Choosing an AI visibility tool

The brand Cheap Seats (and its aliases) is never mentioned in the answer; the answer lists other GEO tools only.

Second opinion (Jev): absent at 0.99, agrees with the grader.

# How GEO Tools Work, and Which Are Worth Paying For

## How they work

Generative engine optimization (GEO) tools measure how often AI assistants mention and cite your brand. Most do four things.

1. **Prompt tracking (the core feature).** You give the tool a set of prompts, such as "best expense management software for startups." It runs them repeatedly against ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Claude, and Copilot. It uses APIs or scrapes the real consumer interfaces, often across several regions.
2. **Response parsing.** Each answer is checked for:
   - Whether you're mentioned
   - Your position relative to competitors
   - Sentiment
   - Which URLs the model cited as sources

   This is rolled up into "share of voice" or a "visibility score."
3. **Citation and source analysis.** The tool shows which domains the AI engines lean on for your category, such as G2, Reddit, review sites, or competitor blogs. This is usually the most actionable output, because it tells you where PR, content, and community effort will pay off.
4. **Extras that vary by vendor:**
   - **AI crawler analytics:** log-level visibility into GPTBot, ClaudeBot, PerplexityBot, and similar crawlers.
   - **Prompt volume estimates:** modeled from panel data, not real query logs.
   - **Content gap recommendations.**
   - **Auto-generated "optimized" content.**

**Caveats to know before you buy:**
- LLM answers are non-deterministic and personalized, so a single run means little. Good tools sample each prompt many times.
- API results can differ from what users see in the actual app.
- Prompt volume numbers are estimates.
- Tying visibility scores to pipeline is still weak. Pair any tool with GA4 referral tracking (chatgpt.com, perplexity.ai, and others) to see real traffic.

## Which ones are worth paying for

Pricing is approximate and changes often, so verify current plans.

| Need | Tool | Why |
|---|---|---|
| **Cheap monitoring / just starting** | **Otterly.AI** (~$29+/mo) | Simple, affordable prompt and citation tracking. Good for proving the category matters before spending more. |
| **Best mid-market value** | **Peec AI** (~€90+/mo) | Clean UI, solid competitor share of voice and source analysis, reasonable pricing. A popular choice for B2B marketing teams. |
| **Already on an SEO suite** | **Semrush AI Toolkit/AIO** or **Ahrefs Brand Radar** | Avoids another vendor. Ahrefs has a large prompt database for category-level brand visibility. Usually less deep than the specialists. |
| **Enterprise, most complete** | **Profound** | Strongest overall: broad engine coverage, crawler analytics, and prompt-volume data ("Conversation Explorer"). Expensive, often well into four figures per month. |
| **Enterprise alternatives** | **Scrunch AI**, **AthenaHQ**, **Evertune** | Scrunch focuses on making your site legible to AI agents. AthenaHQ is strong on recommendations. Evertune takes a heavy statistical-sampling approach suited to big consumer brands. |

## My practical advice

- **Start with a mid-tier tool** (Peec or Otterly) and 50–150 prompts that reflect real buyer questions, not just branded ones. Upgrade to Profound only if leadership wants board-level reporting or crawler analytics.
- **Use free trials and run tools side by side for 2–4 weeks.** Check whether their visibility numbers roughly agree and whether the citation data suggests concrete actions.
- **Skip paying for AI content generation features.** The value is in measurement and source insights, not auto-written pages.
- **What actually moves visibility** is mostly classic PR and content work:
  - Get cited on the third-party sources the tool surfaces (reviews, Reddit, comparison articles).
  - Publish clear comparison and FAQ content.
  - Make sure AI crawlers aren't blocked.

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

The brand Cheap Seats, and its aliases CheapSeats, cheapseats.dev, and cheapseatsdev/cheapseats, are never named in the answer. The answer discusses GEO tools in general and does not mention it.

Second opinion (Jev): absent at 0.99, agrees with the grader.

GEO tools mostly measure where you show up in AI answers. Pay for one only once you know which buyer questions matter to you. For most product marketing teams, a mid-priced tracker or the add-on to your existing SEO suite is enough. Enterprise platforms like Profound make sense when AI visibility is a formal program with its own budget.

## How they work

1. **You set a list of prompts.** These are the questions your buyers ask, like "best [category] tool for [use case]" or "[you] vs [competitor]". This list is the core of the product, and pricing is usually based on how many prompts you track.
2. **They run those prompts on AI engines on a schedule.** Typically ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Copilot and Claude, often across several regions. Some tools scrape the consumer apps and some call the APIs. That difference matters because API answers can differ from what users actually see.
3. **They read the answers.** They check whether you were mentioned, where you appeared in the list, the sentiment, how you were described, and which URLs were cited as sources.
4. **They turn this into metrics.** Share of voice against competitors, citation share, trends over time, and the third-party sites (Reddit, G2, review sites, listicles) that keep feeding answers in your category.
5. **Extras on higher tiers:** estimated prompt volume, analysis of the follow-up searches an AI runs behind a single question ("query fan-out"), logs of AI crawler visits, content recommendations, and attribution to traffic from AI referrals.

**Limits to know before you buy:**
- AI answers change from run to run, so look at trends over many runs, not single results.
- Prompt "volume" numbers are estimates based on clickstream and other signals, not real query data.
- None of these tools can directly change what the models say. They tell you where to work: your own content, third-party reviews, comparison pages, and earned media.

## What's worth paying for (late 2026)

Prices vary a lot between sources, so confirm on each vendor's site.

| Situation | Tool | Approx. price | Why |
|---|---|---|---|
| Already on Semrush | **Semrush AI Visibility Toolkit** | ~$99/mo for 25 prompts, plus your Semrush plan | Cheapest way to start; sits next to your SEO data. 25 prompts is thin, and extra prompts cost about $60 per 50. |
| Already on Ahrefs | **Ahrefs Brand Radar** | ~$199/mo per AI engine, ~$699/mo for the bundle, plus your Ahrefs plan | Large dataset of mentions and citations alongside the search data you already check. Costs add up quickly if you want every engine. |
| Standalone tracker, small or mid-size team | **Peec AI** | ~€89–€199/mo | Clean dashboard, decent prompt allowance, Looker Studio integration for reporting. Its analysis is shallower than Profound's. |
| Testing on a small budget | **Otterly.AI** | from ~$29/mo | Good for a 60–90 day pilot to see whether AI visibility moves at all in your category. |
| Formal program, enterprise budget | **Profound** | self-serve ~$99–$499/mo; enterprise custom | Most depth: query fan-out, finer sentiment, crawler and agent analytics. Reviewers call it "enterprise-level cost," and the full value is in the higher tiers. |
| Want tracking plus content creation | **AthenaHQ** (~$295/mo) or **Writesonic** (GEO tier ~$79–$249/mo) | — | They pair tracking with suggested actions and content generation. Useful if you're short on writers; less useful if you already have a content team. |

## Practical advice

- **Start with the add-on to the SEO tool you already pay for,** or Otterly for a pilot. Spend the first month getting 50–100 prompts right, grouped by funnel stage and persona.
- **Upgrade when** you're reporting AI share of voice to leadership, tracking several products or regions, or need to know which sources to target. That's when Peec or Profound earn their price.
- **Check before you buy:** which engines are covered, whether results come from scraping the real apps or from the API, how often prompts are re-run, the prompt allowance per dollar, and whether you can export the data.
- **Be skeptical of the reviews.** Most "best GEO tools" lists are written by vendors or affiliates, including Profound's own Profound vs. Peec comparison. I didn't find an independent head-to-head of the main tools. Run free trials on the same prompt set and compare the results yourself.

Sources:
- [Nick Lafferty – Best GEO Tools 2026](https://nicklafferty.com/blog/best-generative-engine-optimization-tools-2025/)
- [SitePoint – Best GEO Tools 2026](https://www.sitepoint.com/best-generative-engine-optimization-tools/)
- [SitePoint – GEO Tools to Improve AI Search Visibility](https://www.sitepoint.com/best-generative-engine-optimization-tools-to-improve-ai-search-visibility-2026/)
- [Writesonic – 10 GEO Platforms Tested](https://writesonic.com/blog/generative-engine-optimization-tools)
- [Airefs – Top 5 GEO Tools](https://getairefs.com/blog/top-5-geo-tools/)
- [Blazly – Best GEO Tool Guide](https://www.blazly.ai/post/best-generative-engine-optimization-tools)
- [Botric – Best GEO Tools](https://www.botric.ai/blog/best-geo-tools)
- [ZipTie – Best GEO Tools](https://ziptie.ai/blog/best-generative-engine-optimization-tools/)
- [Devenup – Top 10 GEO Tools](https://devenup.com/blog/best-generative-engine-optimization-tools)
- [ToolJunction – AI Search Visibility Platforms](https://www.tooljunction.io/blog/ai-search-visibility-geo-platforms)
- [Nebo Agency – Comparing Top AI Visibility Tools](https://www.neboagency.com/blog/entering-the-chat-comparing-the-top-ai-visibility-tools-for-your-brand/)
- [Clearscope – Best AI Search Visibility Tools 2026](https://www.clearscope.io/blog/Best-AI-Search-Visibility-Tools-for-2026)
- [The Drum – Ahrefs vs Otterly vs Peec](https://www.thedrum.com/profile/mrs-digital/article/the-best-tools-for-ai-search-in-2026-ahrefs-vs-otterly-ai-vs-peec-ai)
- [Lilach Bullock – AI visibility tools](https://www.lilachbullock.com/?p=141481)
- [Profound – Profound vs Peec AI](https://www.tryprofound.com/articles/profound-vs-peec-ai)
- [SE Ranking – Profound alternatives](https://visible.seranking.com/?p=1678)

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

Cited: https://nicklafferty.com/blog/best-generative-engine-optimization-tools-2025/ https://www.sitepoint.com/best-generative-engine-optimization-tools/ https://www.sitepoint.com/best-generative-engine-optimization-tools-to-improve-ai-search-visibility-2026/ https://writesonic.com/blog/generative-engine-optimization-tools https://getairefs.com/blog/top-5-geo-tools/ https://www.blazly.ai/post/best-generative-engine-optimization-tools https://www.botric.ai/blog/best-geo-tools https://ziptie.ai/blog/best-generative-engine-optimization-tools/ https://devenup.com/blog/best-generative-engine-optimization-tools https://www.tooljunction.io/blog/ai-search-visibility-geo-platforms https://www.neboagency.com/blog/entering-the-chat-comparing-the-top-ai-visibility-tools-for-your-brand/ https://www.clearscope.io/blog/Best-AI-Search-Visibility-Tools-for-2026 https://www.thedrum.com/profile/mrs-digital/article/the-best-tools-for-ai-search-in-2026-ahrefs-vs-otterly-ai-vs-peec-ai https://www.lilachbullock.com/?p=141481 https://www.tryprofound.com/articles/profound-vs-peec-ai https://visible.seranking.com/?p=1678

The brand Cheap Seats (and its aliases) is never named in the answer; only other GEO tools such as Profound, Peec AI, and Otterly.AI are mentioned.

Second opinion (Jev): absent at 0.99, agrees with the grader.

Generative engine optimization (GEO) tools help you track and improve how your brand appears in AI-generated answers from services such as ChatGPT, Google AI Overviews, Gemini, and Perplexity. **Most are monitoring and analysis tools; they can’t guarantee placement.**

They typically work in four steps:

1. **Run a set of prompts** representing questions your buyers ask, such as “What’s the best payroll software for a 50-person company?”
2. **Analyze the answers** for brand mentions, recommendations, competitor visibility, factual accuracy, and cited sources.
3. **Identify opportunities**, such as a missing comparison page, unclear product information, or a third-party source that repeatedly influences answers.
4. **Repeat the tests** to track changes after you update content, earn coverage, or improve technical accessibility.

Some also audit whether AI crawlers can access your site or suggest content changes. The useful work overlaps heavily with SEO, product messaging, digital PR, and maintaining accurate public information.

The biggest limitation: **a visibility score describes the tool’s chosen prompts and testing conditions—not your actual share of all buyer conversations.** Answers vary by model, location, personalization, and time. Treat these scores as directional research, not market share or attributable revenue.

### Which tools are worth considering?

These are established options I know, rather than a live assessment of their latest pricing or features:

| Tool | Why consider paying for it | Best fit |
|---|---|---|
| **Profound** | Detailed AI visibility and citation analysis to support a broader marketing intelligence program. | Enterprise teams with budget and someone responsible for acting on the findings. |
| **Scrunch AI** | Brand visibility monitoring with an emphasis on how AI systems encounter and represent your brand. | Teams investigating inaccurate answers, competitive gaps, and site accessibility. |
| **Peec AI** | Focused tracking of brand mentions, competitors, and cited sources across AI answers. | Marketing teams wanting a dedicated monitoring workflow. |
| **Otterly.AI** | A relatively lightweight way to start tracking prompts and brand visibility. | Smaller teams testing whether GEO monitoring produces useful insights. |
| **Ahrefs or Semrush** | Combine AI visibility capabilities, where included, with established SEO research and content workflows. | Teams that already subscribe and want to avoid buying another overlapping platform. |

**My recommendation: check your existing Ahrefs or Semrush subscription first.** If it doesn’t answer your questions, pilot Peec AI or Otterly.AI for a focused monitoring need. Evaluate Profound or Scrunch AI when you need deeper analysis, multiple markets, or reporting across a larger organization.

Before committing annually, run a short paid pilot:

- Choose **30–50 buyer questions** spanning discovery, comparisons, use cases, and purchase decisions. Separate branded from unbranded questions.
- Require **raw answers, citations, timestamps, and clear testing conditions**, rather than just a dashboard score.
- Check whether repeated tests produce a reasonably consistent picture.
- Ask whether the findings lead to concrete actions your team can take.
- Track qualified referral traffic and conversions alongside visibility, recognizing that attribution will be incomplete.

A tool is worth paying for when it repeatedly reveals consequential gaps and helps you prioritize fixes. If it mainly tells you that competitors get mentioned more often and recommends “publish more content,” it’s probably not earning its subscription.

The answer never names Cheap Seats or any of its aliases. It recommends Peec AI or Otterly.AI as starting points and lists paid tools by price and scope.

Second opinion (Jev): absent at 0.98, agrees with the grader.

**For most product marketing teams, I’d start with Peec AI or Otterly.AI on a monthly pilot.** Pay for visibility tracking and useful competitive intelligence; require evidence before paying extra for “optimization.”

These recommendations reflect current vendor pages checked in October 2026, rather than hands-on testing.

**How GEO tools work**

Most follow four steps:

1. **Run buyer questions repeatedly.** You supply prompts such as “best payroll software for a 200-person company,” choose AI platforms and markets, and schedule checks. Some tools also offer databases of previously collected answers.
2. **Analyze the answers.** They track brand mentions, recommendations, competitors, sentiment, and cited websites. A mention and a citation are different: an answer can recommend you without linking to you.
3. **Identify opportunities.** They reveal comparison pages you’re missing, inaccurate product descriptions, or third-party sources that repeatedly appear in relevant answers.
4. **Support changes and reporting.** Depending on the product, they offer content briefs, page audits, crawler analytics, or content-generation workflows. [Otterly capabilities](https://otterly.ai/pricing/), [Ahrefs methodology](https://ahrefs.com/brand-radar).

The key limitation: **your visibility score measures the tool’s sampled questions—not your actual share of all AI conversations.** Prompt selection, geography, platform, and timing affect the result. Ask whether the vendor captures consumer-facing answers or API responses, and insist on seeing the underlying answers.

**Which are worth paying for?**

Prices below are USD; billing terms and coverage differ.

| Tool | Current price / scope | My buying judgment |
|---|---|---|
| **Otterly.AI** | $29/month for 15 prompts; $189/month for 100. Four engines included; others cost extra. | **Best inexpensive starting point.** Daily monitoring, citations, and sentiment let you test whether this channel produces actionable findings. Fifteen prompts suit a narrow pilot. [Pricing](https://otterly.ai/pricing/) |
| **Peec AI** | Starter approximately $95/month: 50 prompts, three models, daily tracking, unlimited users. | **My default shortlist for a PMM team.** A practical scope for tracking category, use-case, and competitor questions together. Confirm the price and chosen models at checkout. [Plans](https://peec.ai/pricing/), [vendor’s published price details](https://peec.ai/ai-instructions) |
| **Ahrefs Brand Radar** | Custom tracking starts at $50/month; AI Visibility Index starts at $199/month. Paid Ahrefs plans include some tracking. | **Worth considering for competitive research.** Its broader index helps discover questions and citation sources beyond the prompts you already know. Try your included allowance first if you use Ahrefs. [Product and pricing](https://ahrefs.com/brand-radar) |
| **Scrunch** | Starter $300 month-to-month, or $250/month billed annually; includes 350 custom prompts, page audits, and agent traffic monitoring. | **Worth a pilot when you have implementation capacity.** Its appeal is combining monitoring with website diagnostics. Check engine-specific coverage and tracking frequency before comparing prompt counts. [Pricing](https://scrunch.com/pricing) |
| **Profound** | Enterprise pricing is custom; a seven-day trial includes 50 daily prompts across three engines. | **An enterprise shortlist option.** Consider it when you need broader analytics, integrations, governance, and marketing workflows—and have a team to act on them. Request an itemized quote separating monitoring from agent credits. [Pricing](https://www.tryprofound.com/pricing) |

**Semrush AI Visibility** also deserves consideration if your team already works in Semrush: keeping SEO and AI analysis together may save work. Its current Base listing is **$99/month per domain, billed annually**. Compare its exact prompt and platform allowances with a dedicated tracker before buying both. [Pricing](https://www.semrush.com/pricing/ai/)

**What I’d avoid paying a premium for**

Generic AI-written articles, opaque “GEO readiness” scores, or promises of guaranteed recommendations. Google explicitly says its AI search features require no special AI markup or additional technical optimization beyond established SEO requirements. That guidance applies to Google; it isn’t a universal specification for every assistant. [Google’s guidance](https://developers.google.com/search/docs/appearance/ai-features)

For a useful pilot, track **30–50 questions drawn from sales calls, win/loss interviews, and customer research**. Include category discovery, specific use cases, comparisons, and objections—not just questions containing your brand.

Run it for 6–8 weeks, assign an owner to address the findings, and evaluate:

- Did it uncover meaningful positioning errors or competitive gaps?
- Did it identify specific pages or third-party sources worth improving?
- Did those actions improve repeated answer samples—and, where measurable, qualified referrals or pipeline?

**My purchase decision:** start with Peec for a focused team program, or Otterly for a low-cost experiment. Move upmarket when you can name the additional capability you need and who will use it.

Searches: “generative engine optimization tools pricing Profound Scrunch Peec AI Otterly AI 2026 | Ahrefs Brand Radar pricing AI Semrush AI visibility toolkit pricing” “site.peec.ai "$95" pricing Starter | site.peec.ai how tracks AI answers browser UI scraping | site.developers.google.com/search AI features website no special optimization schema”

Cited: https://otterly.ai/pricing/ https://ahrefs.com/brand-radar https://peec.ai/pricing/ https://peec.ai/ai-instructions https://scrunch.com/pricing https://www.tryprofound.com/pricing https://www.semrush.com/pricing/ai/ https://developers.google.com/search/docs/appearance/ai-features

The brand Cheap Seats (CheapSeats, cheapseats.dev) is never named in the answer; the answer only recommends other GEO tools such as Profound, Peec AI and Otterly.AI.

Second opinion (Jev): absent at 0.99, agrees with the grader.

# Evaluating AI Visibility / GEO Tools

## 1. How they collect data (most important)
- **UI vs. API.** Responses from the ChatGPT or Perplexity API often differ from what users see in the actual interface, especially regarding web search, citations, and shopping cards. Ask whether the tool captures real front-end responses. If it only queries APIs, treat its numbers as directional.
- **Sampling rigor.** LLM answers are nondeterministic. Ask how many times each prompt runs, how often, and whether they report variance. A single run per prompt per week is noise.
- **Context control.** Check whether you can vary location, language, and logged-in vs. logged-out state. Answers shift a lot by geography.

## 2. Engine coverage
At minimum you want ChatGPT, Google AI Overviews and AI Mode, Perplexity, and Gemini. Nice-to-haves are Copilot, Claude, Meta AI, Grok, and DeepSeek. Weight coverage by where your buyers actually are. For B2B that usually means ChatGPT and Google first.

## 3. Prompt strategy
- Can you bring your own prompts, and does the tool help generate realistic ones by persona and funnel stage?
- **Be skeptical of "prompt volume" claims.** No one has true query-volume data from OpenAI or Google. Some vendors use panel or clickstream data, which is better than pure modeling. Ask exactly where the numbers come from.

## 4. Metrics that matter
- **Mention rate / share of voice** vs. named competitors
- **Position and framing**: recommended first, listed, or just mentioned
- **Sentiment and accuracy**: does it flag hallucinated pricing, features, or outdated positioning?
- **Citation/source analysis**: which URLs and domains the models cite (Reddit, G2, Wikipedia, your docs, competitor blogs). This is usually the most actionable data because it tells you where to invest.

## 5. Actionability
- Content gap and "why you're not cited" recommendations
- **AI crawler analytics**: GPTBot, PerplexityBot, and similar bots hitting your site, via log or CDN integration
- **Traffic attribution**: AI referral traffic tied to GA4 or your CRM, so you can connect visibility to pipeline

## 6. Practical stuff
- **Pricing model.** Most charge per prompt × engine × frequency, so costs balloon fast. Model your real prompt set before signing.
- Exports, API access, Looker/BI connectors, multi-brand or agency workspaces.
- **Vendor stability.** It's a young, crowded category. Prefer monthly or short terms and confirm data portability.

## Tools to shortlist
This category moves fast, so verify current features and pricing.

| Segment | Tools | Why |
|---|---|---|
| Enterprise | **Profound**, **Scrunch AI**, **Evertune** | Profound is strong on front-end capture, crawler analytics, and prompt-volume data. Scrunch emphasizes AI-agent-ready site optimization. Evertune focuses on statistically rigorous brand-perception sampling. |
| Mid-market | **Peec AI**, **AthenaHQ** | Good value, clean competitor and citation reporting, fast setup. |
| Budget / starter | **Otterly.ai**, **HubSpot AI Search Grader** (free) | Cheap way to get a baseline before committing. |
| Add-ons to existing SEO suites | **Semrush AI Toolkit**, **Ahrefs Brand Radar**, **Conductor**, **BrightEdge** | Worth it if you already pay for the platform, though often less deep than dedicated tools. |

## How to run the evaluation
1. Build a 50–100 prompt set covering category, comparison ("X vs Y"), and problem-led queries.
2. Run the same set in 2–3 tools for 2–4 weeks.
3. Manually spot-check about 20 prompts in the real ChatGPT and Google interfaces to see which tool matches reality.
4. Pick the tool whose **citation insights** you'd actually act on, not the one with the prettiest share-of-voice chart.

The brand Cheap Seats is never named in the answer; the answer lists many GEO tools but none of them is Cheap Seats or one of its aliases, so the verdict is absent.

Second opinion (Jev): absent at 0.99, agrees with the grader.

Most of these tools look alike in a demo. What actually separates them is how they collect the data, how many times they run each prompt, and whether the numbers lead to something you can act on. Here's what to check, roughly in order of importance.

## 1. How the data is collected
- **Real interface vs. API.** Ask whether they capture answers from the consumer apps people actually use (ChatGPT with search, Perplexity, Google AI Overviews and AI Mode) or call the model APIs. API answers can differ from the consumer app: the model may differ, web search may not be on, and the citations change. My searches didn't turn up anything comparing the two methods, so this is my own advice. Ask each vendor directly and have them show you a raw captured answer.
- **Repeat runs.** AI answers change from one run to the next. A serious tool runs each prompt 5–10 times per check, averages the results and shows how much they vary ([MarketerHire](https://marketerhire.com/blog/best-generative-engine-optimization-tools)). A single run per prompt gives you noise, not a trend.
- **Location, language and personalization.** If you sell in several regions, ask whether they can run prompts from those countries and languages.

## 2. Which AI engines they cover
At minimum you want ChatGPT, Perplexity, Google AI Overviews and Claude. Add Gemini and Copilot if your buyers use them. Check which engines come with **your pricing tier**, because cheaper plans often leave some out.

## 3. Prompt set
- How many prompts does each tier include? A small set can be misleading.
- Can you write and edit your own prompts based on real buyer questions and personas, or are you stuck with ones the tool generates?
- Can you group prompts by topic, funnel stage, product line or competitor?

## 4. Metric definitions
"Visibility," "mention," "citation" and "share of voice" mean different things in different tools. They use different data and are calculated differently ([MarketerHire](https://marketerhire.com/blog/top-rated-generative-engine-optimization-for-ai)). Ask for the formulas. Make sure the tool separates **being mentioned** (your brand appears in the answer) from **being cited** (your URL is linked as a source). Sentiment and how prominently you're placed in the answer also matter.

## 5. Whether it helps you act
- **Source analysis:** which third-party sites (Reddit, G2, review sites, media) the AI engines cite for your topics. This usually tells you more than anything else, because it shows where to put PR, community and content effort. A brand that isn't cited anywhere on the open web won't be fixed by a tool ([StartupHub](https://www.startuphub.ai/news/best-geo-ai-visibility-tools)).
- **Recommendations:** content gaps and page-level fixes, or in some tools agents that draft content for you.
- **Connection to results:** GA4 and Search Console integration to track AI-referred traffic and conversions. Tie it to pipeline if you can, since that's what leadership will ask about.

## 6. Practical details
Seats, data export or API access, reporting for multiple brands or clients (if you work with agencies), how far back the history goes, and how prices rise as you add prompts and engines.

## How the main tools are positioned (as of 2026)
- **Profound:** enterprise option with an analytics and "action" layer (agents). Usually the most expensive.
- **Peec AI:** focused on clean analytics, works well across languages and markets. Measures visibility but doesn't try to fix it.
- **Scrunch:** for mid-market teams and agencies, with broad engine coverage even on lower plans.
- **Otterly.AI:** the cheap way in (from about $29/mo), good for SMBs or a trial run.
- **Semrush, Ahrefs, HubSpot** have added AI visibility features. These are worth a look if you already pay for one of them.

Published prices disagree a lot. Profound is listed anywhere from $99/mo to $499+/mo, so check vendor sites. Also, several comparison articles are written by GEO vendors ranking their own product, so treat them with caution.

## How to run the evaluation
Shortlist 2–3 tools and run the **same 30–50 prompts** in each for 2–4 weeks. Compare the results with what you see when you run a few of those prompts by hand in ChatGPT and Perplexity. If a tool's numbers don't match what you see yourself, drop it.

