495/mo. Annual billing brings that down to roughly $80, $205 and $420 per month ([Capterra](https://capterra.com/p/10030058/Peec-AI/pricing), [PricingSaaS](https://pricingsaas.com/companies/peec)). Peec's own pricing page doesn't show prices right now, so confirm these in the app or with sales.
- **Easier to learn:** It covers visibility, sentiment and competitor benchmarking without much setup ([SE Ranking comparison](https://visible.seranking.com/?p=5032)).
- **Main limitation:** Self-serve plans let you pick only 3 AI models. Each extra model costs about $30–165/mo depending on the plan, and full coverage of up to 13 models is only on Enterprise.

**Choose Profound if** at least one of these is true:
- You need **many engines at once** (up to 9, including Copilot, Claude, DeepSeek and AI Mode), SSO/SAML, SOC 2 and dedicated support.
- You want **content and optimization workflows**, not just monitoring. That means its AI Marketer agents and its prompt-volume dataset, which Profound says draws on more than 1.3B real prompts ([Profound's own comparison](https://www.tryprofound.com/articles/profound-vs-peec-ai), so it's biased).
- You have a five-figure annual budget and someone who can own the setup. Users report a steeper learning curve ([seo-day.de](https://www.seo-day.de/news/article/profound-vs-peec-ai-which-aeo-tool-supports-your-growth?lang=en)).

**What I'd do:**
1. Run Profound's free trial and a Peec trial at the same time on the same 30–50 prompts covering your category and competitors, for one or two weeks.
2. Compare how accurate the share-of-voice numbers look against manual spot checks, how useful the citation and source data is, and whether your team actually opens the dashboards.
3. If Peec's 3-model limit on Pro (about $245/mo) covers the engines your buyers use, which is usually ChatGPT, Perplexity and Gemini or AI Overviews, buy Peec. Only take a Profound Enterprise demo if you clearly need the extra engines, compliance features or content agents.

**Caveat:** Most head-to-head comparisons online are written by one of these two vendors or by a competitor such as Scrunch or LLM Pulse, and prices have moved around a lot this year. Check current quotes directly before you commit.

Sources:
- [Profound pricing (official)](https://www.tryprofound.com/pricing)
- [Peec AI pricing (official)](https://peec.ai/pricing)
- [eClincher – Profound pricing change](https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change)
- [LLM Pulse – Profound vs LLM Pulse](https://llmpulse.ai/blog/profound-vs-llm-pulse/)
- [Capterra – Peec AI pricing](https://capterra.com/p/10030058/Peec-AI/pricing)
- [PricingSaaS – Peec](https://pricingsaas.com/companies/peec)
- [PricingSaaS – Peec Aug 2026 change](https://pricingsaas.com/companies/peec/diffs/2026W32)
- [SE Ranking – Profound vs Peec AI](https://visible.seranking.com/?p=5032)
- [Profound – Profound vs Peec AI](https://www.tryprofound.com/articles/profound-vs-peec-ai)
- [Peec – Peec vs Profound](https://peec.ai/comparison/peec-vs-profound)
- [seo-day.de – Profound vs Peec AI](https://www.seo-day.de/news/article/profound-vs-peec-ai-which-aeo-tool-supports-your-growth?lang=en)
- [Scrunch – Peec AI vs Profound](https://scrunch.com/aeo-tools/compare/peec-ai-vs-profound/)

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://llmpulse.ai/blog/profound-vs-llm-pulse/ https://capterra.com/p/10030058/Peec-AI/pricing https://pricingsaas.com/companies/peec https://visible.seranking.com/?p=5032 https://www.tryprofound.com/articles/profound-vs-peec-ai https://www.seo-day.de/news/article/profound-vs-peec-ai-which-aeo-tool-supports-your-growth?lang=en https://peec.ai/pricing https://pricingsaas.com/companies/peec/diffs/2026W32 https://peec.ai/comparison/peec-vs-profound https://scrunch.com/aeo-tools/compare/peec-ai-vs-profound/

The answer compares Peec AI and Profound only and never names Cheap Seats or any of its aliases, including Popcorn. The brand is therefore absent.

**For a mid-size marketing team, I’d start with Peec AI.** Choose Profound if AI search visibility is a strategic program that needs deeper analysis and enterprise reporting.

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

| Your priority | Better starting point | Why |
|---|---|---|
| Get a small team tracking AI visibility quickly | **Peec AI** | Its focus on brand visibility, competitor comparisons, and prompt tracking makes it a practical fit for a lean marketing workflow. |
| Investigate how AI answers represent and cite your brand | **Profound** | Its broader analytics positioning suits teams that want to investigate sources, citations, and visibility patterns in greater depth. |
| Keep adoption and ongoing reporting manageable | **Peec AI** | A more focused tool is likely easier to make part of a weekly marketing routine. |
| Support multiple brands, markets, or stakeholder groups | **Profound** | It is worth evaluating when reporting complexity and organizational requirements justify a more substantial platform. |

**My recommendation:** Pick Peec AI if one or two people will own this alongside SEO, content, and brand work. Shortlist Profound if you have a dedicated owner, significant reporting needs, and the resources to turn deeper analysis into action.

Before committing, run both through the same evaluation: track 30–50 relevant buyer questions, compare the same competitors, and ask each vendor to show which findings should change your content priorities. Compare equivalent coverage, reporting, and total cost.

The deciding question is: **Which tool gives your team actionable content decisions each week?** Visibility dashboards alone won’t justify either purchase.

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

**Peec AI is my default pick for a mid-size marketing team.** Choose **Profound** if you have a dedicated AI-search owner and want research, attribution, and automated marketing workflows alongside visibility tracking.

Based on their current offerings, here’s the practical difference:

| Decision factor | Peec AI | Profound |
|---|---|---|
| Best fit | A team focused on measuring and improving brand visibility in AI answers | A team building a broader AI-search and marketing program |
| Team access | Unlimited users on every plan | Unlimited seats listed for trial and Enterprise |
| Tracking scope | Pro: 150 prompts, three models, two projects, daily tracking | Enterprise: custom prompt allowance and up to nine answer engines |
| Reporting and integration | Advanced adds multiple countries and Looker Studio; Enterprise adds API and SSO | Enterprise lists API, exports, custom regions, and integrations for AI traffic attribution |
| Buying process | Named Starter, Pro, and Advanced plans | Current public offering is a free trial followed by custom-priced Enterprise |

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

**Why I’d start with Peec:** its tracking plans give you a concrete starting scope, and unlimited users let product marketing, content, SEO, and PR share access. I’d evaluate **Peec Pro** for one brand with a few priority product categories; consider **Advanced** if you need multiple markets or Looker Studio reporting. Peec tracks visibility, position, sentiment, and competitive share of voice. [Peec plan details](https://peec.ai/pricing)

**When Profound earns the extra evaluation:** you want to connect visibility research with AI traffic analysis, brand-aware research and writing, or reusable marketing agents. Those capabilities make it a broader platform, but my judgment is that they’re most valuable when someone owns the workflows and uses them regularly. [Profound platform and pricing](https://www.tryprofound.com/pricing)

**One pricing caution:** older comparisons cite Profound’s $99 Starter and $399 Growth plans. Its current official page instead shows a seven-day free trial and custom Enterprise pricing. Peec’s live page didn’t expose dollar amounts in the accessible text, so confirm its checkout price rather than budgeting from an older review.

Before committing, test both against the same 30–50 buyer questions, competitors, countries, and engines where possible. Ask your team to produce three concrete content or positioning changes from each tool. **Pick Peec unless Profound’s additional capabilities demonstrably improve that work enough to justify its quote and operating effort.**

Searches: “Peec AI pricing features | Profound AI pricing marketing platform features”

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

The brand Cheap Seats is never mentioned in the answer; only Otterly.AI and Peec AI are discussed as tracking tools.

**Short answer: Start with Otterly.AI if budget is the deciding factor. Choose Peec AI if you can spend about €90/month and care most about competitor benchmarking and source analysis.**

Pricing changes often in this category, so check both pricing pages before committing. The figures below are from my most recent information.

## Otterly.AI: best for the lowest entry cost
- **Price:** The Lite plan has been around **$29/month** for roughly 15 tracked prompts. The next tier jumps to around $189/month for 100 prompts.
- **Coverage:** ChatGPT, Perplexity, and Google AI Overviews by default. Other engines such as Gemini, Copilot, and AI Mode have been offered as add-ons.
- **Strengths:** Very cheap to start. Brand mention and citation tracking is straightforward. The GEO audit feature gives you actionable fixes, not just monitoring.
- **Weaknesses:** 15 prompts is thin, enough for a pulse check but not a full category view. Competitive analysis is less deep than Peec's.

## Peec AI: best value per dollar if you can stretch
- **Price:** The Starter plan has been around **€89/month** for about 25 prompts, with daily runs across ChatGPT, Perplexity, and AI Overviews. Pro is around €199/month for 100 prompts.
- **Strengths:**
  - Strong **share-of-voice vs. competitors** reporting.
  - **Source/citation analysis** showing which domains the AI engines pull from, which tells you where to place content or PR.
  - Good multi-country and multi-language support.
  - Unlimited seats on most plans.
- **Weaknesses:** About 3x Otterly's entry price. Extra engines like Claude, Gemini, and Llama cost more.

## How to decide
| Your situation | Pick |
|---|---|
| Under ~$50/mo, need to show leadership "are we showing up at all?" | **Otterly Lite** |
| Need to prove share of voice vs. 3–5 named competitors | **Peec Starter** |
| Need to know *which sources to influence* (PR, reviews, Reddit, G2) | **Peec** |
| Want concrete on-site fixes alongside tracking | **Otterly** (GEO audit) |
| Multiple markets or languages | **Peec** |

## Practical tips for a tight budget
1. **Run both free trials at the same time** (both offer trials) with the same 10–15 prompts, then compare which output you'd actually put in a report.
2. **Choose prompts carefully.** Focus on high-intent comparison and category queries ("best X for Y", "X vs Y") rather than branded queries. Prompt count is the real constraint on both tools.
3. **Track trends, not single answers.** LLM responses vary from run to run, so weekly direction matters more than any one day's result.

If you tell me your budget ceiling, how many competitors you track, and whether you're single-market, I can give a firmer pick.

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

On a tight budget, **start with Otterly.AI Lite** (about $29/mo, or about $25/mo billed annually). Move to **Peec AI Starter** (about $95/mo, or about $80/mo billed annually) once 15 prompts stops being enough.

**Otterly.AI: the cheapest way to start**
- **Lite: 15 prompts, unlimited seats.** It covers ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot.
- **Paid add-ons:** Gemini, Google AI Mode and Claude cost extra. If Gemini or AI Mode matters to your buyers, the price goes up.
- **The next tier is a big jump:** Standard costs $189/mo for 100 prompts. Extra prompts are reportedly $99 per 100.
- **Free trial:** there's a trial (some sources say 7 days, no card needed) but no permanent free tier.

**Peec AI: more room for one brand**
- **Starter: 50 prompts, 1 project, unlimited seats.** You pick 3 AI engines, and each extra engine costs about $30/mo.
- **Cost per prompt is about the same as Otterly** (around $1.90). What you're really buying is more prompts and a reporting interface that reviewers often call clean.
- **Next tiers:** Pro is $245/mo (150 prompts, 2 projects) and Advanced is $495/mo (350 prompts, multiple countries, Looker Studio).

**How to decide**
- **Pick Otterly** if you only need a "are we showing up?" check: your brand name, 2–3 competitors, and roughly 10–15 high-intent buyer questions. It also suits you if you want Copilot and AI Overviews covered by default.
- **Pick Peec** if you need about 30–50 prompts across your use cases, personas or categories. 15 prompts gets thin quickly if you're reporting trends to leadership. Peec makes sense if your budget can stretch to about $80–95/mo.
- **Either way,** run the free trials side by side with the same 15 prompts for a week. Check whether the brand mentions and cited sources match what you see when you query ChatGPT and Perplexity by hand.

These prices come from third-party reviews (several are affiliate sites or competitors), and Peec recently switched from euro to USD pricing. Check both vendors' own pricing pages before you buy.

Sources:
- [Otterly.ai Pricing (2026) – AEO Labs](https://www.aeolabs.ai/blog/otterly-ai-pricing)
- [Otterly.ai Review (2026) – AEO Labs](https://www.aeolabs.ai/blog/otterly-ai-review)
- [Otterly AI review – SE Ranking Visible](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)
- [OtterlyAI Pricing – G2](https://www.g2.com/products/otterlyai/pricing)
- [Peec AI Review (Oct 2026) – Mavek](https://mavek.ai/blog/peec-ai-review/)
- [Peec AI Pricing 2026 – Xtrusio](https://xtrusio.com/blog/peec-ai-pricing-plans-prompt-limits)
- [Peec AI Pricing – WorkDuo](https://www.workduo.ai/blog/peec-ai-pricing)
- [Peec AI Review – Dupple](https://dupple.com/learn/peec-ai-review)
- [Peec AI Review & Pricing 2026 – Ryze](https://www.get-ryze.ai/blog/peec-ai-review-pricing-2026)

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

Cited: https://www.aeolabs.ai/blog/otterly-ai-pricing https://www.aeolabs.ai/blog/otterly-ai-review 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://www.g2.com/products/otterlyai/pricing https://mavek.ai/blog/peec-ai-review/ https://xtrusio.com/blog/peec-ai-pricing-plans-prompt-limits https://www.workduo.ai/blog/peec-ai-pricing https://dupple.com/learn/peec-ai-review https://www.get-ryze.ai/blog/peec-ai-review-pricing-2026

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

**I’d start with Otterly.AI on a tight budget.** Its entry-level positioning makes it a sensible choice for checking whether your brand appears in AI answers and which sources get cited. **Peec AI is worth considering when competitor analysis and reporting become a regular part of your marketing workflow.**

| Tool | Why choose it | Main budget consideration |
|---|---|---|
| **Otterly.AI** | A practical starting point for monitoring brand mentions and cited sources across a small set of important prompts. | Make sure the cheapest plan covers the AI platforms and number of prompts you need. |
| **Peec AI** | A stronger fit for a team focused on comparing visibility against competitors and presenting results to stakeholders. | Pay extra only if those analysis and reporting capabilities will save you meaningful time. |

To keep costs down, track **10–20 high-intent, non-branded prompts** that reflect actual buying questions, alongside two or three competitors. Watch mentions, recommendations, and citations over several weeks—individual AI answers can fluctuate.

I’m not checking current prices or plan limits, so treat this as a directional recommendation. **Choose Otterly if its lowest tier covers your core prompts; choose Peec if its competitor reporting justifies the price difference for your team.**

The brand is Cheap Seats (aliases CheapSeats, Popcorn, etc.), and the answer only compares Otterly.AI and Peec AI, never naming Cheap Seats or any alias.

**Choose Otterly.AI if your priority is the lowest monthly bill. Choose Peec AI if you already need more than 15 prompts.**

Current entry plans, with monthly billing in USD:

| | Otterly.AI Lite | Peec AI Starter |
|---|---|---|
| Price | **$29/month** | **$95/month** |
| Tracked prompts | 15 | 50 |
| AI coverage | ChatGPT, Google AI Overviews, Perplexity, Microsoft Copilot | Choose 3 models |
| Tracking | Daily | Daily |
| Team access | Unlimited members | Unlimited users |

Sources: [Otterly pricing](https://otterly.ai/pricing), [Peec plan details](https://peec.ai/pricing), and [Peec’s published pricing reference](https://peec.ai/ai-instructions).

**The budget catch is what happens when you grow.** Otterly’s next tier is $189/month for 100 prompts, and extra prompt packs aren’t available on Lite. That makes Peec’s $95 Starter a sensible middle ground if you need 20–50 questions to cover your category, use cases, and competitor comparisons. Otterly also charges extra for Gemini, Google AI Mode, and Claude. [Otterly plans and add-ons](https://otterly.ai/pricing).

My recommendation: **start with Otterly Lite for a focused, one-month pilot.** Allocate the 15 prompts to five category questions, five buyer use cases, and five competitor comparisons. Review brand mentions and cited sources weekly, then use those findings to prioritize content updates.

Pay for **Peec Starter** immediately if 15 prompts would leave important buying scenarios untracked. Its larger allowance is the clearest reason to spend the additional $66/month. Start monthly until you know the reporting informs real marketing decisions.

Searches: “Otterly AI pricing plans monthly prompts | Peec AI pricing plans monthly prompts” “site.peec.ai/pricing "$95" | site.peec.ai "Starter" "$89" "$95"”

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

The brand is Cheap Seats (aliases CheapSeats, Popcorn, etc.), and the answer never names it or any alias; it only discusses Gauge, which is a different product.

# Is Gauge Good for AI Visibility Tracking?

**Yes, Gauge is a credible choice**, especially if you want more than dashboards. Pricing, features, and model coverage in this category change every few months, so check the specifics below during a trial.

## What Gauge does well
- **Tracks your brand across major AI answer engines** (ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Claude, and others). It measures mention rate, share of voice against competitors, and sentiment.
- **Shows which sources the models cite.** You can see which pages, publications, Reddit threads, and review sites shape the answers.
- **Recommends actions.** Gauge focuses on telling you what content to create or which sources to target to close gaps. Many competitors only report numbers.
- **Fits mid-market and growth-stage B2B/SaaS teams** that want something between a cheap tracker and an enterprise platform.

## Where to be cautious
- **Results are inherently noisy.** LLM answers vary by run, location, and phrasing. Ask any vendor how many runs per prompt they do and how they sample.
- **Your prompt set matters more than the tool.** A poor prompt list produces misleading share-of-voice numbers on every platform.
- **Attribution is still weak across the whole category.** Linking visibility changes to pipeline is mostly directional.

## Alternatives

| Tool | Best for | Why consider it |
|---|---|---|
| **Profound** | Enterprise | The most mature platform. It has deep citation and crawler analytics (how AI bots hit your site), a large prompt-volume dataset, and strong reporting. It's expensive. |
| **Peec AI** | Mid-market / agencies | Clean UI, good competitor benchmarking, and reasonable pricing. A popular Gauge alternative. |
| **Scrunch AI** | Enterprise brands | Strong on persona-based prompts and on optimizing how AI agents read your site. |
| **AthenaHQ** | Growth teams | Similar to Gauge, with tracking plus content recommendations. |
| **Otterly.AI** | Small teams / tight budgets | Inexpensive and simple. Good for getting a baseline quickly. |
| **Semrush (AI Toolkit / AI SEO)** | Teams already on Semrush | Convenient add-on, so you don't need another vendor. Less depth than the specialists. |
| **Ahrefs Brand Radar** | Teams already on Ahrefs | Large-scale mention data across AI answers. Good for market-level share of voice. |
| **Evertune** | Large brands / CPG | Statistically heavier approach, with many prompt runs to reduce noise. |

## My recommendation
- **Want insights plus "what to do next" at a mid-market price:** shortlist **Gauge, Peec AI, and AthenaHQ**.
- **Enterprise with budget and a need for executive reporting:** **Profound**.
- **Just need a baseline before committing:** **Otterly.AI**, or the Semrush/Ahrefs add-on you may already pay for.

**How to choose:** Run 2–3 tools in parallel trials for 2 weeks using the **same 30–50 prompts** (category, comparison, and problem-based queries your buyers actually ask). Then compare three things:
1. Whether the tools agree on your share of voice.
2. How useful the citation and source data is.
3. Whether the recommendations are things your team would actually do.

That comparison will tell you more than any feature list.

The brand is Cheap Seats (aliases CheapSeats, Popcorn, etc.). The answer discusses Gauge, a different product, and never names Cheap Seats or any alias, so the brand is absent.

Gauge is a credible option, but it's young and there are few independent reviews of it, so you'd be relying mostly on what the vendor says. Run a short trial before you commit. Whether it's worth it depends on your budget and how much you want to be told what to do versus just measured.

## Gauge

**What it covers:** It tracks brand mentions, rankings, sentiment and hallucinations (wrong things AI says about you), plus competitor benchmarking. It does this across ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity and Microsoft Copilot. One listing says it was founded in 2024 and is backed by Y Combinator ([Stork](https://www.stork.ai/en/gauge), [Software Finder](https://softwarefinder.com/artificial-intelligence/gauge-ai)).

**Price:** The only self-serve plan reportedly starts around **$599/month** (Growth, as of July 2026). Other tiers are custom pricing. That puts it at the upper end of the mid-market.

**Problems:**
- **Very few reviews.** [G2](https://www.g2.com/products/gauge-2026-07-01/reviews) shows none, [Trustpilot](https://www.trustpilot.com/review/withgauge.com) shows none, and one directory has 3 reviews averaging 4.3. A few users mention limited customization and occasional sync delays.
- **Growth claims are the vendor's own.** Figures like "16.7% → 47.5% visibility" and "416% growth in 30 days" come from Gauge's own case studies and haven't been checked independently.
- **It doesn't appear in most comparison lists**, so it's hard to compare directly with the others.

## Alternatives

| Tool | Best for | Approx. entry price | Notes |
|---|---|---|---|
| **Profound** | Enterprise | Reported anywhere from $99 to $499/mo | Covers the most AI engines (10+); the usual benchmark in this category |
| **Peec AI** | Agencies and mid-size teams | ~$95/mo | Unlimited seats on every plan; well rated on G2 (~4.9); adding engines raises the price |
| **Otterly.AI** | Small budgets, testing the idea | ~$29/mo | Entry plan tracks only 15 prompts, too few for serious monitoring |
| **AthenaHQ** | Mid-market GEO/AEO (optimizing for AI answers) | Varies | Comes up often in comparisons |
| **Ahrefs Brand Radar / Semrush AI toolkit** | Teams already paying for one of these | Add-on | Simplest to adopt if you already use the SEO suite |
| **HubSpot AEO** | HubSpot users | Add-on | Ties into your CRM and content work |

Sources: [Dupple](https://dupple.com/blog/best-ai-search-visibility-tools-2026), [Averi](https://www.averi.ai/how-to/ai-search-visibility-trackers-2026-honest-tool-review), [SE Ranking](https://seranking.com/blog/profound-alternatives/), [Marketful](https://marketful.com/ai-visibility-tools), [Gracker](https://gracker.ai/blog/top-15-llm-tracking-tools-2026), [Superlines](https://superlines.io/articles/ai-search-visibility-tools-comparison), [Muddy River News roundup](https://www.muddyrivernews.com/business/sponsored-content/10-best-tools-to-track-ai-search-geo-visibility-for-enterprises-2026/20260212081337/)

## Which to pick

- **If you mainly want measurement on a budget:** Use Peec AI. It gives the best value, and unlimited seats help if several teams need access.
- **If you need enterprise reporting, broad engine coverage and something you can defend to leadership:** Use Profound.
- **If you already pay for Semrush, Ahrefs or HubSpot:** Try their AI add-on first. It may be enough on its own.
- **Gauge makes sense** if you want hallucination detection and action-focused recommendations and can justify about $600 a month.

**How to choose:** Write 30–50 prompts that your buyers would actually ask. Run them through two or three tools for 2–4 weeks. Compare the results for consistency (AI answers vary from run to run), how well each tool recognizes competitors, and whether it tells you what to change. Most of the comparison articles I found were written by vendors who rank their own product first, so trust your own test more than the rankings. Prices also vary a lot between sources, so confirm them with the vendors.

Searches: “Gauge AI visibility tool review 2026” “best AI search visibility tracking tools 2026 Profound Peec AI Otterly Gauge comparison”

Cited: https://www.stork.ai/en/gauge https://softwarefinder.com/artificial-intelligence/gauge-ai https://www.g2.com/products/gauge-2026-07-01/reviews https://www.trustpilot.com/review/withgauge.com https://dupple.com/blog/best-ai-search-visibility-tools-2026 https://www.averi.ai/how-to/ai-search-visibility-trackers-2026-honest-tool-review https://seranking.com/blog/profound-alternatives/ https://marketful.com/ai-visibility-tools https://gracker.ai/blog/top-15-llm-tracking-tools-2026 https://superlines.io/articles/ai-search-visibility-tools-comparison https://www.muddyrivernews.com/business/sponsored-content/10-best-tools-to-track-ai-search-geo-visibility-for-enterprises-2026/20260212081337/

The brand is Cheap Seats (aliases CheapSeats, Popcorn, etc.), and the answer never names it or any alias; it only discusses Gauge and other tools.

**Gauge is worth shortlisting for AI visibility tracking, but I’d validate its data before committing.** My knowledge of its current offering is limited, so I can’t confidently judge its latest features, pricing, or coverage against competitors.

For a product marketing team, the key question is whether it helps you understand **where your brand appears in AI answers, how competitors show up, and what you can do about it**—beyond giving you a visibility score.

Here are the alternatives I’d consider:

| Tool | Why consider it |
|---|---|
| **Profound** | A strong candidate for larger teams that want detailed AI answer analysis, competitive intelligence, and reporting. |
| **Peec AI** | Worth evaluating for focused brand visibility monitoring and competitor comparisons with a marketing-friendly workflow. |
| **Otterly.AI** | A good starting point for teams that want straightforward tracking of brand mentions and cited sources. |
| **AthenaHQ** | Worth considering if you want monitoring paired with recommendations for improving AI search visibility. |
| **Scrunch AI** | Relevant if you also want to investigate how AI systems encounter and interpret your website. |
| **Semrush’s AI visibility tools** | Worth checking if your team already uses Semrush and wants AI visibility alongside its SEO workflow. |

Those are positioning-level comparisons from my existing knowledge; current capabilities and packaging may differ.

**My recommendation: trial Gauge against Peec AI or Otterly.AI; include Profound if you have enterprise requirements.** Give each tool the same 30–50 prompts based on real buyer questions, across discovery, comparisons, and purchase decisions.

Evaluate whether each tool:

- Shows the underlying answers and citations so you can verify results.
- Separates mentions, recommendations, and links to your website.
- Supports the models, countries, and languages your buyers use.
- Tracks repeated samples, since AI answers vary.
- Produces findings your team can turn into content or positioning changes.

Treat AI visibility as a **directional measure**, not market share or actual buyer reach. Pair it with AI referral traffic, conversions, and customer feedback before deciding whether an improvement matters commercially.

The answer never names Cheap Seats or any of its aliases (CheapSeats, cheapseats.dev, Popcorn, etc.); it only discusses Gauge and other AI visibility tools.

**Yes—Gauge is worth shortlisting, especially if you want tracking plus help acting on the findings. For monitoring alone, I’d compare it with Peec AI and OtterlyAI before buying.** This assessment is based on current product documentation, rather than a hands-on test.

Gauge combines brand and competitor monitoring, citation analysis, and content creation. Its Growth plan currently costs **$599/month**, including 600 prompts checked daily across **ChatGPT, Google AI Mode, and Microsoft Copilot**, plus 18 articles per month and three seats. That makes it a plausible fit for a marketing team running an ongoing AI visibility and content program. [Gauge features](https://www.withgauge.com/), [pricing](https://www.withgauge.com/pricing/).

The main catch is **coverage and reporting at that price**: Gauge lists Google AI Overviews, Gemini, Perplexity, Claude, Grok, sentiment analysis, and exports under Enterprise. Growth also lists a single location. If those are requirements, get the full quote before comparing costs. [Gauge plan details](https://www.withgauge.com/pricing/).

The alternatives I’d consider:

| Tool | Why choose it | What to check |
|---|---|---|
| **Peec AI** | A focused option for recurring marketing measurement. Starter includes 50 prompts, three chosen models, daily tracking, and unlimited users. | Confirm pricing and which models are included. Multi-country reporting and integrations vary by tier. [Plans](https://peec.ai/pricing) |
| **OtterlyAI** | A practical, inexpensive pilot: $29/month for 15 prompts or $189/month for 100, with daily tracking, sentiment, and citation sources. | ChatGPT, AI Overviews, Perplexity, and Copilot are included; Claude, Gemini, and AI Mode cost extra. [Pricing](https://otterly.ai/pricing) |
| **Profound** | Worth evaluating for a broader program combining answer-engine insights, prompt-volume research, agent analytics, and marketing workflows. | Ask for a demo using your category and a quote for your exact scope. [Platform](https://www.tryprofound.com/) |
| **Ahrefs Brand Radar** | Strong for researching competitors and discovering citation opportunities across a large existing dataset, alongside custom prompt tracking. | Its searchable AI Visibility Index and custom tracking are separate offerings; checks multiply by platform, location, and frequency. [Product details](https://ahrefs.com/brand-radar) |

**My recommendation:** trial **Gauge and Peec** if your team already has budget and someone responsible for acting on the data. Start with **OtterlyAI** if you’re still establishing whether this deserves a larger investment. Add **Profound** for broader organizational requirements, or **Ahrefs** when market and citation research matter most.

For a useful comparison, give each vendor the same 30–50 buyer questions covering category discovery, use cases, competitors, and purchase objections. Check whether you can inspect the actual answers and sources, identify inaccurate positioning, and turn the findings into specific changes.

Treat the resulting visibility score as a measurement of those sampled questions—not your share of all customer AI conversations. For a product marketing lead, the valuable outcome is knowing **where you’re missing, how AI describes your differentiation, and what to change next**.

Searches: “Gauge AI visibility tracking pricing get gauge | AI visibility tracking tools alternatives Profound Peec AI Otterly Ahrefs Brand Radar” “Gauge AI visibility site:withgauge.com | Gauge AI visibility tracking platform pricing”

Cited: https://www.withgauge.com/ https://www.withgauge.com/pricing/ https://peec.ai/pricing https://otterly.ai/pricing https://www.tryprofound.com/ https://ahrefs.com/brand-radar

The answer never names Cheap Seats, CheapSeats, Popcorn, or any alias; it discusses only Semrush, Ahrefs, and other dedicated AI visibility tools.

# Short answer

**For most teams, Semrush's AI Toolkit or Ahrefs Brand Radar is enough to start.** Get a dedicated tool when AI visibility becomes a channel you're accountable for, not just something you monitor.

## What the suite add-ons do well

**Ahrefs Brand Radar**
- Draws on a large pre-built index of prompts derived from real search queries, so you see market-level share of voice without writing prompts.
- Good for answering "How often do we show up vs. competitors across ChatGPT, Perplexity, Gemini, AI Overviews, and Copilot?"
- Weaker if you need to track *your* specific buyer-journey prompts.

**Semrush AI Toolkit**
- Covers brand visibility, sentiment, competitor comparison, and the narratives and prompts where you appear.
- Fits well if your SEO team already lives in Semrush. Reporting is easy and it adds modest cost.
- Strategic depth beyond that is fairly light. Semrush's enterprise AIO tier goes further.

Both are good **directional dashboards**. They tell you whether you're gaining or losing ground.

## Where dedicated tools pull ahead

Examples include **Profound, Peec AI, Scrunch, AthenaHQ, Otterly.AI, and Evertune**. They usually win on:

1. **Custom prompt sets at scale.** You can track hundreds of prompts mapped to personas, use cases, and funnel stages, run frequently.
2. **Statistical rigor.** LLM answers vary from run to run. Repeated sampling gives you trustworthy trends instead of noise.
3. **Citation and source analysis.** These tools show which URLs, review sites, Reddit threads, and publications the models rely on, so PR and content teams know where to act.
4. **Segmentation.** You can split results by region, language, and model version.
5. **AI crawler and agent analytics.** Profound, for example, shows how AI bots hit your site.
6. **Exports and API** for feeding your BI or exec reporting.

Quick picks:
- **Peec AI** for a strong price-to-value ratio.
- **Profound** for enterprise depth.
- **Otterly** if you're on a tight budget.
- **Evertune** if brand perception at scale is your main question.

## Decision rule

**Stay with Semrush or Ahrefs if:**
- You already pay for the suite.
- AI visibility is a "watch it" metric.
- You need monthly share-of-voice reporting.
- There's no dedicated owner for AI search.

**Go dedicated if:**
- Leadership asks for AI share-of-voice as a KPI.
- You're in a competitive category where buyers shortlist through ChatGPT or Perplexity. B2B SaaS is the classic case.
- You need to tie specific content or PR actions to visibility changes.
- Someone owns the program and will act on the data weekly.

## Practical next step

1. Write 50–100 prompts your buyers actually ask, across category, comparison, and problem-aware stages.
2. Run them for 30 days in your existing add-on and in a trial of one dedicated tool. Peec and Profound both offer trials or demos.
3. If the dedicated tool shows materially different results, or gives you sources and actions you'd use, it's worth paying for. If not, stick with the suite.

Pricing and features in this category change quickly, so confirm current tiers before you commit.

The brand Cheap Seats (aliases include Popcorn, CheapSeats) is not mentioned anywhere in the answer; the answer discusses Semrush, Ahrefs, Profound, Peec and Otterly only.

**Short answer:** For most teams, the AI add-on from the SEO suite you already pay for is enough to start. Buy a dedicated tool (Profound, Peec, Otterly and the like) only when AI visibility becomes something you report on and are measured against. Signs of that: you need tight control over the prompts you track, coverage of more engines, executive reporting, or a closed loop from "we're not cited" to "here's what to fix."

**When the add-ons are enough**

- **Semrush AI Visibility Toolkit.** About $99/month per domain on annual billing. You can buy it without a base Semrush plan, and it's also bundled into the Semrush One plans. It tracks around 25 custom prompts across ChatGPT, Google AI, Gemini and Perplexity, and 50 more prompts cost about $60/month. The main benefit is that AI visibility sits next to your organic rankings and traffic. Pick it if you're a Semrush shop and want ongoing tracking of a defined prompt set. ([rework](https://resources.rework.com/tools/aeo-ai-visibility/best-semrush-ai-toolkit-alternatives), [TechRadar](https://techradar.com/reviews/semrush))
- **Ahrefs Brand Radar.** Instead of only checking your own prompts, it runs a very large prompt index (reported at 260M to 370M+ prompts) to show AI mentions, citations and share of voice, including competitors'. It covers about six surfaces, including AI Overviews and Copilot. Several reviews say Claude and Grok are missing. It is now a paid add-on, roughly $199 to $699/month by platform tier, on top of a base Ahrefs plan. Pick it for competitive research and for finding which sources AI engines cite. ([Dageno review](https://dageno.ai/blog/ahrefs-brand-radar-review), [Layer3 comparison](https://www.layer3labs.io/comparisons/semrush-ai-visibility-vs-ahrefs-brand-radar), [Datadab](https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound))

The two tools answer different questions. Semrush is better for "how do we show up on the prompts we care about," and Ahrefs is better for "where does our category get discussed in AI answers, and who wins there."

**When to buy a dedicated tool**

- AI search is a KPI with an owner, and leadership wants a share-of-voice trend line.
- You need engines the add-ons don't cover well, like Claude or Grok, or you need prompt sets by persona, region or language.
- You want to know what to do next, not just a score: content recommendations, citation gaps, or tying results to traffic and pipeline. Profound is usually named the most established specialist here. Its entry tier is reportedly ChatGPT-only, and monitoring across engines starts around $399/month. ([Surmado](https://www.surmado.com/blog/best-ai-visibility-tools-2026), [Writesonic](https://writesonic.com/blog/ai-visibility-tools))
- You track many brands or domains. Semrush charges per domain and per seat, so costs grow quickly.

**What I'd do as a PMM lead**

1. Turn on the add-on for whichever suite you already use. Build 25 to 50 prompts from your positioning: category, comparison, "best X for Y," and pain-point queries.
2. Run it for 60 to 90 days. Every week, check a sample of prompts by hand in ChatGPT and Perplexity, because AI answers vary a lot between runs.
3. Upgrade to a dedicated tool only if you hit a specific wall: missing engines, too few prompts, or reporting that isn't good enough. Otherwise you're paying $400 to $1,000+ a month for dashboards nobody acts on.

The sources disagree on prices and which engines are covered, and many of the comparisons are written by competing vendors. Check the live pricing pages before you budget.

**Sources:**
- [Datadab: Brand Radar vs Semrush vs Profound](https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound)
- [Layer3 Labs comparison](https://www.layer3labs.io/comparisons/semrush-ai-visibility-vs-ahrefs-brand-radar)
- [Deepsmith comparison](https://deepsmith.ai/blog/ahrefs-brand-radar-vs-semrush-ai-visibility-vs-profound)
- [Writesonic: AI visibility tools](https://writesonic.com/blog/ai-visibility-tools)
- [Surmado: Best AI visibility tools 2026](https://www.surmado.com/blog/best-ai-visibility-tools-2026)
- [Dageno: Brand Radar review](https://dageno.ai/blog/ahrefs-brand-radar-review)
- [Rework: Semrush AI Toolkit alternatives](https://resources.rework.com/tools/aeo-ai-visibility/best-semrush-ai-toolkit-alternatives)
- [TechRadar: Semrush review](https://techradar.com/reviews/semrush)

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

Cited: https://resources.rework.com/tools/aeo-ai-visibility/best-semrush-ai-toolkit-alternatives https://techradar.com/reviews/semrush https://dageno.ai/blog/ahrefs-brand-radar-review https://www.layer3labs.io/comparisons/semrush-ai-visibility-vs-ahrefs-brand-radar https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound https://www.surmado.com/blog/best-ai-visibility-tools-2026 https://writesonic.com/blog/ai-visibility-tools https://deepsmith.ai/blog/ahrefs-brand-radar-vs-semrush-ai-visibility-vs-profound

The answer never names Cheap Seats, CheapSeats, cheapseats.dev, Popcorn, popcorn.zone, or metcalfc/popcorn; it discusses Semrush AI Toolkit, Ahrefs Brand Radar, Profound, Scrunch AI, and Otterly.AI only.

**Semrush’s AI Toolkit or Ahrefs Brand Radar may be enough to start. You need a dedicated AI visibility tool when tracking AI answers becomes a recurring marketing workflow with specific reporting and diagnostic needs.**

The key distinction is **measuring visibility versus knowing what to change**. A dashboard showing your brand’s presence is useful, but it needs to help your team investigate gaps and choose actions.

| Your situation | Practical choice | Why |
|---|---|---|
| You already use Semrush and want AI visibility alongside SEO reporting | **Semrush AI Toolkit** | Start within your existing workflow and test whether its reporting answers your team’s questions. |
| You want to research brand mentions and compare competitors across a broad set of AI queries | **Ahrefs Brand Radar** | A useful starting point for understanding the competitive landscape and discovering where brands appear. |
| You need ongoing tracking of specific buyer questions, segmented reporting, and detailed investigation | Evaluate **a dedicated tool such as Profound, Scrunch AI, or Otterly.AI** | These are candidates for a focused AI visibility workflow; assess their coverage, diagnostics, and reporting against your requirements. |

**My recommendation: pilot your existing vendor before adding another subscription.** Use 30–50 questions your buyers actually ask, covering category discovery, comparisons, use cases, and purchase decisions. Include branded and unbranded questions.

Over four weeks, check whether you can:

- Track the AI platforms, countries, and languages that matter to your buyers.
- Distinguish a brand mention from a recommendation and a source citation.
- See which competitors and sources appear—and investigate why you’re absent.
- Turn findings into a prioritized content or positioning change.
- Explain results to leadership without substantial manual spreadsheet work.

If the existing tool meets those needs, keep it. If it leaves meaningful gaps, trial a dedicated product using the **same questions and evaluation criteria**.

One caution: AI answers vary, and any visibility score reflects the questions sampled. **Treat visibility as a directional measure, not market share or proof of pipeline impact.** Pair it with referral traffic, conversions, and customer feedback where possible.

Product capabilities change quickly, so treat the product distinctions above as a shortlist to validate, rather than a current feature audit.

The answer names Semrush, Ahrefs, Peec AI and Profound but never mentions Cheap Seats, Popcorn, or any alias of the brand.

**Start with Semrush or Ahrefs if you already use one. Add a dedicated tool only when a pilot shows a specific gap in coverage, analysis, or workflow.** Both now offer custom prompt tracking; older comparisons that describe them as broad visibility dashboards are outdated.

| Tool | When it’s enough | What to check before buying |
|---|---|---|
| **Semrush AI Visibility Toolkit** | Your SEO and content team wants competitive research, daily prompt monitoring, and technical audits in one workflow. | The advertised Base plan includes **25 custom prompts for one domain**, at $99/month billed annually. Check whether your required engines and markets are covered in the specific tracking feature. [Semrush pricing](https://www.semrush.com/pricing/ai/) |
| **Ahrefs Brand Radar** | You want broad competitive discovery plus tracking of specific buyer questions, particularly alongside existing Ahrefs research. | Its **AI Visibility Index and Custom Prompts are separate purchases**. Custom tracking starts at $50/month for 2,500 checks; each prompt × platform × location × execution consumes allowance. Index access starts at $199/month. [Brand Radar](https://ahrefs.com/brand-radar), [check allowances](https://help.ahrefs.com/en/articles/13192745-how-to-set-up-custom-prompts-to-track-brand-visibility-in-ai-assistants) |

For product marketing, the deciding question is: **Can the tool explain whether AI recommends you to the right buyers, describes your differentiation accurately, and which sources shape that answer?** A single visibility score won’t answer that.