Sources:
- [GEO Platforms Compared 2026 (Ayzeo, vendor-authored)](https://munich2026.piabo.net/comparisons/geo-platforms-compared)
- [Marketful – 10 Best AI Visibility Tools 2026](https://marketful.com/ai-visibility-tools)
- [MarketerHire – Top Solutions for AI Visibility and GEO](https://marketerhire.com/blog/top-solutions-for-ai-visibility-and-generative-engine-optimization)
- [MarketerHire – Best GEO Tools Buyer's Guide](https://marketerhire.com/blog/best-generative-engine-optimization-tools)
- [MarketerHire – Top-Rated GEO 2026 Buyer's Guide](https://marketerhire.com/blog/top-rated-generative-engine-optimization-for-ai)
- [Waikay comparison (vendor-authored)](https://waikay.io/compare/)
- [StartupHub – 13 Best GEO and AI Visibility Tools](https://www.startuphub.ai/news/best-geo-ai-visibility-tools)
- [ToolJunction – AI Search Visibility Platforms](https://www.tooljunction.io/blog/ai-search-visibility-geo-platforms)
- [NoGood – Top GEO Tools 2026](https://nogood.io/2026/04/05/generative-engine-optimization-tools)

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

Cited: https://marketerhire.com/blog/best-generative-engine-optimization-tools https://marketerhire.com/blog/top-rated-generative-engine-optimization-for-ai https://www.startuphub.ai/news/best-geo-ai-visibility-tools https://munich2026.piabo.net/comparisons/geo-platforms-compared https://marketful.com/ai-visibility-tools https://marketerhire.com/blog/top-solutions-for-ai-visibility-and-generative-engine-optimization https://waikay.io/compare/ https://www.tooljunction.io/blog/ai-search-visibility-geo-platforms https://nogood.io/2026/04/05/generative-engine-optimization-tools

The brand Cheap Seats and its aliases are never mentioned in the answer; it gives general criteria for evaluating AI visibility or GEO tools without naming any product.

Second opinion (Jev): absent at 1.00, agrees with the grader.

Evaluate AI visibility or GEO (generative engine optimization) tools on whether they help you make better marketing decisions—not just report an “AI visibility score.”

Here’s what to look for:

| Criterion | What to ask |
|---|---|
| **Relevant prompt coverage** | Can you track questions your buyers actually ask, segmented by persona, use case, and buying stage? Can you add your own prompts? |
| **Engine and market coverage** | Which AI assistants and search experiences are measured? Can you specify country and language? Does the tool measure consumer-facing answers or API responses? Those experiences can differ. |
| **Repeatable measurement** | How often are prompts run, and how many times? AI answers vary, so a single response is weak evidence. Look for historical trends and clear sampling methods. |
| **Mentions, citations, and accuracy** | Does it distinguish a brand mention, a linked citation, a recommendation, and an inaccurate claim? Can you inspect the original answer? |
| **Competitive context** | Can you compare against named competitors using the same prompts and see which sources support their visibility? |
| **Actionable findings** | Does it identify specific content gaps, inaccurate descriptions, and influential sources—or merely suggest “publish more content”? |
| **Business impact** | Can you connect findings to referral traffic, conversions, or customer research? Treat visibility as a leading indicator, not proof of revenue impact. |
| **Transparency and portability** | Are scoring formulas, prompt selection, and collection methods explained? Can you export raw answers, citations, and historical data? |

**The biggest red flags:** opaque scores, guaranteed rankings or inclusion, cherry-picked screenshots, and claims that a visibility increase proves the tool caused pipeline growth.

For a practical evaluation, run a **four-week pilot** with the same 30–50 buyer-relevant prompts, your brand, and three competitors. Include unbranded category questions, comparisons, and purchase questions. Keep a fixed prompt set for trend tracking, and manually check a sample of the answers against the tool’s reporting.

Ask each vendor to deliver three things:

- A baseline you can audit.
- Five prioritized actions with supporting evidence.
- A report your team can use to decide what to change next.

**Choose the tool that gives you trustworthy evidence and useful actions.** Broad engine coverage and polished dashboards matter less if the underlying prompts don’t represent your buyers.

The brand Cheap Seats (or aliases CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats) is never mentioned in the answer, which only discusses general evaluation criteria and lists Peec AI, Profound, OtterlyAI, and Ahrefs Brand Radar.

Second opinion (Jev): absent at 0.99, agrees with the grader.

**Evaluate AI visibility/GEO tools on whether they help you make better marketing decisions—and whether you can inspect the evidence behind their scores.**

For a product marketing lead, the key questions are: *Do we make the shortlist? Are we described accurately? Which sources shape that description? What should we change?*

Use this checklist in demos:

| What to evaluate | What to ask vendors |
|---|---|
| **Relevant prompts** | Can we track questions by buyer persona, use case, buying stage, language, and market? Can we separate branded questions from category discovery and competitor comparisons? |
| **Collection methodology** | Are answers collected from consumer interfaces or APIs? Which models, locations, and search settings are used? How often are prompts repeated? Can we inspect timestamped answers and citations? |
| **Clear metrics** | Are brand mentions, explicit recommendations, and citations to our website measured separately? What exactly is the denominator for “visibility” or “share of voice”? |
| **Messaging accuracy** | Can we see whether AI gets our positioning, features, pricing, and differentiation right? Can we correct brand detection errors and inspect sentiment labels? |
| **Source analysis** | Which exact pages support the answers? Can we distinguish our own content from review sites, publishers, forums, and competitors? |
| **Useful actions** | Can the tool connect a gap to a specific page update, comparison asset, factual correction, or PR opportunity—with supporting evidence? |
| **Business measurement** | Can we connect findings with referral traffic, conversions, and CRM data? Does the vendor distinguish observed results from estimated influence? |
| **Cost and workflow** | What happens to the bill when we add engines, countries, prompts, or daily checks? Are exports, historical data, integrations, and seats included? |

**Pay particular attention to sampling.** A dashboard built from selected prompts measures performance on that sample; it doesn’t automatically represent your entire market. Ask whether claimed “prompt volumes” come from observed conversations, modeled estimates, or traditional search data. For example, Ahrefs explicitly says its index prompts are modeled from its keyword database. [Ahrefs Brand Radar](https://ahrefs.com/brand-radar)

Likewise, request repeated measurements and a stable prompt set. Changing the questions being tracked can change your score without any change in your marketing performance. Treat crawler visits, citations, referral visits, and revenue as separate signals.

A practical shortlist to investigate:

- **Peec AI:** A candidate for a marketing team focused on recurring visibility, competitive position, and sentiment reporting, with custom prompts and country tracking. [Peec AI](https://peec.ai/)
- **Profound:** Worth evaluating if you want a broader platform spanning answer analytics, prompt research, agent analytics, and content workflows. Verify that you’ll use that breadth. [Profound](https://www.tryprofound.com/)
- **OtterlyAI:** A candidate for focused monitoring of brand mentions and website citations across several AI search platforms, alongside content auditing. [OtterlyAI](https://otterly.ai/)
- **Ahrefs Brand Radar:** Useful if you want both broad category exploration and tracking of your own questions, particularly alongside SEO research. Its index and custom tracking serve different purposes. [Ahrefs Brand Radar](https://ahrefs.com/brand-radar)

These are starting points based on current vendor offerings, not an independent accuracy ranking.

**Before committing, run a two-to-four-week pilot with two vendors.** Give both the same 30–50 buyer questions, competitors, markets, and engines. Manually audit a subset of saved answers, check detection errors, and ask each vendor to identify three specific actions your team should take.

Buy the tool that produces credible evidence and useful work your team can execute. Treat guaranteed rankings, unexplained scores, and recommendations to simply publish more content as red flags.

Searches: “AI visibility tools evaluate prompt tracking citations accuracy Profound Peec AI Otterly Google AI visibility | Google AI features website search console AI overviews AI mode reporting documentation”

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

The brand Cheap Seats (CheapSeats, cheapseats.dev) is never mentioned in the answer; it names only other AEO tools such as Peec AI and Profound.

Second opinion (Jev): absent at 1.00, agrees with the grader.

# Best AEO Tools for Tracking ChatGPT and Claude Recommendations

**Short answer:** For most B2B SaaS companies, I'd start with **Peec AI**. If you have enterprise budget and need the deepest data, choose **Profound**. This market changes monthly, so check current features and pricing before you buy.

## Top picks

**Profound: best overall, enterprise budget**
- It has the broadest engine coverage, including ChatGPT, Claude, Perplexity, Gemini, Copilot and Google AI Overviews.
- It shows the sources that drive each answer, which tells you which pages and third-party sites to influence.
- It offers "Agent Analytics," which tracks AI crawler visits to your site.
- The main downside is cost. It's typically priced and sold as an enterprise contract.

**Peec AI: best value for mid-market B2B**
- It has a clean UI, competitor share-of-voice, sentiment, and source/citation tracking.
- The core engines are covered. Check whether Claude is included or an add-on on your plan.
- It's quick to set up, and pricing is reasonable for a marketing team without an enterprise contract.

**Scrunch AI or AthenaHQ: strong alternatives**
- Both are good at competitive positioning and at suggesting content and optimization fixes, not just monitoring.
- They're worth a demo alongside Profound if you want more prescriptive output.

**Ahrefs Brand Radar or Semrush AI Toolkit: if you already pay for one**
- They're convenient because they sit inside your existing SEO stack.
- They're less granular than dedicated tools, and their Claude coverage has lagged ChatGPT and Google.

**Otterly.ai: budget option**
- It's inexpensive and fine for basic mention tracking.
- Confirm Claude support before buying, because it hasn't always been included.

**Free starting point: HubSpot's AI Search Grader**
- It gives you a one-time snapshot of how LLMs describe your brand, which is useful for building an internal business case.

## Questions to ask on demos

1. **Does it support Claude, and how?** Many tools prioritize ChatGPT, Perplexity and Google. Since Claude matters to you, make this a hard requirement.
2. **Does it query the API or the actual consumer app?** ChatGPT's web app, with search and memory, often answers differently from the raw API. UI-based tracking reflects what buyers actually see.
3. **Can you bring your own prompts?** For B2B, track buyer-intent queries like "best [category] for [use case/company size]" and "[competitor] alternatives." Generic brand queries are less useful.
4. **How often does it re-run prompts?** LLM answers vary between runs, so you need repeated sampling to get a trustworthy share-of-voice number.
5. **Does it show citations and sources?** This is the actionable part. It shows the G2 pages, Reddit threads, comparison articles and docs that shape the answers.

## Practical recommendation

1. Run 20–30 high-intent prompts by hand in ChatGPT and Claude to get a baseline. This takes an afternoon.
2. Trial **Peec AI** and **Profound** side by side on that same prompt set for 2–4 weeks.
3. Choose the one whose citation data most clearly points you to the third-party sites and content worth investing in. Monitoring only matters if it changes what your team does next.

The brand Cheap Seats is never named in the answer; none of its name or aliases (CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats) appear, so the verdict is absent.

Second opinion (Jev): absent at 0.99, agrees with the grader.

There isn't one best tool. The deciding question for you is **which tools actually track Claude, and on which plan**. Many AEO tools cover ChatGPT well but only cover Claude on enterprise tiers or as a paid add-on. Here's my practical recommendation:

**Top pick for most B2B SaaS teams: Scrunch AI** (listed from about $300/mo)
- Reviewers list Claude alongside ChatGPT, Perplexity, Gemini, Google AI Overviews and Meta AI, so you don't need an enterprise contract just to see Claude.
- It's built for brand and marketing teams who want to know whether they get recommended and who gets recommended instead, which is your question.

**If you have enterprise budget: Profound**
- It's the most commonly cited enterprise option, and its enterprise tier covers up to nine answer engines, including Claude.
- The catch: one review says the self-serve Starter plan (about $99/mo) tracks ChatGPT only. Don't buy the cheap tier expecting Claude data.

**Lower-cost alternatives (check Claude coverage first):**
- **Peec AI:** Clean and affordable. One source says Claude is enterprise-only, so ask before you buy.
- **Otterly AI:** The cheapest real baseline at about $29/mo, but one review says Claude is a paid add-on.
- **Semrush AI Visibility (about $99/mo per domain) or Ahrefs Brand Radar (about $129–199/mo):** Worth it if you already pay for one of these suites and want AI visibility next to your SEO data.

**How to choose in a week:**
1. Write 20–30 prompts your buyers actually ask, like "best [category] tool for [use case]" or "[you] vs [competitor]." Include competitor-comparison prompts.
2. Take trials of two tools (for example Scrunch and Peec) and run the same prompt set in both.
3. Confirm in writing that Claude is included on the plan you'd buy. Pricing and engine coverage change often, and the review sites disagree.
4. Pick whichever tool gives you competitor share-of-voice and the sources being cited. That tells you what to fix, not just where you rank.

**One caveat:** most "best AEO tools" lists are written by vendors who rank themselves, so treat the rankings with caution. Before paying, run your top 10 prompts by hand in ChatGPT and Claude to get a baseline you can check the tools against.

Sources:
- [12 Best AI Visibility Tools for B2B SaaS Companies in 2026 – Gracker](https://gracker.ai/blog/best-ai-visibility-tools-b2b-saas)
- [13 Best AEO Tools for 2026 – Gracker](https://gracker.ai/blog/best-aeo-tools-for-brands)
- [17 Best AEO Tools for AI Search in 2026 – AirOps](https://www.airops.com/blog/answer-engine-optimization-tools)
- [Best AEO Tools Reviews: 20+ Platforms Compared – Stackmatix](https://www.stackmatix.com/blog/best-aeo-tools-reviews)
- [The 7 Best AI Visibility Tools for B2B SaaS (2026) – Supermarketers](https://www.supermarketers.ai/aeo/best-ai-visibility-tools)
- [8 Best AI Visibility Tools for B2B SaaS – Mentionova](https://mentionova.com/blog/ai-visibility-tools-b2b-saas)
- [Best 22 AEO Tools – Omnibound](https://www.omnibound.ai/blog/best-aeo-tools-for-answer-engine-optimization)
- [10 Best AEO Tools for 2026 – Geoptie](https://geoptie.com/blog/best-aeo-tools)
- [Top 10 AEO Tools for SaaS Companies – AI Rank Checker](https://airankchecker.net/blog/aeo-tools-for-saas-companies/)

Searches: “best AEO AI visibility tools 2026 B2B SaaS ChatGPT Claude tracking comparison”

Cited: https://gracker.ai/blog/best-ai-visibility-tools-b2b-saas https://gracker.ai/blog/best-aeo-tools-for-brands https://www.airops.com/blog/answer-engine-optimization-tools https://www.stackmatix.com/blog/best-aeo-tools-reviews https://www.supermarketers.ai/aeo/best-ai-visibility-tools https://mentionova.com/blog/ai-visibility-tools-b2b-saas https://www.omnibound.ai/blog/best-aeo-tools-for-answer-engine-optimization https://geoptie.com/blog/best-aeo-tools https://airankchecker.net/blog/aeo-tools-for-saas-companies/

The brand Cheap Seats (CheapSeats, cheapseats.dev) is never named in the answer; only Profound and Peec AI are recommended.

Second opinion (Jev): absent at 0.99, agrees with the grader.

**I’d start by evaluating Profound** for a B2B SaaS company that wants to know whether ChatGPT and Claude recommend it. It focuses on AI answer visibility: where your brand appears, which competitors appear alongside it, and which sources influence those answers.

I’d also shortlist **Peec AI** if you want a more focused option for ongoing brand and competitor monitoring. Confirm current Claude coverage and pricing with both vendors before choosing; I’m answering from existing knowledge.

The key is to measure **recommendations, not just mentions**. In a trial:

- Track 30–50 realistic buyer questions across your category, use cases, and competitor comparisons.
- Check whether your company is explicitly recommended, how it’s described, and who gets recommended instead.
- Repeat questions over time—one response isn’t a reliable visibility metric.
- Verify whether results come from the actual ChatGPT and Claude experiences or API models, because those can differ.

**My pick: Profound as the first demo, Peec AI as the comparison.** Ask each to run the same buyer prompts so you can judge the usefulness of its results before committing.

The answer never names Cheap Seats or any of its aliases (CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats); it recommends Peec AI, Profound, and OtterlyAI instead, so the brand is absent.

Second opinion (Jev): absent at 0.98, agrees with the grader.

**I’d start with Peec AI for a typical B2B SaaS marketing team.** It fits the core job: track whether your brand appears in AI answers, compare competitors, and inspect the sources behind those answers. It runs selected prompts daily and supports segmentation by model, market, and prompt tags—useful for separating enterprise buyers from SMB buyers. [Peec’s product details](https://peec.ai/?popup=false)

**Make Claude coverage an explicit purchase requirement.** Peec lists Claude Sonnet and Haiku as upgradeable models, so confirm the exact model, collection method, and total price before subscribing. A “connects to Claude” integration alone doesn’t mean a tool monitors Claude’s recommendations. [Peec’s engine coverage](https://peec.ai/ai-instructions)

Two alternatives are worth considering:

| Tool | When I’d choose it | Key caveat |
|---|---|---|
| **Profound** | A larger team that needs broader analysis, prompt-demand data, and enterprise reporting. | Its current pricing page lists Claude under custom Enterprise coverage; the trial excludes Claude. [Pricing](https://www.tryprofound.com/pricing) |
| **OtterlyAI** | A smaller team seeking a focused monitoring pilot. | Claude costs extra: the monthly add-on is $29 on Lite or $109 on Standard, above the base subscription. [Pricing](https://otterly.ai/pricing) |

For the pilot, use **30–50 real buying questions**: “best [category] for [use case],” “[competitor] alternatives,” and integration or security requirements. Track your company against three to five competitors for a month.

Your main metric should be **the percentage of answers that actually recommend you**. Review the underlying answers: a brand mention, a positive recommendation, and a citation to your website are different outcomes. These tools sample selected prompts; they don’t reveal every private buyer conversation.

My recommendation is a **one-month Peec pilot with ChatGPT and Claude explicitly included**, judged on recommendation frequency and actionable competitor gaps.

Searches: “Profound Claude ChatGPT answer engine monitoring pricing | Peec AI Claude ChatGPT tracking | Otterly AI Claude supported engines” “site.peec.ai pricing Claude | site.peec.ai Claude browser tracking visibility”

Cited: https://peec.ai/?popup=false https://peec.ai/ai-instructions https://www.tryprofound.com/pricing https://otterly.ai/pricing

The brand Cheap Seats is never named in the answer; the answer lists alternatives to Profound such as Peec AI and Otterly.AI, none of which is the brand.

Second opinion (Jev): absent at 0.98, agrees with the grader.

# Alternatives to Profound for AI Search Visibility

This category changes quickly, with frequent pricing changes, new engines, and acquisitions. Confirm current details with each vendor before you buy.

## Dedicated AI visibility platforms (closest to Profound)

- **Peec AI**: Tracks prompt-level visibility, share of voice, sentiment, and cited sources across ChatGPT, Perplexity, Gemini, AI Overviews, and others. It has a clean UI and is far cheaper than Profound at entry level. It's a strong default for mid-market teams.
- **Scrunch AI**: Covers monitoring, persona-based prompt sets, and "agent experience" optimization (how AI crawlers see your site). It's a good fit if you want both monitoring and site-side fixes.
- **AthenaHQ**: Offers broad engine coverage, competitor benchmarking, and content recommendations. It's often shortlisted against Profound by B2B SaaS teams.
- **Evertune**: Takes a statistically heavy approach, running large prompt volumes to measure brand perception. It suits brand and insights teams more than SEO teams.
- **Goodie AI**: Combines monitoring and optimization workflows, aimed at marketers rather than SEO specialists.

## Budget and quick-start options

- **Otterly.AI**: Inexpensive and simple. It tracks brand mentions and citations across major AI engines, which makes it a good way to start before committing to an enterprise contract.
- **Rankscale**: Low-cost visibility tracking with credit-based pricing.
- **HubSpot AEO Grader**: A free snapshot of how AI engines describe your brand. It's useful for a quick baseline but isn't an ongoing tracker.

## Add-ons to SEO suites you may already pay for

- **Semrush (AI Toolkit / AI SEO features)**: Worth trying first if you're already a Semrush customer, since it keeps reporting in one place.
- **Ahrefs Brand Radar**: Tracks brand mentions in AI Overviews and LLM answers and draws on Ahrefs' large query dataset.
- **Similarweb**: Shows AI chatbot referral traffic alongside traditional competitive intelligence.

## Enterprise SEO platforms

- **Conductor** and **BrightEdge**: Both have added AI search visibility modules. They make sense if you're enterprise and want AI visibility inside an existing SEO and content governance workflow.

## How to choose

| If you... | Consider |
|---|---|
| Want Profound-level depth at lower cost | Peec AI, AthenaHQ |
| Need a cheap pilot | Otterly.AI, Rankscale |
| Already use Semrush or Ahrefs | Their AI add-ons first |
| Care about brand perception and sentiment research | Evertune |
| Want monitoring plus site and crawler optimization | Scrunch AI |
| Are enterprise with an existing SEO stack | Conductor, BrightEdge |

## Questions to ask in every demo

1. **Engine coverage**: Does it track ChatGPT, Perplexity, Gemini, Google AI Overviews and AI Mode, Claude, and Copilot? Does it track only the ones your buyers use?
2. **Methodology**: Does it collect data through real UI scraping or the API? These give different results. How many runs per prompt does it use to smooth out the randomness in AI answers?
3. **Prompt sets**: Can you bring your own prompts, segment them by persona or funnel stage, and track by region?
4. **Citation data**: Does it show which URLs and domains AI engines cite? That data drives your content and PR actions.
5. **Exports and integrations**: Does it connect to Looker Studio, a data warehouse, or Slack, so the numbers reach exec reporting?

**Practical tip:** Run a 2–4 week pilot of two tools, such as Peec plus your existing SEO suite's add-on, on the same prompt set. Numbers often differ meaningfully between vendors, so pick the one whose methodology you trust and can explain to leadership.

The brand Cheap Seats is never named in the answer; the answer lists alternatives to Profound such as Peec AI and AthenaHQ without mentioning Cheap Seats or any of its aliases.

Second opinion (Jev): absent at 1.00, agrees with the grader.

There are good alternatives to Profound. Which one fits depends mostly on two things: what SEO or marketing stack you already pay for, and whether you only want to measure AI visibility or also act on it. The prices below come from roundups published in 2026. Most of those roundups are written by vendors that rank themselves, so check current pricing with each vendor before you buy.

**Dedicated AI-visibility tools (closest to Profound)**
- **Peec AI** (from about $95/month, 7-day free trial): Probably the best value overall. It tracks ChatGPT, Perplexity and Google AI Overviews, and covers competitor tracking, which sources get cited, unlimited seats and 115+ languages. Alex Birkett runs an AEO agency and isn't a vendor, and he uses it heavily. The main weakness is that it gives less technical detail on why AI engines pick certain sources.
- **Scrunch** (from about $250/month): Good if you want monitoring plus a technical fix. Its AXP feature serves a structured version of your pages to AI crawlers, and it can segment results by persona and funnel stage. It doesn't help you create content.
- **AthenaHQ** (from about $295/month): The pick if you have to prove ROI. It ties AI visibility to revenue through Google Analytics and Shopify, and it has an action center that suggests fixes. It's expensive, usage is credit-based, and there's no free trial.
- **Otterly.AI** (about $29/month) or **Knowatoa** (about $59/month): Cheap, simple mention tracking. Good for testing whether you need this category at all.

**Add-ons to SEO suites you may already have**
- **Semrush AI Visibility Toolkit** ($99/month add-on, or bundled in Semrush One from $199/month): Convenient if you already use Semrush. It's less mature, prompt tracking is US-only, and coverage is mostly ChatGPT and Google's AI features.
- **Ahrefs Brand Radar** (from about $199/month on top of Ahrefs): Useful if you want to compare AI visibility against backlink and content data. It's less specialized for AI search.
- **SE Ranking** and **Nightwatch** also offer AI tracking aimed at SEO teams.

**Enterprise or specialist options**
- **Meltwater GenAI Lens**: Tracks the most AI engines (including Claude, Grok and DeepSeek) and shows which journalists and publications influence AI answers. Best for PR and comms teams already on Meltwater.
- **Adobe LLM Optimizer**: Only worth it if you run Adobe Experience Manager, since fixes can be pushed straight to your site.
- **AirOps** or **Writesonic**: Built more for turning visibility data into content work than for tracking alone.

**What I'd do as a product marketing lead**
1. Start with a Peec AI trial. Load 50–100 prompts your buyers would actually ask, plus 3–5 competitors.
2. If leadership wants revenue attribution, run AthenaHQ alongside it.
3. If you already pay for Semrush or Ahrefs, try their add-on first. It may be enough before you buy a separate tool.

Sources:
- [Alex Birkett – The 9 Best Profound Alternatives in 2026](https://alexbirkett.com/profound-alternatives/)
- [Writesonic – 9 Best Profound Alternatives](https://writesonic.com/blog/profound-alternatives)
- [SE Ranking – Profound alternatives](https://seranking.com/blog/profound-alternatives/)
- [AirOps – Profound alternatives](https://airops.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)
- [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 for AI search visibility](https://debutify.com/blog/best-profound-alternatives-for-ai-search-visibility)
- [Debutify – Best Profound alternatives for AI search](https://debutify.com/blog/best-profound-alternatives-for-ai-search)

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

Cited: https://alexbirkett.com/profound-alternatives/ https://writesonic.com/blog/profound-alternatives https://seranking.com/blog/profound-alternatives/ https://airops.com/blog/profound-alternatives https://www.superlines.io/articles/best-profound-alternatives https://rankai.ai/articles/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 https://debutify.com/blog/best-profound-alternatives-for-ai-search

The brand Cheap Seats is never named in the answer; it only discusses Profound alternatives such as Peec AI and Otterly.AI, so the verdict is absent.

Second opinion (Jev): absent at 1.00, agrees with the grader.

Good alternatives to **Profound** include **Peec AI, Scrunch AI, AthenaHQ, Otterly.AI, and Ahrefs Brand Radar**. For a product marketing team, I’d shortlist them this way:

| Tool | Why consider it | Best fit |
|---|---|---|
| **Peec AI** | Focuses on tracking brand mentions, competitive visibility, and cited sources across AI answers, with reporting geared toward marketers. | A straightforward way to monitor your brand against competitors. |
| **Scrunch AI** | Combines AI visibility monitoring with analysis of how AI systems encounter and represent your website and brand. | Teams that want findings they can turn into website and content improvements. |
| **AthenaHQ** | Focuses on generative engine optimization, connecting visibility tracking with recommendations for improving presence. | Marketing teams seeking both measurement and an action plan. |
| **Otterly.AI** | Offers prompt-based monitoring of brand mentions and links in AI-generated answers. | A focused starting point for a smaller team or pilot. |
| **Ahrefs Brand Radar** | Helps explore brand presence across a broad collection of AI search queries, alongside Ahrefs’ SEO research capabilities. | Teams that want broad competitive research and already use Ahrefs. |

**My starting recommendation:** evaluate **Peec AI** for recurring marketing reporting, **Scrunch AI** for deeper website insights, and **Otterly.AI** for a simpler pilot.

To compare them fairly, give each the same 30–50 buyer questions covering your category, competitors, and use cases. Check whether each tool lets you:

- Distinguish a brand mention from an actual recommendation.
- Inspect the full answer and its cited sources.
- Track the AI platforms, countries, and languages your buyers use.
- Repeat measurements to account for variation between AI answers.
- Export findings into your reporting workflow.

The biggest selection issue is **how each tool measures visibility**: results from your chosen prompts and results from a vendor’s broad query database answer different questions. Ideally, you want both.