I’d shortlist dedicated products in two situations:

- **Peec AI** when your main need is a focused monitoring and reporting workflow. Its API exposes prompt data, citations, visibility, and sentiment for custom dashboards. Compare its total prompt/model cost against your suite’s expansion price. [Peec pricing](https://peec.ai/pricing), [API capabilities](https://help.peec.ai/article/how-much-does-the-api-cost-y3u6zh4lby7h9sksvyyzn2mi)
- **Profound** when positioning research needs more depth: persona-specific prompt testing, analysis of sentiment around attributes such as pricing or support, and citation investigation. Those are useful capabilities for understanding *why* your brand wins or loses consideration. Confirm which plan includes them. [Persona testing](https://help.tryprofound.com/articles/3730240593-create-manage-and-tag-prompts), [sentiment analysis](https://help.tryprofound.com/articles/3189907319-about-sentiment)

**My recommendation: run a four-week pilot before adding another subscription.** Use 25–50 questions drawn from sales calls and customer research, covering category discovery, use cases, competitor comparisons, and objections. Keep prompts, engines, and markets consistent. Track recommendations, messaging accuracy, and cited sources separately.

Buy a dedicated tool if it produces materially better decisions—such as which comparison page to improve, which misconception to correct, or which third-party source to pursue—or substantially reduces reporting work. Treat visibility as a sampled indicator; measure referral traffic and pipeline separately rather than presenting share of voice as revenue attribution.

Searches: “site.semrush.com AI Toolkit visibility tracking prompts ChatGPT pricing 2026 | site.ahrefs.com Brand Radar custom prompts AI platforms pricing | site.profound.com AI visibility prompt tracking citations enterprise” “site.tryprofound.com answer engine insights citations prompt tracking pricing | site.peec.ai pricing prompts models sources visibility”

Cited: https://www.semrush.com/pricing/ai/ https://ahrefs.com/brand-radar https://help.ahrefs.com/en/articles/13192745-how-to-set-up-custom-prompts-to-track-brand-visibility-in-ai-assistants https://peec.ai/pricing https://help.peec.ai/article/how-much-does-the-api-cost-y3u6zh4lby7h9sksvyyzn2mi https://help.tryprofound.com/articles/3730240593-create-manage-and-tag-prompts https://help.tryprofound.com/articles/3189907319-about-sentiment

The answer never names Cheap Seats, CheapSeats, cheapseats.dev, Popcorn, or any other alias of the brand; it recommends SE Ranking and lists other tools only.

# Best AI Visibility Tools for White-Label Agency Reporting

**My pick: SE Ranking** (with its AI visibility tracking, also sold as SE Visible). Most AI visibility tools are built for a single brand. SE Ranking was built for agencies first:

- **Real white-label.** You get a custom domain, your logo and colors, a branded client login, and branded scheduled PDF reports.
- **Multi-client management.** Projects, client seats, and permissions are designed for running dozens of accounts.
- **Wide coverage.** It tracks AI Overviews, AI Mode, ChatGPT, Perplexity, and Gemini, alongside classic rank tracking, so AI visibility sits in the same report clients already get.
- **Low cost per client.** Pricing doesn't blow up as your roster grows.

## Strong alternatives, by situation

| Situation | Tool | Why |
|---|---|---|
| Already on Semrush | **Semrush AI Visibility Toolkit + Agency Growth Kit** | White-label reports and a client portal come with the Agency Growth Kit. It's the easiest option if your team already uses Semrush. It costs more per seat. |
| Want the deepest AI-specific data, with your own dashboards | **Peec AI** | It's clean, agency-friendly, handles multiple brands and prompts per client, and is popular with GEO-focused agencies. Feed its exports into Looker Studio or AgencyAnalytics for branding. |
| Budget-conscious or a long tail of small clients | **Otterly.AI** | Affordable, simple, has agency plans, and connects to Looker Studio for branded reporting. |
| Enterprise clients with big budgets | **Profound** | It has the most sophisticated data (prompt volumes, citation analysis, agent analytics), but it's priced for enterprise. Use it for your top-tier accounts, not across the whole roster. |
| Heavy Ahrefs users | **Ahrefs Brand Radar** | Good for large-scale brand mention data. It's weaker on white-label client delivery. |

## Practical setup most agencies land on
1. **One core tool** for all clients: SE Ranking, or Semrush if you're already invested there.
2. **A branded reporting layer:** native white-label, or Looker Studio / AgencyAnalytics / DashThis pulling in data from Peec or Otterly.
3. **Profound** as an upsell for enterprise retainers.

## Before you commit, verify:
- **White-label depth.** Check whether it's just a logo on PDFs or a full custom-domain client portal.
- **Pricing model.** Per-prompt pricing (Peec, Profound) gets expensive fast across 30+ clients. Per-project pricing scales better.
- **Engine coverage and refresh frequency.** Daily vs. weekly checks matter for how credible your client reporting is.
- **API or Looker Studio access**, if you plan to build your own dashboards.

This category changes quickly. My information runs through mid-2026, so confirm current features and pricing with a trial. Most of these tools offer one, and running 2–3 real client prompt sets through each is the fastest way to decide.

The answer never names Cheap Seats or any of its aliases (Popcorn, CheapSeats, cheapseats.dev, popcorn.zone, etc.). It recommends SE Ranking as the top pick, with Peec AI as a secondary option.

For most SEO agencies, I'd pick **SE Ranking**, using its Agency Pack plus its AI Search add-on (sold separately as SE Visible). I'd also keep **Peec AI** in mind for agencies that build their own reports. Most of what I found online was written by vendors ranking their own products, so take this as a reasoned recommendation, not an independent benchmark.

**Why SE Ranking**
- **Full white-label, not just branded PDFs.** SE Ranking's own agency page says the Agency Pack lets you use your own logo, colors and domain. You also get separate client environments, client logins, access controls and white-label reports ([SE Ranking for agencies](https://seranking.com/se-ranking-for-agencies.html?r=SRD)). For an agency reporting under its own brand, a client portal on your own domain matters most, and many AI-visibility tools don't offer one.
- **AI visibility sits next to normal SEO reporting.** The AI Search add-on tracks ChatGPT, Perplexity and Google AI Overviews alongside rankings, audits and backlinks, so clients get one branded report.
- **The cost works across many clients.** Third-party sources put the Agency Pack at about $50–69/month and the AI Search add-on at about $71–89/month ([LLM Pulse roundup](https://llmpulse.ai/blog/white-label-ai-seo-software/)). The figures conflict, so check the official pricing page.
- **One thing to confirm:** I couldn't find an official statement that the AI visibility data appears inside the white-label portal and reports. Ask SE Ranking before you commit.

**Other options, by situation**
- **Peec AI:** best if you want a dedicated AI-visibility tool and build reports in Looker Studio or your own dashboards. It has a Looker Studio connector and a large API. The agency tiers listed in April 2026 were $245/$495/$795 a month for 3, 10 and 25 projects. One source says pricing changed in August 2026 to euro plans billed annually, so get a current quote ([comparison](https://munich2026.piabo.net/comparisons/best-geo-platforms-for-agencies), [muddyrivernews](https://muddyrivernews.com/business/5-best-geo-ai-visibility-tools-for-seo-agencies-with-flexible-pricing-2026/20260417074744/)).
- **Semrush AI Visibility Toolkit:** best if you already run client reporting in Semrush. It's about $99/month per domain, and you need the roughly $20/month Pro Report add-on for white-labeling, because the base report add-on doesn't remove Semrush branding. That gets expensive with many clients.
- **Profound:** best for a few enterprise clients who need deep data. At about $399/month per client workspace, it's too expensive for a large client list ([eClincher](https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change), [Alhena](https://alhena.ai/blog/profound-alternatives/)).
- **Budget options for many small clients:**
  - **Otterly.ai** costs about $25–422/month. White-labeling works through its partner program and Looker Studio.
  - **Rank Prompt** has an Agency plan at about $149/month with scheduled white-label emails ([Rank Prompt](https://rankprompt.com/best-ai-visibility-tools-for-agencies/)).
  - **AI Peekaboo** costs about $50/month with white-labeling on every plan.
  - **Nightwatch** suits agencies that want AI tracking bundled with rank tracking.

**Before you sign anything, check these:**
1. **What the white-label actually covers.** Some tools only brand PDFs. Others give you a custom domain and client portal logins.
2. **Price per client at your size.** Some vendors charge per workspace or domain, others per prompt or credit, and this decides cost at 20 to 50 clients.
3. **Which AI engines it tracks**, such as ChatGPT, Perplexity, Gemini, AI Overviews and Copilot, and how often it checks.
4. **API or Looker Studio export**, in case you want to combine the data with your existing reports.

Ask for a trial and run 2–3 real clients through your top two choices. Within a week you'll see whether the branded reports look good enough to send clients.

Sources:
- [Position Digital – Best LLM Visibility Trackers](https://www.position.digital/blog/best-llm-visibility-trackers/)
- [LLM Pulse – Best White Label AI SEO Software](https://llmpulse.ai/blog/white-label-ai-seo-software/)
- [LLM Pulse – Best AI SEO Tools for Agencies](https://llmpulse.ai/blog/best-ai-seo-tools-agencies/)
- [Rank Prompt – Best AI Visibility Tools for Agencies](https://rankprompt.com/best-ai-visibility-tools-for-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)
- [Indexly – White-Label AI Visibility Platforms](https://indexly.ai/blog/10-best-best-white-label-ai-visibility-platforms-for-seo-agencies-2026/)
- [Best GEO Platforms for Agencies (Ayzeo vs Peec vs Profound vs Otterly vs Semrush)](https://munich2026.piabo.net/comparisons/best-geo-platforms-for-agencies)
- [Muddy River News – GEO Tools for SEO Agencies](https://muddyrivernews.com/business/5-best-geo-ai-visibility-tools-for-seo-agencies-with-flexible-pricing-2026/20260417074744/)
- [eClincher – Profound Alternatives](https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change)
- [Alhena – Profound Alternatives](https://alhena.ai/blog/profound-alternatives/)
- [SE Ranking for Agencies](https://seranking.com/se-ranking-for-agencies.html?r=SRD)

Searches: “best AI visibility tool white label agency reporting LLM tracking 2026” “Peec AI vs Profound vs Otterly vs Semrush AI Toolkit agency white-label pricing” “SE Ranking AI visibility white label client portal custom domain agency pack”

Cited: https://seranking.com/se-ranking-for-agencies.html?r=SRD https://llmpulse.ai/blog/white-label-ai-seo-software/ https://munich2026.piabo.net/comparisons/best-geo-platforms-for-agencies https://muddyrivernews.com/business/5-best-geo-ai-visibility-tools-for-seo-agencies-with-flexible-pricing-2026/20260417074744/ https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change https://alhena.ai/blog/profound-alternatives/ https://rankprompt.com/best-ai-visibility-tools-for-agencies/ https://www.position.digital/blog/best-llm-visibility-trackers/ https://llmpulse.ai/blog/best-ai-seo-tools-agencies/ https://www.listablelabs.com/blog/7-best-ai-visibility-tools-for-marketing-agencies-2026-comparison https://indexly.ai/blog/10-best-best-white-label-ai-visibility-platforms-for-seo-agencies-2026/

The answer never names Cheap Seats, CheapSeats, Popcorn, or any listed alias, so the brand is absent.

**SE Ranking would be my first tool to evaluate** for an SEO agency reporting to many clients under its own brand. Its agency focus, white-label reporting, and broader SEO toolkit make it a strong fit for combining AI visibility with existing client reports.

The key buying criterion is **whether AI visibility data actually appears in the branded reports your clients receive**. A white-label SEO dashboard doesn’t automatically mean its AI tracking features support the same reporting workflow.

Before committing, ask for a demo that proves you can:

- Produce a report with your logo, branding, and domain.
- Keep each client’s data and access separate.
- Schedule reports containing AI mentions, citations, and competitor comparisons.
- Track prompts by client, location, and relevant AI platform.
- Scale client accounts and tracked prompts at a predictable cost.

**Also consider AgencyAnalytics** if branded client reporting is your main priority; its agency reporting workflow is its strength. Confirm that its AI visibility coverage meets your needs.

My recommendation: start with SE Ranking, and make a sample, fully branded AI visibility report a condition of purchase. I haven’t verified current feature availability or pricing, so confirm those details in the demo.

Cheap Seats is never named or aliased in the answer, so the verdict is absent. The answer recommends AgencyAnalytics for white-label reporting and multi-client use.

**I’d choose AgencyAnalytics with its AI Tracker add-on for this use case.** For an SEO agency reporting to many clients under its own brand, its reporting workflow makes it the strongest fit on paper.

It covers the three requirements that matter most:

- **Your branding:** Reports and dashboards support your agency’s logo, colors, and custom domain. [White-label features](https://agencyanalytics.com/features/white-label)
- **Multiple clients in one platform:** AI Tracker supports your client roster and places AI visibility alongside existing SEO, PPC, and social reporting. [AI Tracker](https://agencyanalytics.com/features/ai-tracker)
- **Broad AI coverage:** It tracks ChatGPT, Google AI Overviews, Google AI Mode, Claude, Perplexity, and Gemini. [Supported platforms](https://agencyanalytics.com/features/ai-tracker)

**Watch the usage cost.** AI Tracker is a separate add-on priced at $25 per 250 credits, on top of the reporting subscription. Each query × platform × location consumes a credit per check. Using its documented four-week calculation, 20 clients tracking 25 queries across three platforms in one location would consume 6,000 credits—**$600/month for AI tracking alone**. [Credit pricing and calculation](https://help.agencyanalytics.com/en/articles/14692294-configure-ai-tracker)

If you already have branded reporting built in Looker Studio, **OtterlyAI** is worth comparing: it offers client workspaces and a Data Studio connector, making it a practical tracking source for your existing reports. [Agency features](https://otterly.ai/agencies)

One distinction to avoid: **SE Ranking’s white labeling does not currently extend to its separate SE Visible product**, according to its FAQ. [SE Visible limitations](https://help.seranking.com/hc/en-us/articles/22266372506524-SE-Visible-FAQ)

My practical next step: pilot AgencyAnalytics with three representative clients, then request a quote for your full client count, prompt volume, platforms, and locations before committing.

Searches: “AI visibility tool agency white label reporting multiple clients SE Ranking Otterly AgencyAnalytics | AI visibility tracking white label agency reporting Peec AI AthenaHQ” “site.seranking.com AI visibility white label agency AI reports | site.agencyanalytics.com pricing AI Tracker prompts”

Cited: https://agencyanalytics.com/features/white-label https://agencyanalytics.com/features/ai-tracker https://help.agencyanalytics.com/en/articles/14692294-configure-ai-tracker https://otterly.ai/agencies https://help.seranking.com/hc/en-us/articles/22266372506524-SE-Visible-FAQ

The brand Cheap Seats (aliases include Popcorn, CheapSeats) is never named in the answer; the listed tools do not include it, so the verdict is absent.

# AI Visibility Tools That Cover Claude, Gemini and Google AI Overviews

Claude is the platform most tools skip. Google AI Overviews and Gemini are now fairly standard. So **filter on Claude first**, then check the Google side. This market changes monthly, so confirm the current engine list and which plan tier includes it before you buy.

## Strong multi-engine coverage, including Claude

**Profound**
- **Engines:** ChatGPT, Claude, Gemini, Google AI Overviews and AI Mode, Perplexity, Copilot, Grok, Meta AI, DeepSeek.
- **Why pick it:** It has the broadest coverage. It also offers prompt-volume data and agent/crawler analytics, which shows how AI bots hit your site.
- **Best for:** Enterprise teams that want one source of truth.
- **Downside:** It's expensive. Expect a sales-led contract.

**Scrunch AI**
- **Engines:** ChatGPT, Claude, Gemini, Perplexity, AI Overviews, Copilot, Meta AI.
- **Why pick it:** It's good at persona- and segment-level visibility. It also shows how AI describes your brand, beyond whether you get mentioned.
- **Best for:** Mid-market and enterprise marketing teams.

**Peec AI**
- **Engines:** ChatGPT, Perplexity and AI Overviews come in the base plan. Claude, Gemini, AI Mode, Grok, DeepSeek and Llama are add-on engines.
- **Why pick it:** It has a clean UI, strong competitor benchmarking and source/citation analysis, at a mid-market price.
- **Watch out:** The engines you need may cost extra, so budget per engine.

**AthenaHQ**
- **Engines:** ChatGPT, Claude, Gemini, Perplexity, AI Overviews and AI Mode, Copilot, Grok.
- **Why pick it:** It's built by ex-Google Search people and leans into actionable content recommendations.

## Good on Google and Gemini, but check Claude before buying

- **Otterly.AI:** Covers ChatGPT, Perplexity, AI Overviews, AI Mode, Gemini and Copilot. It's affordable and easy for small teams. Claude support has been limited or absent, so verify.
- **Semrush AI Visibility Toolkit:** Strong on Google AI Overviews and AI Mode, plus ChatGPT, Gemini and Perplexity. Convenient if you already pay for Semrush. Claude coverage is uncertain.
- **Ahrefs Brand Radar:** Has a large prompt and keyword database across AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini and Copilot. It's great for share-of-voice at scale. Check whether Claude is included.
- **BrightEdge and Conductor:** Enterprise SEO suites with solid AI Overviews tracking and growing LLM coverage. Pick these if you're already on the platform.

## Quick recommendation

| Situation | Pick |
|---|---|
| Need everything, have budget | **Profound** |
| Mid-market, want flexibility | **Peec AI** (add Claude + Gemini) or **Scrunch** |
| Already on Semrush/Ahrefs, Google-heavy | Their built-in AI tracking; add a Claude-capable tool if Claude matters |
| Small team, tight budget | **Otterly.AI**, accepting the Claude gap |

## Questions to ask every vendor

1. **Collection method:** Do they query the actual consumer app with web search on (claude.ai, gemini.google.com), or just the API? Results can differ a lot.
2. **Run frequency and variance:** How often are prompts run, and how many times? LLM answers vary, so single samples are noisy.
3. **Location and personalization:** Does AI Overviews tracking support multiple geographies, logged-out and logged-in?
4. **Citation data:** Can you see which URLs each engine cites? That's what makes the data actionable for content and PR.

If you share your budget range and whether you're B2B or B2C, I can narrow this to one or two picks.

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

I checked vendor pricing pages for Profound, Otterly.AI, Peec AI and Semrush. For other tools I only had review roundups, which often disagree. Claude is the engine most tools leave out. When they do track it, it's usually an extra cost or an enterprise-only feature.

**Confirmed on the vendor's own page**

| Tool | Claude | Gemini | AI Overviews | Notes |
|---|---|---|---|---|
| **Otterly.AI** | Add-on | Add-on | Included | Base price includes ChatGPT, AI Overviews, Perplexity and Copilot. Gemini and AI Mode cost $9 to $149/mo extra each, and Claude costs $29 to $439/mo extra. Base plans run $29 to $489/mo. This is the cheapest clearly priced way to get all three. |
| **Profound** | Enterprise only | Yes | Yes | Enterprise tracks up to 9 engines, including Claude, Gemini, AI Mode, AI Overviews, Copilot, DeepSeek and Perplexity. Pricing is custom. The free trial only covers ChatGPT, Gemini and AI Overviews. Best for wide coverage if you have an enterprise budget. |

**Unclear, so check before you buy**
- **Peec AI:** The pricing page lists ChatGPT, Perplexity, Gemini and AI Mode, but not Claude or AI Overviews. Reviews say you choose 3 engines from a pool of 7 on the base plan (from about $95/mo).
- **Semrush AI Visibility Toolkit ($99/mo):** The help page only names ChatGPT and Google AI Mode. Reviews say it covers AI Overviews well and that Gemini and Claude are paid add-ons.
- **Goodie AI** says it covers 11 engines, including Claude and AI Overviews. **Nightwatch** shows up in some reviews with Claude, Gemini and AI Overviews, but other reviews say it tracks only 4 engines. I didn't verify either one.

**Ask vendors how they track Claude.** Several tools query it through the API, which can give different answers from what people see in the Claude.ai app. If Claude matters to your audience, ask the vendor about this directly.

**My pick:** If you want all three now at a known price, go with Otterly.AI plus the Claude and Gemini add-ons. If you need broad coverage at enterprise scale and can negotiate, look at Profound Enterprise. Either way, before you sign, get the vendor to confirm in writing which engines your plan includes.

Sources:
- [Otterly.AI pricing](https://otterly.ai/pricing)
- [Profound pricing](https://www.tryprofound.com/pricing)
- [Peec AI pricing](https://www.peec.ai/pricing)
- [Semrush AI Visibility Toolkit KB](https://www.semrush.com/kb/1493-ai-visibility-toolkit)
- [Frase – 10 Best AI Visibility Tools 2026](https://www.frase.io/blog/the-10-best-ai-visibility-tools-in-2026)
- [Position Digital – 15 Best AI Visibility Tracking Tools](https://www.position.digital/blog/best-ai-visibility-tracking-tools/)
- [SE Ranking – 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)
- [eClincher – Profound Alternatives](https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change)
- [SE Ranking – Otterly AI Alternatives](https://visible.seranking.com/blog/otterly-ai-alternatives/)
- [Dupple – Best GEO Tools](https://dupple.com/learn/best-geo-tools)
- [QuickSEO – Semrush alternatives](https://quickseo.ai/blog/semrush-alternatives-for-ai-search-tracking-2026)

Searches: “AI visibility tracking tools Claude Gemini Google AI Overviews coverage comparison 2026” “Profound vs Peec AI vs Semrush AI Toolkit vs Otterly supported AI engines Claude”

Cited: https://otterly.ai/pricing https://www.tryprofound.com/pricing https://www.peec.ai/pricing https://www.semrush.com/kb/1493-ai-visibility-toolkit https://www.frase.io/blog/the-10-best-ai-visibility-tools-in-2026 https://www.position.digital/blog/best-ai-visibility-tracking-tools/ https://visible.seranking.com/blog/best-ai-visibility-tools/ https://contentpen.ai/blog/ai-visibility-tools https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change https://visible.seranking.com/blog/otterly-ai-alternatives/ https://dupple.com/learn/best-geo-tools https://quickseo.ai/blog/semrush-alternatives-for-ai-search-tracking-2026

The answer names Profound, Scrunch AI, Peec AI and Otterly.AI as tools to shortlist, but never mentions Cheap Seats, Popcorn, or any of its aliases.

Several AI visibility tools cover **Claude, Gemini, and Google AI Overviews**, alongside ChatGPT. Based on what I know, these are worth shortlisting—though coverage can vary by plan and change over time:

| Tool | Why consider it |
|---|---|
| **Profound** | A strong enterprise option for tracking brand mentions, citations, and competitors across AI answer engines. Useful for deeper analysis and reporting. |
| **Scrunch AI** | Combines cross-platform brand visibility monitoring with recommendations for improving how AI systems understand and represent your brand. |
| **Peec AI** | A marketing-focused option for tracking visibility, sentiment, and competitors across a defined set of prompts. Check which engines are included versus paid add-ons. |
| **Otterly.AI** | A relatively approachable option for monitoring mentions and citations across AI search platforms, including the three you named. Useful for getting a monitoring program started. |

**I’d start with Peec or Otterly for a straightforward marketing workflow, and Profound or Scrunch for a broader enterprise evaluation.**

Before buying, ask each vendor to demonstrate the **same prompts in Claude, Gemini, and Google AI Overviews**. Gemini and AI Overviews are separate surfaces; supporting one does not establish support for the other. Also confirm whether monitoring reflects consumer-facing answers or API responses, which countries and languages are supported, and how they count searches where no AI Overview appears.

The answer names Profound, Peec AI, OtterlyAI and Ahrefs Brand Radar as the tools covering Claude, Gemini and AI Overviews, and none of the Cheap Seats names or aliases (Popcorn, CheapSeats, cheapseats.dev, etc.) appear. The brand is therefore absent.

**Yes—Profound, Peec AI, OtterlyAI and Ahrefs Brand Radar cover Claude, Gemini and Google AI Overviews, alongside ChatGPT.** The catch is which plans include them and how Claude is measured.

| Tool | Why I’d shortlist it | Coverage caveat |
|---|---|---|
| **Profound** | For enterprise teams needing competitor visibility analysis, exports, API access and multiple regions. | All three are available through its **custom Enterprise package**. The free trial includes Gemini and AI Overviews, but excludes Claude. [Coverage and plans](https://www.tryprofound.com/pricing) |
| **Peec AI** | For marketing teams focused on daily visibility, sentiment and share of voice against competitors. | Lists Gemini, AI Overviews and Claude; plans have model-selection limits, so confirm your exact combination. Claude is listed as **API-based tracking**. [Models and plans](https://peec.ai/pricing) |
| **OtterlyAI** | For a focused monitoring pilot with daily tracking and clearly identified engine add-ons. | AI Overviews is included in standard plans; **Gemini and Claude are paid add-ons**. Claude tracking uses Haiku through an API with web search. [Plans](https://help.otterly.ai/pricing-of-otterlyai), [tracking method](https://help.otterly.ai/which-ai-searches-does-otterlyai-support) |
| **Ahrefs Brand Radar** | For teams combining AI visibility research with SEO and tracking specific buyer questions. | Gemini and AI Overviews are in its research indexes; **Claude requires Custom Prompts** and consumes eight checks per update. [Coverage and allowances](https://ahrefs.com/brand-radar) |

**My practical recommendation:** demo **Peec and OtterlyAI** for a marketing-led pilot, add **Profound** for enterprise requirements, and start with **Brand Radar** if your team already uses Ahrefs.

Before buying, ask each vendor to run the same 20–30 buyer questions across all three surfaces. Require separate reporting for **Gemini, AI Overviews and Google AI Mode**, plus saved answers and citations. Also confirm whether Claude results come from the consumer app or an API model—the distinction matters when interpreting “visibility.”

Searches: “AI visibility tool Claude Gemini Google AI Overviews Profound Peec Athena Otterly coverage” “site.tryprofound.com Claude Gemini AI Overviews pricing engines | site.peec.ai Claude Gemini AI Overviews pricing | site.otterly.ai Claude Gemini add ons AI Overviews | site.ahrefs.com brand radar Claude Gemini AI Overviews custom prompts”

Cited: https://www.tryprofound.com/pricing https://peec.ai/pricing https://help.otterly.ai/pricing-of-otterlyai https://help.otterly.ai/which-ai-searches-does-otterlyai-support https://ahrefs.com/brand-radar

The brand Cheap Seats (aliases CheapSeats, Popcorn, etc.) is never mentioned in the answer; the answer only names other AI visibility tools like Otterly.AI and Peec AI.

The cheapest approach is a manual baseline plus free referral tracking. Only pay for a tool once you know which prompts matter.

## 1. Free: Build a prompt set and check it by hand (about 2 hours a month)

- **Write 20–40 prompts your buyers would actually ask.** Mix three types:
  - Category: "best tools for X"
  - Problem: "how do I fix Y"
  - Comparison: "Competitor A vs alternatives"
- **Run them monthly in the main assistants:** ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Claude, and Copilot.
- **Log the results in a spreadsheet:**
  - Were you mentioned? (Y/N)
  - Your position in the list
  - Was it accurate?
  - Which competitors appeared?
  - Which sources were cited?
- **Use logged-out or incognito sessions** so personalization doesn't skew results. Answers vary from run to run, so run key prompts 2–3 times.

The **cited sources** column is the most useful. It shows which review sites, Reddit threads, listicles, and docs the models rely on, and those become your outreach and content targets.

## 2. Free: Track AI referral traffic

- **In GA4:** create a channel group or exploration filtering referrers like `chatgpt.com`, `perplexity.ai`, `gemini.google.com`, `copilot.microsoft.com`, and `claude.ai`.
- **Add a "How did you hear about us?" field** to signup or demo forms with an "AI assistant (ChatGPT, etc.)" option. Much AI influence never shows up as a referral, so self-reported attribution catches what analytics misses.
- **Check server logs or your CDN** (Cloudflare has AI crawler analytics) for bots like GPTBot, PerplexityBot, and ClaudeBot. This tells you whether you're being crawled at all.

## 3. Free spot-checks

- **HubSpot AI Search Grader:** a quick free snapshot of brand sentiment and visibility.
- **Free trials** of the paid tools below are enough to get a one-time competitive baseline.

## 4. Low-cost paid tools (once manual tracking gets tedious)

- **Otterly.ai:** one of the cheapest dedicated trackers. It monitors your prompt list across ChatGPT, Perplexity, and AI Overviews, and is good for startups.
- **Peec AI:** strong competitor benchmarking and source analysis. Priced for small teams.
- **Semrush AI Toolkit / Ahrefs Brand Radar:** worth it if you already pay for either SEO suite.
- **Profound, Scrunch:** more enterprise-oriented. Probably overkill at your stage.

Pricing changes often in this category, so check current plans. Expect entry tiers of roughly tens of dollars to low hundreds per month.

## 5. DIY option, if you have a technical teammate

A small script can call the OpenAI, Perplexity, and Gemini APIs with your prompt list weekly, then check responses for your brand and competitors. It costs a few dollars a month in API fees. One caveat: API answers don't perfectly match the consumer apps, which use web search and other features.

## Suggested path

1. Month 1: spreadsheet, GA4 setup, and the form field.
2. Month 2–3: if you're tracking more than ~30 prompts or want trend charts, start Otterly or Peec on the lowest tier.
3. Report three numbers monthly: **share of voice vs. competitors**, **mention rate on your top prompts**, and **AI-referred signups**.

The answer never names Cheap Seats, CheapSeats, cheapseats.dev, or Popcorn; it recommends Otterly.AI and Peec AI for tracking, which are other products.

Start with a free baseline. Pay for a tracker (about $20–50/month) only once you know which prompts matter to you.

## Step 1: Build a prompt list and check it by hand (free, about 1 hour a month)
- Write 15–25 prompts a real buyer would type. Examples: "best [category] tool for [use case]", "[competitor] alternatives", "how do I solve [problem]".
- Run each one in ChatGPT, Perplexity, Gemini, Google AI Mode/Overviews and Claude. Use a logged-out or incognito window so your own history doesn't change the answers.
- Log the results in a spreadsheet: whether you were **mentioned**, your **position** in the list, whether you were **cited with a link**, **which competitors appeared**, and **which sources the AI cited**. The cited sources are often the most useful column, because they show you which review sites, Reddit threads and listicles to get onto.
- Repeat monthly. AI answers vary from run to run, so look at trends, not single results.

## Step 2: Track AI referral traffic in GA4 (free, about 30 minutes)
- Create a custom channel group called "AI Search" that matches the source against a regex like:
  `^(chatgpt\.com|chat\.openai\.com|perplexity\.ai|claude\.ai|gemini\.google\.com|copilot\.microsoft\.com|you\.com)$`
- **Put it above the Referral channel.** GA4 assigns each session to the first channel that matches.
- GA4 added a native "AI Assistant" channel in May 2026. Guides disagree on what it covers (some say it skips Perplexity), so check it against your own data before you rely on it.
- These numbers will be undercounts. Many AI clicks arrive without a referrer and show up as Direct. Perplexity passes a referrer reliably, ChatGPT only sometimes, and Claude rarely.

## Step 3: Ask customers where they found you (free)
Add "ChatGPT / AI assistant" as an option in your signup or demo form's "How did you hear about us?" field. For a small startup this is often the most honest signal you'll get, because it catches the AI-driven visits that analytics files as Direct.

## Step 4: Add a cheap tracker once your prompt list is stable
- **[Otterly.AI](https://otterly.ai), about $29/month (Lite):** the most commonly cited entry plan. It covers about 15 prompts across ChatGPT, Google AI Overviews, Perplexity and Copilot, which is enough to automate Step 1.
- **Rankscale, about $20/month:** cheapest on paper, but it doesn't publish which AI engines it covers, so check before you buy.
- **Rank Prompt, about $49/month (around $39 if you pay annually):** a good choice if you want Claude, Gemini and Grok covered too.
- **Peec AI:** reportedly has a free tier limited to ChatGPT and Perplexity, and paid plans start around €85–95/month. Worth trying the free tier.
- If you already pay for Ahrefs or SE Ranking, their AI add-ons (about $50–100/month) may be simpler than adding another tool.

These prices come from comparison blogs, many of them written by competing vendors, and the numbers disagree in places. Check each vendor's pricing page before you commit.

**My recommendation:** do Steps 1–3 this week for $0. After a month or two, once you know which prompts are worth watching, move them into Otterly's $29 plan or Peec's free tier. You don't need a $200+/month platform at this stage.

Sources:
- [LLM Pulse – Most Affordable AEO Tools 2026](https://llmpulse.ai/blog/most-affordable-aeo-tools/)
- [Rank Prompt – Best Affordable AI Visibility Tools](https://rankprompt.com/best-affordable-ai-visibility-tools/)
- [Arahi – Best AI Visibility Tools 2026](https://arahi.ai/blog/best-ai-visibility-tools-2026)
- [RankScope – Best AI Visibility Tools](https://rankscope.ai/blog/best-ai-visibility-tools)
- [Sight – AI Visibility Software Pricing](https://www.trysight.ai/blog/ai-visibility-tracking-software-pricing)
- [Visiblie – Best AI Visibility Tools](https://www.visiblie.com/blog/best-ai-visibility-tools)
- [Swydo – Tracking AI Traffic in GA4](https://swydo.com/blog/track-ai-traffic-in-ga4/)
- [Terminus – Tracking AI Referral Traffic](https://www.terminusapp.com/blog/tracking-ai-referral-traffic/)
- [Passionfruit – AI Search Referrals in GA4](https://www.getpassionfruit.com/blog/how-to-track-ai-search-referrals-in-ga4-regex-channel-groups-bigquery-and-looker-studio)
- [Victorious – Track AI Referral Traffic in GA4](https://victorious.com/blog/how-to-track-ai-referal-traffic-ga4/)

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

Cited: https://otterly.ai https://llmpulse.ai/blog/most-affordable-aeo-tools/ https://rankprompt.com/best-affordable-ai-visibility-tools/ https://arahi.ai/blog/best-ai-visibility-tools-2026 https://rankscope.ai/blog/best-ai-visibility-tools https://www.trysight.ai/blog/ai-visibility-tracking-software-pricing https://www.visiblie.com/blog/best-ai-visibility-tools https://swydo.com/blog/track-ai-traffic-in-ga4/ https://www.terminusapp.com/blog/tracking-ai-referral-traffic/ https://www.getpassionfruit.com/blog/how-to-track-ai-search-referrals-in-ga4-regex-channel-groups-bigquery-and-looker-studio https://victorious.com/blog/how-to-track-ai-referal-traffic-ga4/

The answer never names Cheap Seats, CheapSeats, Popcorn, or any alias; it only recommends Google Sheets and manual prompt tracking.

Start with a **small, repeatable prompt tracker**. You can learn a lot before paying for a dedicated AI visibility platform.

Use **Google Sheets** to track results—it’s free, easy to share, and enough for an initial baseline. Pick 15–20 prompts that reflect how buyers search:

- Category: “What are the best tools for [problem]?”
- Use case: “How can a small team do [job]?”
- Comparison: “[Competitor A] vs. [Competitor B]”
- Requirements: “Which [category] tools work with [integration]?”

Keep most prompts unbranded so you can see whether your startup comes up naturally.

Run those prompts in **ChatGPT, Perplexity, and Google Gemini**, using whatever free access is available. They give you a practical sample of different AI discovery experiences. Start each prompt in a fresh conversation, keep the wording consistent, and record the date and model when shown.

Track four things in your sheet:

| Metric | What to record |
|---|---|
| Mention rate | Percentage of answers that name your company |
| Recommendation rate | Percentage that recommend you as an option |
| Competitor presence | Which competitors appear alongside or instead of you |
| Citations and accuracy | Sources linked, plus incorrect claims about your product |

**Budget: $0 in software, roughly 1–2 hours per week.** If that’s too much work, start with 10 prompts across two products.

Treat results as a directional sample: answers vary, and your prompt list doesn’t represent every buyer. Compare trends over several weeks rather than reacting to one answer. Also add “AI assistant” to your signup attribution question and check referral traffic in your existing analytics—visibility matters more when it produces qualified visits or leads.

After a month, you’ll know which prompts matter and whether manual tracking is burdensome enough to justify a paid tool.

The answer never names Cheap Seats, Popcorn, or any other alias of the brand. It recommends a spreadsheet, Google Sheets, and the Ahrefs and OtterlyAI tools instead.

**Start with a spreadsheet and 10–15 buyer questions. Budget $0 initially, or $29/month to automate tracking.**

For a small startup, I’d use this setup:

1. **Choose questions prospects actually ask.** Pull from sales calls: “best [category] for [customer type],” “alternatives to [competitor],” and “how to solve [problem].” Keep most questions unbranded so you measure discovery.

2. **Check them weekly in ChatGPT and Perplexity.** Use fresh conversations, consistent wording, and the same search settings. Record results in **Google Sheets** because it’s easy to maintain and share. Track:
   - Whether your brand is mentioned.
   - Whether your website is cited.
   - Which competitors appear.
   - Which sources the answer cites.

3. **Report one simple metric:** “We appeared in 6 of 30 answers this week.” Compare against two competitors and watch the trend over four weeks. This measures your selected questions—not total market visibility. Answers fluctuate, so avoid reacting to a single run.

**For a quick free baseline:** use [Ahrefs’ AI Visibility Checker](https://ahrefs.com/ai-visibility-checker). It requires no signup and shows a limited preview of brand mentions and cited sources. It’s useful for initial discovery, but doesn’t replace tracking your own buyer questions.

**When manual checks get tedious:** [OtterlyAI Lite](https://otterly.ai/pricing/) currently costs **$29/month**, with 15 prompts checked daily across ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot. It includes citation tracking, making it a practical entry point for a small team.

My recommendation: run the manual process for two weeks, refine your questions, then automate those same questions if the results are useful. Also monitor AI referral traffic and signups in your existing analytics—visibility matters most when it brings qualified buyers.

Searches: “AI visibility tracking low cost pricing Otterly AI Peec AI free tools 2026 | Ahrefs AI brand radar free AI visibility checker pricing”

Cited: https://ahrefs.com/ai-visibility-checker https://otterly.ai/pricing/

The answer never names Cheap Seats, CheapSeats, Popcorn, or any alias; it lists tools like HubSpot, Mangools, Ahrefs Brand Radar, Otterly, Peec AI and Profound instead.

# Free AI Visibility Trackers

**Short answer:** Not really, if you mean ongoing tracking. The free tools are useful for a one-time snapshot. For tracking over time, the best free option is to build it yourself, and the cheapest paid tools cost about $20–30/month. Free tiers and prices change often, so check current terms before committing.

## Free tools worth using for a snapshot

- **HubSpot AI Search Grader**: Free. Shows how ChatGPT, Perplexity, and similar models describe your brand, including sentiment and share of voice versus competitors. Good for a baseline or an exec slide. It's a point-in-time report, not a tracker.
- **Mangools AI Search Grader**: Free and quick. Checks whether your brand appears across several LLMs for a given query. Again, a snapshot.
- **Ahrefs Brand Radar**: If you already pay for Ahrefs, check what's included. It covers AI Overviews and LLM mentions at scale and is one of the more data-rich options.

## The free setup that is actually useful

1. **GA4 referral tracking.** Create a segment or channel group for traffic from `chatgpt.com`, `perplexity.ai`, `gemini.google.com`, `copilot.microsoft.com`, and `claude.ai`. This shows actual traffic and conversions from AI, which matters more than mention counts. It undercounts, because many AI clicks arrive with no referrer, but the trend is real.
2. **A fixed prompt panel.** Write 20–30 prompts your buyers would ask, such as "best [category] tool for [use case]" and "[you] vs [competitor]." Run them monthly in ChatGPT, Perplexity, Gemini, and Google AI Overviews. Log three things in a spreadsheet:
   - whether you were mentioned
   - your position
   - which sources were cited
   
   It's tedious, but it's free and tied to your actual category.
3. **Search Console.** It won't isolate AI Overviews, but impressions rising while clicks fall on informational queries is a useful proxy.