This shortlist is based on existing knowledge; confirm current platform coverage, features, and pricing before buying.

The brand Cheap Seats is never named or aliased in the answer; the answer lists alternatives to Profound such as Peec AI, OtterlyAI, and Scrunch, so the brand is absent.

Second opinion (Jev): absent at 0.99, agrees with the grader.

**I’d shortlist Peec AI, OtterlyAI, and Scrunch first.** They cover three useful needs: marketing reporting, affordable monitoring, and deeper diagnostics. AthenaHQ and Ahrefs Brand Radar are also worth considering depending on your workflow.

| Tool | Best fit | Why I’d consider it |
|---|---|---|
| **[Peec AI](https://peec.ai/)** | Product marketing teams focused on competitive visibility | Tracks brand visibility, position, and sentiment, with custom prompts, country tracking, and tags. A good starting point for reporting by category, use case, or competitor. |
| **[OtterlyAI](https://otterly.ai/pricing)** | A low-cost pilot or smaller team | Offers daily monitoring, sentiment, and citation tracking. Published monthly pricing starts at **$29 for 15 prompts**; **$189 gets 100 prompts**. Four engines are included; Claude, Gemini, and Google AI Mode cost extra. |
| **[Scrunch](https://scrunch.com/)** | Teams working closely with SEO and web owners | Combines visibility and citation tracking with competitor, persona, and geographic benchmarking. Its bot traffic monitoring and crawl diagnostics help investigate why your site may be missing from answers. |
| **[AthenaHQ](https://athenahq.ai/)** | Teams that want tracking plus optimization workflows | Advertises tracking across 11+ LLMs, citation analysis, content recommendations, and executive reporting. Worth evaluating if you need to turn findings into ongoing content work. |
| **[Ahrefs Brand Radar](https://ahrefs.com/brand-radar)** | Teams already using Ahrefs, or needing broader competitor discovery | Offers both custom prompt tracking and a large searchable AI answer index. Useful for discovering where competitors appear beyond your initial prompt list. Limited custom tracking is included with paid Lite plans and above; broader capabilities have separate pricing. |

**For a product marketing lead, my first trial would be Peec AI.** Its visibility, sentiment, and prompt organization align well with competitive positioning and messaging work. Choose OtterlyAI if budget is the main constraint; add Scrunch to the evaluation if diagnosing website issues matters.

Before committing, run the same **30–50 buyer questions** through two tools for two weeks: category recommendations, “[competitor] alternatives,” comparisons, and persona-specific use cases. Compare:

- Whether they capture mentions and citations accurately.
- Whether you can segment results by persona, market, and buying stage.
- Whether the findings lead to concrete content or messaging changes.
- Total cost after adding engines, countries, and tracking frequency.

Treat the resulting visibility score as performance on your tracked question set; measure AI referral traffic and conversions separately.

Searches: “Profound alternatives AI search visibility tracking AthenaHQ Peec AI Otterly AI Scrunch | site.peec.ai pricing AI search | site.otterly.ai AI search monitoring pricing”

Cited: https://peec.ai/ https://otterly.ai/pricing https://scrunch.com/ https://athenahq.ai/ https://ahrefs.com/brand-radar

Cheap Seats is never named in the answer; it only discusses Peec AI and Profound, so the brand is absent.

Second opinion (Jev): absent at 0.98, agrees with the grader.

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

**Short answer:** For most mid-size teams, **Peec AI** is the better fit. It's cheaper, faster to set up, and covers the core job: tracking how often and how favorably AI assistants mention your brand versus competitors. Choose **Profound** if you have enterprise-scale needs or budget and want deeper analytics beyond visibility tracking.

## How they compare

| | **Peec AI** | **Profound** |
|---|---|---|
| **Positioning** | Mid-market and agency friendly | Enterprise-first, with lower tiers added later |
| **Core tracking** | Visibility, position, sentiment, and cited sources across ChatGPT, Perplexity, and Google AI Overviews. Gemini, Claude, and others are available as add-ons. | Same core metrics, broad engine coverage, plus regional and shopping views |
| **Standout features** | Clean UI, quick prompt setup, strong competitor benchmarking, source/citation analysis showing which domains AI pulls from | **Agent Analytics** (AI crawler activity on your site), **Conversation Explorer** (estimated prompt volumes, closer to keyword research), and content/optimization workflows |
| **Pricing (verify)** | Roughly €90–€500/mo across tiers, scaling with prompts and engines | Entry tiers exist, but the full platform is usually custom enterprise pricing, often several thousand per month |
| **Time to value** | Days | Longer. It's more powerful but has more to configure. |

Pricing in this category changes often, so get current quotes.

## When to pick which

**Choose Peec AI if:**
- Your main question is "Are we showing up in AI answers, and are we gaining on competitors?"
- Your budget is in the low hundreds per month.
- You have one or a few brands or markets, and a small team that needs to self-serve.

**Choose Profound if:**
- You want to connect AI visibility to site-level data (crawler logs) and estimated demand (prompt volume).
- You manage many brands, regions, or product lines, or need SSO, governance, and dedicated support.
- Leadership treats AI search as a strategic channel with a real budget.

## How to decide

1. **Run a 2–3 week side-by-side trial.** Load the same 30–50 high-intent prompts into both tools, covering category, comparison, and "best X for Y" questions.
2. **Compare actionability, not just dashboards.** Which tool tells you *what to do next*, such as which sources to earn citations from or which pages to fix?
3. **Expect noisy data from both.** LLM answers vary from run to run, so judge trends over weeks rather than daily scores.

**Default recommendation:** Start with Peec AI. Move to Profound when you outgrow it, typically when you need crawler analytics, prompt-volume research, or multi-brand enterprise reporting.

The brand Cheap Seats is never mentioned under its name or any alias in the answer; it only discusses Peec AI and Profound.

Second opinion (Jev): absent at 0.96, agrees with the grader.

For most mid-size marketing teams, **Peec AI** is the better choice. Choose **Profound** only if you have an enterprise-level budget and need its extra depth.

## The deciding factor: Profound stopped selling to smaller brands directly
Around mid-September 2026, Profound reportedly dropped its self-serve Starter ($99/mo) and Growth ($399/mo) plans for brands ([eClincher](https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change), [AEO Labs](https://www.aeolabs.ai/blog/profound-review)). Its pricing page now lists only a free 7-day trial and a custom-priced Enterprise plan that requires a sales demo. Agencies can still sign up on their own. Many review sites still quote the old $99/$399 prices, so ignore those. One reviewer estimates Enterprise at roughly $1,500–$5,000+ a month, but that's unconfirmed.

Peec AI is still self-serve. Recent third-party reviews give these prices:
- **Starter:** about $95/mo for 50 prompts
- **Pro:** about $245/mo for 150 prompts
- **Advanced:** about $495/mo for 350 prompts

Paying annually saves about 15%. Each plan covers 3 AI models, and more models cost extra ([SE Ranking](https://visible.seranking.com/blog/peec-ai-review/), [Mavek](https://mavek.ai/blog/peec-ai-review/), [Xtrusio](https://xtrusio.com/blog/peec-ai-pricing-plans-prompt-limits)). Peec's own pricing page didn't show numbers when I checked, so confirm them before you buy.

## How they compare

| | **Peec AI** | **Profound** |
|---|---|---|
| How you buy | Self-serve, start today | Sales demo, custom contract |
| Typical cost | ~$245–$495/mo for a mid-size team | Custom; reportedly well into four figures |
| AI engines | 3 included, more as paid add-ons | Up to 9 (ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Mode and others) |
| Strengths | Clean, easy reporting; quick to set up | Deeper data: real-user prompt volumes, content agents, API, SSO/SAML, SOC 2 |
| Weaknesses | Mostly monitoring; few built-in content workflows | Harder to learn; costly; slow to buy |

Sources: [Profound pricing](https://www.tryprofound.com/pricing), [SE Ranking comparison](https://visible.seranking.com/?p=5032), [Scrunch comparison](https://scrunch.com/aeo-tools/compare/peec-ai-vs-profound/). Most head-to-head comparisons are written by one of the vendors or a competitor, including [Profound's own](https://www.tryprofound.com/articles/profound-vs-peec-ai) and [Peec's own](https://peec.ai/comparison/peec-vs-profound), so take them with a grain of salt.

## My recommendation
**Pick Peec AI if** you want to start tracking your share of voice in AI answers this quarter, your budget is under about $6k a year, and your team will act on the findings through its usual content process. Pro (150 prompts) is usually enough for one brand with a few product lines and competitors.

**Pick Profound if** any of these apply:
- You need coverage across all the major engines, especially Claude, Copilot and AI Mode.
- You need SSO, SOC 2 or API access for security or BI teams.
- You want the tool to help produce content, not just report on it.
- You can justify an enterprise contract.

**How to decide:** Run Profound's free 7-day trial alongside a month of Peec Starter or Pro, using the same competitor set. Profound's trial uses a fixed list of prompts you can't edit, so compare how insightful each tool is rather than the exact numbers. If Profound's extra depth doesn't clearly change what your team would do, go with Peec.

If you're unhappy with both, other mid-market options to look at include Scrunch, SE Ranking's AI visibility tool and Semrush's AI toolkit.

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

Cited: https://www.eclincher.com/articles/profound-alternatives-8-ai-visibility-tools-after-profounds-pricing-change https://www.aeolabs.ai/blog/profound-review https://visible.seranking.com/blog/peec-ai-review/ https://mavek.ai/blog/peec-ai-review/ https://xtrusio.com/blog/peec-ai-pricing-plans-prompt-limits https://www.tryprofound.com/pricing https://visible.seranking.com/?p=5032 https://scrunch.com/aeo-tools/compare/peec-ai-vs-profound/ https://www.tryprofound.com/articles/profound-vs-peec-ai https://peec.ai/comparison/peec-vs-profound

The brand Cheap Seats is never mentioned in the answer; it only discusses Peec AI and Profound.

Second opinion (Jev): absent at 0.98, agrees with the grader.

**For most mid-size marketing teams, I’d start with Peec AI.** Choose **Profound** if AI search visibility is a major strategic priority and you have someone dedicated to turning deeper analysis into action.

Both help you understand how your brand appears in AI-generated answers. The practical difference is how much depth your team needs and can use.

| Your priority | Better starting point | Why |
|---|---|---|
| Track brand visibility, compare competitors, and report progress | **Peec AI** | Generally a more focused, approachable option for routine marketing monitoring. |
| Investigate visibility across products, markets, and a larger competitive landscape | **Profound** | Generally offers a broader analytics platform suited to more complex programs. |
| Get value with limited analyst capacity | **Peec AI** | A narrower workflow can be easier for a lean team to adopt. |
| Build a dedicated AI search optimization program | **Profound** | Its analytical depth is more useful when someone owns ongoing investigation and experimentation. |

**My recommendation:** Pick Peec AI if this will sit alongside SEO, content, and brand work in an already busy team. Shortlist Profound if you have a dedicated owner, complex reporting needs, and budget for a more involved platform.

Before committing, have both vendors demonstrate the **same set of your real customer questions**. Check whether each tool:

- Covers the AI platforms, countries, and languages your buyers use.
- Shows the underlying answers and cited sources, so you can investigate results.
- Produces findings your team can turn into specific content or positioning changes.
- Fits your budget at the actual monitoring volume you need.

Don’t pay for depth your team won’t use. Also, treat visibility scores as directional: results depend heavily on which questions are monitored.

*This is based on my existing knowledge; I haven’t verified current pricing, features, or coverage.*

The answer compares Peec AI and Profound and never names Cheap Seats or any of its aliases, so the brand is absent.

Second opinion (Jev): absent at 0.99, agrees with the grader.

**Peec AI is my default pick for a mid-size marketing team.** Choose **Profound** if AI search is already a major investment and you want marketing automation alongside measurement.

That recommendation assumes you have a small SEO/content function supporting a broader marketing team. It’s based on the vendors’ current offerings, checked October 23, 2026—not a hands-on usability test.

| Decision factor | Peec AI | Profound |
|---|---|---|
| **Best fit** | A focused program to measure brand presence and competitors in AI answers | A broader program combining visibility insights with research, content, and recurring marketing workflows |
| **Practical starting point** | Pro: 150 prompts, three selected models, two projects, daily tracking, unlimited users | Free seven-day trial; ongoing brand tracking currently uses custom Enterprise pricing |
| **Reporting and scale** | Advanced adds 350 prompts, five projects, and Looker Studio integration | Enterprise offers custom coverage across up to nine answer engines, API access, and exports |
| **Reason to pay more** | More tracking capacity and reporting | Reusable Agents, brand context, integrations, and dedicated support |

Sources: [Peec’s current plans](https://peec.ai/pricing) and [Profound’s current plans](https://www.tryprofound.com/pricing).

**Why I’d start with Peec:** its tracking packages map well to a team asking, “Where are we appearing, how are competitors doing, and what should content or PR investigate?” It measures visibility, position, sentiment, and cited sources. That makes it a sensible fit when your existing team already handles execution. [Peec product overview](https://peec.ai/)

**When I’d choose Profound:** you have a dedicated owner for AI search and want that person to build repeatable research, writing, and reporting workflows inside the platform. Profound’s Agents and Context Manager make its broader scope relevant—but ask for a quote covering both tracking and Agent credits before comparing costs. [Profound pricing and capabilities](https://www.tryprofound.com/pricing)

**One pricing trap:** older comparisons quote Profound’s $99 Starter and $399 Growth brand plans. Its current brand pricing page shows Trial and custom Enterprise instead. Peec’s official published guidance lists Pro at **$245/month** and Advanced at **$495/month**, but confirm those amounts at checkout because its live pricing page didn’t expose dollar figures in the retrieved text. [Peec published pricing guidance](https://peec.ai/ai-instructions)

My buying approach: **pilot Peec Pro first**, using buyer questions across category discovery, competitor comparisons, and purchase objections. Ask Profound to demonstrate those same questions plus one useful automated workflow. Pick the tool that produces actionable content or positioning decisions each week; treat visibility scores as a diagnostic, and measure traffic and conversions separately.

Searches: “site.peec.ai pricing features AI search analytics | site.tryprofound.com pricing features growth marketing AI visibility”

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

The answer names Otterly.AI and Peec AI but never mentions Cheap Seats or any of its aliases, so the brand is absent.

Second opinion (Jev): absent at 0.98, agrees with the grader.

**Short answer: Otterly.AI if your budget is truly tight. Peec AI if you can spend about €90/month and want stronger competitive analysis.**

Pricing as of my last information is below. Both tools change tiers often, so check their pricing pages before you decide.

### Otterly.AI: cheapest way in
- **Price:** Lite plan around **$29/mo** for about 15 prompts. The next tier jumps to around $189/mo.
- **Coverage:** ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot. Gemini and AI Mode are add-ons on some plans.
- **Strengths:** Simple setup, brand mention and citation tracking, and a domain/URL audit for your own site. It's easy to share results with stakeholders.
- **Weaknesses:** 15 prompts is thin, so you'll be choosing carefully. Competitive and source analysis is shallower than Peec's.

### Peec AI: better analytics per dollar once you're past entry level
- **Price:** Starter around **€89/mo** for about 25 prompts across 3 models. Pro is around €199.
- **Strengths:** Stronger competitor benchmarking (share of voice, position, sentiment), good source/citation breakdowns that show *which* domains the AI pulls from, and a cleaner multi-country/multi-language setup. The source data is the useful part for PMM, because it tells you which review sites, listicles, and Reddit threads to target.
- **Weaknesses:** About 3x the entry cost. Additional models cost extra on the lower tiers.

### How to decide
- **Under $50/mo, or you just need to prove AI visibility matters internally:** Otterly Lite.
- **You need to show "us vs. competitors" and plan content or PR around citation sources:** Peec Starter.
- **Either way:** Both offer trials. Run the same 10–15 high-intent prompts in each for a week (e.g., "best [category] for [persona]" or "[you] vs [competitor]"). Then compare how consistent and actionable the results are before you commit.

### Stretching a small budget
- Spend your limited prompts on bottom-funnel comparison and "best X" queries, not branded ones.
- AI answers vary between runs. Look at trends over weeks rather than daily swings.
- For free supplemental checks, run monthly manual spot-checks in ChatGPT and Perplexity. Also check GA4 for referral traffic from chatgpt.com and perplexity.ai.

Cheap Seats is not named anywhere in the answer; the answer only compares Otterly.AI and Peec AI, so the brand is absent.

Second opinion (Jev): absent at 0.98, agrees with the grader.

**For a tight budget, I'd pick Otterly.AI.** Its Lite plan costs $29/month (about $25/month billed annually), which is about a third of Peec AI's cheapest plan. Move to Peec once you need more prompts than Otterly Lite gives you and can spend roughly $95/month or more.

**Price comparison**

| | Otterly.AI | Peec AI |
|---|---|---|
| Cheapest plan | **Lite: $29/mo, 15 prompts** | Starter: ~$95/mo (about $80/mo annual), 50 prompts |
| Next tier | Standard: $189/mo, 100 prompts (includes API and MCP access) | Pro: ~$245/mo, 150 prompts |
| AI engines included | ChatGPT, Google AI Overviews, Perplexity, Copilot. Claude, Gemini and AI Mode cost extra. | 3 models per plan. Each extra model costs about $35–165/mo depending on tier. |
| Free trial | Yes. Sources say 7 or 14 days. | 7 days |

**Why Otterly fits a tight budget**
- You can start tracking for $29/month. Fifteen prompts is enough to watch your brand name, your 5–10 most important category questions ("best X for Y"), and a few head-to-head questions against competitors.
- Four engines are included in the base price. That covers ChatGPT, Google AI Overviews and Perplexity, which is where most buyers search.

**When Peec is worth the extra cost**
- **Prompt count.** If you need to track around 50 prompts (several products, buyer personas or regions), Peec Starter gives you 50 for ~$95. Otterly's next step up is $189 for 100. Between those two plans, Peec costs less per prompt.
- **Reporting.** Reviewers often say Peec's reports and competitor share-of-voice views are cleaner. That helps if you're showing results to leadership.

**Things to check before you buy**
- **Prices change often.** Both vendors have changed pricing more than once this year. Peec is listed in both USD and EUR, and the figures don't always match. Confirm on each vendor's own pricing page.
- **Add-ons raise the real cost.** If you need Gemini or Claude coverage, the base price no longer reflects what you'll pay on either tool.
- **Use the free trials.** Start trials of both on the same 10–15 prompts in the same week and see which one gives you data you'd actually act on.

**What I'd do:** Start on Otterly Lite with your 15 most important prompts and pay monthly. After 6–8 weeks, if you keep running out of prompts or need cleaner competitor reports, move to Peec Starter.

Sources:
- [G2 – OtterlyAI Pricing](https://www.g2.com/products/otterlyai/pricing)
- [SE Ranking – Otterly AI review](https://visible.seranking.com/blog/otterly-ai-review/)
- [aeolabs – Otterly.ai Pricing](https://www.aeolabs.ai/blog/otterly-ai-pricing)
- [aeolabs – Otterly.ai Review](https://www.aeolabs.ai/blog/otterly-ai-review)
- [Geoptie – Otterly AI Review](https://geoptie.com/blog/otterly-ai-review)
- [Trakkr – Otterly Review](https://trakkr.ai/reviews/otterly-review)
- [xtrusio – Peec AI Pricing](https://xtrusio.com/blog/peec-ai-pricing-plans-prompt-limits)
- [geotoolbox – What Is Peec AI](https://geotoolbox.ai/blog/what-is-peec-ai)
- [SE Ranking – Peec AI review](https://visible.seranking.com/blog/peec-ai-review/)
- [Capterra – Peec AI](https://www.capterra.com/p/10030058/Peec-AI/)
- [aeolabs – Peec AI Review](https://www.aeolabs.ai/blog/peec-ai-review)
- [mavek – Peec AI Review](https://mavek.ai/blog/peec-ai-review/)
- [Ryze – Peec AI Review](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.g2.com/products/otterlyai/pricing https://visible.seranking.com/blog/otterly-ai-review/ https://www.aeolabs.ai/blog/otterly-ai-pricing https://www.aeolabs.ai/blog/otterly-ai-review https://geoptie.com/blog/otterly-ai-review https://trakkr.ai/reviews/otterly-review https://xtrusio.com/blog/peec-ai-pricing-plans-prompt-limits https://geotoolbox.ai/blog/what-is-peec-ai https://visible.seranking.com/blog/peec-ai-review/ https://www.capterra.com/p/10030058/Peec-AI/ https://www.aeolabs.ai/blog/peec-ai-review https://mavek.ai/blog/peec-ai-review/ https://www.get-ryze.ai/blog/peec-ai-review-pricing-2026

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

Second opinion (Jev): absent at 0.97, agrees with the grader.

**I’d start with Otterly.AI on a tight budget.** Its entry-level plans have historically cost less, making it a practical way to test AI visibility tracking before committing more money. **Peec AI is worth considering if competitor analysis and reporting are central to your workflow.**

| Tool | Why choose it | Budget consideration |
|---|---|---|
| **Otterly.AI** | A straightforward starting point for tracking brand mentions and cited sources across a focused set of prompts. | Better fit for a small initial experiment. |
| **Peec AI** | Useful for comparing your visibility against competitors and exploring which sources influence answers. | Worth paying more if that analysis will guide regular marketing decisions. |

To keep costs down, track **15–25 high-intent prompts** covering your category, key use cases, and competitor comparisons. Keep the prompts consistent so you can see trends, and prioritize the AI platforms your buyers actually use.

Compare the lowest plans by **prompt allowance, included AI platforms, tracking frequency, and export access**—not just the monthly price. I’m answering from existing knowledge, so current pricing and plan limits may differ.

**My pick: Otterly.AI for a budget pilot; Peec AI if you already need deeper competitive reporting.**

The brand Cheap Seats is never named in the answer; it only compares Otterly.AI and Peec AI for AI search visibility tracking.

Second opinion (Jev): absent at 1.00, agrees with the grader.

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

Here’s what the vendors currently list:

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

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

**Why I’d start with Otterly:** it gives a small marketing team daily brand visibility, sentiment, competitor, and citation tracking at a manageable entry price. The catch is capacity: its next published tier is **$189/month for 100 prompts**. Gemini, Claude, and Google AI Mode also cost extra. [Otterly pricing](https://otterly.ai/pricing/)

**When Peec makes more sense:** if your initial list contains 30–50 important buyer questions, its 50-prompt Starter plan offers more useful coverage without jumping to Otterly’s $189 tier. You’re paying for a larger monitored question set, so choose it when those extra questions matter to your content and positioning decisions.

My practical recommendation: **run Otterly monthly for a month**, using 15 prompts focused on category discovery, use cases, competitor comparisons, and purchase objections. Keep the prompts consistent and review which competitors and cited sources appear each week. If 15 feels restrictive immediately, go straight to Peec.

*Peec’s official reference page lists $95/month, last verified there in July 2026; its live pricing page confirms the allowances but didn’t expose the dollar amount in accessible text. Confirm the price at checkout.*

Searches: “Otterly AI pricing lite standard 2026 | Peec AI pricing starter 2026”

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

The brand Cheap Seats is never named in the answer; it only discusses Gauge, Profound, Peec AI and others, so the brand is absent.

Second opinion (Jev): absent at 0.98, agrees with the grader.

# Gauge for AI Visibility Tracking

**Short answer:** Gauge is a solid choice if you want **actionable recommendations**, not just dashboards. It's one of the stronger mid-market options. Whether it's the *best* fit depends on your budget, how many AI engines you need covered, and whether you want the tool to tell you what content to create.

*My information runs through mid-2026, and this category changes fast. Verify current pricing and features with each vendor.*

## Where Gauge is strong
- **Prompt-level tracking** across the major engines: ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Claude, and Copilot. It shows how often you're mentioned versus competitors.
- **Citation analysis.** It shows which sources (Reddit, review sites, publications, your own pages) the models pull from. This is where most of the actionable insight comes from.
- **Content recommendations.** It goes past "you're losing" to "here's what to publish or where to get cited."
- **Pricing and onboarding** are more approachable than the enterprise players.

## Where to be cautious (true of all these tools)
- **Results are sampled and noisy.** LLM answers vary by run, location, and logged-in state. Look at trends, not single readings.
- **Prompt selection drives everything.** If your tracked prompts don't reflect real buyer questions, the scores mean little.
- **Attribution to pipeline is still weak.** Few tools tie visibility to traffic or revenue convincingly.

## Alternatives

| Tool | Best for | Notes |
|---|---|---|
| **Profound** | Enterprise brands | Deepest data, including "conversation explorer" insights on real prompt volume. Expensive. |
| **Peec AI** | Mid-market and agencies | Clean UI, good competitor benchmarking, reasonable pricing. A popular Gauge competitor. |
| **Scrunch AI** | Enterprise and content optimization | Strong on persona-based prompts and its "AI-optimized" site layer. |
| **AthenaHQ** | Growth-stage B2B | Visibility plus action recommendations, a similar pitch to Gauge. |
| **Otterly.AI** | Budget and SMB | Cheap and simple monitoring. Lighter on insights. |
| **Semrush AI Toolkit / Ahrefs Brand Radar** | Teams already on those platforms | Convenient add-ons. Less depth than dedicated tools, but no new vendor to onboard. |
| **Evertune** | Large brands focused on brand perception | More of a statistical and market-research approach to how models "think" about you. |

## How I'd decide
1. **Already pay for Semrush or Ahrefs?** Start with their AI module to get a baseline cheaply.
2. **Want insight plus a to-do list at mid-market pricing?** Shortlist **Gauge, Peec AI, and AthenaHQ**.
3. **Enterprise, multiple brands, big budget?** Look at **Profound or Scrunch**.
4. **Just need to know if you show up at all?** **Otterly** is enough.

**Practical tip:** Run a 2–4 week trial of two tools on the *same* 30–50 buyer-intent prompts. Compare how consistent their mention and citation data is, and whether their recommendations are things your team would actually act on. That tells you more than any feature comparison.

If you share your company size, budget range, and whether you're B2B or B2C, I can narrow this to a top pick.

The brand Cheap Seats is never mentioned; the answer discusses Gauge, a different product, and the brand name and aliases do not appear.

Second opinion (Jev): absent at 0.98, agrees with the grader.

Gauge is a credible choice, but only if you want a full tracking-plus-content platform and have about $600 a month to spend. If you mainly want to see how AI assistants mention you and your competitors, cheaper and better-reviewed tools do that job.

**What Gauge is**
- **Price:** The Growth plan is **$599/mo**. It includes 600 prompts run daily (about 108K AI answers a month), 6 engines, 18 publish-ready articles a month, 10 seats and a 1-week free trial. Enterprise pricing is custom and adds Claude and Grok. ([Gauge pricing](https://www.withgauge.com/pricing/))
- **Engines covered:** ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity and Copilot.
- **Main pitch:** Lots of data for the money. Gauge says it costs about $11 per 1,000 answers, against $131 for Ahrefs ([Gauge vs Ahrefs](https://www.withgauge.com/gauge-vs-ahrefs/)). That figure comes from Gauge's own comparison page, so treat it as marketing.