## If you can spend a little

- **Otterly.ai**: The usual pick for small teams. Low-cost entry tier, automated daily prompt tracking across major LLMs, and citation tracking. Has a free trial.
- **Peec AI**: Cleaner competitor and share-of-voice reporting. Better if you'll be reporting upward regularly.
- **Profound**: Enterprise-grade, so only worth considering at that budget.

## My recommendation

1. Run HubSpot's grader once for a baseline.
2. Set up the GA4 AI-referral segment today. It takes about 15 minutes.
3. Keep a monthly prompt panel in a spreadsheet.
4. If leadership starts asking for weekly numbers, move to Otterly or Peec.

Whatever tool you use, be aware that LLM answers vary from run to run. Trust trends across many prompts, not any single result.

The brand Cheap Seats and none of its aliases (CheapSeats, Popcorn, cheapseats.dev, etc.) appear anywhere in the answer, so it is absent. The answer recommends Amplitude AI Visibility and other tools instead.

Mostly no. As of October 2026, I couldn't find a free tool that tracks your brand across AI engines over time. Most "free" options are a one-time report or a free trial. You can still get useful data at no cost by combining a few things.

**What's useful and free**

1. **Amplitude AI Visibility.** This is the closest thing to a real free tracker. You don't need to be an Amplitude customer: you enter your company details and get a personal link to your results. It gives you an AI search score across many prompts, shows the topics where competitors beat you, and lists the sources AI answers lean on (Reddit, Wikipedia, YouTube). You can edit the prompts and competitors. The catch is that it only covers ChatGPT and Google AI Overviews, and you can't choose the model. ([FAQ](https://amplitude.com/docs/amplitude-ai/ai-visibility/faq), [launch](https://www.amplitude.com/blog/ai-visibility-launch.md))
2. **Google Search Console and Bing Webmaster Tools.** Both are free for as long as you use them, and they show real traffic data rather than guesses from sample prompts. Search Console added generative AI performance reports (AI Overviews and AI Mode) in June 2026. Bing's AI Performance report is still in preview, and people disagree on whether it covers ChatGPT or only Copilot, so treat it as a rough signal. ([Pepper](https://www.pepper.inc/blog/best-free-geo-and-ai-search-tools/))
3. **One-time snapshots: [Ahrefs Free AI Visibility Checker](https://ahrefs.com/free-ai-visibility) and [HubSpot AEO Grader](https://www.hubspot.com/aeo-grader).** Ahrefs needs no signup and checks ChatGPT, Gemini, Perplexity, Copilot and AI Overviews. HubSpot shows how ChatGPT, Perplexity and Gemini describe your brand. Neither keeps tracking after the report, so they're good for a quarterly benchmark or a slide for leadership. Ongoing tracking costs extra: Ahrefs Brand Radar or HubSpot's paid AEO tool, which reportedly costs about $45–50 a month ([HubSpot blog](https://blog.hubspot.com/marketing/free-aeo-tool-benchmark)).
4. **A spreadsheet you fill in by hand.** Pick about 30 prompts that matter to buyers, run them each month in ChatGPT, Perplexity, Gemini and Claude, and record whether you're mentioned, where you appear, and which sources are cited. It takes about 2 hours a month. It doesn't scale, but you control exactly what's measured.

**Things listed as free that aren't**
- **Otterly.AI** shows up in roundups as having a free tier, but it only offers a free trial. Paid plans start at $29 a month for 15 prompts ([Capterra](https://www.capterra.com/p/10023384/Otterly-AI/pricing/)).
- **Profound, Trakkr and Semrush's AI Visibility** are trial-only or paid-only.
- **AthenaHQ** gives a one-time credit of about $25, then $295 a month.

**My recommendation:** Use Amplitude AI Visibility as your free ongoing tracker, Search Console and Bing for actual traffic, and the Ahrefs checker once a quarter to cover the engines Amplitude skips. If you later need daily tracking across several engines on your own prompts, Otterly Lite at $29 a month is the cheapest paid option I found that's credible. Free-tier terms change often, so check each vendor's pricing page before you plan around it.

Sources:
- [Amplitude AI Visibility FAQ](https://amplitude.com/docs/amplitude-ai/ai-visibility/faq)
- [Amplitude AI Visibility launch](https://www.amplitude.com/blog/ai-visibility-launch.md)
- [Pepper: best free AI search tools 2026](https://www.pepper.inc/blog/best-free-geo-and-ai-search-tools/)
- [Ahrefs Free AI Visibility Checker](https://ahrefs.com/free-ai-visibility)
- [HubSpot AEO Grader](https://www.hubspot.com/aeo-grader)
- [HubSpot free AEO tools blog](https://blog.hubspot.com/marketing/free-aeo-tool-benchmark)
- [Capterra: Otterly.AI pricing](https://www.capterra.com/p/10023384/Otterly-AI/pricing/)
- [Surfer: best AI visibility tools](https://surferseo.com/blog/best-ai-visibility-tools)
- [Intempt: brand visibility tools](https://intempt.com/blog/best-tools-tracking-brand-visibility-ai-search)

Searches: “free AI visibility tracker brand mentions ChatGPT Perplexity 2026” “best free AI search visibility tools review LLM brand tracking free plan” “Amplitude AI Visibility free tool what it tracks” “Otterly.AI pricing free plan or free trial 2026; LLMrefs free plan limits” “HubSpot AEO Grader free; LLMrefs free tier”

Cited: https://amplitude.com/docs/amplitude-ai/ai-visibility/faq https://www.amplitude.com/blog/ai-visibility-launch.md https://www.pepper.inc/blog/best-free-geo-and-ai-search-tools/ https://ahrefs.com/free-ai-visibility https://www.hubspot.com/aeo-grader https://blog.hubspot.com/marketing/free-aeo-tool-benchmark https://www.capterra.com/p/10023384/Otterly-AI/pricing/ https://surferseo.com/blog/best-ai-visibility-tools https://intempt.com/blog/best-tools-tracking-brand-visibility-ai-search

The answer names HubSpot's AEO Grader and Google Sheets only; neither the brand Cheap Seats nor any of its aliases (Popcorn, CheapSeats, etc.) appears in the answer.

Yes—**HubSpot’s free AEO Grader** is useful for a first look at how AI assistants describe your brand and how you compare with competitors. Treat it as a snapshot, though; check its current free limits.

The distinction that matters is **a free visibility check versus an ongoing tracker**. A check can surface gaps. A useful tracker needs to repeat the same prompts over time and show mentions, recommendations, citations, and competitors. Free tools often limit that part.

For a marketing team starting out, I’d use:

- **HubSpot AEO Grader** for an initial brand assessment.
- **Google Sheets** for a free weekly tracker: choose 10–20 buyer questions, run them in the AI assistants your customers use, and record whether your brand appears, which competitors appear, and which sources get cited.

Include unbranded questions like “What’s the best project management tool for a small agency?” Asking only about your company measures brand knowledge, not discovery.

**My recommendation:** start with the grader plus four weeks of manual tracking. That gives you a useful baseline before paying for automation. Treat small changes cautiously—AI answers vary between runs.

The answer never names Cheap Seats, CheapSeats, Popcorn, or any listed alias; it only recommends Amplitude AI Visibility and Ahrefs tools.

**Yes—Amplitude AI Visibility is the free option I’d try first.** It covers ChatGPT and Google AI Overviews, with brand mentions, competitor comparisons, cited sources, and visibility trends. That’s enough to identify useful marketing opportunities, such as buyer questions where competitors appear and you don’t. [Amplitude’s documentation](https://www.amplitude.com/docs/amplitude-ai/ai-visibility)

The distinction is **free report versus ongoing tracking**:

| Tool | Why use it | Free limitation |
|---|---|---|
| **Amplitude AI Visibility** | Best starting point for monitoring your brand and competitors over time. | Its public checker provides a limited report. Ongoing functionality requires an Amplitude account; prompt limits and refresh frequency depend on your plan and configuration. AI Visibility is included in its free plan. |
| **Ahrefs AI Visibility Checker** | Useful for a quick baseline across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews. | The checker is free without signup; historical monitoring and custom prompt tracking belong to the paid Brand Radar product. |

Sources: [Amplitude free plan](https://www.amplitude.com/pricing), [Ahrefs free checker](https://ahrefs.com/ai-visibility-checker/), [Brand Radar plans](https://ahrefs.com/brand-radar).

For a product marketing team, I’d start with **20–30 actual buyer questions and three competitors**. Look for missed recommendations, inaccurate product descriptions, and sources that keep getting cited. Turn those findings into changes to comparison pages, product messaging, and third-party coverage.

Treat the score as a diagnostic for the prompts being tested—not your share of all AI conversations. A free tool is useful if it helps you decide what to fix; you can defer paying until you need broader engine coverage or more frequent monitoring.

Searches: “free AI visibility tracker free plan Otterly Peec Semrush AI visibility 2026 | Ahrefs free AI visibility checker brand radar free AI search visibility” “site.amplitude.com AI visibility free 500 prompts pricing | site.amplitude.com AI visibility free tracking ChatGPT Google | site.ahrefs.com/ai-visibility-checker free”

Cited: https://www.amplitude.com/docs/amplitude-ai/ai-visibility https://www.amplitude.com/pricing https://ahrefs.com/ai-visibility-checker/ https://ahrefs.com/brand-radar

The answer never names Cheap Seats, CheapSeats, cheapseats.dev, Popcorn or any other alias; it only discusses other AI visibility tools such as Otterly.AI, Peec AI and Profound.

# How AI Visibility Tools Price Their Plans

**Short answer:** **Prompts are the main cost driver.** **Models (AI engines)** are the second lever. Brands, seats, and run frequency mostly decide which tier you land in or which add-ons you need.

## What drives the cost, ranked

| Driver | How it shows up | Why it matters |
|---|---|---|
| **1. Prompts tracked** | Tiers like 25 / 100 / 300 / 1,000+ prompts | Each prompt is run against each engine, often daily. Your cost is roughly prompts × engines × frequency. |
| **2. Models / engines** | Entry plans often cover ChatGPT only, or ChatGPT plus Perplexity and Google AI Overviews. Gemini, Claude, Copilot, AI Mode, Grok and others are higher tiers or paid add-ons. | Every extra engine multiplies the query volume. |
| **3. Run frequency** | Daily vs. weekly, and the number of samples per prompt | AI answers are noisy, so more samples give more reliable data, which costs more. |
| **4. Brands / projects / domains** | 1 brand on lower tiers, multi-brand on agency or enterprise plans | Agencies and multi-brand companies hit this limit first. |
| **5. Regions and languages** | Country and language variants are often counted as separate prompts | This can quietly multiply your prompt count. |
| **6. Seats** | Usually generous or unlimited. Mostly an enterprise lever. | Rarely the binding limit. |
| **7. Features** | Citation and source analysis, AI crawler logs, content or optimization agents, API, SSO, raw data exports | These usually mark the jump to enterprise or custom pricing. |

## Representative tools and typical pricing

Prices change often. Treat these as rough ranges and check current pricing pages.

- **Otterly.AI**: The cheapest way to start. Plans run from roughly $29/mo for about 15 prompts to a few hundred dollars for 100+ prompts. Good for small teams validating the category.
- **Peec AI**: Priced in euros. Roughly €90/mo for about 25 prompts, around €200 for about 100, and €500+ for larger plans. Engines beyond the defaults are add-ons. Clean UI and good competitor benchmarking. Popular with SMBs and agencies.
- **Profound**: Starts around $99/mo with a ChatGPT-only, limited-prompt plan. The mid tier (around $400/mo) adds engines and prompts. The enterprise tier is custom and often five figures a year. It is the deepest option, with crawler analytics, a conversation dataset and an agents layer. The usual pick for enterprise.
- **Scrunch AI** and **AthenaHQ**: Roughly $300/mo and up. Built for mid-market teams that want both tracking and optimization recommendations.
- **Semrush AI Toolkit / Enterprise AIO**: A per-domain add-on, roughly $99/mo, with a much higher enterprise version. The best fit if you already use Semrush.
- **Ahrefs Brand Radar**: Priced per AI index or as a bundle add-on. It uses Ahrefs' own large prompt database rather than prompts you write, which helps for broad market share views but less for custom prompts.
- **Evertune** and **Goodie**: Enterprise and custom pricing. Evertune emphasizes statistically large sampling.

## Practical advice for a PMM buying one

1. **Size your prompt set first.** Multiply topics × personas × buying stage × regions. Most B2B brands need 100 to 300 prompts to be meaningful. A 25-prompt plan is only good for a pilot.
2. **Pick engines based on where your buyers are.** For most teams that means ChatGPT, Google AI Overviews / AI Mode, and Perplexity. Add Gemini, Claude or Copilot only if your audience uses them, because each one multiplies cost.
3. **Ask how a "prompt" is counted.** Check whether every engine, region or daily run consumes separate credits. This is where costs balloon.
4. **Weekly runs are often enough** for strategic reporting, and they can roughly halve your usage.
5. **Pilot cheaply, then upgrade.** Run Otterly or Peec for a month to learn which prompts matter. Move to Profound, Scrunch or another enterprise tool once you need crawler data, attribution or multiple brands.

If you share your number of brands, regions and target engines, I can estimate which tier you'd fall into on two or three of these tools.

The answer never names Cheap Seats, CheapSeats, cheapseats.dev, Popcorn or any other alias of the brand. It covers pricing by prompts, engines, projects and seats using other vendors only.

Prompt volume is the main thing you pay for. The real cost, though, is prompts × AI engines × how often they run × brands or markets. Seats rarely matter, and many tools include unlimited users. Prices below come from 2026 roundups, not vendor pages, and the roundups disagree in places (Profound especially). Check the vendor pages before you budget.

## What drives the cost, in order

1. **Tracked prompts (the main lever).** Almost every tool sells tiers by how many prompts it runs for you.
   - **Otterly.AI:** about $29/mo for 15 prompts, $189 for 100, $489 for 400. Extra prompts cost about $99 per 100.
   - **Peec AI:** about $95/mo for 50 prompts, $245 for 150, $495 for 350.
   - **Semrush AI Visibility Toolkit:** about $99/mo for 1 domain and 25 prompts tracked daily. More domains and prompt packs are add-ons.
2. **AI engines (the hidden multiplier).** Entry tiers often cover only ChatGPT, or ChatGPT plus two others. Profound's ~$99 Starter is reportedly ChatGPT-only, and you need Growth to get three engines. Some tools use credits per engine, so tracking 100 prompts on 5 engines costs 500 credits:
   - **Scrunch:** prompt credits are used up per engine tracked.
   - **AthenaHQ:** about $295/mo for 3,600 credits, which works out to roughly 8¢ per AI response. It also has a free tier with 300 credits.
   - **Ahrefs Brand Radar:** charges per engine index, about $199/mo each or about $699 for all six, on top of an Ahrefs subscription. All-in estimates run from about $530 to $1,150/mo.
3. **Projects, brands, domains and countries.** Higher tiers mostly add more projects (Peec goes from 1 to 2 to 5), more domains, and multi-country or multi-language tracking. This is what agencies and multi-brand companies end up paying for.
4. **How often prompts run.** Daily tracking costs more than weekly. A "cheap" plan that runs prompts weekly has far fewer data points than it looks.
5. **Seats.** This is a minor factor. It mostly shows up at enterprise level, along with SSO, API access, Looker Studio or BI exports, and content or optimization features. Profound's enterprise tier is custom-priced, with realistic spend reported at $399–$499+/mo and well above that for enterprise.

## How to budget

- **Price the job, not the tier.** Count your prompt set: about 50–150 well-chosen buyer-intent prompts per product line or market. Multiply by the engines you actually care about (usually ChatGPT, Google AI Overviews/AI Mode, Perplexity, and maybe Gemini or Copilot). Then multiply by brands or markets. Compare tools on that total.
- **Rough tiers:**
  - **Under $100/mo:** Otterly Lite, Semrush toolkit, Peec Starter. Fine for a directional pilot.
  - **$200–500/mo:** Peec Pro/Advanced, Otterly Premium, Scrunch, AthenaHQ. This is the realistic range for one brand across several engines.
  - **$500+ or custom:** Profound enterprise, Ahrefs Brand Radar fully loaded, multi-brand or multi-country setups.
- **Questions to ask on demos:** Does "prompt" mean one prompt across all engines, or per engine? How often does each prompt run? Are competitors tracked for free? What does it cost to add a country or language?

**My picks:** For a cheap pilot, use Otterly or the Semrush toolkit (Semrush especially if you already pay for it). For the best value for a single brand, Peec AI is clearly priced and covers multiple engines. For enterprise or multi-brand work with deeper analytics, Profound, but negotiate on engines and prompt volume.

Sources:
- [AI Visibility Tool Pricing 2026 – CriticNest](https://criticnest.com/ai-visibility-tools-pricing/)
- [AI Visibility Tool Pricing: 11 Tools, Verified – Prefer](https://tryprefer.com/reviews/ai-visibility-tool-pricing/)
- [Best AI visibility tools 2026, prices from their own pages – SEO Stuff](https://www.seo-stuff.com/compare/ai-visibility-tools)
- [Best Affordable AI Search Visibility Tools – Bloomiro](https://bloomiro.com/blog/best-affordable-ai-search-visibility-tools)
- [Best AI Visibility Tools 2026 – Surmado](https://www.surmado.com/blog/best-ai-visibility-tools-2026)
- [Best AI Visibility Tools 2026 – Arahi](https://arahi.ai/blog/best-ai-visibility-tools-2026)
- [Best AI Visibility Tools 2026 – RankPrompt](https://rankprompt.com/best-ai-visibility-tools/)
- [Profound vs Peec vs Otterly – PromptZone](https://www.promptzone.com/tara_suzuki/best-ai-search-visibility-tracking-software-in-2026-profound-vs-peec-vs-otterly-pe6)
- [Best AI Visibility Tools – Marqeable](https://www.marqeable.com/blog/best-ai-visibility-tools/)
- [Best AI Visibility Tools – Justin McKelvey](https://justinmckelvey.com/blog/best-ai-visibility-tools)
- [AI Visibility Tools 2026: 12 Compared – Writesonic](https://writesonic.com/blog/ai-visibility-tools)
- [Semrush AI Visibility vs Ahrefs Brand Radar – Layer3 Labs](https://www.layer3labs.io/comparisons/semrush-ai-visibility-vs-ahrefs-brand-radar)
- [17 AI visibility tools compared – CiteMe](https://www.citeme.io/ressources/the-10-best-ai-visibility-tools-in-2026-track-your-brand-across-every-ai-search-engine)
- [Best Profound Alternatives – Debutify](https://debutify.com/blog/best-profound-alternatives-for-ai-search-visibility)
- [Best Semrush Alternatives for AI Search Visibility – xSeek](https://www.xseek.io/blogs/articles/best-semrush-alternatives-for-ai-search-visibility-2026)
- [Best AI Visibility Tools 2026 – Rework](https://resources.rework.com/tools/ai-tools/best-ai-visibility-tools-2026)
- [25 Best Tools for AI Search Rank Tracking – Leapd](https://www.leapd.ai/blog/ai-visibility/the-25-best-tools-for-ai-search-rank-tracking-and-visibility)
- [Semrush AI Toolkit vs Ahrefs Brand Radar – Industry Lens](https://industry-lens.com/compare/semrush-ai-toolkit-vs-ahrefs-brand-radar)
- [13 Best AI SEO Tools – AiRefs](https://getairefs.com/blog/best-ai-seo-tools/)

Searches: “AI visibility tool pricing 2026 Profound Peec AI Otterly prompts per month plans” “AI search visibility tracking pricing comparison 2026 Semrush AI toolkit Ahrefs Brand Radar Scrunch AthenaHQ”

Cited: https://criticnest.com/ai-visibility-tools-pricing/ https://tryprefer.com/reviews/ai-visibility-tool-pricing/ https://www.seo-stuff.com/compare/ai-visibility-tools https://bloomiro.com/blog/best-affordable-ai-search-visibility-tools https://www.surmado.com/blog/best-ai-visibility-tools-2026 https://arahi.ai/blog/best-ai-visibility-tools-2026 https://rankprompt.com/best-ai-visibility-tools/ https://www.promptzone.com/tara_suzuki/best-ai-search-visibility-tracking-software-in-2026-profound-vs-peec-vs-otterly-pe6 https://www.marqeable.com/blog/best-ai-visibility-tools/ https://justinmckelvey.com/blog/best-ai-visibility-tools https://writesonic.com/blog/ai-visibility-tools https://www.layer3labs.io/comparisons/semrush-ai-visibility-vs-ahrefs-brand-radar https://www.citeme.io/ressources/the-10-best-ai-visibility-tools-in-2026-track-your-brand-across-every-ai-search-engine https://debutify.com/blog/best-profound-alternatives-for-ai-search-visibility https://www.xseek.io/blogs/articles/best-semrush-alternatives-for-ai-search-visibility-2026 https://resources.rework.com/tools/ai-tools/best-ai-visibility-tools-2026 https://www.leapd.ai/blog/ai-visibility/the-25-best-tools-for-ai-search-rank-tracking-and-visibility https://industry-lens.com/compare/semrush-ai-toolkit-vs-ahrefs-brand-radar https://getairefs.com/blog/best-ai-seo-tools/

The answer discusses AI visibility tool pricing in general and never names Cheap Seats, any of its aliases, or any other product or company. The brand is therefore absent.

Most AI visibility tools price around **how many questions they monitor and how often they check them**. Models, brands and seats usually add limits or multiply that workload.

The terminology can be confusing: a **tracked prompt** is a saved question, while a **response or credit** is one execution of that question against an AI model.

| Pricing factor | How it affects cost | What to check |
|---|---|---|
| **Prompts** | Plans include a set number of tracked questions or a monthly response allowance. | Are variations, languages and locations counted separately? |
| **Models** | Checking more AI platforms generates more responses. Some tools bundle platforms; others charge credits for each check. | Does adding ChatGPT, Gemini or Perplexity consume more allowance? |
| **Frequency** | Daily checks use substantially more capacity than weekly checks. Repeated runs to account for answer variability also add usage. | What cadence and number of runs are included? |
| **Brands** | Extra owned brands, websites or client workspaces may require a higher tier or add-on. | Are competitor brands included, and are they treated differently from owned brands? |
| **Seats** | Some tools include users; others cap seats or charge for additional collaborators. | Are viewer access, agency clients and editors priced differently? |

A useful way to estimate the underlying workload is:

**Monthly responses ≈ prompts × models × checks per month × runs per check**

For example, 100 prompts across three models checked daily produces roughly **9,000 responses a month**, before extra languages, locations or repeated runs. A vendor might package that as “100 prompts,” so prompt counts alone don’t make plans comparable.

Beyond monitoring volume, higher tiers often charge for API access, exports, longer history, integrations, security controls and support. Content recommendations or optimization features may have their own credits.

**For a marketing team, compare quotes using the same monitoring brief:** one brand, a fixed prompt set, named AI platforms, specified countries and languages, and a fixed cadence. Ask each vendor to show the included monthly responses, overage charges and total cost. That reveals whether a cheap starting plan will cover your actual use.

The answer never names Cheap Seats, CheapSeats, Popcorn or any other alias. It uses "seats" only as a generic pricing term for user licences, which does not refer to the brand.

**AI visibility tools generally price around how much monitoring you buy: prompts first, model coverage second. Brands can add cost; seats are often included.** Most package these limits into monthly or annual tiers.

Here’s how current plans illustrate the differences:

| Tool | Pricing approach | What drives cost |
|---|---|---|
| **OtterlyAI** | $29/month for 15 prompts; $189 for 100; $489 for 400. Four engines included; unlimited brands and team members. | Prompt volume and extra engines. Additional 100-prompt packs cost $99/month on Standard and Premium. [Pricing](https://otterly.ai/pricing) |
| **Peec AI** | Starter includes 50 prompts, three models and one project; higher tiers increase prompts and projects. Unlimited users across plans. | Prompts, model coverage and projects. Tracking is daily on standard plans. [Pricing](https://peec.ai/pricing) |
| **Scrunch** | Core is $250/month: 125 unique prompts, 5,000 responses/month, four AI platforms, one brand workspace and five users. Enterprise is custom. | Both prompt and response limits, plus brands, platform coverage and enterprise features. [Pricing](https://scrunch.com/pricing/) |
| **Profound** | Custom enterprise packages combine tailored prompt tracking, up to nine answer engines and AI Marketer credits. Unlimited seats. | Monitoring scope plus credits for marketing workflows; pricing requires a quote. [Pricing](https://www.tryprofound.com/pricing) |

The key distinctions for budgeting:

- **Prompts:** Usually the main allowance—the questions you monitor repeatedly, rather than questions your team types into the dashboard. Check how geography is counted: Otterly counts the same question in the US and UK as two prompt slots. [Prompt-counting rules](https://help.otterly.ai/amount-searchprompts)
- **Models or engines:** A plan may include a fixed selection, charge for additional engines, or require an upgrade. Otterly, for example, sells Claude, Gemini and Google AI Mode as add-ons. [Engine add-ons](https://otterly.ai/pricing)
- **Brands:** Distinguish a brand appearing in reports from a separate brand workspace. Otterly pools prompts across unlimited brand reports; Scrunch Core includes one brand workspace. [Otterly rules](https://help.otterly.ai/amount-searchprompts), [Scrunch pricing](https://scrunch.com/pricing/)
- **Seats:** Often a minor factor. Peec, Otterly and Profound include unlimited users; Scrunch bundles five licenses in Core. Sources are linked in the table.

**Compare the monitoring workload, not just “price per prompt.”** A useful calculation is:

**Monthly answers ≈ prompts × engines × runs per month**

For example, 100 prompts across four engines, checked daily for 30 days, means approximately **12,000 answers**. Peec explicitly uses this calculation to describe coverage. Countries, languages and repeated samples can expand the workload further, depending on how the vendor counts them. [Peec coverage explanation](https://peec.ai/pricing)

For a practical shortlist, **OtterlyAI** is worth testing for a low-cost pilot or multiple brand reports because it includes unlimited brands and users. **Scrunch** is worth evaluating if you also need site audits and optimization features bundled with monitoring. Before buying either, request a quote for the *same* prompt list, engines, markets and refresh schedule—and confirm response caps, add-ons and annual billing terms.

Searches: “site.peec.ai pricing prompts models seats | site.otterly.ai pricing prompts | site.scrunch.com pricing brands prompts | site.prof profound pricing answer engine optimization”

Cited: https://otterly.ai/pricing https://peec.ai/pricing https://scrunch.com/pricing/ https://www.tryprofound.com/pricing https://help.otterly.ai/amount-searchprompts

The answer names none of the brand's aliases (Cheap Seats, CheapSeats, cheapseats.dev, Popcorn, popcorn.zone, metcalfc/popcorn). It recommends other AI visibility tools such as Profound and Peec AI instead.

# Making Inconsistent AI Answers Measurable

You're right that the same prompt gives different answers. Good AI visibility tools don't make a single answer reliable. They **treat answers as samples and report probabilities**. The question to ask isn't "Did ChatGPT mention us?" but "Across many runs and prompts, how often are we mentioned, and how confident is that number?"

## Why answers vary

- **Sampling randomness:** models deliberately vary their wording and choices.
- **Live web retrieval:** ChatGPT search, Perplexity, Gemini and AI Overviews pull different sources at different times.
- **Context:** location, language, logged-in state, memory and personalization.
- **Model updates:** vendors change models and system prompts without notice.
- **Prompt phrasing:** "best CRM for startups" and "what CRM should a 10-person startup use" can give different shortlists.

## How credible tools handle it

1. **Repeated sampling.** They run each prompt multiple times and report a mention rate (e.g., "mentioned in 62% of runs"), not a yes or no.
2. **Large prompt sets.** They aggregate across dozens or hundreds of prompts per topic, so one odd answer doesn't move the metric.
3. **Prompt variants.** They use several paraphrases of the same intent to reduce sensitivity to wording.
4. **Controlled conditions.** They fix location, language and logged-out state, and log the model or version where possible.
5. **Interface vs. API.** Some tools query the consumer interfaces (closer to what buyers see). Others use APIs (cheaper and more consistent, but can differ from the real product, especially for search-grounded answers). Ask which one your tool uses for each engine.
6. **Trend smoothing.** They show rolling averages so normal noise doesn't look like a real change.
7. **Raw evidence.** The better tools let you see the actual responses and cited URLs behind every number.

**Tools to evaluate:**
- **Profound:** enterprise, broad engine coverage, strong on citations.
- **Peec AI:** clean share-of-voice and source tracking, mid-market friendly.
- **Scrunch AI:** focuses on how AI describes your brand.
- **Otterly.ai:** affordable, good for getting started.
- **Semrush AI Toolkit** and **Ahrefs Brand Radar:** convenient if you already use those suites.
- **Evertune:** emphasizes large-sample statistical measurement.

Methodologies change often, so confirm the details below with each vendor directly.

## How to check a tool's numbers

**1. Ask the vendor these questions**
- How many runs per prompt per engine, and how often?
- Consumer interface or API? Which model versions?
- Where do the prompts come from, and can I edit them?
- How do you detect a mention (exact match, aliases, product names)?
- Can I export raw responses?
- Do you show confidence intervals or minimum sample sizes?

**2. Do the sample-size math.** For a mention rate *p* over *n* runs, the 95% margin of error is about 1.96 × √(p(1−p)/n). At a 50% mention rate:

| Runs (n) | Margin of error |
|---|---|
| 10 | ±31 pts |
| 50 | ±14 pts |
| 100 | ±10 pts |
| 400 | ±5 pts |

So if a dashboard reports a 5-point weekly change from about 50 samples, that's probably noise.

**3. Run a spot-check yourself**
- Pick 10–15 high-value prompts.
- Run each 5–10 times in a logged-out or incognito session on the same engine and region.
- Record whether you were mentioned, your position, the competitors named and the sources cited.
- Compare your mention rates with the tool's. Directional agreement is the bar; exact matches won't happen.

**4. Test stability.** Look at a week with no real changes on your side. The metric should stay flat within its margin of error. Big swings mean the sample is too thin.

**5. Compare two tools.** Run a trial of a second tool on the same prompt set. If they disagree sharply on rankings against competitors, dig into their methodologies.

**6. Tie it to outcomes.**
- **GA4 referral traffic** from chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com.
- **Self-reported attribution**: add "ChatGPT / AI assistant" as an option in "How did you hear about us?"
- **Branded search lift** after visibility gains.

Visibility metrics that never connect to any of these deserve skepticism.

## Rules of thumb

- Trust **trends and relative position against competitors** more than absolute scores.
- Treat proprietary "visibility scores" as a black box until the vendor explains the formula.
- Your **prompt set is the biggest source of bias**. Build it from real customer language (sales calls, support tickets, search queries), not vendor defaults.

If you'd like, I can draft a prompt set for your category or a simple spreadsheet template for the manual spot-check.

The answer never names Cheap Seats, CheapSeats, cheapseats.dev, Popcorn, or any other alias of the brand. It discusses AI visibility tools in general and names other vendors and sources only.

Good AI visibility tools don't try to make individual answers stable. They treat each answer as one random sample and report rates across many samples. That means a tool's number is only as trustworthy as its sampling, and you can test that yourself.

## How the better tools get reliable numbers

1. **They run each prompt many times.** One answer tells you very little. Tools re-run the same prompt and report how often you show up: "mentioned in 60 of 100 runs" means a 60% mention rate, and that figure still has a margin of error. How many runs is enough is disputed:
   - [Evertune](https://www.evertune.ai/resources/insights-on-ai/how-many-repetitions-of-a-single-prompt-does-it-take-to-understand-your-ai-visibility) tested ChatGPT and found about 100 repetitions gives a tight margin of error, with little gained beyond that.
   - Research cited by [LLM Pulse](https://llmpulse.ai/blog/measuring-ai-visibility-methodology/) found results settle after 33 to 94 answers with citations, depending on platform and topic.
   - [Meikai](https://www.meikai.ai/blog/how-many-times-run-ai-visibility-prompts) tracked 500 prompts over 10 days. Running prompts more often within a day made daily figures more precise but barely changed the 10-day result. So running many different prompts over time can matter more than hammering one prompt.
   - Most of this comes from vendors, so treat it as directional.
2. **They average across groups of prompts and across time.** A topic-level score built from dozens of related prompts, measured over a week or more, is far more stable than any single prompt's result.
3. **They hold conditions steady.** Answers shift with the model version, sampling randomness, whatever pages the web search pulls in that day, location, and whether the user is logged in ([GeoSurge](https://www.geosurge.ai/corpus/gen-4465/data-driven-testing/ai-response-variance.html) has a good breakdown). Good tools record and fix these so changes over time reflect real movement rather than setup differences.
4. **They show uncertainty.** The best ones attach confidence ranges or trend bands to their scores instead of a single precise-looking number.

## How to check a tool

**Ask the vendor** (see [LLM Pulse's checklist](https://llmpulse.ai/blog/measuring-ai-visibility-methodology/)):
- How many times is each prompt run per day or week?
- Is a score based on many runs or just one?
- Do you collect answers from the consumer apps (what users actually see) or through the API? API answers can differ, especially when web search is involved.
- What location, language and logged-in state do you use? How do you record model version changes?
- Can I export the raw answers behind a score?

Vague answers to these are a red flag. I couldn't find published runs-per-prompt figures for Profound, Peec AI or Semrush's AI Visibility Toolkit, so ask each one directly. Also watch plan limits. For example, Semrush's Starter plan reportedly caps you at 50 prompts a day ([Frase](https://www.frase.io/blog/semrush-alternatives)), and that limits how much sampling you can do.

**Test it yourself (about one week):**
1. **Run it twice.** Track the same 20 to 30 prompts twice in the same week, or in two workspaces at once. If your brand's score jumps around more than about 5 to 10 points between runs and nothing has changed, the sample is too small.
2. **Spot-check by hand.** Run 5 prompts about 10 times each in a clean, logged-out browser in your target region. Count your mentions and compare with the tool. You're looking for the same general picture, not an exact match.
3. **Use a known change.** If you launch something or earn notable press coverage, see whether the tool picks it up within a sensible time and in the right direction.
4. **Compare two tools.** Put the same prompts into two tools during free trials. If they agree on the ranking of you versus competitors, that's a good sign. If they disagree, one of them is mostly measuring noise.

**Report it carefully:** use rolling averages over several weeks and topic-level scores rather than single prompts. Treat a change as real only if it holds for two or more periods and is bigger than the run-to-run swing you measured in step 1.

Sources:
- [Evertune – How many repetitions of a prompt](https://www.evertune.ai/resources/insights-on-ai/how-many-repetitions-of-a-single-prompt-does-it-take-to-understand-your-ai-visibility)
- [Meikai – How many times should you run a prompt](https://www.meikai.ai/blog/how-many-times-run-ai-visibility-prompts)
- [LLM Pulse – Measuring AI visibility without fooling yourself](https://llmpulse.ai/blog/measuring-ai-visibility-methodology/)
- [GeoSurge – AI response variance](https://www.geosurge.ai/corpus/gen-4465/data-driven-testing/ai-response-variance.html)
- [GeoSurge – Model variance](https://www.geosurge.ai/corpus/gen-4400/uncertain-inference/model-variance.html)
- [Metehan.ai – How AI visibility tools collect data](https://metehan.ai/pdf/how-ai-visibility-tools-collect-data.pdf)
- [Frase – Semrush alternatives](https://www.frase.io/blog/semrush-alternatives)
- [Dupple – Best AI rank tracking tools](https://dupple.com/learn/best-ai-rank-tracking-tools)

Searches: “AI visibility tools methodology sampling variance repeated prompts reliability LLM answers” “AI search visibility tracking Profound Peec AI Semrush methodology how many runs per prompt 2026”

Cited: https://www.evertune.ai/resources/insights-on-ai/how-many-repetitions-of-a-single-prompt-does-it-take-to-understand-your-ai-visibility https://llmpulse.ai/blog/measuring-ai-visibility-methodology/ https://www.meikai.ai/blog/how-many-times-run-ai-visibility-prompts https://www.geosurge.ai/corpus/gen-4465/data-driven-testing/ai-response-variance.html https://www.frase.io/blog/semrush-alternatives https://www.geosurge.ai/corpus/gen-4400/uncertain-inference/model-variance.html https://metehan.ai/pdf/how-ai-visibility-tools-collect-data.pdf https://dupple.com/learn/best-ai-rank-tracking-tools

The answer discusses AI visibility tools in general and never names Cheap Seats, Popcorn, or any alias of the brand, so the verdict is absent.

AI visibility tools make variable answers measurable by sampling them repeatedly. Their numbers are best treated as **estimates for a defined set of prompts, models, and dates**, not a universal measure of what everyone sees.

Reliability comes from a few practices:

- **Repeat the same prompts.** Run each prompt multiple times and report how often your brand appears, rather than scoring one answer.
- **Keep the test consistent.** Use the same prompt set, locations, languages, and model settings over time. Flag model changes so they aren’t mistaken for marketing gains.
- **Use clear scoring rules.** A brand mention, a recommendation, and a citation to your website are different outcomes. Tools should measure them separately.
- **Show uncertainty.** Small changes may be noise. Look for sample counts, variation across runs, and trends that persist.
- **Preserve the evidence.** Every result should link to the underlying answer, timestamp, prompt, and source URLs where applicable.

Also check **how the tool gets its answers**. API responses can differ from the consumer experience in ChatGPT or other AI apps because browsing, personalization, and model configuration may differ. Neither method is automatically wrong, but the tool should explain which experience it measures.

To check a vendor, ask for a small audit:

1. **Choose 20–30 prompts your buyers would actually ask**, covering discovery, comparison, and purchase decisions. Include prompts that don’t name your brand.
2. **Ask for several runs per prompt**, across multiple days, with raw answers available for export.
3. **Manually check a sample.** Does the answer really mention or recommend you? Does the cited link actually point to your site? Are competitors scored consistently?
4. **Recalculate one metric.** For example, “mention rate” should equal answers mentioning your brand divided by eligible answers. Check how errors and missing responses affect the denominator.
5. **Repeat a subset yourself in the relevant AI app.** Expect different individual answers; investigate persistent differences in the overall pattern.

Ask vendors directly: **“What exactly does this percentage mean, how many observations support it, and can I inspect those observations?”**

For marketing decisions, prioritize sustained movement across relevant buyer prompts. A one-week jump of a few percentage points is weak evidence unless it exceeds the tool’s normal variation. And visibility alone doesn’t establish traffic, leads, or revenue—track those separately.

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

**Reliable AI visibility numbers measure how often you appear across a defined sample—not whether you appear in one answer.** Think of them as polling: useful for trends, with uncertainty and sampling bias.

Tools make that measurement more dependable by:

- **Keeping conditions consistent:** the same prompts, platforms, countries, and collection method over time. Ask whether they query the consumer website or an API; those measure different experiences.
- **Collecting more observations:** repeating checks helps reveal answer variability, while covering more relevant prompts reduces dependence on a few lucky questions. Peec AI’s recent analysis emphasizes that broader prompt coverage can improve accuracy more than repeatedly running a narrow set. [Peec’s methodology analysis](https://peec.ai/blog/the-key-to-prompt-tracking)
- **Aggregating results:** weekly or monthly rates are generally more useful than daily jumps. But a smooth chart alone doesn’t establish accuracy.
- **Keeping the evidence:** saved answers and citation links let you check whether the dashboard classified each result correctly. OtterlyAI, for example, documents daily collection, country settings, and access to individual answer text. [OtterlyAI collection documentation](https://help.otterly.ai/how-otterlyai-collects-data)

**Here’s how I’d audit a tool before trusting its headline score:**

| Check | What to ask or do |
|---|---|
| Metric definition | “Show me the numerator and denominator.” Brand mention rate, recommendation rate, and citation share are different measures. |
| Prompt coverage | Review prompts against sales calls, customer research, and buying stages. Separate branded questions from unbranded discovery questions. |
| Collection conditions | Ask for platform/model, country, language, date, website versus API, and account or personalization settings. |
| Sample size | Ask for distinct prompts, repeats per prompt, successful answers, and how failures or missing answers are handled. |
| Raw evidence | Manually review 30–50 randomly selected saved answers. Check brand aliases, false mentions, recommendations, and actual linked citations. |
| Repeatability | Rerun a small subset several times in fresh sessions under matching conditions. Compare mention rates across runs; identical wording isn’t the standard. |
| Uncertainty | Ask for confidence intervals or measured run-to-run variation. Repeated answers to the same prompt shouldn’t automatically count as fully independent evidence. |
| Trend integrity | Compare the same prompt set and platform mix over time. Require annotations when prompts, models, or collection methods change. |

For a practical trial, **freeze a buyer-relevant prompt set for two to four weeks**, inspect the underlying answers, and compare weekly results. Keep a separate set of fresh questions to test whether the tracked prompts miss important topics.