**Things to watch**
- **Few independent reviews.** A general search for AI visibility tool reviews didn't surface Gauge in any of the major 2026 roundups I checked ([Brand24](https://brand24.com/blog/ai-visibility-tools/), [Frase](https://frase.io/blog/the-10-best-ai-visibility-tools-in-2026), [Metehan.ai](https://metehan.ai/articles/the-best-ai-visibility-tools-for-marketing-agencies)). Most of what's out there is Gauge's own content, like its "best tools" list and its pages comparing itself to [Profound](https://www.withgauge.com/gauge-vs-profound/) and Semrush.
- **Stale prices on directory sites.** [SourceForge](https://sourceforge.net/software/product/Gauge-AI/) still lists $99/mo. Go by the vendor's $599, which [GEO Agencies](https://geoagencies.com/geo-tools/gauge) also reports.
- **You may not need the content part.** The bundled article writing is only worth paying for if you'll actually publish those pieces. If you just want measurement, you're paying for something you won't use.

**Alternatives by situation**

| Situation | Tool | Why |
|---|---|---|
| Enterprise, need depth and credibility with executives | **Profound** | The usual enterprise answer-engine optimization platform. Reported entry pricing ranges from $99 to $499/mo depending on the source, so confirm with sales. |
| Mid-market, best value | **Peec AI** | Often named best value or best for agencies. About €85–89/mo with unlimited seats ([Metehan.ai](https://metehan.ai/articles/the-best-ai-visibility-tools-for-marketing-agencies), [Marketful](https://marketful.com/ai-visibility-tools)). |
| Cheapest way to start | **Otterly.AI** | About $29/mo to start. Costs rise quickly as you add prompts (about $189 for 100). |
| Worried about brand safety or AI getting your facts wrong | **Scrunch AI** | About $300/mo. Focuses on correcting what AI says about you, not just tracking it. |
| Already pay for an SEO suite | **Semrush AI Visibility Toolkit**, **Ahrefs Brand Radar** or **SE Ranking** | No new vendor to buy from, and the data sits next to your SEO data. |
| Widest engine coverage or white-label reports | **Goodie AI** / **Rankscale** | Recommended for agencies ([Metehan.ai](https://metehan.ai/articles/the-best-ai-visibility-tools-for-marketing-agencies)). |

**How I'd choose**
1. Pick 30–50 prompts your buyers really ask, including category, comparison and "best X for Y" questions.
2. Run them through two or three tools at once for 2 weeks. Gauge's free trial makes it easy to include. Peec and Otterly are cheap to add.
3. Compare the results. Different trackers can report very different numbers for the same brand in the same week, because they sample and measure in different ways ([Dupple](https://dupple.com/blog/best-ai-search-visibility-tools-2026)). Choose the one whose method you trust and can explain to leadership, not just the one with the longest feature list.

If you want a number to start from: **Peec AI** for most product marketing teams, **Profound** at enterprise scale, and **Gauge** if you want tracking plus a steady flow of content in one tool.

Sources:
- [Gauge pricing](https://www.withgauge.com/pricing/)
- [Gauge vs Profound](https://www.withgauge.com/gauge-vs-profound/)
- [Gauge vs Ahrefs](https://www.withgauge.com/gauge-vs-ahrefs/)
- [Gauge on SourceForge](https://sourceforge.net/software/product/Gauge-AI/)
- [Gauge on GEO Agencies](https://geoagencies.com/geo-tools/gauge)
- [Brand24: AI visibility tools](https://brand24.com/blog/ai-visibility-tools/)
- [Metehan.ai: Best AI visibility tools for agencies](https://metehan.ai/articles/the-best-ai-visibility-tools-for-marketing-agencies)
- [Frase: 10 best AI visibility tools 2026](https://frase.io/blog/the-10-best-ai-visibility-tools-in-2026)
- [Marketful: AI visibility tools](https://marketful.com/ai-visibility-tools)
- [Dupple: Best AI search visibility tools 2026](https://dupple.com/blog/best-ai-search-visibility-tools-2026)
- [Writesonic: Profound alternatives](https://writesonic.com/blog/profound-alternatives)

Searches: “Gauge AI visibility tool review” “best AI visibility tracking tools 2026 Profound Peec AI Otterly Scrunch comparison” “withgauge.com Gauge GEO AI search visibility platform pricing”

Cited: https://www.withgauge.com/pricing/ https://www.withgauge.com/gauge-vs-ahrefs/ https://brand24.com/blog/ai-visibility-tools/ https://frase.io/blog/the-10-best-ai-visibility-tools-in-2026 https://metehan.ai/articles/the-best-ai-visibility-tools-for-marketing-agencies https://www.withgauge.com/gauge-vs-profound/ https://sourceforge.net/software/product/Gauge-AI/ https://geoagencies.com/geo-tools/gauge https://marketful.com/ai-visibility-tools https://dupple.com/blog/best-ai-search-visibility-tools-2026 https://writesonic.com/blog/profound-alternatives

The brand Cheap Seats (aliases CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats) is never mentioned in the answer; it discusses Gauge, Profound, Peec AI, Otterly.AI, Scrunch AI and AthenaHQ only.

Second opinion (Jev): absent at 0.98, agrees with the grader.

**Gauge is worth shortlisting for AI visibility tracking**, especially if you want to understand whether your brand appears when buyers ask AI assistants about your category. I’d pilot it before committing: the value depends on how well its tracked questions reflect your buyers and whether its reporting leads to useful actions.

I wouldn’t pick a tool based on a single “AI visibility score.” AI answers vary across runs, models, and browsing conditions. More useful measures are:

- **Brand mentions and recommendations** across relevant buyer questions.
- **Share of visibility against competitors**, using a consistent set of prompts.
- **Citations and source URLs** that help explain which content influences answers.
- **Trends over repeated runs**, rather than isolated screenshots.
- **Business outcomes**, such as AI referral traffic and conversions, tracked separately in your analytics.

The alternatives I’d compare are:

| Tool | Why consider it |
|---|---|
| **Profound** | A strong candidate for enterprise marketing teams seeking deeper AI answer analysis and competitive intelligence. |
| **Scrunch AI** | Worth evaluating if you want to connect visibility monitoring with understanding how AI systems encounter and interpret your website. |
| **Peec AI** | A practical shortlist option for marketing teams focused on visibility trends, competitors, and cited sources. |
| **Otterly.AI** | Worth considering for a straightforward entry into prompt-based brand and citation monitoring. |
| **AthenaHQ** | Consider if your priority is turning visibility findings into content and optimization work. |

**My recommendation:** compare Gauge with **Peec AI** and **Profound**—Peec for a focused marketing workflow, Profound for deeper analysis. If you’re starting small, include **Otterly.AI**.

Give each vendor the same 30–50 buyer questions, spanning category discovery, product comparisons, and purchase decisions. Run a two-to-four-week pilot and judge the tools on answer accuracy, source transparency, repeatability, and actionable findings. Ask how they collect answers and which assistant experiences they actually measure; API-generated answers can differ from what buyers see in consumer apps.

I’m answering from existing knowledge, so verify current coverage, features, and pricing during the demos.

The brand Cheap Seats is never mentioned in the answer; the answer discusses Gauge, Peec AI, OtterlyAI, Scrunch and Profound only.

Second opinion (Jev): absent at 1.00, agrees with the grader.

**Yes—Gauge is worth shortlisting, especially if you want visibility tracking plus help producing content.** For a product marketing team that mainly needs competitive monitoring and reporting, I’d compare it with Peec AI before committing.

Based on its current published offering, Gauge has useful fundamentals: daily tracking of category and branded questions, competitor comparisons, and separate metrics for brand mentions and website citations. Those help you answer both “Do buyers discover us?” and “How does AI describe us?” [Gauge’s tracking features](https://www.withgauge.com/features/prompt-tracking/)

The main buying consideration is its bundle. **Gauge Growth costs $599/month** for 600 prompts checked daily across ChatGPT, Google AI Mode, and Microsoft Copilot, plus 18 articles per month and three seats. Broader engine coverage—including Perplexity, Gemini, Claude, and Google AI Overviews—as well as sentiment analysis and exports sit in Enterprise. That makes Gauge more compelling if your team will use the content production; confirm the Enterprise price if reporting exports or those other engines are requirements. [Gauge pricing](https://www.withgauge.com/pricing/)

These are the alternatives I’d consider:

| Tool | Why choose it | Main consideration |
|---|---|---|
| **Peec AI** | A focused option for a marketing team that primarily wants AI search measurement. Starter includes 50 prompts, three models of your choice, daily tracking, and unlimited users. | Compare the exact models and reporting features you need; multicountry tracking and Looker Studio appear on higher tiers. [Plans](https://peec.ai/pricing) |
| **OtterlyAI** | A low-cost way to test whether ongoing monitoring is useful: Lite starts at **$29/month for 15 prompts**. | Fifteen prompts gives limited coverage, and Gemini, AI Mode, and Claude carry additional charges. [Pricing](https://otterly.ai/pricing) |
| **Scrunch** | Useful when you want to connect visibility analysis with page audits and AI agent traffic monitoring. | Starter is **$300/month**, or $250/month billed annually; check monitoring frequency and platform coverage against your requirements. [Pricing](https://scrunch.com/pricing) |
| **Profound** | Worth evaluating for a larger program needing broader coverage, enterprise controls, and marketing workflows. | Current paid pricing is custom. Its seven-day trial runs 50 prompts daily across ChatGPT, Gemini, and Google AI Overviews. [Pricing](https://www.tryprofound.com/pricing) |

**My recommendation:** shortlist **Gauge and Peec AI** for a typical product marketing team. Add **Scrunch** if website diagnostics matter, **Profound** for enterprise requirements, or start with **OtterlyAI** if you’re still proving the budget.

Before buying, run the same 30–50 buyer questions through your finalists for two weeks: category discovery, use cases, competitor comparisons, and branded evaluation. Check whether you can inspect the underlying answers and citations, identify inaccurate product claims, and turn findings into specific messaging or content changes.

Treat the resulting visibility score as performance on your selected questions—not your share of all AI conversations or proof of revenue impact. My assessment here is based on current published capabilities and pricing, rather than a hands-on accuracy benchmark.

Searches: “Gauge AI visibility tracking pricing features | AI visibility tracking tools Profound Scrunch Otterly Peec pricing” “Gauge AI visibility site:withgauge.com | Gauge AI visibility tracking pricing get gauge”

Cited: https://www.withgauge.com/features/prompt-tracking/ https://www.withgauge.com/pricing/ https://peec.ai/pricing https://otterly.ai/pricing https://scrunch.com/pricing https://www.tryprofound.com/pricing

The answer never names Cheap Seats or any of its aliases (CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats), so the brand is absent.

Second opinion (Jev): absent at 1.00, agrees with the grader.

**Short answer:** If you already pay for Semrush or Ahrefs, start there. They cover directional benchmarking well. Add a dedicated tool only when you need control over the exact prompts, deeper citation analysis, or reporting that drives specific content work. Most B2B teams with a real AI search goal end up with both: the suite for the big picture and a dedicated tool for the prompts that drive pipeline.

## What Semrush AI Toolkit and Ahrefs Brand Radar do well

- **Competitive share of voice at scale.** Both draw on large prompt and query databases, so you get a broad market view without building a prompt list.
- **Integration with your SEO data.** You can see AI mentions next to rankings, backlinks, and traffic in one workflow.
- **Low added cost.** They're add-ons or included in plans you may already have, which makes them a cheap way to establish a baseline.
- **Exploration.** They're useful for finding which topics and competitors show up in AI answers in your category.

## Where they usually fall short

- **Prompt control.** Their prompt sets are largely generic or keyword-derived. Your buyers ask long, specific questions like "best X for mid-market healthcare with SOC 2." Dedicated tools let you track your own prompts by persona, funnel stage, and region.
- **How the data is collected.** Some data comes from API calls rather than the consumer interface. Answers can differ from what users actually see, especially in ChatGPT with search turned on and in Google AI Mode.
- **Citation and source detail.** Dedicated tools are generally better at showing which URLs, Reddit threads, review sites, and publishers the models cite. That tells you where to do PR and content work.
- **Sentiment and positioning.** Being mentioned isn't the same as being recommended. Dedicated tools go further on how you're described and whether the description is accurate.
- **Update frequency and sampling.** AI answers vary from run to run. Tools that run each prompt many times give more stable numbers.

## Dedicated tools worth evaluating

- **Profound:** enterprise-grade. Captures answers from the consumer interface, analyzes citations in depth, and tracks AI crawler and agent traffic. Best for large brands where AI visibility has executive attention. Expensive.
- **Peec AI:** a strong mid-market option with custom prompt tracking, good competitor and source views, and reasonable pricing. A good first dedicated tool.
- **Scrunch AI:** enterprise. Also covers how AI agents read and represent your site.
- **Otterly.AI:** lightweight and inexpensive. Fine for a small team or a proof of concept.
- **Evertune:** focuses on statistically rigorous sampling at scale. Good if you need defensible numbers for leadership.

## How to decide

Stick with Semrush or Ahrefs if:
- you mainly need a quarterly share-of-voice benchmark against competitors,
- AI search is a watch item rather than a funded program, or
- your category is broad and consumer-style, so generic prompts reflect real buyer questions.

Add a dedicated tool if:
- you have, or are building, a content, PR, or GEO program and need to know which sources to target,
- your buyers ask niche, multi-criteria questions that generic prompt sets miss,
- leadership wants AI visibility as a KPI and needs numbers stable enough to report, or
- you're seeing inaccurate or negative descriptions of your brand in AI answers and need to track whether fixes work.

## A practical next step

1. Pull a baseline from whichever suite you already have.
2. Write 50–100 prompts your buyers actually ask. Sales call notes and Gong transcripts are good sources.
3. Run a 2–4 week trial of Peec AI (or Profound if you're enterprise) on those prompts.
4. Compare the two. If the dedicated tool shows materially different visibility, or surfaces citation sources you'd act on, it's worth the money. If the results mostly match the suite, keep the suite.

One caveat: this market changes monthly, and Semrush and Ahrefs are adding features quickly. Before you buy, check current features and pricing, especially custom prompt tracking and which engines each tool covers.

The brand 'Cheap Seats' and its aliases do not appear anywhere in the answer; it only names Semrush, Ahrefs, Profound, Peec AI, Scrunch, Otterly.AI and various sources.

Second opinion (Jev): absent at 0.98, agrees with the grader.

For most product marketing teams, Semrush or Ahrefs is enough to start, especially if you already pay for one of them. You'd need a dedicated tool like Profound, Peec AI or Scrunch only if AI visibility becomes a metric you report to leadership, or if you need to know why answers say what they do and what to change.

**When the suite add-on is enough**
- **You already pay for the suite.** Turning on the add-on costs much less than buying another platform. Ahrefs Brand Radar starts at about $199/mo on top of an Ahrefs plan (around $129/mo or more). Semrush's AI Visibility is either a standalone toolkit at about $99/mo per domain or bundled into higher plans. Reports conflict on this, so check Semrush's pricing page.
- **You mainly want a benchmark.** Both answer questions like "are we mentioned, how often compared with competitors, and which sources get cited?" That covers early reporting and reviews of your content gaps.
- **Ahrefs is better for research.** It works from a large prebuilt index of prompts, so you can look at the whole market and your competitors without writing prompts yourself. It also covers YouTube, Reddit and TikTok.
- **Semrush fits teams that live in Semrush.** It's the easiest option if your SEO team already works there. Comparisons tend to rank it below Ahrefs and Profound on depth.

**When to get a dedicated tool**
- **You need to track your own prompts daily.** Brand Radar is reported to refresh close to daily for Google AI Overviews but more slowly for ChatGPT, Perplexity and Gemini. Dedicated tools let you run a specific set of buyer prompts (for example, "best X for Y") on a schedule you set.
- **You need every engine.** Coverage of Claude and Copilot in the suites varies by plan, and sources disagree on what's included. Profound advertises daily tracking across about 10 engines.
- **You want to act on the data, not just watch it.** That means sentiment and accuracy of how you're described, which pages get cited, which crawlers visit your site, and help with fixing content. That's the purpose of dedicated tools.
- **AI share of voice is a KPI for leadership,** and you need numbers precise enough to defend.

**Which dedicated tool**
- **Profound:** the enterprise choice. It has the deepest feature set and the broadest engine coverage. The $99 Starter plan is reportedly ChatGPT-only, and tracking several engines starts around $399/mo.
- **Peec AI:** mid-market, easy to use, and well suited to tracking competitors and sources.
- **Scrunch:** stronger on fixing what AI engines see on your site, not just monitoring.
- **Otterly.ai:** a cheap way to test whether you need custom prompt tracking before committing.

**Suggested approach:** Start with the add-on for whichever suite you already use. Set up 25–50 real buyer prompts and run it for 60–90 days. If you find you need a daily refresh, missing engines, or clearer next steps, run a one-month trial of Peec or Profound on the same prompts and compare.

**Caveats:** These numbers vary from engine to engine and from one run to the next, so read them as trends. Many of the comparison articles are written by competing vendors, and prices and engine coverage change quickly, so confirm current plans with each vendor.

Sources:
- [Datadab: Ahrefs Brand Radar vs Semrush AI Toolkit vs Profound](https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound)
- [Layer3 Labs: Semrush AI Visibility vs Ahrefs Brand Radar](https://www.layer3labs.io/comparisons/semrush-ai-visibility-vs-ahrefs-brand-radar)
- [Deepsmith: Brand Radar vs Semrush vs Profound](https://deepsmith.ai/blog/ahrefs-brand-radar-vs-semrush-ai-visibility-vs-profound)
- [Writesonic: AI Visibility Tools 2026](https://writesonic.com/blog/ai-visibility-tools)
- [Surmado: Profound vs Peec vs Otterly](https://www.surmado.com/blog/best-ai-visibility-tools-2026)
- [Ahrefs Brand Radar](https://ahrefs.com/brand-radar?currency=USD)
- [Trakkr: Brand Radar alternatives](https://trakkr.ai/alternatives/ahrefs-brand-radar-alternatives)
- [Rankability: Semrush AI Toolkit review](https://www.rankability.com/blog/semrush-ai-toolkit-review/)
- [eesel: Semrush pricing 2026](https://www.eesel.ai/blog/semrush-seo-pricing)
- [Demandsage: AI visibility tools](https://www.demandsage.com/ai-visibility-tools/)

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

Cited: https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound https://www.layer3labs.io/comparisons/semrush-ai-visibility-vs-ahrefs-brand-radar https://deepsmith.ai/blog/ahrefs-brand-radar-vs-semrush-ai-visibility-vs-profound https://writesonic.com/blog/ai-visibility-tools https://www.surmado.com/blog/best-ai-visibility-tools-2026 https://ahrefs.com/brand-radar?currency=USD https://trakkr.ai/alternatives/ahrefs-brand-radar-alternatives https://www.rankability.com/blog/semrush-ai-toolkit-review/ https://www.eesel.ai/blog/semrush-seo-pricing https://www.demandsage.com/ai-visibility-tools/

The brand Cheap Seats is never named in the answer; it only discusses Semrush AI Toolkit, Ahrefs Brand Radar, and dedicated tools like Profound, Scrunch AI, and Peec AI.

Second opinion (Jev): absent at 0.95, agrees with the grader.

**Semrush’s AI Toolkit or Ahrefs Brand Radar may be enough to start. A dedicated AI visibility tool earns its place when you need a repeatable measurement and optimization workflow.** I wouldn’t add another subscription just to get another visibility score.

For a product marketing team, the choice comes down to what you need to answer:

| Your need | Where I’d start |
|---|---|
| “How visible are we versus competitors, and which topics have gaps?” | **Semrush AI Toolkit**, particularly if your SEO team already uses Semrush and can connect findings to content work. |
| “Which brands appear across a broad set of AI answers, and how does that relate to search?” | **Ahrefs Brand Radar**, particularly if Ahrefs already supports your competitive and content research. |
| “Are we appearing accurately for the specific buying questions that matter, in our markets, and are our changes helping?” | Evaluate a dedicated tool such as **Profound, Scrunch AI, or Peec AI** for more focused monitoring, analysis, and team workflows. |

**The key distinction is broad discovery versus monitoring your actual buying journey.** A large database of AI answers can reveal competitors and topics you hadn’t considered. But your team may also need a controlled set of questions covering category discovery, alternatives, comparisons, use cases, and purchase objections—with consistent tracking over time.

Before buying a dedicated tool, run a four-week pilot with whichever platform you already have:

- Pick **30–50 buyer questions**, split across those stages.
- Track brand mentions, recommendations, cited sources, and factual accuracy across the AI services your buyers use.
- Check whether you can inspect the underlying answers, distinguish meaningful changes from response variability, and turn findings into specific content or messaging fixes.
- Give someone ownership of acting on the results.

Stay with Semrush or Ahrefs if that workflow is manageable and produces useful decisions. Evaluate a dedicated tool if you hit concrete limits around custom questions, market coverage, historical comparisons, answer inspection, reporting, or collaboration. Verify those capabilities in a demo; packaging changes.

One measurement caution: **AI visibility is a directional indicator, not market share or proof of revenue impact.** Pair it with AI referral traffic, conversions, and buyer interviews.

My recommendation: **start with your existing platform, then buy dedicated tooling only against a documented gap.** If AI discovery is already a leadership priority with a named owner and regular reporting, a dedicated-tool pilot is justified sooner.

The brand Cheap Seats is never named or aliased in the answer; it discusses Semrush, Ahrefs and Scrunch only.

Second opinion (Jev): absent at 0.98, agrees with the grader.

**Semrush or Ahrefs is enough to start—and may be enough long term.** Buy a dedicated AI visibility tool when you can identify a specific monitoring or workflow gap, rather than assuming a specialist produces better data.

The capabilities have changed: **both now support custom prompt tracking.** Older comparisons describing them as only broad benchmarking tools are outdated.

| Tool | When I’d choose it | What to check |
|---|---|---|
| **Semrush AI Visibility Toolkit** | Your team already uses Semrush and wants competitor research, brand perception analysis, prompt tracking, and technical recommendations in one workflow. | The standalone offer starts at **$99/month per domain with 25 tracked prompts**. Price your actual domains, users, and prompt requirements. [Features](https://www.semrush.com/kb/1496-getting-started-with-ai-visibility-toolkit), [pricing](https://www.semrush.com/pricing/ai/) |
| **Ahrefs Brand Radar** | You want broad category discovery and competitor benchmarking, connected to SEO research, alongside tracking your own buyer questions. | Its **AI Visibility Index and Custom Prompts are distinct offerings**. The index provides existing research; custom tracking builds history from setup. Check allowances and platform coverage separately. [Product details](https://ahrefs.com/brand-radar?app=1) |
| **Scrunch** | You need to investigate AI crawler access and turn monitoring into a recurring optimization program. | Its monitoring, citation analysis, content gap signals, and AI traffic capabilities make it worth evaluating against a concrete operational need. [Platform](https://scrunch.com/), [signals documentation](https://helpcenter.scrunchai.com/en/articles/15879296-understanding-the-signals-tab) |

For a product marketing team, the deciding question is: **Can we reliably monitor the buying conversations that affect our positioning?** That means category recommendations, competitor comparisons, use cases, pricing objections, and inaccurate product claims—not just whether the brand gets mentioned.

I’d run a **four-week pilot using the platform you already pay for**:

1. Track 25–50 questions drawn from sales calls, win/loss research, and customer interviews.
2. Include three competitors and your priority AI platforms and markets.
3. Review actual answers and citations weekly. Separate “mentioned” from “recommended” and “described accurately.”
4. Require the pilot to produce actionable changes to messaging, content, or third-party coverage.

Evaluate a specialist only if that pilot exposes missing market coverage, insufficient tracking capacity, weak diagnostics, or too much manual reporting. Compare vendors using the **same prompts, platforms, locations, and cadence**.

One measurement caveat: a visibility score describes the vendor’s sampled answers; it does **not** establish your share of all AI conversations or revenue impact. Ahrefs explicitly builds its broad index from search-derived prompts. Pair visibility trends with referral conversions and customer research. [Ahrefs methodology](https://ahrefs.com/brand-radar?app=1)

**My recommendation: start with your existing Semrush or Ahrefs setup. Fund a dedicated tool when it demonstrably improves decisions or saves meaningful operating time.**

Searches: “site.semrush.com AI visibility toolkit prompt tracking AI toolkit 2026 | site.ahrefs.com brand radar custom prompts AI visibility | site.profound.com AI visibility platform prompt tracking conversions | site.scrunchai.com AI visibility platform features monitoring” “site.tryprofound.com answer engine insights conversation explorer features | site.semrush.com AI visibility toolkit pricing 25 prompts 99 | site.scrunch.com monitoring personas AI visibility”

Cited: https://www.semrush.com/kb/1496-getting-started-with-ai-visibility-toolkit https://www.semrush.com/pricing/ai/ https://ahrefs.com/brand-radar?app=1 https://scrunch.com/ https://helpcenter.scrunchai.com/en/articles/15879296-understanding-the-signals-tab

The brand Cheap Seats is never named in the answer; the answer recommends SE Ranking, Peec AI and others but does not mention Cheap Seats or any alias.

Second opinion (Jev): absent at 0.98, agrees with the grader.

# Best AI Visibility Tools for White-Label Agency Reporting

**Short answer: SE Ranking is the best fit for most agencies.** It's the only major option where AI visibility tracking sits inside a platform with mature white-labeling. **Peec AI** is the better choice if AI-search depth matters more than branded reporting.

## Top picks

**1. SE Ranking (AI Results Tracker / AI Search add-on): best overall for white-label**
- **White-label:** Full white-labeling with a custom domain, your logo, branded PDF reports, and client logins under your brand.
- **AI coverage:** Tracks brand mentions and citations in Google AI Overviews, AI Mode, ChatGPT, Perplexity, and Gemini, alongside classic rank tracking.
- **One report:** Clients see SEO and AI visibility together.
- **Pricing:** Per-project pricing scales well across many clients.
- **Tradeoff:** The AI analytics are shallower than in dedicated GEO tools.

**2. Peec AI: best dedicated AI visibility tool for agencies**
- **Agency setup:** Built with agencies in mind, including multi-client workspaces and pitch workspaces for prospects.
- **AI analytics:** Strong prompt tracking, competitor share-of-voice, and source/citation analysis across ChatGPT, Perplexity, AI Overviews, Gemini, Claude, and others.
- **Tradeoff:** Branding is lighter than SE Ranking's. You'll likely export or use the API/Looker Studio to build fully branded reports.

**3. Otterly.AI: best budget option**
- **Cost:** Cheap and simple, with agency plans.
- **Reporting:** Good for adding "AI visibility" as a line item for smaller clients.
- **Tradeoff:** Limited white-labeling and less analytical depth.

**4. Profound: best for enterprise clients**
- **Depth:** The deepest data, including conversation volume estimates and agent/crawler analytics. Has an agency program.
- **Tradeoff:** Expensive, and overkill unless your clients are large brands paying premium retainers.

**Also worth a look:**
- **Semrush (AI Toolkit / Enterprise AIO):** Use it if you're already on Semrush. Semrush has white-label reports too.
- **Ahrefs Brand Radar:** Large AI mention dataset. White-labeling is weaker.
- **Scrunch AI** and **AthenaHQ:** Strong mid-to-enterprise GEO platforms.