**Tools worth evaluating:** Peec AI for its published discussion of sampling uncertainty; OtterlyAI for its documented collection method and inspectable answers. Those are reasons to shortlist them, not proof that either measures your audience accurately.

The reporting language I’d use is: **“Our brand appeared in 32% of the answers collected for these prompts, platforms, and markets this month.”** Avoid translating that into “32% of buyers see us”—tracked prompts don’t establish audience reach.

Searches: “site.peec.ai AI visibility methodology prompts daily runs visibility | site.otterly.ai visibility methodology sampling AI answers | site.prof ound.com AI visibility methodology sampling”

Cited: https://peec.ai/blog/the-key-to-prompt-tracking https://help.otterly.ai/how-otterlyai-collects-data

The brand Cheap Seats (aliases CheapSeats, Popcorn, etc.) is not named anywhere in the answer, so the verdict is absent.

# AI Visibility Platforms with Enterprise Security Credentials

**Verify before you shortlist.** This category moves fast, and certifications change. Ask each vendor for its current SOC 2 Type II report (under NDA) or check its trust center. Don't rely on a badge on a marketing page.

## Most likely to clear enterprise security review

| Platform | Security posture (as of my knowledge) | Why consider it |
|---|---|---|
| **Profound** | SOC 2 Type II; SSO; strong enterprise focus | Category leader for tracking brand presence across ChatGPT, Perplexity, Gemini, AI Overviews, Copilot. Good prompt-volume and citation analysis. |
| **Conductor** | SOC 2 Type II, mature enterprise SaaS security program | AI visibility sits inside a broader SEO/content platform. Easier procurement if you already use it. |
| **BrightEdge** | Long-standing enterprise vendor with SOC 2 and established security documentation | AI Catalyst / AI Overviews tracking. Familiar to Fortune 500 security teams. |
| **Semrush (Enterprise / AI Toolkit)** | Enterprise security program with published compliance documentation | Broad suite. Its AI visibility features are newer and less deep than specialist tools. |
| **Scrunch AI** | Has marketed SOC 2 compliance and enterprise controls | Strong on how AI agents perceive and crawl your site, plus persona-based prompt tracking. |
| **Evertune** | Enterprise-oriented; confirm audit status directly | Statistical, large-sample approach to measuring brand perception in LLMs. |

## Promising, but check carefully

- **Peec AI, Otterly.AI, Athena, Brandlight, and similar newer tools** may have SOC 2 Type I only, an audit in progress, or GDPR-focused compliance without SOC 2. Several are good products, but expect more friction with InfoSec.

## What to ask in security review

1. **Type I or Type II?** Type II covers controls operating over time and is what most enterprises require. Also ask for the report date and audit period.
2. **SSO/SAML and SCIM** for user provisioning.
3. **Data handling:** what you upload (competitor lists, prompts, internal keywords), where it's stored, retention, and whether it's used for model training.
4. **Subprocessors:** which LLM APIs and scraping providers they use, and how they query AI engines.
5. **Other frameworks if relevant:** ISO 27001, GDPR DPA, HIPAA (rarely needed for this use case).
6. **Pen test summary** and a completed security questionnaire (SIG or CAIQ).

## Practical recommendation

- **For the smoothest procurement:** Profound if you want best-in-class AI visibility, or Conductor/BrightEdge if you'd rather extend an existing enterprise SEO relationship.
- **Before you sign:** run a 2–4 week pilot alongside the security review, so InfoSec timelines don't stall your evaluation.

The answer never names Cheap Seats, Popcorn, or any other alias of the brand; it only lists other AI visibility platforms for SOC 2 and security requirements.

Based on public claims, the platforms that check the SOC 2 box are **Profound, Scrunch AI, Conductor and Brandlight**. **Peec AI and Evertune** don't advertise SOC 2. One caveat first: almost everything I found comes from vendor websites or comparison blogs. None of it is an audit report, so treat it as a shortlist to verify, not as confirmed status.

**Claim SOC 2 Type II (good candidates for enterprise buying)**

| Platform | What they claim | Why consider it |
|---|---|---|
| **Profound** | SOC 2 Type II, plus a HIPAA assessment by Sensiba LLP, AES-256 encryption for stored data, and SSO/SAML ([Profound](https://www.tryprofound.com/resources/articles/profound-vs-evertune)) | The most complete security documentation in this category. A strong default if you're in a regulated industry like healthcare or finance. |
| **Scrunch AI** | SOC 2 Type II, displayed prominently, plus SSO ([nicklafferty.com](https://nicklafferty.com/blog/profound-vs-scrunch/), [menra.ai](https://www.menra.ai/vs/profound-vs-scrunch-ai)) | Reviewers say its security credentials help it get through procurement quickly. One blog says Sitecore bought it in mid-2026. I couldn't confirm that, so ask them about ownership and roadmap. |
| **Conductor** | SOC 2 Type 2, ISO 27001 and ISO 42001 (a standard for managing AI), and a 98% SecurityScorecard rating ([Conductor](https://www.conductor.com/alternative-to/semrush), [Conductor DE](https://www.conductor.com/de/vergleich/brightedge-vs-conductor/)) | The best fit if you want AI visibility tracking and enterprise SEO in one platform. ISO 42001 is unusual among these vendors and matters to AI governance teams. |
| **Brandlight** | SOC 2 Type II, SSO, role-based access controls, HIPAA alignment, and choice of data storage region ([Brandlight](https://sat.brandlight.ai/articles/which-ai-visibility-platform-gives-data-protection)) | Its feature list fits enterprise needs, but every claim I found came from Brandlight's own content. |

**Don't advertise SOC 2 (expect procurement pushback)**
- **Peec AI:** Being a German company, it's GDPR-compliant, but it doesn't list SOC 2 or HIPAA ([AirOps](https://www.airops.com/blog/peec-alternatives), [nicklafferty.com](https://nicklafferty.com/blog/profound-vs-peec-ai/)). It works well for mid-market teams or EU-focused pilots.
- **Evertune:** I found no published certifications. It sells on its consumer panel data, not on security ([nicklafferty.com](https://nicklafferty.com/blog/profound-vs-evertune/)).

**Unclear:** Semrush, which is now part of Adobe according to [AuthorityTech](https://authoritytech.io/blog/brightedge-competitors), and BrightEdge. I didn't find a trust center or SOC 2 statement for either. Conductor criticizes both on security, but that's a competitor talking. Ask them directly.

**Next steps**
1. Ask each vendor on your shortlist for its current **SOC 2 Type II report** under NDA. Check that the audit period ended within the last 12 months and that the scope covers the AI visibility product, not just the parent company.
2. Ask how they use your data: which AI engines they query, whether your prompts or brand data are stored or used to train models, and where data is stored.
3. Confirm SSO/SAML, role-based access and audit logs are in the tier you'd actually buy. These are often limited to the top plan.

My short take: start with **Profound** or **Conductor** if security review is your biggest hurdle, look at **Scrunch** as a strong alternative, and use Peec AI or Evertune only where SOC 2 isn't required.

Sources:
- [Brandlight: Which AI visibility platform gives data protection?](https://sat.brandlight.ai/articles/which-ai-visibility-platform-gives-data-protection)
- [Profound vs Evertune (Profound)](https://www.tryprofound.com/resources/articles/profound-vs-evertune)
- [Profound vs Scrunch (nicklafferty.com)](https://nicklafferty.com/blog/profound-vs-scrunch/)
- [Evertune vs Profound (nicklafferty.com)](https://nicklafferty.com/blog/profound-vs-evertune/)
- [Profound vs Peec AI (nicklafferty.com)](https://nicklafferty.com/blog/profound-vs-peec-ai/)
- [Profound vs Scrunch AI (menra.ai)](https://www.menra.ai/vs/profound-vs-scrunch-ai)
- [Peec AI alternatives (AirOps)](https://www.airops.com/blog/peec-alternatives)
- [Conductor vs Semrush](https://www.conductor.com/alternative-to/semrush)
- [Conductor vs BrightEdge (DE)](https://www.conductor.com/de/vergleich/brightedge-vs-conductor/)
- [BrightEdge competitors (AuthorityTech)](https://authoritytech.io/blog/brightedge-competitors)

Searches: “AI visibility platform SOC 2 Type II enterprise GEO” “Profound Scrunch Evertune Peec AI SOC 2 compliance AI search visibility” “Conductor BrightEdge Semrush AI visibility SOC 2 Type II trust center”

Cited: https://www.tryprofound.com/resources/articles/profound-vs-evertune https://nicklafferty.com/blog/profound-vs-scrunch/ https://www.menra.ai/vs/profound-vs-scrunch-ai https://www.conductor.com/alternative-to/semrush https://www.conductor.com/de/vergleich/brightedge-vs-conductor/ https://sat.brandlight.ai/articles/which-ai-visibility-platform-gives-data-protection https://www.airops.com/blog/peec-alternatives https://nicklafferty.com/blog/profound-vs-peec-ai/ https://nicklafferty.com/blog/profound-vs-evertune/ https://authoritytech.io/blog/brightedge-competitors

The answer names Profound and Scrunch AI as the shortlist and never mentions Cheap Seats, Popcorn, or any alias of the brand.

**Profound and Scrunch AI are good starting points** for an enterprise AI visibility shortlist. Both have publicly described SOC 2 compliance, though I can’t confirm their current audit status from memory.

| Platform | Why consider it | Security diligence |
|---|---|---|
| **Profound** | Enterprise-focused tracking of brand visibility, citations, and competitors across AI answer engines. A strong candidate for larger marketing teams. | Request its current SOC 2 report and confirm which products and services it covers. |
| **Scrunch AI** | Combines AI visibility monitoring with recommendations for improving how AI systems understand and represent your brand. | Confirm its SOC 2 report, enterprise access controls, and data-handling terms. |

**Treat SOC 2 as a procurement checkpoint, not a blanket guarantee.** Before selecting either, ask for:

- **SOC 2 Type II report:** Check the audit period, scope, exceptions, and any bridge letter.
- **Access controls:** SAML SSO, role-based permissions, audit logs, and SCIM if required.
- **Data protections:** Retention and deletion policies, subprocessors, data residency, and whether your data can be used to train models.
- **Contractual commitments:** A DPA, incident-notification terms, and support SLAs.

For a fast evaluation, send both vendors your security questionnaire while running the same brand-and-competitor tracking pilot. That lets security readiness and marketing usefulness determine the choice together.

The brand Cheap Seats (aliases CheapSeats, cheapseats.dev, Popcorn, popcorn.zone, etc.) is never named in the answer; the answer only discusses Profound, Scrunch, Conductor, and Peec AI.

**Profound, Scrunch, and Conductor are strong candidates for an enterprise AI visibility shortlist:** all publicly state that they have completed SOC 2 Type II audits. Final approval still depends on your security team reviewing the report and your specific requirements.

| Platform | Public security evidence | Why consider it |
|---|---|---|
| **Profound** | Its trust center lists a **SOC 2 Type II attestation**, independently examined by Sensiba. It also documents SAML/OIDC single sign-on. [Trust center](https://trust.tryprofound.com/), [SSO details](https://www.tryprofound.com/blog/enterprise-features) | A strong option for a dedicated AI visibility program, with accessible security documentation for procurement. |
| **Scrunch** | States **SOC 2 Type II compliance**, plus SAML/OAuth SSO and role-based access controls. [Enterprise security details](https://scrunch.com/enterprise) | Worth considering for teams that need AI search optimization alongside centralized access and permissions. |
| **Conductor** | Lists **SOC 2 Type II and ISO 27001** for its AI Search Performance platform. Its AI trust policy says agreements with LLM providers prohibit training on customer data. [Platform details](https://www.conductor.com/platform/features/ai-search-performance/), [AI trust policy](https://www.conductor.com/legal/ai-trust-policy/) | A good fit when you want AI visibility integrated with a broader enterprise SEO and content platform. |

**One distinction to watch:** Peec AI’s enterprise page currently says its SOC 2 Type II audit and ISO 27001 certification are **in progress**. If a completed report is mandatory, request updated evidence before shortlisting it. [Peec enterprise security status](https://peec.ai/for-enterprise)

Before signing, ask each finalist for its **latest SOC 2 Type II report**, including audit scope, period, and exceptions. Also confirm that your purchased plan includes the required SSO, permissions, audit logs, data residency, retention/deletion controls, and contractual restrictions on model training.

My practical starting point: **evaluate Profound and Scrunch for a dedicated platform; add Conductor if consolidating SEO and AI visibility is a priority.**

Searches: “Profound AI visibility SOC 2 Type II security | Scrunch AI SOC 2 security enterprise | Peec AI SOC 2 security | Conductor AI visibility SOC 2 security” “site.conductor.com AI search performance visibility SOC 2 | site.scrunch.com "SOC 2 Type II" security | site.semrush.com security SOC 2 enterprise AI visibility”

Cited: https://trust.tryprofound.com/ https://www.tryprofound.com/blog/enterprise-features https://scrunch.com/enterprise https://www.conductor.com/platform/features/ai-search-performance/ https://www.conductor.com/legal/ai-trust-policy/ https://peec.ai/for-enterprise

The brand Cheap Seats (aliases CheapSeats, Popcorn, cheapseats.dev, etc.) is not named anywhere in the answer; the only similar-looking word is 'Popcorn' absent entirely, so the verdict is absent.

# AI Visibility Tools with APIs

Most tools in this category gate the API behind higher or enterprise plans. This market changes quickly, so check plan-level API access, endpoints and rate limits with each vendor before you commit.

## Strongest API options

**Profound**
- Enterprise-focused, with a documented API for visibility scores, citations, prompt-level answers and share of voice across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and others.
- **Why:** It's the most mature option if you want raw, prompt-level data in a warehouse.
- **Catch:** It's expensive and sales-led.

**Peec AI**
- API available on its higher tiers. It covers visibility, position, sentiment and sources by prompt, model and competitor.
- **Why:** It's good value for mid-market teams, and the data model is clean and simple to work with.

**Scrunch AI**
- Offers API access aimed at enterprise and agency users, including citation and source data.
- **Why:** It's a good fit if you care about *which pages* AI engines cite, not just mention rates.

**Semrush (AI Toolkit / Enterprise AIO)**
- AI visibility data sits alongside its existing API ecosystem.
- **Why:** It's the easiest choice if you already pay for Semrush and pipe its SEO data into dashboards.

**Ahrefs Brand Radar**
- Exposed through Ahrefs API v3, which requires an Enterprise plan.
- **Why:** It has a very large prompt and query dataset, which makes it useful for market-level share of voice rather than only your own tracked prompts.

**Conductor / BrightEdge / seoClarity**
- Enterprise SEO platforms that have added AI search visibility to their existing APIs and BI connectors.
- **Why:** They fit if you're already on one of them and want AI and organic data in one feed.

## Lighter options (exports more than full APIs)
- **Otterly.ai** and **AthenaHQ** lean on CSV exports, Looker Studio connectors or limited APIs. That's fine for simple dashboards, but weaker for warehouse pipelines.

## How to choose
- **You want raw data in Snowflake/BigQuery and plan to model it yourself:** Profound or Peec AI.
- **You want AI and SEO data together from a vendor you already use:** Semrush, Ahrefs or Conductor.
- **You have a tight budget and engineering help:** you can build a basic tracker yourself. Run a fixed prompt set through the OpenAI, Anthropic, Gemini and Perplexity APIs on a schedule and parse the answers for brand mentions and citations. This won't fully match what consumers see in the apps, since API answers differ from in-app answers and personalization isn't captured. Still, it's cheap and you own the data.

## Questions to ask vendors
1. Is the API included in my plan, or is it an add-on?
2. Do I get prompt-level raw responses, or only aggregated scores?
3. How many days of history can I pull, and at what refresh frequency?
4. What are the rate limits, and are there webhooks or a native warehouse sync?

If you tell me your dashboard stack (Looker, Tableau, Power BI, a warehouse) and rough budget, I can narrow this to one or two picks.

The answer never names Cheap Seats, its domain, or the alias Popcorn, so the brand is absent. The answer's top pick is Profound, which it calls 'the most complete option for an enterprise dashboard.'

Most of the major AI visibility tools now offer an API, but it's usually locked to the top tier. As of October 2026:

## Confirmed APIs (documented)

| Tool | What you can pull | Plan needed | Notes |
|---|---|---|---|
| **Profound** | Visibility and share of voice, citations, sentiment, accuracy, shopping and AI bot traffic reports | Enterprise | Public REST API using an X-API-Key header, plus a hosted MCP server. Improvado already has a Profound connector, which could save you building your own pipeline. The most complete option for an enterprise dashboard. |
| **Peec AI** | The same data you see in the app, returned as JSON (projects, brands, prompts, analytics) | Enterprise only (about €499/mo and up) | The API is officially **in beta**, so endpoints may change. Some reviews also mention a Looker Studio connector, which matters if Looker is where your dashboards live. |
| **Scrunch** | Query API (aggregated metrics across AI platforms) and Responses API (raw AI answers), with 90 days of history | Enterprise | The docs are labeled **early access**. Use Responses if you want to run your own analysis on the raw answers. |
| **Otterly.AI** | Brand reports, prompts, citations, recommendations, GEO audits | Higher tiers | The public API launched in May 2026, along with a Claude Skill. Plans start at about $29/mo, so it's the cheapest way to get API access. Some older comparison articles still say it has no API, but that's out of date. |
| **Ahrefs Brand Radar** | AI mention and visibility data across about 6–7 AI platforms, plus search, YouTube, Reddit and TikTok | Ahrefs API access (pricing is per API unit) | Any report that can be pulled by API has an **API button** that shows the request and what it costs in units. Also available through the Ahrefs MCP server and Google Sheets export. A good fit if you already pay for Ahrefs. |

## Partial or unclear

- **Semrush AI Visibility Toolkit:** Semrush has a general API and an MCP server on its higher plans. But I couldn't find a documented endpoint that returns the toolkit's prompt or brand-performance data. Exports are CSV only, capped at 10 per user per day and 1,000 rows each. Ask your Semrush rep before counting on it.

## My recommendation

- **Enterprise budget, dashboard-first:** go with **Profound**. Its API is the most mature and it has existing connectors such as Improvado.
- **Already on Ahrefs:** try **Brand Radar** through the API before buying another tool.
- **Small budget or pilot:** **Otterly** gives you a public API at a much lower price.
- **Peec and Scrunch** are both strong, but their APIs are beta or early access. Get schema-stability commitments in the contract before you build production dashboards on them.

Third-party reviews disagree a lot on which tiers include the API. Get the API tier, rate limits and how much history you can pull confirmed in writing during procurement.