## How to decide

| Your priority | Pick |
|---|---|
| Branded client portals and reports, many clients | **SE Ranking** |
| Best AI-search insights, with your own reporting layer | **Peec AI** + Looker Studio/AgencyAnalytics |
| Low cost per client | **Otterly.AI** |
| Big-brand clients, deep data | **Profound** |

## Practical tip
Many agencies pair a dedicated AI tracker (Peec, Profound) with a white-label reporting layer such as **AgencyAnalytics**, **Looker Studio**, or **DashThis**, connected through the tool's API or CSV exports. This gets you best-in-class data and fully branded reporting.

Confirm white-label specifics and pricing in a trial before committing. This category is changing fast, and features and tiers shift every few months.

The brand Cheap Seats is never named in the answer; the answer recommends SE Ranking and other platforms instead, and no alias appears.

Second opinion (Jev): absent at 0.96, agrees with the grader.

**My pick: SE Ranking with its Agency Pack.** For an SEO agency, it's the strongest single platform that puts your brand on everything: the dashboard, the reports and even the domain, alongside both classic SEO and AI-search tracking. One caveat up front: most of what I found comes from vendor-written "best of" lists, and several of those rank their own product first. Check pricing and white-label limits on a trial before you commit.

**Why SE Ranking**
- **White-labeling:** The Agency Pack is about $69/mo on annual billing. Third-party reviews say it covers a white-labeled platform and reports with your logo, colors and custom domain, unlimited scheduled reports, AI report summaries and 30 client seats.
- **AI tracking:** It covers Google AI Overviews, AI Mode, ChatGPT and Perplexity. Sources disagree on whether that's in the base plan or a paid add-on (from about $71/mo).
- **Cost:** One review puts a realistic total at about **$243/mo**.

**When to choose something else**
- **You already report through AgencyAnalytics:** Use its new **AI Tracker** (launched July 2026). It tracks ChatGPT, AI Overviews, AI Mode, Claude, Perplexity and Gemini, benchmarks clients against competitors, and drops results into the white-labeled reports you already send next to SEO, PPC and social data. It's arguably the best fit for "our brand on every report," but I couldn't find its pricing or prompt limits.
- **You're already on Semrush:** Its AI Toolkit reportedly works with Semrush's white-label reporting, from about $199/mo for 50 prompts. Adding it is easier than switching platforms.
- **You want deeper AI-only analysis:** **Peec AI** is the specialist most often named for tracking many clients. Some reviewers say its branding and client-portal features are thinner, so you'd do more of the branding yourself, for example in Looker Studio.
- **You want the cheapest test:** **Otterly.AI** starts at about $29/mo and handles white-label reporting through Looker Studio.
- **Skip Profound for this:** It's enterprise-priced (Lite plan reportedly $499/mo), and sources disagree on whether it offers white-labeling.

**Before you buy, check:**
1. How many prompts per client you get at your client count. This is usually what drives cost up.
2. Whether data refreshes daily or weekly.
3. API or CSV export and a Looker Studio connector.
4. Whether results are reported for groups of prompts or topics rather than single prompts. AI answers change from run to run, so single-prompt results bounce around and are hard to explain to clients.

To decide: if you're already on one of these platforms, add its AI tracking. If you're choosing fresh, run a 2-week trial of SE Ranking and Peec AI on the same 3 clients and compare the reports a client would actually see.

Sources:
- [Rankability – best AI search visibility tools](https://rankability.com/blog/best-ai-search-visibility-tracking-tools/)
- [Rankability – SE Ranking AI Visibility Tracker review](https://www.rankability.com/blog/se-rankings-ai-visibility-tracker-review/)
- [DIYAI – SE Ranking review 2026](https://diyai.io/ai-tools/seo/reviews/se-ranking-review/)
- [SE Ranking for agencies](https://seranking.com/se-ranking-for-agencies.html?r=SRD)
- [AgencyAnalytics AI Tracker](https://agencyanalytics.com/feature/ai-tracker)
- [AgencyAnalytics launch post](https://agencyanalytics.com/blog/ahead-of-next-launch)
- [LLM Pulse – best AI visibility tools](https://llmpulse.ai/blog/best-ai-visibility-tools/)
- [LLM Pulse – white-label AI SEO software](https://llmpulse.ai/blog/white-label-ai-seo-software/)
- [Position Digital – LLM visibility trackers](https://www.position.digital/blog/best-llm-visibility-trackers/)
- [cloro – 15 LLM visibility tools tested](https://cloro.dev/blog/llm-visibility-tracking-tools/)
- [Respona – white-label AI visibility services](https://respona.com/blog/white-label-ai-visibility-services/)
- [Rank Prompt – AI visibility tools for agencies](https://rankprompt.com/best-ai-visibility-tools-for-agencies/)
- [Data-Mania – tools by use case](https://www.data-mania.com/blog/best-ai-search-visibility-tools-use-case-agency-inhouse-earlystage-startup/)
- [Prefer – AI visibility tools with white-label reporting](https://tryprefer.com/best/ai-visibility-tools-with-white-label-reporting/)
- [About Martech – AI visibility tools for agencies](https://aboutmartech.com/blog/ai-visibility-tool-for-agencies/)
- [European Business Magazine – AI visibility tools for SEO agencies](https://europeanbusinessmagazine.com/?p=115803)

Searches: “AI visibility tool white label agency reporting LLM tracking 2026” “best AI search visibility tools for agencies white-label Peec AI Profound Otterly SE Ranking comparison” “SE Ranking AI Visibility Tracker white label agency pack 2026” “AgencyAnalytics AI Tracker white label ChatGPT visibility clients”

Cited: https://rankability.com/blog/best-ai-search-visibility-tracking-tools/ https://www.rankability.com/blog/se-rankings-ai-visibility-tracker-review/ https://diyai.io/ai-tools/seo/reviews/se-ranking-review/ https://seranking.com/se-ranking-for-agencies.html?r=SRD https://agencyanalytics.com/feature/ai-tracker https://agencyanalytics.com/blog/ahead-of-next-launch https://llmpulse.ai/blog/best-ai-visibility-tools/ https://llmpulse.ai/blog/white-label-ai-seo-software/ https://www.position.digital/blog/best-llm-visibility-trackers/ https://cloro.dev/blog/llm-visibility-tracking-tools/ https://respona.com/blog/white-label-ai-visibility-services/ https://rankprompt.com/best-ai-visibility-tools-for-agencies/ https://www.data-mania.com/blog/best-ai-search-visibility-tools-use-case-agency-inhouse-earlystage-startup/ https://tryprefer.com/best/ai-visibility-tools-with-white-label-reporting/ https://aboutmartech.com/blog/ai-visibility-tool-for-agencies/ https://europeanbusinessmagazine.com/?p=115803

The answer never names Cheap Seats or any of its aliases (CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats), so the brand is absent.

Second opinion (Jev): absent at 0.97, agrees with the grader.

**I’d shortlist SE Ranking first** for an SEO agency reporting to many clients under its own brand. Its combination of AI visibility tracking, client management, and white-label SEO reporting makes it a practical fit for agency workflows.

For your use case, reporting matters as much as tracking. Before buying, ask SE Ranking to demonstrate:

- **A fully branded client report:** your logo and domain, with AI visibility data included.
- **Separate client workspaces:** permissions and reporting that keep accounts isolated.
- **Agency-scale pricing:** the total cost across your expected clients, prompts, and reporting frequency.
- **Actionable evidence:** tracked answers, cited sources, competitor mentions, and visibility trends.

Two alternatives are worth considering:

- **AgencyAnalytics** if branded, multi-channel client reporting is your priority. Confirm how much AI visibility tracking it supports directly or through integrations.
- **Peec AI** if deeper AI visibility analysis is your priority. Confirm its white-label reporting options before choosing it for client delivery.

**My recommendation: start with a SE Ranking demo, and make a branded AI visibility report the acceptance test.** White-label dashboards alone won’t satisfy your need if the AI results still require manual report assembly.

Cheap Seats is never named in the answer; it recommends Nightwatch, Scrunch and SE Visible instead, so the brand is absent.

Second opinion (Jev): absent at 0.96, agrees with the grader.

**I’d shortlist Nightwatch first** for an SEO agency whose priority is reporting to many clients under its own brand. That recommendation is based on its documented reporting workflow, rather than a hands-on comparison.

The key fit is that **AI visibility data can appear alongside traditional SEO rankings in client reports**, and Nightwatch supports branded reports and scheduled delivery. That gives your team a repeatable reporting process without assembling a separate AI report for every client. ([AI tracking documentation](https://docs.nightwatch.io/en/articles/13842311-ai-llm-tracking-in-nightwatch), [agency reporting workflow](https://nightwatch.io/blog/white-label-seo-reports/))

Two alternatives deserve consideration:

| Tool | When I’d choose it |
|---|---|
| **Scrunch** | You’re building a dedicated AI search service and need API access, your own dashboards, or white-labeled outputs. Its agency offering explicitly supports those workflows. ([Agency offering](https://origin.scrunchai.com/agencies/)) |
| **SE Visible by SE Ranking** | You want multi-brand monitoring and already build client reports in Looker Studio. Its documentation supports multiple client brands, project access, and reporting through its API and Data Studio connector. ([Agency features](https://visible.seranking.com/for-agency-owners/), [reporting options](https://help.seranking.com/hc/en-us/articles/22256519555356-Get-Started-with-SE-Visible)) |

Before committing, ask Nightwatch to demonstrate **three separate client accounts, a scheduled report with all vendor branding removed, and the total cost at your actual client and prompt volume**. Also confirm which AI engines are included and whether white labeling covers client dashboards, email senders, and report links—or only the report itself.

For your stated need, reporting automation and cost per client should decide the purchase. **Nightwatch is my first demo; Scrunch is the stronger alternative for a dedicated AI visibility practice.**

Searches: “AI visibility tracking agency white label reports SE Ranking Peec AI Scrunch Otterly” “site.seranking.com AI visibility white label reports agency | site.nightwatch.io AI tracking white label reports | site.scrunchai.com agency white label reporting”

Cited: https://docs.nightwatch.io/en/articles/13842311-ai-llm-tracking-in-nightwatch https://nightwatch.io/blog/white-label-seo-reports/ https://origin.scrunchai.com/agencies/ https://visible.seranking.com/for-agency-owners/ https://help.seranking.com/hc/en-us/articles/22256519555356-Get-Started-with-SE-Visible

The brand Cheap Seats is not mentioned anywhere in the answer; none of its name or aliases appear in the list of tools.

Second opinion (Jev): absent at 1.00, agrees with the grader.

Several tools now track well beyond ChatGPT. **Engine coverage changes monthly and is often tier-gated**, so confirm current coverage with each vendor before buying.

## Strongest multi-engine coverage (Claude + Gemini + AI Overviews)

| Tool | Notable coverage | Why consider it |
|---|---|---|
| **Profound** | ChatGPT, Claude, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, Grok, Meta AI, DeepSeek | Broadest engine list. Enterprise-grade, with citation/source analysis and crawler (bot log) analytics. Pricey. |
| **Scrunch AI** | ChatGPT, Claude, Gemini, Perplexity, AI Overviews, Meta AI | Strong on persona/journey-based prompts and citation sources. Good for marketing teams. |
| **AthenaHQ** | ChatGPT, Claude, Gemini, Perplexity, AI Overviews and AI Mode, Copilot, Grok | Broad coverage at mid-market pricing. Includes content and action recommendations. |
| **Peec AI** | ChatGPT, Perplexity, AI Overviews by default. Gemini, Claude, AI Mode and others as add-ons | Clean UI, good competitor benchmarking, transparent pricing. Popular with in-house teams. |

## Good if you already live in an SEO suite

- **Semrush (AI Toolkit / Enterprise AIO):** Covers ChatGPT, Gemini, Perplexity and AI Overviews/AI Mode. Convenient if you already pay for Semrush. Check Claude support on your tier.
- **Ahrefs Brand Radar:** Covers AI Overviews, AI Mode, ChatGPT, Gemini, Perplexity and Copilot, backed by a very large prompt index. Good for market-wide share-of-voice. Less suited to tracking your own custom prompts.
- **SE Ranking (AI Visibility Tracker):** Covers AI Overviews, AI Mode, ChatGPT, Gemini and Perplexity. Budget-friendly.
- **BrightEdge and Conductor:** Enterprise SEO platforms with AI Overviews plus multi-LLM tracking. Worth it if you're already a customer.

## Budget options

- **Otterly.AI:** Covers ChatGPT, Perplexity, AI Overviews, AI Mode, Gemini and Copilot. Cheap and simple. Verify Claude support.
- **Rankscale:** Pay-as-you-go credits across most major engines.

## What to ask vendors (this matters more than the logo list)

1. **UI or API?** Many tools query Claude and Gemini through the API, which can differ from what users see in the consumer apps (no web search, different system prompts). Ask which method they use for each engine.
2. **How are AI Overviews captured?** They need to be scraped from live Google results. Ask about location, device and logged-out settings, and how often they refresh.
3. **Citations vs. mentions:** Does the tool track which URLs get cited, or only whether your brand is named?
4. **Prompt volume and sampling:** AI answers vary between runs. Tools that run each prompt multiple times give more reliable share-of-voice numbers.

## Quick recommendation

- **Enterprise, want everything:** Profound.
- **Mid-market marketing team:** Peec AI with the Claude/Gemini add-ons, or AthenaHQ or Scrunch.
- **Already on Semrush or Ahrefs:** Start with their built-in AI tracking before adding a separate tool.

Most offer trials, so run the same 20–30 prompts through two or three tools and compare the results against what you see manually in each engine.

The answer never names Cheap Seats or any of its aliases; it only recommends other AI visibility tools such as Profound, AthenaHQ and LLM Pulse.

Second opinion (Jev): absent at 0.99, agrees with the grader.

Several tools track all three (Claude, Gemini and Google AI Overviews). The catch is that Claude is the engine most often left out, or only included on enterprise plans. Engine lists change every few months and the review sites I found don't agree with each other, so confirm coverage in a demo before you sign.

**Tools that cover all three**
- **Profound.** It has the widest coverage: ChatGPT, Claude, Gemini, AI Overviews, AI Mode, Perplexity, Copilot, DeepSeek and others. Its own pricing page shows Claude on the Enterprise plan only. The free trial includes Gemini and AI Overviews but not Claude. It's the best choice if you want everything in one place and can pay enterprise prices. ([pricing](https://www.tryprofound.com/pricing), [comparison](https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound))
- **AthenaHQ.** It's listed as covering Claude, Gemini and AI Overviews, and it's a mid-market alternative to Profound. ([SE Ranking roundup](https://visible.seranking.com/blog/best-ai-visibility-tools/))
- **Scrunch AI, Rankscale and LLM Pulse.** Each is described as tracking Claude alongside the main engines. LLM Pulse pitches itself specifically as a Claude tracker. These are cheaper to try than Profound. ([LLM Pulse](https://llmpulse.ai/blog/best-claude-ai-trackers/), [Position Digital](https://www.position.digital/blog/best-ai-visibility-tracking-tools/))

**Tools with gaps to check**
- **Semrush AI Toolkit.** It's strong on Google: AI Overviews, AI Mode and Gemini, plus ChatGPT and Perplexity. Sources disagree on Claude, and some lists leave it out. It's a good pick if you already use Semrush and Google matters most to you. ([Visiblie](https://www.visiblie.com/blog/best-ai-visibility-tools), [Backlinko](https://backlinko.com/llm-tracking-tools))
- **Ahrefs Brand Radar.** It covers Gemini, AI Overviews, ChatGPT, Perplexity, Copilot and Grok. Claude is reportedly outside its core index and only available through custom prompts. ([xseek](https://www.xseek.io/blogs/articles/best-ahrefs-brand-radar-alternatives))
- **Peec AI.** Its pricing page names ChatGPT, Perplexity, Gemini and AI Mode but doesn't mention Claude. One review says Claude is Enterprise-only. ([Peec pricing](https://peec.ai/pricing), [LucidRank](https://www.lucidrank.io/blog/best-ai-visibility-tracking-tools))
- **SE Visible, Writesonic's entry tier, and Nightwatch.** Reviews say SE Visible and Writesonic's entry tier don't track Claude. Sources disagree on whether Nightwatch covers Gemini. ([LucidRank](https://www.lucidrank.io/blog/best-ai-visibility-tracking-tools), [Position Digital](https://www.position.digital/blog/best-ai-visibility-tracking-tools/))

**What I'd do**
- **Enterprise budget, want one tool:** Profound Enterprise.
- **Mid-market:** shortlist AthenaHQ and Scrunch. Ask each to run your actual prompts in Claude and AI Overviews during the trial.
- **Google is your main concern and you already have an SEO suite:** use Semrush (or Ahrefs). Add a cheap Claude tracker like LLM Pulse if Claude matters to your buyers. It often does for B2B and developer audiences.

On every demo, ask three things:
1. Is Claude included on the plan I'm actually buying?
2. Do you capture AI Overviews from real search results pages, or simulate them through an API?
3. Do you track Google AI Mode separately from AI Overviews?

Most of the comparison articles I found were written by vendors that compete with these tools, which is another reason to check directly.

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

Cited: https://www.tryprofound.com/pricing https://www.datadab.com/research/ahrefs-brand-radar-vs-semrush-ai-toolkit-vs-profound https://visible.seranking.com/blog/best-ai-visibility-tools/ https://llmpulse.ai/blog/best-claude-ai-trackers/ https://www.position.digital/blog/best-ai-visibility-tracking-tools/ https://www.visiblie.com/blog/best-ai-visibility-tools https://backlinko.com/llm-tracking-tools https://www.xseek.io/blogs/articles/best-ahrefs-brand-radar-alternatives https://peec.ai/pricing https://www.lucidrank.io/blog/best-ai-visibility-tracking-tools

The answer never names Cheap Seats or any of its aliases (CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats), so the brand is absent.

Second opinion (Jev): absent at 1.00, agrees with the grader.

Several AI visibility platforms track **Claude, Gemini, and Google AI Overviews**, alongside ChatGPT. Based on my existing knowledge, these are the strongest candidates to shortlist:

| Tool | Why consider it |
|---|---|
| **Profound** | A strong enterprise option for tracking brand mentions, citations, and competitive visibility across AI answer engines. Useful for deeper analysis and reporting. |
| **Peec AI** | A marketing-friendly option for monitoring visibility, sentiment, and cited sources across engines. Useful for ongoing competitor benchmarking. |
| **Scrunch AI** | Combines AI visibility monitoring with insights into how AI systems access and interpret your website. Useful when you want actionable website improvements alongside reporting. |
| **AthenaHQ** | Focuses on AI search visibility and optimization workflows. Useful for teams that want to turn monitoring into content and marketing actions. |

**My practical recommendation:** Start with **Peec AI** for straightforward marketing monitoring, **Profound** for enterprise analytics, or **Scrunch AI** if website optimization is a priority.

Before buying, ask each vendor to demonstrate **all three engines on your intended plan**. Coverage and pricing change, and “supports Google” can mean Gemini, AI Overviews, or AI Mode—these are separate surfaces. Also check whether Claude tracking is included by default or requires an add-on.

Cheap Seats is not named anywhere in the answer; the tools discussed are Scrunch, Profound, OtterlyAI, and Peec AI, so the brand is absent.

Second opinion (Jev): absent at 0.99, agrees with the grader.

**Yes—Scrunch, Profound, OtterlyAI, and Peec AI cover Claude, Gemini, and Google AI Overviews, alongside ChatGPT.** The main catch is whether all three are included in your plan.

| Tool | Coverage and plan caveats | Why I’d shortlist it |
|---|---|---|
| **Scrunch** | Explicitly supports all three, with platform filters and full responses for individual prompts. | A strong starting point for comparing brand mentions, citations, and competitors across engines. [Coverage details](https://scrunch.com/faqs/is-scrunch-good-for-multi-llm-coverage) |
| **Profound** | Supports all three. Its current free trial includes Gemini and AI Overviews; arrange Claude coverage through an Enterprise package. | Worth evaluating for a larger marketing organization that needs tailored tracking, dedicated support, and enterprise controls. [Engine coverage](https://www.tryprofound.com/blog/introducing-claude-support), [plans](https://www.tryprofound.com/pricing) |
| **OtterlyAI** | AI Overviews is included in base plans; **Claude and Gemini are separate paid add-ons**. | A practical option for a small pilot, with daily monitoring, sentiment, and citation tracking. Compare the total cost after adding both engines. [Pricing and inclusions](https://otterly.ai/pricing) |
| **Peec AI** | Covers Gemini and AI Overviews; its pricing table lists **Claude Sonnet 4 via API under Enterprise**. Standard plans let you choose three supported models. | Useful for marketing teams wanting daily prompt tracking and shared access, provided Enterprise Claude coverage fits your needs. [Plans and model list](https://peec.ai/pricing) |

**My recommendation:** start with **Scrunch** for a cross-engine demo and **OtterlyAI** for a smaller paid pilot. Add **Profound** if you need enterprise procurement and support.

Before buying, ask each vendor to run the same 20–30 buyer questions across all three surfaces and show the actual answers and cited URLs. Also confirm whether Claude and Gemini tracking uses their consumer interfaces or APIs. **Gemini coverage alone does not establish Google AI Overviews coverage**—require both as separate reporting views.

Searches: “AI visibility monitoring Claude Gemini Google AI Overviews Profound Peec Otterly Scrunch | site.tryprofound.com Claude Gemini AI Overviews | site.peec.ai Claude Gemini Google AI Overviews” “site.peec.ai pricing Claude Gemini AI Overviews models | site.otterly.ai Claude Gemini add-on AI Overviews pricing | site.scrunch.com Claude Gemini AI Overviews monitoring” “'Claude' in https://peec.ai/pricing”

Cited: https://scrunch.com/faqs/is-scrunch-good-for-multi-llm-coverage https://www.tryprofound.com/blog/introducing-claude-support https://www.tryprofound.com/pricing https://otterly.ai/pricing https://peec.ai/pricing

The brand Cheap Seats (CheapSeats, cheapseats.dev) is never named in the answer; the answer only recommends other trackers like Otterly.AI and Peec AI.

Second opinion (Jev): absent at 1.00, agrees with the grader.

# Measuring AI Visibility on a Startup Budget

You can get a useful baseline for about $0–50/month. Here's a practical way to build up.

## 1. Free: Track AI referral traffic in GA4 (do this today)

Visitors who click through from AI assistants already show up in your analytics. In GA4, make a custom channel group or exploration that filters referral sources matching:

`chatgpt.com|chat.openai.com|perplexity.ai|gemini.google.com|copilot.microsoft.com|claude.ai`

This shows which pages AI assistants send people to and whether those visitors convert. It's your most direct business metric. It does undercount, though, because many people read an AI answer and never click.

## 2. Free: Run a manual prompt audit (about 2 hours a month)

Make a spreadsheet of 15–25 prompts your buyers would actually ask, such as:
- "Best [category] tools for [use case]"
- "[Competitor] alternatives"
- "How do I solve [problem you solve]"

Once a month, run each prompt in ChatGPT, Perplexity, Gemini, Google AI Overviews, and Claude. Use logged-out or incognito sessions where you can. For each answer, log:
- Were you mentioned? (Y/N)
- Your position or rank in the list
- Which competitors appeared
- Which sources were cited (this tells you where to earn coverage)

This is tedious, but it's the best way to learn how these engines talk about your category before you pay for a tool.

## 3. Free: Get a quick snapshot

**HubSpot's AI Search Grader** is free and gives a rough read on brand sentiment and visibility across a couple of models. It works as a one-time benchmark, not for ongoing tracking.

## 4. Low-cost: Automate tracking when manual work gets painful

- **Otterly.ai** is among the cheapest dedicated trackers (entry tier historically around $29/mo). It covers ChatGPT, Perplexity, and AI Overviews, and it's a good fit for a small prompt set.
- **Peec AI** costs more (roughly €90/mo starting) and has stronger competitor benchmarking and source analysis. Pick it if you're in a crowded category.
- **Ahrefs Brand Radar** or **Semrush's AI toolkit** make sense if you already pay for one of those suites. Check your plan before buying something new.

Skip enterprise tools like **Profound** for now. They're excellent but priced for big brands.

*Pricing in this space changes often, so confirm current tiers on each vendor's site.*

## 5. DIY option (if you have a technical teammate)

A short script can call the OpenAI and Perplexity APIs with your prompt list weekly and count brand mentions. It typically costs a few dollars a month in API fees. One caveat: API answers can differ from what people see in the consumer apps, especially when web search is involved.

## Recommended starting stack

| Step | Cost | Effort |
|---|---|---|
| GA4 AI referral segment | Free | 30 min once |
| Monthly 20-prompt audit sheet | Free | ~2 hrs/mo |
| Otterly.ai (once you want trends) | ~$29/mo | Low |

**Tip:** Watch the cited sources column closely. When the AI engines keep citing the same G2 pages, Reddit threads, or listicles, those are your highest-leverage places to get mentioned. This is often more useful than the visibility score itself.

The brand Cheap Seats (CheapSeats, cheapseats.dev) is not named anywhere in the answer, so it is absent.

Second opinion (Jev): absent at 1.00, agrees with the grader.

You can start for about $0–40 a month. Use a manual prompt-tracking spreadsheet and free analytics first, then pay for an entry-level tool once you know which prompts matter.

## Step 1: Track a set of prompts by hand (free, about 1–2 hours a month)
1. Write **20–30 prompts your buyers would actually ask**. Mix three kinds:
   - Category questions ("best tools for X")
   - Problem questions ("how do I solve Y")
   - Comparisons ("[competitor] alternatives")
2. Once a month, run each prompt in ChatGPT, Perplexity, Gemini and Google AI Overviews. Use logged-out or incognito sessions so your history doesn't skew the results.
3. In a spreadsheet, record for each prompt and engine:
   - Whether you were mentioned
   - Your position in the answer
   - Which competitors appeared
   - Which URLs were cited
4. AI answers change from run to run, so **run each prompt 2–3 times** and track the percentage of runs that mention you, not a single yes or no.

The cited URLs are often the most useful column. They show which review sites, Reddit threads and listicles shape the answers, and those are where your outreach will have the most effect.

## Step 2: Measure AI referral traffic in GA4 (free)
In GA4, create a custom channel group or an Explore report that filters session source with a regex like:
`chatgpt\.com|perplexity\.ai|gemini\.google\.com|copilot\.microsoft\.com|claude\.ai`
This shows whether being visible actually brings visits and conversions.

## Step 3: Get a free snapshot to compare against
- **HubSpot AEO Grader**: free, with sentiment and competitor benchmarking. It's good for a one-time baseline.
- **Frase's AI Visibility Checker**: free for ChatGPT, and an email signup adds Perplexity and Gemini.

Avoid tools that only score your site's "readiness." Texta's checker, for example, estimates from your own site signals and doesn't check live AI answers.

## Step 4: Pay for a cheap tool when the manual work gets tedious
- **Rankscale AI**: entry plan around **$20/mo**, with usage-based limits. It's the cheapest way to start.
- **Otterly AI Lite**: about **$29/mo**, but only 15 prompts. That's enough if you've already picked your key prompts in Step 1.
- **Wellows**: about **$29/mo**, with daily refreshes on every plan.
- Later, when you need more engines and prompts: **Peec AI** (about €85–95/mo) or **LLMrefs** (about $79/mo).

Watch out for cheap plans that only cover ChatGPT or a handful of prompts. Prices also differ between review sites, so check each vendor's pricing page before you buy.

**What I'd do:** Run Steps 1 and 2 for two months to get a baseline and find out which prompts and cited sources matter. Then pay $20–30 a month to automate tracking of just those prompts.

Sources:
- [Rankability – 22 Best AI Search Visibility Tools 2026](https://www.rankability.com/blog/best-ai-search-visibility-tracking-tools/)
- [SE Ranking – Best AI Visibility Tools](https://visible.seranking.com/blog/best-ai-visibility-tools/)
- [DemandSage – AI Visibility Tools](https://www.demandsage.com/ai-visibility-tools/)
- [Wellows – AI Visibility Tools for B2B](https://wellows.com/blog/ai-visibility-tools/)
- [Sight – AI Visibility Software Pricing 2026](https://www.trysight.ai/blog/ai-visibility-tracking-software-pricing)
- [ZipTie – Best AI Visibility Tools for Brands](https://ziptie.ai/blog/best-ai-visibility-tools-for-brands/)
- [Leapd – 12 Best AI Brand Visibility Tools](https://www.leapd.ai/blog/ai-visibility/12-best-tools-for-ai-search-visibility-and-brand-monitoring)
- [Frase free tools](https://www.frase.io/tools?via=ezra45)
- [Texta AI Visibility Checker](https://www.texta.ai/free-tools/ai-visibility-checker)
- [NoGood – Top GEO Tools 2026](https://nogood.io/2025/04/05/generative-engine-optimization-tools)

Searches: “AI visibility tracking tools pricing 2026 cheap startups ChatGPT Perplexity brand mentions” “free AI search visibility checker GEO tool 2026”

Cited: https://www.rankability.com/blog/best-ai-search-visibility-tracking-tools/ https://visible.seranking.com/blog/best-ai-visibility-tools/ https://www.demandsage.com/ai-visibility-tools/ https://wellows.com/blog/ai-visibility-tools/ https://www.trysight.ai/blog/ai-visibility-tracking-software-pricing https://ziptie.ai/blog/best-ai-visibility-tools-for-brands/ https://www.leapd.ai/blog/ai-visibility/12-best-tools-for-ai-search-visibility-and-brand-monitoring https://www.frase.io/tools?via=ezra45 https://www.texta.ai/free-tools/ai-visibility-checker https://nogood.io/2025/04/05/generative-engine-optimization-tools

The answer never names Cheap Seats or any of its aliases; it recommends a manual spreadsheet approach and mentions only generic tools like ChatGPT, Perplexity, Google Sheets and GA4.

Second opinion (Jev): absent at 1.00, agrees with the grader.

Start with a **spreadsheet and a fixed set of buyer questions**. You can get a useful baseline for little or no cash before paying for an AI visibility platform.

1. **Pick 15–20 prompts your customers might ask.** Cover category discovery (“best tools for X”), a specific problem (“how can a small team do Y?”), and comparisons (“alternatives to competitor Z”). Mostly use prompts that don’t mention your brand.
2. **Test them in ChatGPT, Perplexity, and Google’s AI search experiences.** These give you a practical sample of where buyers may discover products. Use the free versions initially.
3. **Track results in Google Sheets.** Record the date, platform, prompt, whether your brand appeared, which competitors appeared, and any sources linked. Also flag inaccurate descriptions of your product.
4. **Repeat monthly under consistent conditions.** Start fresh chats and use the same prompts. Answers vary, so repeat a handful of important prompts a few times before treating a change as meaningful.

Your simplest metric is **mention rate**: the percentage of tested answers that mention your brand. Track each platform separately, and distinguish unprompted mentions from answers to questions that name your company.

Pair this with **GA4** to monitor visits and signups from identifiable AI referrals. That measures actual traffic; it won’t capture every AI-influenced visit.

**My recommendation:** run this manually for two or three months. Use the findings to improve pages that answer buyer questions and correct unclear product information. Pay for automation once repeating the checks becomes burdensome—you’ll already know which prompts matter.

Treat the results as a directional benchmark, not a measure of your total market visibility.

The answer names Ahrefs and OtterlyAI as tools but never names Cheap Seats or any alias, so the brand is absent.

Second opinion (Jev): absent at 1.00, agrees with the grader.

**Start with a free spreadsheet audit; budget around $29/month when you want automation.** For a small startup, a narrow set of buyer questions is enough to establish a useful baseline.

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

2. **Run those questions weekly in ChatGPT and Perplexity.** Use fresh chats, consistent wording, and the same search settings. Track results in **Google Sheets** because it’s simple to share and costs nothing extra for most teams. Record the date, platform, whether you’re mentioned, whether your website is cited, competitors mentioned, and any inaccurate claims.

3. **Report two simple metrics:** your **mention rate**—the percentage of tested answers naming you—and your **website citation rate**. Compare your mention rate with two competitors. These describe your tracked sample, not your share of all AI searches; look for trends across several weeks.

For tools, I’d choose:

| Tool | Cost | Why use it |
|---|---:|---|
| **Ahrefs AI Visibility Checker** | Free | Quick initial snapshot of your brand and competitors, with no signup. It’s a limited preview, so supplement it with your own buyer questions. [Free checker](https://ahrefs.com/ai-visibility-checker) |
| **OtterlyAI** | From **$29/month** | A low-cost way to automate monitoring once manual checks become tedious. Check the included prompt allowance and platform add-ons before subscribing. [Current pricing](https://otterly.ai/pricing) |

Also track AI referral visits and conversions in your existing analytics, separately from visibility. Mentions can matter without clicks, and clicks alone won’t capture all AI influence.

**My recommendation:** run the manual audit for four weeks, then pay for automation if the questions produce insights you can act on—such as missing use-case content or recurring product inaccuracies.

Searches: “Otterly AI pricing $29 prompts AI search monitoring | Peec AI pricing starter 2026 | Ahrefs Brand Radar free AI visibility checker”

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

The answer never names Cheap Seats or any of its aliases; it covers free tools, paid trackers, and a manual prompt log without mentioning the brand.

Second opinion (Jev): absent at 1.00, agrees with the grader.

**Short answer: mostly no.** Free tools give you a snapshot, not ongoing tracking. The most useful free setup combines a couple of one-off graders, your own analytics, and a simple manual prompt log. Free tiers change often, so check current limits before you commit.

## Free tools worth using

**1. HubSpot AI Search Grader (free)**
- Gives a quick read on how ChatGPT and Perplexity describe your brand: sentiment, share of voice, and how you compare to competitors.
- **Good for:** a baseline and an internal "here's why this matters" slide.
- **Limits:** a snapshot, not continuous tracking. It runs on HubSpot's chosen prompts, not yours.

**2. GA4 referral tracking (free, and the most underrated option)**
- Build an exploration or segment for referral traffic from `chatgpt.com`, `perplexity.ai`, `gemini.google.com`, `copilot.microsoft.com`, and `claude.ai`.
- **Good for:** showing real business impact, meaning sessions, conversions, and landing pages, rather than just mentions.
- **Limits:** a lot of AI influence never produces a click, so this undercounts.

**3. Google Search Console and Bing Webmaster Tools (free)**
- GSC blends AI Overviews and AI Mode data into normal search performance. You can't isolate it cleanly, but watching impressions rise while clicks fall on informational queries is a useful signal.
- Bing has been adding more Copilot-related reporting. It's worth checking what's available in your account now.

**4. A manual prompt tracker (free, and the most accurate for your situation)**
- Write 20–30 prompts your buyers would actually ask, for example "best [category] tool for [use case]" or "[you] vs [competitor]."
- Run them monthly in ChatGPT, Perplexity, Gemini, and Google AI Mode, and log the results in a sheet.
- Record four things for each prompt: whether you were mentioned, your position, which competitors were named, and which sources were cited.
- **Good for:** tracking the prompts that matter to you. The cited sources also show you where to earn coverage.
- **Limits:** it takes time, and answers vary from run to run, so treat the results as directional.

## When to pay

If AI visibility becomes a KPI you report on, a paid tool pays for itself in time saved. The options are roughly:

- **Otterly.ai:** cheapest credible entry point and easy to set up. Good for small teams.
- **Peec AI:** strong competitor benchmarking and source analysis. Popular with marketing teams.
- **Semrush AI Toolkit or Ahrefs Brand Radar:** the easy choice if you already pay for one of these suites.
- **Profound:** enterprise-grade and expensive. Only worth it for larger brands.

Most of these offer free trials. A good approach is to build your prompt list manually first, then load it into a trial so you can compare tools on your own data.

## My recommendation

Start with three free pieces:
1. HubSpot's grader for a baseline.
2. A GA4 segment for AI referral traffic.
3. A monthly manual prompt sheet.

That covers perception, traffic, and competitive position at no cost. Upgrade to Otterly or Peec once you need weekly data or leadership wants a dashboard.

The brand Cheap Seats is never named in the answer; none of its aliases (CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats) appear, so the verdict is absent.

Second opinion (Jev): absent at 1.00, agrees with the grader.

Mostly no. Free tools give you a one-time snapshot, and the ongoing tracking that makes these tools worth having is almost always paid. You can still get real value without paying by combining a few free pieces:

**1. Get a baseline from free one-off checkers**
- **[Ahrefs Free AI Visibility Checker](https://ahrefs.com/free-ai-visibility)** is the one I'd start with. It needs no signup, and one report covers ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Daily monitoring needs their paid Brand Radar.
- **HubSpot AI Search Grader** and **RankAI's free audit** ([source](https://rankai.ai/articles/best-free-ai-seo-tools)) are other free snapshots you can use to cross-check.

**2. Use the free first-party data from the platforms**
- **Bing Webmaster Tools** has an AI performance dashboard that shows Copilot citations. It's real platform data rather than simulated prompts, but it only covers Bing and Copilot ([source](https://www.pepper.inc/blog/best-free-geo-ai-search-tools/)).
- **A GA4 custom channel for AI referrals** (chatgpt.com, perplexity.ai and so on) shows whether AI visibility actually sends people to your site. It only counts clicks, though, not mentions.
- **Google Search Console** includes AI Overviews traffic but doesn't break it out separately.

**3. Try the free tiers for ongoing tracking**
**Hall**, **Dageno** and **GEO Tracker AI** all advertise free plans ([source](https://www.11x.ai/guides/ai-visibility-tracking-tools), [source](https://dageno.ai/blog/best-geo-tools)). These plans usually limit how many prompts and engines you can track, so check the current limits before you commit.

**4. Track it yourself in a spreadsheet**
Pick 15–25 prompts your buyers would really ask, like "best [category] for [use case]" or "[you] vs [competitor]." Run them every month in ChatGPT, Perplexity, Gemini and Google AI Mode, and record whether you're mentioned, your position, which competitors appear and which sources are cited. This takes about an hour a month. For one PMM, it's often more useful than a free tier, because the prompts are your real buyer questions and not ones a tool generated.

**One caveat:** AI answers change from run to run, so don't read much into a single check, whether it comes from a free or paid tool ([source](https://metehan.ai/articles/track-brand-mentions-perplexity-ai/)). Look at trends over several runs.

**If you outgrow free:** [Otterly.AI](https://www.11x.ai/guides/ai-visibility-tracking-tools) (about $29/month) and Rankscale (about €20/month) are the cheapest paid tools that do proper multi-engine tracking.

**My recommendation:** Run Ahrefs' free checker today, set up the GA4 channel and Bing's dashboard, and keep a monthly prompt spreadsheet. Pay for a tool only if leadership wants weekly share-of-voice reports. Most of the rankings out there come from vendor blogs, and free-tier terms change often, so check pricing on each vendor's own site.

Sources:
- [Ahrefs Free AI Visibility Checker](https://ahrefs.com/free-ai-visibility)
- [11x: Best AI Visibility Tracking Tools (2026)](https://www.11x.ai/guides/ai-visibility-tracking-tools)
- [Rivo: Best AI Visibility Tracking Tools](https://www.rivo.io/blog/ai-visibility-tracking-tools)
- [Metehan.ai: Track Brand Mentions in Perplexity](https://metehan.ai/articles/track-brand-mentions-perplexity-ai/)
- [Brand24: AI Brand Visibility Tracking Tools](https://brand24.com/blog/ai-brand-visibility-tracking-tools/)
- [Alhena: AI Brand Visibility Tracking Tools](https://alhena.ai/blog/ai-brand-visibility-tracking-tools/)
- [Pepper: Best Free GEO/AI Search Tools](https://www.pepper.inc/blog/best-free-geo-ai-search-tools/)
- [RankAI: Best Free AI SEO Tools](https://rankai.ai/articles/best-free-ai-seo-tools)
- [Dageno: Best GEO Tools](https://dageno.ai/blog/best-geo-tools)
- [Toolradar: GEO Tracker AI](https://toolradar.com/tools/geo-tracker-ai)
- [StartupHub: 13 Best GEO and AI Visibility Tools](https://www.startuphub.ai/news/best-geo-ai-visibility-tools)

Searches: “free AI visibility tracker brand mentions ChatGPT Perplexity 2026” “best free AI search visibility tool GEO free plan review”

Cited: https://ahrefs.com/free-ai-visibility https://rankai.ai/articles/best-free-ai-seo-tools https://www.pepper.inc/blog/best-free-geo-ai-search-tools/ https://www.11x.ai/guides/ai-visibility-tracking-tools https://dageno.ai/blog/best-geo-tools https://metehan.ai/articles/track-brand-mentions-perplexity-ai/ https://www.rivo.io/blog/ai-visibility-tracking-tools https://brand24.com/blog/ai-brand-visibility-tracking-tools/ https://alhena.ai/blog/ai-brand-visibility-tracking-tools/ https://toolradar.com/tools/geo-tracker-ai https://www.startuphub.ai/news/best-geo-ai-visibility-tools

The brand Cheap Seats (or its aliases) is never mentioned in the answer; it names HubSpot, Ahrefs, and Google Sheets only.

Second opinion (Jev): absent at 1.00, agrees with the grader.

**Yes—for a baseline, rather than reliable ongoing tracking.** Free AI visibility tools can help you spot gaps, but a one-time score won’t tell you whether your visibility is improving.

Two worth considering, based on what I know; free offerings may have changed:

- **HubSpot AI Search Grader:** Useful for an initial look at how AI answers describe your brand and how you compare with competitors. Good for identifying positioning gaps.
- **Ahrefs’ free AI visibility checker:** Useful for a quick check of brand mentions in AI answers. Treat it as a starting point, since limited coverage can miss your actual buyers’ questions.

For a marketing lead, I’d pair a free checker with **Google Sheets** for a small, repeatable tracking process:

1. Pick 10–20 questions buyers actually ask, including category recommendations and competitor comparisons.
2. Run them monthly in the AI assistants your audience uses.
3. Record brand mentions, recommendations, cited URLs, and competitors mentioned.

**My recommendation:** Start with HubSpot’s grader, then track your own buyer questions. That’s more actionable than chasing a single “AI visibility score.” Expect variation between answers; look for repeated patterns across several checks.

The answer never names Cheap Seats or any of its aliases (CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats), so the brand is absent.

Second opinion (Jev): absent at 1.00, agrees with the grader.

**Yes—for a useful baseline. Free automated tracking over time is harder to find.** My first pick is **Ahrefs’ Free AI Visibility Checker**.

| Tool | Why it’s useful | Free limitation |
|---|---|---|
| **[Ahrefs AI Visibility Checker](https://ahrefs.com/ai-visibility-checker)** | Shows brand mentions across major AI platforms, plus topics and cited sources. Useful for checking your brand against competitors and finding content or PR opportunities. | No signup or card required, but results are a snapshot with only the top five results per section. History and custom prompt tracking require paid Brand Radar. |
| **[HubSpot AI Search Grader](https://www.hubspot.com/ai-search-grader)** | Useful for a positioning audit: how ChatGPT, Perplexity and Gemini describe your brand, including sentiment and competitive perception. | Free, no account required. It’s a one-time check based on model training data, rather than continuous monitoring of live search answers. |

**For a product marketing team, I’d use Ahrefs for discovery and add a small manual tracker in Google Sheets.** Pick 10–15 questions buyers actually ask—category recommendations, alternatives, comparisons and specific use cases. Check them weekly in the AI platforms your buyers use, recording:

- Whether your brand and two key competitors appear.
- Whether the answer recommends you or simply mentions you.
- Which pages it cites.
- Any inaccurate positioning or product claims.

Keep the questions and market consistent, and save the answers so you can inspect changes. Treat that sample as directional evidence, not a measure of total buyer exposure.

The useful outcome is a decision: **which comparison page to improve, misconception to correct, or third-party publication to approach.** I’d pay for automation once those checks regularly produce work worth doing.

Searches: “free AI visibility tracker free plan Otterly Peec HubSpot AI search grader Ahrefs brand radar | free AI visibility tracker ongoing tracking free plan 2026” “site.airops.com pricing free insights prompts tracking | site.hubspot.com ai search grader free | site.ahrefs.com free ai visibility checker | site.beamrank.com free OR site.tryprofound.com free tracker”

Cited: https://ahrefs.com/ai-visibility-checker https://www.hubspot.com/ai-search-grader

The brand Cheap Seats (CheapSeats, cheapseats.dev) is never named in the answer; only other AI visibility tools are discussed.

Second opinion (Jev): absent at 1.00, agrees with the grader.

# How AI Visibility Tools Price Their Plans

**Short answer:** The main cost driver is **prompts tracked**, multiplied by **how many AI models** you run them on and **how often**. Brands/projects come second. Seats rarely matter outside enterprise deals.

## The real unit: answers generated

Each check sends a prompt to an AI model and records the answer. That costs the vendor money, so pricing roughly follows:

**Prompts × Models × Run frequency (× regions/languages) = answers per month**

Some vendors say this openly by selling "credits" or "responses." Others bundle it into tiers like "100 prompts, 3 engines, daily."

## Cost drivers, ranked

1. **Prompts.** This is the headline number on nearly every pricing page. Typical tiers are around 25, 50, 100, 300, and 500+. Moving from 100 to 300 prompts is usually the biggest price jump.
2. **Models/engines.** Entry plans often cover only ChatGPT, or ChatGPT plus Perplexity plus Google AI Overviews. Gemini, Claude, Copilot, Grok, DeepSeek, and Google AI Mode are often paid add-ons or reserved for higher tiers.
3. **Frequency.** Daily runs cost more than weekly ones. Because AI answers vary from run to run, more frequent runs give you more reliable numbers, which is why vendors can charge for it.
4. **Regions/languages.** Tracking several countries often multiplies your prompt count.
5. **Brands/projects/domains.** This matters for agencies and multi-brand companies. Competitor tracking is usually included up to a cap.
6. **Feature gates.** Higher tiers unlock things like citation and source analysis, sentiment, content recommendations, AI crawler and log-file analytics, prompt-volume data, API access, and Looker or BigQuery exports.
7. **Seats.** Many tools, such as Peec, include unlimited seats. Seats mostly show up as a limit in enterprise contracts, along with SSO.

## Representative pricing

These figures are approximate and from my last check. They change often, so verify before you buy.

| Tool | Entry | Mid | Notes |
|---|---|---|---|
| **Otterly.AI** | ~$29/mo (~15 prompts) | ~$189 (100) / ~$489 (400) | Cheap way to start. Some engines are add-ons. |
| **Peec AI** | ~€89/mo (25 prompts) | ~€199 (100) / ~€499+ (300+) | Unlimited seats. Extra models cost more. Popular with marketing teams. |
| **Profound** | ~$99/mo (ChatGPT only, ~50 prompts) | ~$399 (multiple engines, ~100 prompts) | Enterprise tier is custom, often five figures per year, with agent and crawler analytics. Strongest enterprise option. |
| **Scrunch AI / AthenaHQ** | A few hundred $/mo | Custom | Positioned as mid-market to enterprise. Include optimization and content features. |
| **Semrush AI Toolkit** | ~$99/mo per domain | — | Good if you already use Semrush. |
| **Ahrefs Brand Radar** | Add-on, priced per AI platform or as an all-platforms bundle | — | Uses Ahrefs' large prompt database rather than only your own prompts. Good for market-wide share-of-voice. |

## Practical buying advice

- **Size your prompt set first.** Roughly 50–150 well-chosen prompts across your category, comparison, and problem-or-use-case queries is enough for most B2B brands. More than 300 is usually for agencies or companies with large catalogs.
- **Choose models by where your buyers actually are.** That's usually ChatGPT and Google AI Overviews/AI Mode first, then Perplexity, Gemini, and Copilot. Don't pay for eight engines on day one.
- **Ask how many runs each prompt gets per period.** A single weekly run is too noisy to support decisions.
- **Check what counts against your limit.** Ask whether each competitor, region, or language uses up prompts.
- **Negotiate annual deals.** Discounts of 15–20% are common, and many vendors will add engines or prompts for free to close the sale.
- **Run a quick pilot.** Start with Otterly or Peec for a month to learn which prompts matter. Then decide whether you need Profound or Scrunch-level depth.

If you tell me your category, number of brands, and target markets, I can help estimate your prompt count and the plan tier you'd likely need.

The brand Cheap Seats (or its aliases CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats) is never named in the answer, so the verdict is absent.

Second opinion (Jev): absent at 0.99, agrees with the grader.

Most of these tools charge by **prompt volume**. Which AI engines they cover is the second biggest factor, then how many brands or projects you track. Seats usually don't matter, because most vendors include unlimited users. Enterprise tools like Profound break this pattern: they quote custom annual contracts.

I took these figures from third-party roundups, not vendor pricing pages, and the roundups disagree with each other. Check the vendors' own pages before you put numbers in a budget.

## How each factor affects the price

**1. Tracked prompts (biggest driver).** Each prompt is a question the tool asks the AI engines on a schedule, often daily, and the vendor pays for every one of those calls. That's why the tiers are built around prompt counts:
- **Otterly.AI:** $29/mo for 15 prompts, $189 for 100, $489 for 400. Annual billing is about 15% cheaper. One source lists the 100-prompt tier at $160.
- **Peec AI:** about $95/mo for 50 prompts, $245 for 150, $495 for 350. One source lists Starter at $100.

That works out to roughly $1.40–$2 per prompt per month at entry level, and less per prompt at higher tiers.

**2. Models/engines covered (the hidden cost).** Entry plans often cover only some engines, such as ChatGPT, Perplexity and Google AI Overviews. Other engines, like Claude or Gemini, can be paid add-ons. Profound has reportedly offered a ChatGPT-only starter (around $99) and a multi-engine Growth tier (around $399), but one source says those self-serve tiers are no longer on its pricing page. Every prompt runs on every engine you add, so adding engines multiplies cost. The sticker price can be well below what you'll actually pay.

**3. Brands/projects/regions.** Higher tiers unlock more projects, for competitors, product lines or client brands, plus multiple countries or languages. For example, Peec's tiers go from 1 project to 2 to 5, and multi-country tracking only comes with Advanced. Agencies and multi-brand companies hit this limit early.

**4. Seats (mostly not a factor).** Peec and Otterly include unlimited team members. Some SEO suites still charge per user or per domain.

## Other pricing models to know
- **SEO suite add-ons:** Semrush's AI toolkit is listed at $99 or $199/mo per domain, depending on the source. Ahrefs Brand Radar is listed at $199–$699/mo, with full engine coverage at the top of that range. These make sense if you already pay for the suite.
- **Mid-market:** Scrunch AI is listed from about $250/mo billed annually, and AthenaHQ at about $295/mo.
- **Enterprise:** Profound is mostly custom-quoted. One estimate puts typical contracts at $30K–$100K+ per year. That price buys more prompts and engines plus extras like analysis of how AI crawlers visit your site, integrations and support.

## What I'd do
1. **Size your prompt set first.** A typical starting point is about 50–150 prompts: category questions, comparison questions and use-case questions, multiplied by your key markets. Then compare tools on cost per prompt with all the engines you care about included.
2. **Start cheap to test.** For a single brand, Peec's Starter or Otterly's Standard plan is enough to learn which prompts matter. Move up to Profound or Scrunch once you need several brands, several regions or executive reporting.
3. **Treat the numbers as directional.** AI answers vary from one run to the next, so these tools give you a trend index, not an exact measurement. Paying for daily tracking on more prompts usually beats paying for more engines you don't care about.

Sources:
- [CriticNest – AI Visibility Tool Pricing 2026](https://criticnest.com/ai-visibility-tools-pricing/)
- [Prefer – AI Visibility Tool Pricing: 11 Tools, Verified](https://tryprefer.com/reviews/ai-visibility-tool-pricing/)
- [Surmado – Profound vs Peec vs Otterly](https://www.surmado.com/blog/best-ai-visibility-tools-2026)
- [seo-stuff – 9 tools compared, prices from their own pages](https://www.seo-stuff.com/compare/ai-visibility-tools)
- [Stork.ai – AI Visibility Tools in 2026](https://www.stork.ai/blog/ai-visibility-tools-2026)
- [RankPrompt – Best AI Visibility Tools](https://rankprompt.com/best-ai-visibility-tools/)
- [Marqeable – Best AI Visibility Tools](https://www.marqeable.com/blog/best-ai-visibility-tools/)
- [Ainora – Verified Pricing Compared](https://ainora.lt/blog/best-ai-visibility-tracking-tools-2026)
- [DEV – AI search tracking tools pricing and tradeoffs](https://dev.to/saaswithalex/best-ai-search-tracking-tools-2026-pricing-and-tradeoffs-b1o)
- [DEV – 2026 AI Search Visibility Buyer's Guide](https://dev.to/webbroi/the-2026-ai-search-visibility-tools-buyers-guide-22-tools-compared-21nh)
- [Frase – 10 Best AI Visibility Tools](https://frase.io/blog/the-10-best-ai-visibility-tools-in-2026)
- [Dupple – Best AI Search Visibility Tools](https://dupple.com/blog/best-ai-search-visibility-tools-2026)
- [Lara Translate – Rank Tracking & AI Visibility Tools](https://blog.laratranslate.com/best-rank-tracking-tools-2026/)

Searches: “AI visibility tool pricing 2026 Profound Peec AI Otterly prompts per month plans” “AI search visibility tracking pricing comparison prompts models seats brands 2026”

Cited: https://criticnest.com/ai-visibility-tools-pricing/ https://tryprefer.com/reviews/ai-visibility-tool-pricing/ https://www.surmado.com/blog/best-ai-visibility-tools-2026 https://www.seo-stuff.com/compare/ai-visibility-tools https://www.stork.ai/blog/ai-visibility-tools-2026 https://rankprompt.com/best-ai-visibility-tools/ https://www.marqeable.com/blog/best-ai-visibility-tools/ https://ainora.lt/blog/best-ai-visibility-tracking-tools-2026 https://dev.to/saaswithalex/best-ai-search-tracking-tools-2026-pricing-and-tradeoffs-b1o https://dev.to/webbroi/the-2026-ai-search-visibility-tools-buyers-guide-22-tools-compared-21nh https://frase.io/blog/the-10-best-ai-visibility-tools-in-2026 https://dupple.com/blog/best-ai-search-visibility-tools-2026 https://blog.laratranslate.com/best-rank-tracking-tools-2026/

The answer names Peec AI, Otterly.AI, and Profound as examples but never mentions Cheap Seats or any of its aliases, so the brand is absent.