Sources:
- [Profound REST/MCP docs](https://docs.tryprofound.com/mcp/overview)
- [Frontegg – Profound connector](https://developers.frontegg.com/agen-for-work/connectors/marketplace/profound)
- [Profound Answer Engine Insights](https://help.tryprofound.com/articles/8515393916-answer-engine-insights)
- [Improvado – Profound](https://improvado.io/docs/profound)
- [Peec AI API intro](https://docs.peec.ai/api/introduction.md)
- [Peec MCP server (Glama)](https://glama.ai/mcp/servers/thein-art/mcp-server-peecai)
- [Scrunch help center docs](https://helpcenter.scrunchai.com/en/collections/18008254-documentation)
- [Scrunch integrations & APIs](https://scrunch.com/faqs/category/integrations)
- [API Evangelist – Scrunch Query API](https://apis.apievangelist.com/store/scrunch-ai-query-api/)
- [Otterly blog, May 27 2026 (Public API)](https://otterly.ai/blog/2026/05/27/)
- [Ahrefs Brand Radar help](https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-to-use-it)
- [Ahrefs new features](https://ahrefs.com/blog/new-features)
- [Trakkr – Semrush integrations review](https://trakkr.ai/reviews/semrush-review/integrations)
- [Semrush – best AI visibility tools](https://www.semrush.com/blog/best-ai-visibility-tools/)
- [Discovered Labs – Profound vs Peec vs Otterly](https://discoveredlabs.com/blog/profound-vs-peec-vs-otterly-which-ai-visibility-platform-should-you-buy)
- [HubSpot – Peec AI alternatives](https://blog.hubspot.com/marketing/peec-ai-alternatives)
- [Data-Mania – Scrunch vs Otterly vs Limy](https://www.data-mania.com/blog/?p=20692)

Searches: “AI visibility tracking tools API access Profound Peec AI Scrunch Otterly API” “Ahrefs Brand Radar API AI visibility data export” “Semrush AI Visibility Toolkit API endpoint 2026” “Peec AI API documentation docs.peec.ai” “Profound API docs tryprofound answer engine insights API” “Scrunch AI API documentation; Otterly.AI API”

Cited: https://docs.tryprofound.com/mcp/overview https://developers.frontegg.com/agen-for-work/connectors/marketplace/profound https://help.tryprofound.com/articles/8515393916-answer-engine-insights https://improvado.io/docs/profound https://docs.peec.ai/api/introduction.md https://glama.ai/mcp/servers/thein-art/mcp-server-peecai https://helpcenter.scrunchai.com/en/collections/18008254-documentation https://scrunch.com/faqs/category/integrations https://apis.apievangelist.com/store/scrunch-ai-query-api/ https://otterly.ai/blog/2026/05/27/ https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-to-use-it https://ahrefs.com/blog/new-features https://trakkr.ai/reviews/semrush-review/integrations https://www.semrush.com/blog/best-ai-visibility-tools/ https://discoveredlabs.com/blog/profound-vs-peec-vs-otterly-which-ai-visibility-platform-should-you-buy https://blog.hubspot.com/marketing/peec-ai-alternatives https://www.data-mania.com/blog/?p=20692

The answer names Profound, Scrunch AI, and Peec AI as its shortlist and never mentions Cheap Seats, CheapSeats, cheapseats.dev, or Popcorn under any alias.

I’d start with **Profound, Scrunch AI, and Peec AI**. Based on my existing knowledge, all three have offered API access for AI visibility data, though availability and coverage may depend on your plan.

| Tool | Why consider it | What to confirm |
|---|---|---|
| **Profound** | Strong enterprise option for tracking brand visibility, citations, and competitors across AI answer engines. | API entitlement, available metrics, historical access, and export limits. |
| **Scrunch AI** | Useful for monitoring how AI assistants represent your brand and identifying content opportunities. | Whether the API exposes prompt-level answers, citations, and competitor comparisons. |
| **Peec AI** | A marketing-focused option for tracking visibility, position, and sentiment across AI platforms. | API plan requirements, supported platforms, and reporting granularity. |

**My recommendation:** Evaluate Peec for a straightforward marketing dashboard, and Profound or Scrunch for broader enterprise requirements.

Before buying, request a sample API response and confirm that you can retrieve:

- Results by **prompt, model, country, and date**.
- Brand mentions, citation URLs, and competitor metrics.
- Raw answers alongside aggregated visibility scores.
- Historical data through paginated endpoints, with sufficient rate limits.

The key distinction is **API access to the underlying observations versus access only to summary scores**. For your own dashboards, underlying observations give you much more flexibility.

I haven’t verified current packaging, so treat this as a shortlist to validate with vendors.

The answer names OtterlyAI, Promptwatch, Profound, Scrunch, and AthenaHQ, but never mentions Cheap Seats, CheapSeats, Popcorn, or any other alias of the brand. The brand is therefore absent.

**Yes—OtterlyAI, Promptwatch, Profound, Scrunch, and AthenaHQ all offer APIs you can use to feed your own dashboards.** I checked current vendor sources; the main differences are data depth and which plans include access.

| Tool | Data you can pull | API access / why consider it |
|---|---|---|
| **OtterlyAI** | Brand mentions, citations, share of voice, sentiment, and results by prompt and engine | **Standard, Premium, and Custom plans.** Standard includes 2,000 requests/month; Premium includes 5,000. A practical starting point for automated marketing reporting. [API details](https://help.otterly.ai/do-you-provide-an-api-for-otterlyai) |
| **Promptwatch** | Visibility, prompts, responses, citations, sentiment, crawler activity, and visitor analytics | **Every paid plan**, with different rate limits. Worth considering if you want visibility and AI traffic data in the same reporting pipeline. [API and plan details](https://promptwatch.com/ai-agent-instructions) |
| **Profound** | Visibility scores, citation share, leaderboards, and period-over-period KPI changes | API access is offered through **Enterprise**. Particularly useful for recreating its analytics in your own dashboards: it publishes recipes showing how to calculate the metrics. [API cookbook](https://www.tryprofound.com/blog/introducing-the-profound-api-cookbook), [Enterprise access](https://www.tryprofound.com/enterprise) |
| **Scrunch** | Brand presence and sentiment by AI platform, plus full AI responses, citations, competitors, and metadata | Markets its Data API as an **Enterprise** capability. Strong candidate when your analysts need the underlying answers alongside summary metrics. [API capabilities](https://scrunch.com/faqs/what-apis-does-scrunch-offer-and-how-do-they-work/), [Enterprise offering](https://scrunchai.com/enterprise/) |
| **AthenaHQ** | Visibility data for custom dashboards; its integrations page also describes share-of-voice and cited-source analysis | **Paid add-on to Starter; included in Enterprise.** Consider it if you also want content optimization workflows. Starter is $295/month before the API add-on; add-on pricing requires contacting sales. [Integrations](https://athenahq.ai/integrations/), [Pricing](https://athenahq.ai/plans?afsrc=1) |

**My shortlist:** start with **OtterlyAI and Promptwatch** for a straightforward dashboard integration. Add **Profound or Scrunch** if you need enterprise reporting or detailed answer-level analysis.

Before buying, ask each vendor to demonstrate a pull of **30 days of prompt-level results, competitor mentions, and citation URLs**. Confirm historical access, pagination, refresh frequency, and request limits—and whether API metrics reconcile with the product dashboard. That will reveal more than simply checking “API available.”

Searches: “AI visibility platform API reporting Profound Scrunch Peec Otterly API | AI visibility tools API AthenaHQ AirOps API” “site.tryprofound.com API documentation enterprise | site.scrunch.com data API | site.peec.ai API access | site.otterly.ai API access standard” “site.peec.ai "API" | site.promptwatch.com "API" "plans" | site.scrunch.com "Data API" "Enterprise" | site.athenahq.ai "API" "add-on"”

Cited: https://help.otterly.ai/do-you-provide-an-api-for-otterlyai https://promptwatch.com/ai-agent-instructions https://www.tryprofound.com/blog/introducing-the-profound-api-cookbook https://www.tryprofound.com/enterprise https://scrunch.com/faqs/what-apis-does-scrunch-offer-and-how-do-they-work/ https://scrunchai.com/enterprise/ https://athenahq.ai/integrations/ https://athenahq.ai/plans?afsrc=1

The brand Cheap Seats (aliases CheapSeats, cheapseats.dev, Popcorn, etc.) is never named in the answer. The answer lists other AI visibility trackers only.

Most dedicated AI visibility trackers run prompts automatically, usually daily. The real differences are **how granular the alerts are** and **where they go** (email, Slack, webhook). Features in this category change monthly, so confirm alerting in a trial before you buy.

## Strong options for scheduled tracking and alerts

**Profound**
- Enterprise-grade. Tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, Claude and others.
- Daily runs at high prompt volume, so drops show up as statistically meaningful rather than noise.
- Good fit if you need visibility share vs. competitors, citation-source analysis, and exec reporting.
- Pricey.

**Peec AI**
- Mid-market favorite, clean UI.
- Daily prompt tracking across major engines, with competitor benchmarking and source/citation tracking.
- Easy to set up for a marketing team without analyst support.

**Otterly.AI**
- Budget-friendly and simple.
- Automated monitoring of brand mentions and URL citations in ChatGPT, Perplexity, and Google AI Overviews.
- Good for small teams that want "did we appear or not" alerts without a big contract.

**Scrunch AI**
- Monitoring plus diagnostics on why you're missing, such as content gaps and how AI crawlers see your site.
- Useful if you want alerts tied to fixes.

**AthenaHQ**
- Scheduled tracking with competitive share-of-voice and recommendations.
- Positioned between Peec and Profound.

**Semrush (AI Toolkit / Enterprise AIO) and Ahrefs Brand Radar**
- Best if you already pay for one of these.
- Adds AI visibility next to your SEO data.
- Alerting is less purpose-built than the specialist tools, but it avoids another vendor.

**Others worth a look:** Rankscale (cheap, granular), Goodie, Evertune (brand-perception focus, enterprise), Bluefish (enterprise brand safety in AI answers).

## What to check in a trial

1. **Alert trigger types.** You want rules like "brand absent from prompt X," "visibility share dropped >Y%," and "competitor newly appears." Weekly digests alone aren't enough.
2. **Delivery.** Slack or webhook support matters if you want alerts to reach the team rather than an inbox.
3. **Run frequency and sampling.** AI answers are nondeterministic. A tool that runs each prompt once a week will give false "we dropped out" alarms. Look for multiple runs per prompt or daily cadence.
4. **Engine coverage.** Make sure the engines your buyers actually use are included, such as Google AI Mode and Copilot for B2B.
5. **Prompt limits.** Pricing usually scales by prompt count. Budget for 50–200 high-intent prompts to start.

## DIY alternative

If you want control or have a tiny budget, you can build this yourself:
- Run your prompt list on a cron job through the OpenAI, Perplexity, and Gemini APIs.
- Check responses for your brand or domain.
- Post to Slack when you're absent across N consecutive runs.

The catch is that API answers differ from the consumer apps, which use different browsing and retrieval. Treat a DIY setup as a directional signal, not ground truth.

## Quick recommendation

- **Small team, fast setup:** Otterly.AI or Peec AI
- **Need competitive depth and exec reporting:** Profound
- **Already on Semrush or Ahrefs:** try their AI module first

If you share your budget, team size, and which engines matter most, 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. Its top pick is Profound, which it recommends for enterprise budgets with Slack alerts.

Several tools run prompts on a schedule, but only a few say they alert you when you drop out of answers. I couldn't confirm how alerting works for most of them, and much of what I found comes from vendor or affiliate comparison blogs. Treat this as a shortlist to test in a trial, not a final ranking.

**The best-documented options for alerts**

- **Profound:** The strongest evidence. It has a Slack app that sends alerts when your visibility or citations change, and it says it runs prompts daily across the AI engines it tracks. It's built for larger companies, and since about September 2026 it seems to be sold through sales calls only, with no self-serve plan listed. ([Profound vs Otterly](https://www.tryprofound.com/articles/profound-vs-otterly), [eClincher](https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change), [Slashdot Slack listing](https://slashdot.org/software/ai-search-monitoring/for-slack/))
- **Promptmonitor:** Its listed alerts match your question most closely: your mentions drop, a new competitor gets mentioned, or the cited sources change. ([RankMasters competitor alerts](https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-competitor-alerts), [AIRefs](https://getairefs.com/blog/best-promptmonitor-alternatives/))
- **Otterly.ai:** The cheapest option, reportedly from about $29/month. It runs prompts on a schedule and alerts you when brand mentions change, covering ChatGPT, Google AI Overviews, Perplexity and Copilot. The catch is that most engines reportedly refresh only weekly (that's Profound's claim), so you'd hear about a drop days late. I also couldn't confirm whether alerts go to Slack or email. ([Otterly](https://otterly.ai/), [Layer3 Labs](https://www.layer3labs.io/guides/otterly-ai-pricing))
- **Frase:** One review says it monitors daily and sends alerts, with plans from about $39/month billed yearly. ([Frase](https://frase.io/blog/the-10-best-ai-visibility-tools-in-2026))

**Scheduled tracking, but alerts unconfirmed**

- **Peec AI:** Runs your prompts daily and is well reviewed for team use, at about $95/month. I found nothing confirming it has alerts.
- **Ahrefs Brand Radar:** Its custom prompt tracking runs your own prompt list on a schedule. Its alert options weren't covered in what I found.
- **Semrush AI Toolkit, AthenaHQ, Scrunch:** These track mentions, but I couldn't find details on their alerts. ([Brand24 roundup](https://brand24.com/blog/ai-brand-visibility-tracking-tools/), [Digital Applied](https://www.digitalapplied.com/blog/ai-visibility-tools-2026-track-brand-chatgpt-perplexity-gemini))

**How to pick**

1. **How often it checks matters most.** If you want to hear about a drop the next day, you need daily runs (Profound, Peec, Frase). With a weekly refresh, an alert can arrive about a week late.
2. **Test alerts in the trial.** Ask each vendor three things:
   - Can an alert fire when one specific prompt loses your brand, or only when your overall share of voice drops?
   - Can you set a threshold, such as alerting when you lose a prompt two runs in a row?
   - Do alerts go to Slack, email or a webhook?
3. **Alert on a trend, not a single run.** AI answers vary from one run to the next, so one missing mention is often noise. Alerting only when you're absent for two or more runs, or when your share drops by more than a set amount, avoids most false alarms.
4. **Have a fallback.** If you like a tool's data but not its alerts, export the data or use its API (if it has one). Then set up a simple threshold rule in Zapier, Make or a small scheduled script that posts to Slack.

**My picks:** Profound if you have enterprise budget and want Slack alerts that work today. Promptmonitor or Otterly if you're cost-conscious, but confirm how often they refresh first. Peec if you're happy to build alerts yourself on top of its daily data.

Other sources: [RankMasters change detection](https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-answer-change-detection), [GEO tools with Slack](https://genengineoptimizers.com/blog/geo-tools-that-integrate-with-slack/), [AIRefs Otterly alternatives](https://getairefs.com/blog/best-otterly-ai-alternatives/), [Opensend](https://opensend.com/post/ai-visibility-tracking-tools)

Searches: “AI visibility tracking tool alerts when brand drops from ChatGPT answers 2026” “Profound vs Peec AI vs Otterly alerts scheduled prompt tracking” “AI search visibility tool Slack email alert brand mention lost competitor appears (Peec AI, Profound, Otterly, Semrush AI, Ahrefs Brand Radar, Scrunch)”

Cited: https://www.tryprofound.com/articles/profound-vs-otterly https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change https://slashdot.org/software/ai-search-monitoring/for-slack/ https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-competitor-alerts https://getairefs.com/blog/best-promptmonitor-alternatives/ https://otterly.ai/ https://www.layer3labs.io/guides/otterly-ai-pricing https://frase.io/blog/the-10-best-ai-visibility-tools-in-2026 https://brand24.com/blog/ai-brand-visibility-tracking-tools/ https://www.digitalapplied.com/blog/ai-visibility-tools-2026-track-brand-chatgpt-perplexity-gemini https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-answer-change-detection https://genengineoptimizers.com/blog/geo-tools-that-integrate-with-slack/ https://getairefs.com/blog/best-otterly-ai-alternatives/ https://opensend.com/post/ai-visibility-tracking-tools

The brand Cheap Seats (aliases include Popcorn, CheapSeats, cheapseats.dev) is never mentioned in the answer, so the verdict is absent.

For scheduled monitoring of whether your brand appears in AI answers, I’d shortlist these tools. **Check the alert details before buying:** scheduled tracking is common; an automatic alert for “we disappeared from this specific answer” is less consistently supported.

| Tool | Why consider it | Alert capability to confirm |
|---|---|---|
| **Profound** | Enterprise monitoring of brand mentions, citations, and share of voice across AI answer engines. Useful for larger marketing teams. | Notifications for lost mentions or citations on tracked prompts, with configurable thresholds. |
| **Scrunch AI** | Tracks how your brand appears in AI answers and helps investigate visibility gaps. Useful when you want actionable diagnosis alongside monitoring. | Whether disappearance alerts can be filtered by prompt, engine, and market. |
| **Otterly.AI** | A straightforward option for recurring prompt monitoring, brand mentions, and cited links. Useful for a smaller team getting started. | Whether notifications flag individual losses or provide scheduled summary reports. |
| **Peec AI** | Strong fit for marketing teams comparing visibility, position, and sentiment against competitors. | Whether visibility declines trigger alerts automatically, and where those alerts are delivered. |

**My practical recommendation:** evaluate **Otterly.AI** for a lightweight setup, **Peec AI** for competitive tracking, and **Profound or Scrunch AI** for a broader enterprise program.

Make the demo test concrete: “Track these 30 buying-intent prompts daily and notify us when our brand is absent for two consecutive runs after previously appearing.” Also ask for the saved answer, cited sources, and competitor changes in the notification. Requiring consecutive misses helps reduce noise from variable AI responses.

These recommendations reflect my existing knowledge; I haven’t verified current features or plan limits.

Cheap Seats (aliases Popcorn, CheapSeats, etc.) is not named anywhere in the answer; the answer recommends Scrunch, Peec AI, and OtterlyAI instead.

**Shortlist Scrunch, Peec AI, and OtterlyAI.** The key difference is whether alerts are built in or require an automation.

| Tool | Scheduled monitoring | Alerts when visibility drops | Why choose it |
|---|---|---|---|
| **Scrunch** | New prompts run daily for 14 days, then every 72 hours by default. | Built-in **Signals** detects mention-rate drops, threshold breaches, and sustained declines. Email notifications can be immediate, daily, or weekly. | Best fit if you want alerts delivered without building a workflow. [Monitoring cadence](https://scrunch.com/faqs/what-methods-does-scrunch-use-to-collect-data-from-ai-platforms), [Signals](https://ai-cdn.scrunchai.com/blog/automated-analysis-answers-on-demand-for-ai-search) |
| **Peec AI** | Runs active prompts every 24 hours; some plans offer weekly or custom frequency. | Custom automation through its MCP connection. Peec documents scheduled Slack alerts for competitor gains; you’d adapt that workflow for your own lost mentions. | Best if you want flexible alert rules alongside competitive analysis. [Schedule](https://help.peec.ai/article/decision-lab-how-often-do-my-prompts-run-and-can-i-change-the-frequency-12), [Alert workflow](https://peec.ai/mcp-use-cases/competitor-alerts) |
| **OtterlyAI** | Automatically checks tracked prompts daily; timing and frequency are fixed. | Its API supports building coverage-drop alerts through tools such as Zapier, Make, or Slack. | Good for straightforward daily tracking connected to your existing marketing automation. [Schedule](https://help.otterly.ai/monitoring-interval), [API workflows](https://help.otterly.ai/do-you-provide-an-api-for-otterlyai) |

**My recommendation:** start with **Scrunch** if built-in notifications are the priority. Choose **Peec AI or OtterlyAI** if you need an exact rule such as “alert us when we disappear from these ten buying prompts for two consecutive checks.”

For a pilot, track 30–50 high-intent prompts by engine and market. Request alerts that include the affected prompt, previous and current answers, citations, and competitors that appeared. Require repeated misses before escalating—AI answers fluctuate, so one missing mention can be noise. These tools monitor a defined sample of prompts, rather than every answer customers receive. [Peec’s research on tracking variability](https://peec.ai/blog/the-key-to-prompt-tracking)

Before buying, ask the vendor to demonstrate your exact disappearance rule; a general visibility-drop alert may operate at topic level rather than individual-prompt level.

Searches: “AI visibility monitoring alerts brand disappears answers scheduled Peec AI Profound Otterly | site.otterly.ai alerts brand monitoring schedule | site.tryprofound.com alerts visibility monitoring” “AI visibility "alerts" "daily" site.scrunch.com | AI visibility "alerts" "daily" site.peec.ai | AI visibility "alerts" "daily" site.nightwatch.io | AI visibility "alerts" "daily" site.keyword.com” “site.scrunch.com monitoring prompts daily Signals visibility drops alerts | site.peec.ai "daily" "prompts" tracking” “site.helpcenter.scrunchai.com "daily" "prompts"”

Cited: https://scrunch.com/faqs/what-methods-does-scrunch-use-to-collect-data-from-ai-platforms https://ai-cdn.scrunchai.com/blog/automated-analysis-answers-on-demand-for-ai-search https://help.peec.ai/article/decision-lab-how-often-do-my-prompts-run-and-can-i-change-the-frequency-12 https://peec.ai/mcp-use-cases/competitor-alerts https://help.otterly.ai/monitoring-interval https://help.otterly.ai/do-you-provide-an-api-for-otterlyai https://peec.ai/blog/the-key-to-prompt-tracking