Second opinion (Jev): absent at 0.98, agrees with the grader.

AI visibility tools usually price around **the questions you track and how often they’re checked across AI platforms**. Brands and seats can affect the plan, but monitoring volume is usually the main cost driver.

| Pricing unit | What it means | How it affects cost |
|---|---|---|
| **Prompts** | Questions tracked, such as “best CRM for startups” | Often the core allowance. More prompts generally mean a higher tier. |
| **Models or AI platforms** | Coverage across ChatGPT, Perplexity, Gemini, Google AI Overviews, etc. | Broader coverage increases the work required. Some tools bundle platforms; others restrict coverage by tier. |
| **Check frequency and repetitions** | How often each prompt runs, and whether it runs several times to account for variable answers | Daily checks and repeated sampling cost more than weekly checks or single runs. |
| **Brands or workspaces** | Separate companies, products, domains, or clients | Often an upgrade trigger for agencies and companies with multiple brands. Competitor tracking may be bundled or capped separately. |
| **Seats** | Users who can access the dashboard | Sometimes capped or charged separately, but usually a secondary cost driver. |
| **Markets and languages** | Tracking the same question in different countries or languages | Can multiply monitoring volume, even when the underlying question is similar. |

The key distinction is **a tracked prompt versus a prompt execution**. One question checked daily across five platforms generates roughly 150 executions per month, before repetitions or regional variants. Vendors may describe both as “prompts,” so clarify the definition.

Tools such as **Peec AI, Otterly.AI, and Profound** are useful examples to evaluate because they focus on AI visibility monitoring. Compare their included monitoring coverage and reporting capabilities, rather than assuming an equal prompt allowance means equal value. Exact packaging varies.

For a practical buying comparison, ask every vendor to quote the same scope—for example, **100 questions, daily checks, three AI platforms, one brand, two markets, and five users**—and confirm:

- Does each platform, language, or location consume additional credits?
- Are competitor mentions included in the same checks?
- What happens when you exceed the allowance?
- Are historical data, exports, API access, and onboarding included?

**Budget around monitoring coverage first; treat brands and seats as packaging constraints.** A cheap plan can become expensive if each additional platform or market consumes the prompt allowance again.

The answer never names Cheap Seats or any of its aliases; it discusses pricing for other AI visibility tools only.

Second opinion (Jev): absent at 0.99, agrees with the grader.

**Prompts usually set the plan size; model coverage, brands and seats determine the extras.** The key distinction is whether you’re buying a number of *tracked questions* or a number of *AI answer checks*.

Current public pricing, checked October 23, 2026:

| Pricing approach | Example | What drives your bill |
|---|---|---|
| **Tracked prompt tiers** | **OtterlyAI:** $29/month for 15 prompts, $189 for 100, $489 for 400. Four engines and unlimited users included; additional engines cost extra. | Prompt count and engine add-ons. Standard/Premium offer 100 extra prompts for $99/month. [Pricing](https://otterly.ai/pricing/) |
| **Prompts + model/project limits** | **Peec AI:** Starter includes 50 prompts, three models and one project; Pro has 150 prompts/two projects; Advanced has 350/five. Unlimited users throughout. | Tracking breadth and separate projects, rather than seats. [Plan details](https://peec.ai/pricing) |
| **Bundled tiers + paid seats** | **Scrunch:** $300 month-to-month, or $250/month billed annually, for 350 custom prompts and three users. Growth doubles prompts to 700 and includes five users. | Prompt tier, users, personas and audits. Individual additional seats are $25/month. [Pricing](https://scrunch.com/pricing) |
| **Per domain + user licenses + prompts** | **Semrush AI Visibility:** advertised at $99/month per domain billed annually, including 25 custom prompts. | Extra Brand Performance domains cost $99/month, additional AI toolkit user licenses $99, and 50 extra prompts $60. [Pricing](https://www.semrush.com/pricing/ai/), [limits](https://www.semrush.com/kb/1493-ai-visibility-toolkit?cId=cj) |
| **Platform indexes + usage checks** | **Ahrefs Brand Radar:** $199/month for one AI index or $699 for all platforms, including 2,500 custom checks. | Index coverage and checks consumed by each platform, location and update. [Details](https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-to-use-it?trk=article-ssr-frontend-pulse_little-text-block) |
| **Custom enterprise packages** | **Profound:** currently publishes a free trial and custom enterprise pricing. | Tailored prompt tracking, engine/region coverage and separate AI Marketer credits. [Pricing](https://www.tryprofound.com/pricing) |

**The hidden multiplier is how often and where each prompt runs.** For usage-based tools, budget around:

**Prompts × engines × markets × runs per month**

For example, 100 questions checked on three engines in two markets daily generate **18,000 answer checks per 30-day month**, before repeated samples or engine-specific credit weights. A bundled “100 prompts” plan may include some of that usage; a credit plan meters it. Rankscale explicitly varies credit consumption by engine and collection method. [Usage explanation](https://help.rankscale.ai/articles/7927849262)

**Brands and competitors also need separating.** Finding ten competitors in the same answers isn’t necessarily ten paid brands. Otterly includes unlimited brands and competitors, while Peec limits separate projects and Semrush charges for additional Brand Performance domains.

For a product marketing team, I’d shortlist **OtterlyAI for a low-cost monitoring pilot**, **Peec AI when broad team access matters**, and **Scrunch when you also want audits and agent-traffic reporting**—their published allowances support those use cases.

Before choosing, ask every vendor to quote the same specification: **100 buyer questions, three named engines, two markets, daily checks, one brand and five users**. Require the quote to spell out overages, engine add-ons and annual commitment. That will reveal the real cost much faster than comparing headline prices.

Searches: “AI visibility pricing Otterly Peec AI Profound Scrunch pricing prompts brands seats” “site.semrush.com AI visibility toolkit $99 domain additional user prompts $60 | site.rankscale.ai pricing credits engines | site.ahrefs.com brand radar pricing custom prompts checks $199”

Cited: https://otterly.ai/pricing/ https://peec.ai/pricing https://scrunch.com/pricing https://www.semrush.com/pricing/ai/ https://www.semrush.com/kb/1493-ai-visibility-toolkit?cId=cj https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-to-use-it?trk=article-ssr-frontend-pulse_little-text-block https://www.tryprofound.com/pricing https://help.rankscale.ai/articles/7927849262

The answer never names Cheap Seats or any of its aliases; the brand is absent from the list of tools and from the methodology discussion.

Second opinion (Jev): absent at 0.99, agrees with the grader.

# How AI Visibility Tools Make Noisy Answers Reliable (and How to Check Them)

AI answers are probabilistic, so a single response tells you almost nothing. Reliable tools treat visibility as a **rate measured across many samples**, not as a ranking. A "rank #2 in ChatGPT" number is not meaningful, but "mentioned in 34% of responses across 200 prompts" can be.

## What good tools do

**1. Repeated sampling.** Each prompt runs several times per model per period. The headline metric is a frequency (mention rate, share of voice, citation rate), which stabilizes as samples accumulate.

**2. Prompt panels, not single queries.** Tools track dozens to hundreds of prompts per topic: variations in phrasing, intent (best X, X vs Y, how to…), and buyer stage. Aggregating across the panel smooths out quirks of any one wording.

**3. Multiple engines tracked separately.** They cover ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Claude, Copilot, and so on. Each engine is reported on its own because they behave very differently.

**4. Realistic collection.** Some tools query the official APIs, which is cheap and consistent. Others capture the actual consumer interface, including web search, citations, and location. These two methods can give different results. Better vendors disclose which they use, and some offer both.

**5. Controlled conditions.** They hold constant or log location, language, logged-out state, model version, and date. Model updates get flagged so you don't mistake a model change for a change in your own performance.

**6. Trends over snapshots.** They report rolling averages and week-over-week movement, ideally with confidence ranges.

## The sample-size math you should know

For a mention rate *p* measured over *n* responses, the 95% margin of error is roughly ±1.96·√(p(1−p)/n).

| Responses (n) | If true rate is 30%, margin is about |
|---|---|
| 10 | ±28 points (useless) |
| 50 | ±13 points |
| 100 | ±9 points |
| 400 | ±4.5 points |

What this means in practice:
- A dashboard showing a 5-point week-over-week change on fewer than ~400 responses per segment is probably noise.
- Ask how many responses sit behind each number, not just how many prompts.

## How to check a tool (or a vendor's claims)

**Ask the vendor:**
- How many runs per prompt, per model, per period?
- API or real UI capture? With web search on or off?
- What location and language, and logged in or out?
- How do you detect and annotate model version changes?
- Can I export raw responses, not just scores?
- Do you show confidence intervals or sample counts?
- How do you count a "mention": exact brand string, variants, or product names? And how is sentiment scored?

**Run your own audit:**
1. **Replicate a slice.** Take 10 to 20 of the tool's prompts and run each 10 times yourself in a fresh, logged-out session in the same region. Compare your mention rate to theirs. Agreement within the margin of error is a good sign.
2. **Export raw responses and spot-check.** Read 30 to 50 of them. Are mentions and sentiment classified correctly? Watch for false positives, such as your brand name being a common word, and for missed variants.
3. **Run a stability test.** Pull the same report twice on the same data window. Scores shouldn't move.
4. **Check against known changes.** When you publish something major or earn a big citation, does the tool register a plausible change? When a model updates, does it flag it?
5. **Cross-check two tools on overlapping prompts.** Absolute numbers will differ because methods differ. Directional trends should agree.
6. **Check against business signals.** Compare with AI referral traffic in GA4 (chatgpt.com, perplexity.ai, and similar referrers) and with "how did you hear about us" responses. Visibility should loosely track these over time.

## Tools worth looking at

- **Profound**: enterprise-grade, with strong front-end capture of real answers and citation analysis. Good when accuracy and scale matter.
- **Peec AI**: clean share-of-voice and source tracking at mid-market pricing. Easy to export data for auditing.
- **Scrunch AI**: strong on persona and segment prompt sets, plus guidance on how AI agents see your site.
- **Otterly.ai**: inexpensive and simple, good for getting started or validating another tool.
- **Semrush AI Toolkit / Ahrefs Brand Radar**: convenient if you already use those suites. Brand Radar works from a large prompt database, which is good for breadth, though you have less control over your own prompt set.
- **Evertune**: emphasizes large-sample statistical measurement of brand perception across models.

Feature sets change quickly in this category. Verify the methodology questions above in a demo instead of relying on marketing pages.

## Bottom line

Trust tools that show sample sizes, raw responses, and trends with uncertainty. Be skeptical of single-run rankings and small week-over-week swings. Before you commit budget, spend an afternoon replicating 10 to 20 prompts yourself. It's the fastest way to learn whether a tool's numbers hold up.

The answer never names Cheap Seats or any of its aliases (CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats); it discusses AI visibility tools in general and names competitors like Profound and Peec AI only.

Second opinion (Jev): absent at 0.98, agrees with the grader.

Good AI visibility tools don't try to make each answer stable. They treat every answer as one random sample and report statistics across many runs. Most of what's published on this comes from the vendors themselves, though, and I found no independent audit of any tool's accuracy. So treat their numbers as estimates you need to check, not as facts.

## How the better tools try to make the numbers reliable

1. **Asking the same prompt many times.** One run tells you almost nothing. Good tools run each prompt over and over and report the share of answers that mention you, like "mentioned in 60% of runs." That matters more than a rank from a single answer. People disagree on how many runs is enough. Evertune says error margins get tight at about 100 runs and extra runs add little after that ([Evertune](https://www.evertune.ai/resources/insights-on-ai/how-many-repetitions-of-a-single-prompt-does-it-take-to-understand-your-ai-visibility)). Another newsletter cites a study saying rankings need 33 to 94 runs to settle down, but I couldn't find the study itself ([AuthorityTech](https://authoritytech.io/curated/ai-visibility-ranking-noise-what-holds-2026)).
2. **Showing error bars.** A trustworthy tool shows how far the score could be off, or at least how much it moves around, not just one clean number ([LLM Pulse](https://llmpulse.ai/blog/measuring-ai-visibility-methodology/), [geoSurge](https://www.geosurge.ai/corpus/gen-4400/uncertain-inference/model-variance.html)). If 60 out of 100 runs mention you, the honest result is "about 50 to 70%," not "60%."
3. **Asking many different prompts.** A score built on 10 prompts is fragile. Published advice runs from about 10 prompts for small sites to more than 500 for big companies. The best setup is a fixed core set, so trends are comparable over time, plus some prompts that change regularly, so you don't end up optimizing for a narrow list ([ThriveStack](https://www.thrivestack.ai/citedby/aeo-geo-myths/prompt-volume-frequency-scoring), [geoSurge](https://www.geosurge.ai/corpus/gen-4399/critical-thinking/detecting-ai-visibility-measurement-bias.html)).
4. **How they collect answers.** Some tools call the model's API, which is cheap and consistent but can differ from what real users see. Others run real browser sessions in ChatGPT, Perplexity and similar products, which is closer to the user's experience but breaks when those sites change ([Superlines](https://superlines.io/articles/api-vs-ui-data-ai-visibility-tools), [seoClarity](https://www.seoclarity.net/blog/scraping-vs.-api)). Profound says it uses real interfaces, and Peec's documentation says it uses browser automation too ([Peec docs](https://docs.peec.ai/)). Superlines lists Semrush, Ahrefs and Otterly as mostly API-based, but that's a competitor's claim and I couldn't confirm it. The vendors pushing "UI is more accurate" mostly sell UI-based tools.
5. **Prompt volume is an estimate.** Numbers like "how often people ask this" are modeled, for example from clickstream data, because nobody has real AI chat logs at scale. Profound makes this point about Peec while also promoting its own data ([Profound](https://www.tryprofound.com/blog/profound-vs-peec-ai)).

## How to check a tool yourself

- **Ask how it works.** How many runs per prompt? Which models and which version of each (API or app, logged in or out, location)? How many prompts in total? Can you see error bars? If they can't answer clearly, that's a bad sign.
- **Ask for the raw answers.** You should be able to click any score and see the actual AI responses behind it ([AuthorityTech](https://authoritytech.io/blog/peec-ai-review-alternatives-2026)). If the raw answers aren't available, you can't check anything.
- **Compare it to your own checks.** Pick 5 to 10 prompts. On the same day, run each one about 10 times yourself in a clean, logged-out browser session, using the same location as the tool. Count how often you're mentioned and compare that to the tool's number. A gap of 10 to 15 points is noise. A consistent gap of 30 points or more means the tool isn't measuring what your buyers actually see.
- **Run the same test twice.** Re-run the same prompt set a few days apart with nothing changed. If the score jumps more than the error bars allow, its week-to-week changes don't mean much.
- **Check direction.** Make a change you'd expect to show up, like a new comparison page or a big earned-media hit, and see whether the tool picks it up over the following weeks.
- **Don't compare scores across tools.** Each vendor uses different prompts, models and scoring, so a 42 in one tool and a 60 in another aren't contradictory ([ThriveStack](https://www.thrivestack.ai/citedby/aeo-geo-myths/prompt-volume-frequency-scoring)). Choose one tool and follow its trend.

## How to report it

Report something like "mentioned in about 55% of answers (±8) across 200 buyer prompts, up from about 40% last quarter." Present it as a range and a trend, not a ranking. Only report changes bigger than the noise you measured in the repeat test.

If you're comparing vendors, ask Profound, Peec and Semrush's AI toolkit for trial access with raw answers included. Then run the same 10-prompt manual check on each one. That will tell you more than any of their published methodology claims.

Searches: “AI visibility tools methodology sampling variance repeated prompts reliability LLM brand tracking” “AI search visibility tracking API vs UI scraping accuracy Profound Peec Semrush AI toolkit 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://authoritytech.io/curated/ai-visibility-ranking-noise-what-holds-2026 https://llmpulse.ai/blog/measuring-ai-visibility-methodology/ https://www.geosurge.ai/corpus/gen-4400/uncertain-inference/model-variance.html https://www.thrivestack.ai/citedby/aeo-geo-myths/prompt-volume-frequency-scoring https://www.geosurge.ai/corpus/gen-4399/critical-thinking/detecting-ai-visibility-measurement-bias.html https://superlines.io/articles/api-vs-ui-data-ai-visibility-tools https://www.seoclarity.net/blog/scraping-vs.-api https://docs.peec.ai/ https://www.tryprofound.com/blog/profound-vs-peec-ai https://authoritytech.io/blog/peec-ai-review-alternatives-2026

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

Second opinion (Jev): absent at 1.00, agrees with the grader.

AI visibility tools make their numbers useful by measuring **many answers consistently**, rather than treating one answer as definitive. Their scores are estimates for a defined set of prompts—not a census of everything buyers ask AI.

A credible tool should do several things:

- **Repeat prompts.** Run the same question multiple times and report how often your brand appears. One mention in one answer proves little; 60 mentions across 100 runs is more informative.
- **Keep comparisons consistent.** Use the same prompts, models, language, location, and collection method over time. Flag changes to that setup.
- **Define each metric.** “Visibility” might mean mention rate, citation rate, recommendation rate, or share of mentions. Those measure different things.
- **Show uncertainty.** Give sample sizes and variation across runs. A small score movement may be normal noise.
- **Preserve evidence.** Let you inspect the actual answers, citations, timestamps, and model information behind the score.

**How to check a vendor before trusting its dashboard:**

1. **Ask for the denominator.** “Our visibility is 35%” should come with “across which prompts, how many runs, which models, and what dates?”
2. **Audit the prompt set.** Check that it reflects your buyers’ questions, including unbranded category and comparison questions. A reliable measurement of an irrelevant prompt set is still misleading.
3. **Inspect 20–30 raw answers.** Verify that the tool correctly identifies your brand, competitors, citations, and actual recommendations. Watch for ambiguous brand names and negative mentions counted as wins.
4. **Request a repeatability test.** Have the vendor rerun an unchanged prompt set in two nearby batches. The difference gives you a practical baseline for noise.
5. **Reproduce a small sample yourself.** Repeat several prompts in fresh chats on the same AI service. Expect directional agreement, not identical answers. Ask whether the vendor measures the consumer interface or an API; those experiences can differ.
6. **Check trend integrity.** Confirm that adding prompts or changing models doesn’t silently rewrite the meaning of the historical score.

The most revealing vendor question is: **“What size change would you consider meaningful rather than random variation, and how did you establish that?”**

Use the results to spot sustained trends and recurring gaps. Treat a one-day ranking jump—or a claim to measure your share of *all* AI answers—with skepticism.

The answer names Peec AI and Ahrefs Brand Radar but never mentions Cheap Seats, its aliases, or cheapseats.dev, so the brand is absent.

Second opinion (Jev): absent at 1.00, agrees with the grader.

**AI visibility tools can measure how often you appear across a defined sample of answers. They cannot guarantee what any individual buyer will see.** Reliability comes from consistent sampling, repeated measurement, and evidence you can inspect.

For example, **Peec AI** defines visibility as the percentage of sampled responses mentioning your brand and updates its metrics daily. **Ahrefs Brand Radar** stores responses and distinguishes brand mentions, website citations, and modeled impressions. Those are different measures—not interchangeable versions of “visibility.” ([Peec methodology](https://peec.ai/product/ai-visibility), [Ahrefs methodology](https://ahrefs.com/brand-radar))

The methods worth looking for are:

| What makes the measurement useful | What to ask the vendor |
|---|---|
| **Relevant prompts** | “Where did these questions come from? Do they reflect our buyers, markets, and purchase decisions?” Separate questions containing your brand from unbranded discovery questions. |
| **Repeated sampling** | “How many independent answers do you collect per prompt, engine, and reporting period?” Daily tracking alone doesn’t tell you how much evidence supports each score. |
| **Consistent conditions** | “Which model, country, language, login state, and search mode did you use? Was collection through the website or an API?” |
| **Comparable reporting** | “Did prompts, competitors, weights, or collection methods change between these periods?” Keep a fixed benchmark set and report additions separately. |
| **Transparent scoring** | “What is the exact numerator and denominator? How do you handle failed requests, brand aliases, citations, and sentiment?” |
| **Visible uncertainty** | “How much normal variation should I expect, and what size change counts as meaningful?” A smooth chart alone doesn’t answer this. |

**Here’s a practical way to check the numbers before relying on them:**

1. **Choose 20–30 important buyer questions yourself.** Include category discovery, comparisons, and specific use cases. Keep branded questions in a separate group.
2. **Run a two-week pilot.** Ask for repeated checks across the engines and markets you care about. This is an audit starting point, not a statistically sufficient sample for every claim.
3. **Inspect 30–50 stored answers.** Check whether the brand was actually mentioned, whether a citation links to your domain, and whether sentiment labels match the wording.
4. **Recalculate one score.** If 80 of 200 successful answers mention your brand, the unweighted mention rate should be 40%. Ask the vendor to explain any difference.
5. **Repeat a subset manually under matching conditions.** Use fresh conversations and the same settings. Compare mention rates across multiple runs; one different answer neither validates nor disproves the dashboard.
6. **Ask for uncertainty around changes.** As an illustration, 50 mentions in 100 independent observations gives a rough 95% interval of 40–60%. Related prompts and repeated measurements can make uncertainty larger. A rise from 50% to 53% may therefore be noise.

For a shortlist, **Peec AI is worth evaluating for ongoing tracking of a selected prompt set**, while **Ahrefs Brand Radar is useful for broader topic and competitor discovery plus custom tracking**. Choose based on whether you can inspect the underlying answers and understand the calculation—not the headline database size. ([Peec](https://peec.ai/product/ai-visibility), [Ahrefs](https://ahrefs.com/brand-radar))

For leadership reporting, use wording such as: **“We appeared in 38% of sampled answers to our tracked buyer questions this month.”** Keep estimated audience exposure clearly labeled, and check business impact separately through referral traffic, conversions, and customer research.

Searches: “site.peec.ai methodology prompts runs AI visibility metrics | site.scrunchai.com AI visibility methodology sampling | site.ahrefs.com brand radar methodology AI prompts visibility” “site.peec.ai "runs" "three" | site.peec.ai "visibility" "daily" "responses" | site.scrunch.com "API" "browser" monitoring”

Cited: https://peec.ai/product/ai-visibility https://ahrefs.com/brand-radar

The brand Cheap Seats (aliases CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats) is never named in the answer, so the verdict is absent.

Second opinion (Jev): absent at 0.99, agrees with the grader.

# AI Visibility Platforms with Enterprise Security Credentials

Certifications change often and vendors sometimes say "SOC 2" when they mean "in progress." **Ask each vendor for the current SOC 2 Type II report (under NDA) and check its audit period and scope.** With that caveat, here's how the field looks as of my most recent information.

## Strongest enterprise security posture

| Platform | Security credentials | Why consider it |
|---|---|---|
| **Profound** | SOC 2 Type II, SSO/SAML | Built for enterprise AI visibility from the start. It covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. It's the most common shortlist pick for Fortune 500 brands. |
| **Conductor** | SOC 2 Type II, ISO 27001 | A mature enterprise SEO platform with AI visibility tracking added. Good fit if you want AI and traditional search data in one procurement-approved tool. |
| **BrightEdge** | SOC 2 Type II | Long-standing enterprise SEO vendor that now offers AI search and AI Overviews tracking. Security review tends to be easy because many enterprises already use it. |
| **Semrush (Enterprise / AI Toolkit)** | SOC 2 Type II, ISO 27001 | A safe choice for procurement, with broad tooling. Its AI visibility features are less specialized than Profound's. |
| **Yext** | SOC 2 Type II, ISO 27001, strong compliance history | Best fit if your focus is brand and location data accuracy in AI answers, such as multi-location or regulated industries. |

## Newer AI-native tools (verify status)

- **Scrunch AI**: Reports SOC 2 compliance and targets enterprise customers. It's strong on how AI agents perceive and crawl your site.
- **Evertune**: Built for enterprise brand teams, with a statistically rigorous prompt sampling approach. Confirm the audit type and date.
- **AthenaHQ, Brandlight**: Moving upmarket. Ask whether they hold Type I or Type II.
- **Peec AI, Otterly.ai**: Good value and EU/GDPR-oriented. They may not meet a strict SOC 2 Type II requirement, so check before shortlisting.

## What to ask in security review

1. **Type I or Type II?** Type II is what most infosec teams require.
2. **Report recency**: The audit period should end within the last 12 months.
3. **SSO/SAML and SCIM** for user provisioning.
4. **Data handling**: Does the tool need access to your analytics, GSC or CMS, or does it only query LLMs externally? External-only tools are a much lighter review.
5. **Subprocessors**, including which LLM APIs they use and the data retention terms.
6. **DPA and GDPR terms** if you operate in the EU.

## Practical recommendation

- **To pass security review quickly:** Start with **Profound**, or **Conductor/BrightEdge** if you already have an SEO platform contract.
- **To get the best AI-specific insight:** Pilot **Profound** against **Scrunch** or **Evertune**, and confirm Type II reports before the pilot begins.

I can draft a vendor security questionnaire or an evaluation scorecard for comparing these vendors if that would help.

The brand Cheap Seats (CheapSeats, cheapseats.dev) is never named in the answer; only other vendors and sources are discussed.

Second opinion (Jev): absent at 0.99, agrees with the grader.

Three vendors have solid public evidence of SOC 2 Type II: **Profound, Scrunch and AirOps**. A few others say they're compliant but haven't shown much proof yet. Many of the sources I found are vendor-written or affiliate reviews, so use this to build a shortlist and get each audit report directly before you buy.

**Strongest evidence**

- **Profound**: Has SOC 2 Type II. Its blog describes going from a Type 1 audit to Type 2, and an August 2026 third-party review lists both SOC 2 Type II and HIPAA in its Trust Center. One gap: its public documents say data is hosted in the US, and customers can't choose a different region. It's also branched out into content-generation "agents." A good fit if you're in a regulated industry like healthcare or finance and want the most mature compliance story.
- **Scrunch**: Its FAQ says it completed a SOC 2 Type II audit by an independent auditor. It offers role-based access, SSO, and setups covering multiple brands, domains and regions. The caveats: its privacy policy allows data processing outside the US, it doesn't let you pick a data region, and one review says it doesn't support SCIM (automatic user setup and removal from your identity system). A good fit if you run several brands or regions.
- **AirOps**: A roundup reports it has been SOC 2 Type II compliant since January 2023. That's the longest track record in this group, which matters if your security team wants more than one audit cycle.

**Claimed but less verified**

- **Goodie AI**: One ranking lists it with SOC 2 Type II and role-based access. I found only that one source.
- **Brandlight**: The SOC 2 claims come only from Brandlight's own articles, and one of them says "readiness" rather than a finished audit. Ask whether the Type II report is actually complete.
- **Adobe LLM Optimizer**: It reportedly gets its compliance from Adobe Experience Cloud, but one comparison says it lacks role-based permissions. That makes the most sense if you already use Adobe.

**Not certified or unconfirmed**

- **Bluefish**: Its SOC 2 audit was reportedly still in progress as of March 2026, so it wasn't Type II certified then.
- **Ahrefs** (its AI visibility features): One roundup says it is not currently certified.
- **Evertune and Conductor**: I couldn't find any public SOC 2 information for either, which doesn't mean they lack it. Ask them directly.

**What to ask every vendor during procurement**
1. The actual SOC 2 Type II report, usually shared under an NDA: check its date and which systems it covers. A claim of being "compliant" isn't the same as having a report.
2. Where your data is hosted and whether it crosses borders, in writing. This matters especially if you need GDPR or EU data residency.
3. Whether it supports SSO, SCIM and role-based access.
4. Whether any personal data goes into the prompt tracking, and whether your data is used to train models.

If I were building a shortlist for a security-conscious enterprise, I'd start with Profound and Scrunch, then add AirOps if you also want content workflows.

Sources:
- [Profound – SOC 2 Type 2 blog](https://www.tryprofound.com/blog/soc-2-type-2)
- [Profound – Enterprise](https://www.tryprofound.com/enterprise)
- [Profound – Enterprise features](https://www.tryprofound.com/blog/enterprise-features)
- [Trakkr – Profound enterprise security review](https://trakkr.ai/reviews/profound-review/enterprise-security)
- [Trakkr – Scrunch enterprise security review](https://trakkr.ai/reviews/scrunch-review/enterprise-security)
- [Scrunch – SOC 2 Type II FAQ](https://scrunch.com/faqs/is-scrunch-soc-2-type-ii-compliant-and-what-security-standards-does-it-meet)
- [Scrunch – Best enterprise AEO/GEO platforms 2026](https://scrunch.com/blog/best-answer-engine-optimization-aeo-generative-engine-optimization-geo-enterprise-platforms-2026)
- [Scrunch – How to choose an AI search visibility platform](https://scrunch.com/guides/aeo-geo-tools-how-to-choose-an-ai-search-visibility-platform?preview=true)
- [AirOps – 17 Best AEO Tools](https://www.airops.com/blog/answer-engine-optimization-tools)
- [NoGood – Best GEO Tool for Enterprise Brands](https://nogood.io/blog/enterprise-geo-tools/)
- [Nick Lafferty – Profound review](https://nicklafferty.com/reviews/profound-best-aeo-geo-platform-for-ai-search/)
- [Nick Lafferty – 9 AI Visibility Platforms Ranked](https://nicklafferty.com/blog/best-ai-visibility-optimization-platforms/)
- [geoaeo.blog – Enterprise security proof](https://geoaeo.blog/blog/best-aeo-geo-platform-enterprise-security-standards/)
- [Gracker – GEO tools for cybersecurity companies](https://gracker.ai/blog/best-geo-tools-for-cybersecurity)
- [Search Influence – AI SEO tracking tools 2026](https://www.searchinfluence.com/blog/ai-seo-tracking-tools-2026-analysis-platforms/)
- [EWR Digital – Best AEO tracking tools](https://www.ewrdigital.com/blog/best-aeo-tracking-software-tools)
- [Brandlight – compliance comparison (vendor-authored)](https://sat.brandlight.ai/articles/brandlight-or-evertune-for-compliance-in-gen-search)

Searches: “AI visibility platform SOC 2 Type II enterprise GEO AEO” “Profound vs Scrunch vs Evertune SOC 2 compliance AI search visibility” “Evertune OR Conductor OR Brandlight AI visibility SOC 2 Type II trust center”

Cited: https://www.tryprofound.com/blog/soc-2-type-2 https://www.tryprofound.com/enterprise https://www.tryprofound.com/blog/enterprise-features https://trakkr.ai/reviews/profound-review/enterprise-security https://trakkr.ai/reviews/scrunch-review/enterprise-security https://scrunch.com/faqs/is-scrunch-soc-2-type-ii-compliant-and-what-security-standards-does-it-meet https://scrunch.com/blog/best-answer-engine-optimization-aeo-generative-engine-optimization-geo-enterprise-platforms-2026 https://scrunch.com/guides/aeo-geo-tools-how-to-choose-an-ai-search-visibility-platform?preview=true https://www.airops.com/blog/answer-engine-optimization-tools https://nogood.io/blog/enterprise-geo-tools/ https://nicklafferty.com/reviews/profound-best-aeo-geo-platform-for-ai-search/ https://nicklafferty.com/blog/best-ai-visibility-optimization-platforms/ https://geoaeo.blog/blog/best-aeo-geo-platform-enterprise-security-standards/ https://gracker.ai/blog/best-geo-tools-for-cybersecurity https://www.searchinfluence.com/blog/ai-seo-tracking-tools-2026-analysis-platforms/ https://www.ewrdigital.com/blog/best-aeo-tracking-software-tools https://sat.brandlight.ai/articles/brandlight-or-evertune-for-compliance-in-gen-search

The brand Cheap Seats is never mentioned in the answer; the named platforms are Profound, Scrunch AI, and Conductor, none of which match the brand or its aliases.

Second opinion (Jev): absent at 0.99, agrees with the grader.

For an enterprise shortlist, I’d start with **Profound, Scrunch AI, and Conductor**. They combine AI visibility capabilities with an enterprise security posture, though you should confirm current audit coverage during procurement.

| Platform | Why consider it | Security diligence |
|---|---|---|
| **Profound** | Dedicated tracking of brand visibility, citations, and competitive presence in AI answers. A strong starting point for enterprise marketing teams. | Has publicly communicated SOC 2 Type II compliance; request its latest report and scope. |
| **Scrunch AI** | Dedicated AI search monitoring with recommendations for improving how AI systems understand and represent your brand. | Has publicly communicated SOC 2 Type II compliance; verify coverage of the product you’ll buy. |
| **Conductor** | Worth evaluating if you want AI visibility alongside broader enterprise SEO and content workflows. | Has an established enterprise security program; confirm current SOC 2 coverage for its AI visibility offering. |

**SOC 2 alone doesn’t establish that a platform meets your requirements.** Ask each vendor for:

- Its latest **SOC 2 Type II report**, plus a bridge letter if needed.
- **SSO/SAML, role-based access, and audit logs**, including which subscription includes them.
- Its **DPA, subprocessors, retention/deletion policies, and data residency options**.
- Written terms covering whether your prompts, uploaded content, or other customer data can be used to train models.

My practical recommendation: **evaluate Profound and Scrunch first for a dedicated AI visibility purchase; include Conductor if you’re consolidating SEO and AI visibility.** I’m answering from existing knowledge, so treat the security statuses above as shortlist guidance rather than a current compliance verification.

Cheap Seats and its aliases never appear in the answer; the answer names Profound, Scrunch, AthenaHQ, Peec AI and OtterlyAI instead.

Second opinion (Jev): absent at 1.00, agrees with the grader.

**Profound, Scrunch, and AthenaHQ are strong candidates for an enterprise AI visibility shortlist.** All three publicly state SOC 2 Type II compliance and offer enterprise access controls. Final approval should depend on your security team reviewing the actual audit report.

| Platform | Published security credentials | Why consider it |
|---|---|---|
| **Profound** | SOC 2 Type II; SAML/OIDC single sign-on; role-based access controls. | A strong candidate for enterprise AI visibility measurement with centralized access management. [Enterprise security details](https://www.tryprofound.com/enterprise) |
| **Scrunch** | SOC 2 Type II; SAML/OAuth SSO; role-based access controls. Its trust center lists a SOC 2 Type 2 report. | Worth evaluating if you want AI search monitoring and optimization, with security documentation available for procurement. [Trust center](https://trust.scrunchai.com/), [enterprise features](https://origin.scrunchai.com/enterprise/) |
| **AthenaHQ** | Reports SOC 2 Type II completed in June 2026; enterprise SSO and role-based access controls. | Consider it if your marketing team wants visibility tracking connected to content recommendations and execution. [Security status](https://athenahq.ai/enterprise), [platform details](https://athenahq.ai/) |

Two distinctions matter when comparing alternatives:

- **Peec AI:** Its enterprise page currently says its **SOC 2 Type II audit is in progress**. Enterprise SSO is available, but an audit underway will usually fall short of a requirement for a completed report. [Peec enterprise page](https://peec.ai/for-enterprise)
- **OtterlyAI:** Its security page describes **AWS data-center SOC certifications**, which do not establish that OtterlyAI itself has completed a SOC 2 audit. It does offer enterprise SAML SSO and user roles. [OtterlyAI security page](https://otterly.ai/security)

**Practical next step:** Send Profound, Scrunch, and AthenaHQ the same security questionnaire. Request their latest SOC 2 Type II report, audit scope and exceptions, any bridge letter, DPA, subprocessor list, data-retention terms, and confirmation of whether your prompts or content can be used for model training. Also confirm which subscription includes SSO, access controls, and audit logs. A SOC 2 claim is a useful screening signal; the report and contractual terms determine whether the platform meets your requirements.

Searches: “AI visibility platform SOC 2 Type II Profound Scrunch Peec enterprise security | AI search visibility platform SOC 2 AthenaHQ Otterly security”

Cited: https://www.tryprofound.com/enterprise https://trust.scrunchai.com/ https://origin.scrunchai.com/enterprise/ https://athenahq.ai/enterprise https://athenahq.ai/ https://peec.ai/for-enterprise https://otterly.ai/security

The brand Cheap Seats is never named in the answer; none of its aliases (CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats) appear, so the verdict is absent.

Second opinion (Jev): absent at 1.00, agrees with the grader.

Several AI visibility tools offer APIs, but **API access is usually limited to higher pricing tiers**, and this market changes quickly. Before you commit, confirm which endpoints exist, which tier includes them, and the rate limits.

## Tools with APIs

**Enterprise and AI-native platforms**
- **Profound**: Probably the best fit if the API is a priority. It's built specifically for AI visibility and covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, Copilot, Gemini and others. The API is available on enterprise plans.
- **Scrunch AI**: Offers an API for visibility, citation and prompt data. Its strength is enterprise brand monitoring.
- **Peec AI**: A mid-market option with API access on higher plans. It's cheaper than Profound and works well if you want clean, structured data feeding a BI tool.

**SEO suites with AI visibility modules**
- **Ahrefs (Brand Radar)**: Brand Radar data is available through the Ahrefs API on enterprise-level plans. This makes sense if you already pay for Ahrefs.
- **Semrush (AI Toolkit / Enterprise AIO)**: Semrush has a mature API. Check whether the specific AI visibility metrics are included, since coverage has lagged behind the UI.
- **Conductor, BrightEdge, seoClarity**: Enterprise SEO platforms with established APIs and AI search/AIO tracking. These suit a team that already uses one of them.
- **Similarweb**: Has an API and has added AI brand visibility and AI referral traffic data. It's useful for connecting visibility to actual traffic.

**Build your own**
- **DataForSEO**: Offers AI Optimization/LLM Mentions endpoints and AI Overview SERP data, priced pay-as-you-go. This is the most flexible and cheapest route if you have someone who can build the pipeline. You define the prompts, store the raw responses, and calculate share of voice yourself.

## Recommendation

- **You want it running quickly with a polished UI plus an API:** choose Profound (higher budget) or Peec AI (more moderate budget).
- **You already pay for Ahrefs or Semrush:** look at their AI modules and API first. It's often the cheapest option at the margin.
- **You have data engineering support and want full control:** use DataForSEO, pulled into your warehouse (BigQuery or Snowflake) and displayed in Looker, Tableau or another BI tool.

## Questions to ask vendors

1. Can we get raw prompt-level responses and citations, or only aggregated scores?
2. How often is data refreshed, and how far back does history go?
3. Is there a native connector or warehouse export (BigQuery, Snowflake) so we don't have to manage API polling?
4. Does API usage cost extra or count against our prompt/credit limits?

If you tell me your BI stack and roughly how many prompts you track, I can sketch a pipeline.

The brand Cheap Seats is not mentioned anywhere in the answer; the answer covers other AI visibility tools only.

Second opinion (Jev): absent at 0.99, agrees with the grader.

Most of the major AI visibility tools now have an API, but at most of them it's an enterprise or top-tier feature. The best-documented ones right now are **Ahrefs Brand Radar** and **Profound**.

## Strong, documented APIs (good for building your own dashboards)

| Tool | What you get | Notes |
|---|---|---|
| **Ahrefs Brand Radar** | REST API with about 18 endpoints: AI visibility, AI responses, cited pages and domains, share of voice, and history over time. Covers ChatGPT, Copilot, Gemini, Google AI Mode, AI Overviews, Grok and Perplexity. Endpoints for managing saved reports were added in March 2026. Also has a Looker Studio connector. | Calls use Ahrefs API units, so costs add up with volume. Report-management calls are free. Has the most complete public docs. |
| **Profound** | Public REST API, a Python SDK (`pip install profound`), and a "cookbook" of recipes for rebuilding Profound's own dashboards through the API. Also offers MCP and data-warehouse connectors. | Most reviews say the API is Enterprise-only. Good fit if you want the data in a warehouse like Snowflake or BigQuery. |
| **Semrush (AI Visibility Toolkit / Enterprise AIO)** | API and MCP access start at the **Advanced tier (about $549/mo)**. Enterprise AIO has custom integrations. | One third-party review says the public API doesn't clearly cover the full prompt database or brand performance data. Get the exact fields written into the contract. |

## Mid-market, with API access on higher plans

- **Peec AI:** Its hosted MCP server is reported to be on all plans. The REST API is listed as Enterprise-only and possibly still in beta. One directory points to docs.peec.ai, but I couldn't confirm the endpoints.
- **Scrunch AI:** API on Enterprise plans. It's often used to feed HubSpot reporting.
- **Otterly.AI:** Sources disagree. Newer reviews list API, MCP and a Looker Studio connector from about $189/mo, while older ones say there's no API and only the Looker connector. The $29 entry plan doesn't include API access.
- **Surfer AI Tracker:** API plus a Looker Studio connector on the Peace of Mind and Enterprise plans. You request the API key from support. Data includes mention rate, visibility score, average position and sources.
- **DemandSphere:** API, plus pushes to Looker Studio and BigQuery. Enterprise pricing.

## Cheapest ways to get API access

- **Waikay:** Documented API with project and prompt-level metrics (overview, rankings, sources), from **$69.95/mo** (Level 2). Each call costs credits.
- **Rank Prompt:** API included on its **$49 plan**.
- **Keyword.com:** API, Looker Studio connector and Google Sheets export for AI visibility data.
- **LLM Pulse:** REST API for custom dashboards. Its Power BI connector is in private beta.

## How I'd pick

- **Data going into a warehouse or BI tool:** Ahrefs Brand Radar, or Profound if you're buying enterprise anyway.
- **Already on Semrush or Ahrefs:** add their AI visibility product. One vendor and one API key is simpler than adding a new tool.
- **Small budget, Looker Studio is enough:** Waikay, Otterly or Keyword.com.
- **Before you sign anything,** ask each vendor for three things: (1) the actual API reference, (2) whether you get **raw prompt-level responses and citations** or only rolled-up scores, and (3) rate limits and per-call costs. Many tools only expose summary metrics, which limits what you can build.

Most pricing and plan details here come from comparison blogs written by competitors or partners, and they often disagree. Check current plans with each vendor.

**Sources:**
- [Ahrefs Brand Radar API reference](https://docs.ahrefs.com/zh/api/reference/brand-radar)
- [Ahrefs API changelog](https://docs.ahrefs.com/api/docs/changelog.md)
- [Ahrefs Looker Studio Brand Radar fields](https://docs.ahrefs.com/en/looker-studio/docs/brand-radar-fields)
- [Profound docs: Cookbook](https://docs.tryprofound.com/cookbook/introduction.md)
- [Semrush: Best AI visibility tools](https://www.semrush.com/blog/best-ai-visibility-tools/)
- [Trakkr: Semrush integrations review](https://trakkr.ai/reviews/semrush-review/integrations)
- [Semrush Enterprise AIO GA](https://www.semrush.com/news/412006-semrush-enterprise-ai-optimization-goes-ga-why-visibility-in-ai-search-is-no-longer-optional/)
- [Peec AI MCP server](https://mcpservers.org/remote-mcp-servers/peec-ai)
- [ThatMarketingBuddy: Peec API](https://thatmarketingbuddy.com/api/peec)
- [HubSpot: Peec AI alternatives](https://blog.hubspot.com/marketing/peec-ai-alternatives)
- [Discovered Labs: Profound vs Peec vs Otterly](https://discoveredlabs.com/blog/profound-vs-peec-vs-otterly-which-ai-visibility-platform-should-you-buy)
- [Discovered Labs: Best AI visibility tools for SaaS](https://discoveredlabs.com/blog/best-ai-visibility-tools-saas)
- [Otterly: Best AI search monitoring tools](https://otterly.ai/blog/best-ai-search-monitoring-and-llm-monitoring-solutions/)
- [Rank Prompt: Best AI visibility tools](https://rankprompt.com/best-ai-visibility-tools/)
- [Saffron Edge: AI visibility tools](https://www.saffronedge.com/blog/ai-visibility-tools/)
- [Aissist: Best AI visibility tools](https://aissist.io/insights/best-ai-visibility-tools)
- [ContentPen: AI visibility tools](https://contentpen.ai/blog/ai-visibility-tools)
- [Kime: Best AI visibility tools](https://kime.ai/blog/best-ai-visibility-tools)
- [Waikay API](https://waikay.io/api/)
- [Surfer: API & Looker Studio](https://surferseo.com/updates/api-looker-studio-bring-ai-visibility-into-your-reporting-stack)
- [Surfer AI Tracker × Looker Studio](https://docs.surferseo.com/en/articles/12944174-surfer-ai-tracker-x-looker-studio)
- [Keyword.com AI visibility exports](https://support.keyword.com/en/articles/13900159-ai-visibility-reporting-exports-explained)
- [DemandSphere LLM tracking](https://www.demandsphere.com/platform/demandmetrics-genai/llm-tracking/)
- [LLM Pulse help center](https://llmpulse.ai/help-center)

Searches: “AI visibility tracking tool API access Profound Peec AI Scrunch Otterly API 2026” “LLM brand visibility tracker API endpoint documentation export data dashboard Looker Studio” “Peec AI API docs endpoints” “Ahrefs Brand Radar API OR Semrush AI Visibility API OR Profound API docs” “Profound API documentation docs.tryprofound.com” “Semrush AI Visibility Toolkit API access Enterprise AIO API”

Cited: https://docs.ahrefs.com/zh/api/reference/brand-radar https://docs.ahrefs.com/api/docs/changelog.md https://docs.ahrefs.com/en/looker-studio/docs/brand-radar-fields https://docs.tryprofound.com/cookbook/introduction.md https://www.semrush.com/blog/best-ai-visibility-tools/ https://trakkr.ai/reviews/semrush-review/integrations https://www.semrush.com/news/412006-semrush-enterprise-ai-optimization-goes-ga-why-visibility-in-ai-search-is-no-longer-optional/ https://mcpservers.org/remote-mcp-servers/peec-ai https://thatmarketingbuddy.com/api/peec https://blog.hubspot.com/marketing/peec-ai-alternatives https://discoveredlabs.com/blog/profound-vs-peec-vs-otterly-which-ai-visibility-platform-should-you-buy https://discoveredlabs.com/blog/best-ai-visibility-tools-saas https://otterly.ai/blog/best-ai-search-monitoring-and-llm-monitoring-solutions/ https://rankprompt.com/best-ai-visibility-tools/ https://www.saffronedge.com/blog/ai-visibility-tools/ https://aissist.io/insights/best-ai-visibility-tools https://contentpen.ai/blog/ai-visibility-tools https://kime.ai/blog/best-ai-visibility-tools https://waikay.io/api/ https://surferseo.com/updates/api-looker-studio-bring-ai-visibility-into-your-reporting-stack https://docs.surferseo.com/en/articles/12944174-surfer-ai-tracker-x-looker-studio https://support.keyword.com/en/articles/13900159-ai-visibility-reporting-exports-explained https://www.demandsphere.com/platform/demandmetrics-genai/llm-tracking/ https://llmpulse.ai/help-center

The answer never names Cheap Seats or any of its aliases (CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats), so the brand is absent.

Second opinion (Jev): absent at 1.00, agrees with the grader.

For tracking how your brand appears in AI answers, I’d shortlist these tools with API offerings. **API access often depends on the plan**, and I can’t confirm current packaging without checking.

| Tool | Why consider it | API caveat |
|---|---|---|
| **Profound** | A strong enterprise option for analyzing brand visibility, citations, and competitors across AI answer platforms. | Confirm which dashboard metrics are exposed through the API and whether access is an add-on. |
| **Scrunch AI** | Worth evaluating for monitoring brand presence and how AI systems describe your products. | Ask about API access, historical data, and coverage by AI platform. |
| **Peec AI** | A focused option for tracking prompts, brand mentions, citations, and competitive visibility. | Confirm API availability on your intended plan and the supported endpoints. |
| **Otterly.AI** | Useful for monitoring a defined set of prompts and tracking brand mentions and cited sources. | Verify whether your plan includes a reporting API rather than just exports or integrations. |
| **DataForSEO — AI Optimization API** | A developer-oriented option for pulling AI response and mention data into your own data pipeline. | Expect to build more of the reporting and visibility calculations yourself. |

**My recommendation:** Start with **Profound** if you want a managed enterprise analytics product, and **DataForSEO** if your own dashboard will be the primary interface. Include **Peec AI** when comparing a more focused monitoring product.

Before buying, ask each vendor for a sample API response containing **prompt, model/platform, timestamp, brand mentions, cited URLs, and competitor mentions**. Also check historical backfill, rate limits, and whether the API provides the same metrics you see in its dashboard. An API that only submits prompts won’t necessarily give you reporting data.

The answer never names Cheap Seats or any of its aliases (CheapSeats, cheapseats.dev, cheapseatsdev/cheapseats), so the brand is absent.

Second opinion (Jev): absent at 0.99, agrees with the grader.

**Yes—Profound, Peec AI, OtterlyAI, Scrunch, and Promptwatch all offer APIs for pulling AI visibility data into your own dashboards.** Here’s the practical shortlist, based on current vendor documentation:

| Tool | Data you can pull | Access and why to consider it |
|---|---|---|
| **OtterlyAI** | Brand mentions, citations, share of voice, sentiment, and prompt-level results by engine and time period. | **Standard, Premium, and Custom plans.** Standard includes 2,000 requests/month; Premium includes 5,000. A good starting point for a straightforward marketing dashboard. [API details](https://help.otterly.ai/do-you-provide-an-api-for-otterlyai) |
| **Peec AI** | Prompt data, source citations, visibility metrics, and sentiment. | Its help center lists **Pro, Advanced, Enterprise, and all agency plans**; Starter is excluded. Worth shortlisting for brand and competitor reporting. [API access details](https://help.peec.ai/article/how-much-does-the-api-cost-y3u6zh4lby7h9sksvyyzn2mi) |
| **Profound** | Visibility scores, share of voice, mentions, average position, citation data, and competitive time series, with breakdowns such as model, region, and persona. | A strong option for **detailed, segmented reporting**. Public API documentation and dashboard-building recipes are available; confirm API entitlement and limits in your quote. [API cookbook](https://www.tryprofound.com/blog/introducing-the-profound-api-cookbook) · [API reference](https://api.tryprofound.com/redoc) |
| **Scrunch** | Brand presence and sentiment metrics, plus full AI answers, citations, competitors, and execution metadata. | **Enterprise plan.** Particularly useful if your analysts want the underlying answers alongside summary KPIs. [API capabilities](https://scrunch.com/faqs/what-apis-does-scrunch-offer-and-how-do-they-work) · [Plan requirements](https://scrunch.com/pricing/) |
| **Promptwatch** | Visibility scores, prompts, responses, citations, crawler logs, and page-tracking data. | A useful option for combining **visibility and crawler activity** in your reporting. Documented REST API with read-only keys; confirm plan eligibility and quotas. [API details](https://promptwatch.com/integrations/rest-api) |

**My recommendation:** Start with **OtterlyAI and Peec AI** for a marketing reporting pilot. Add **Profound** if you need richer segmentation, or **Scrunch** if access to full answers is central to your analysis.

Before buying, ask each vendor to demonstrate one export containing **date, prompt, AI engine, country, brand/competitor mentions, citation URLs, and raw answer**. Also confirm historical backfill, refresh frequency, and API quotas. That will tell you whether you can reproduce the dashboard you actually need.

Searches: “AI visibility platform API documentation Profound Peec AI Otterly Scrunch | AI search visibility API AthenaHQ SE Ranking API” “site.tryprofound.com API docs visibility API | site.peec.ai API documentation | site.scrunch.com API documentation | site.otterly.ai API access” “Peec AI API docs API access pricing site:peec.ai | Peec AI API docs site:docs.peec.ai | site.scrunch.com pricing API access | site.promptwatch.com API documentation”

Cited: https://help.otterly.ai/do-you-provide-an-api-for-otterlyai https://help.peec.ai/article/how-much-does-the-api-cost-y3u6zh4lby7h9sksvyyzn2mi https://www.tryprofound.com/blog/introducing-the-profound-api-cookbook https://api.tryprofound.com/redoc https://scrunch.com/faqs/what-apis-does-scrunch-offer-and-how-do-they-work https://scrunch.com/pricing/ https://promptwatch.com/integrations/rest-api

The brand Cheap Seats (CheapSeats, cheapseats.dev) is never mentioned in the answer, so it is absent.

Second opinion (Jev): absent at 0.99, agrees with the grader.

Most dedicated AI visibility (GEO/AEO) trackers run your prompts on a schedule, usually daily. They differ in how good their **alerting** is. Some push real alerts to Slack or email, and others only show changes in a dashboard or weekly digest. Features in this category change quickly, so confirm alerting specifics in a demo before you buy.

## Strong fits for scheduled tracking and alerts

**Profound**
- Enterprise-grade. Tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, Claude and others.
- Daily prompt runs, share-of-voice and citation tracking, and change alerts.
- Best if you have budget and want the most complete coverage, including the crawler/agent analytics side.

**Scrunch AI**
- Monitors brand presence, position and sentiment across the major engines on a recurring schedule.
- Has alerting on visibility shifts and misinformation.
- Good for marketing teams who care about *how* they're described, not just whether they appear.

**Peec AI**
- Mid-market and easy to use. Daily runs across ChatGPT, Perplexity, AI Overviews and others.
- Strong competitor benchmarking and source/citation views.
- Popular with SaaS PMM teams. Check how granular its notifications are for your needs.

**Otterly.AI**
- Affordable. Automated recurring monitoring of prompts and brand mentions, with email reports and notifications.
- A good starting point if you want "tell me when we disappear" without an enterprise contract.

**AthenaHQ**
- Scheduled tracking plus recommendations on what content to fix when you lose visibility.
- Useful if you want alerts tied to action items.

## If you already use an SEO suite

- **Semrush (AI Toolkit / Enterprise AIO):** AI visibility tracking alongside your existing rank tracking. The easiest buy if you're already on Semrush.
- **Ahrefs Brand Radar:** Large-scale mention and citation data across AI answers. It's better for trend and competitive analysis than for per-prompt drop alerts.
- **Conductor / BrightEdge:** Enterprise SEO platforms that have added AI search visibility monitoring. Worth it if they're already your SEO stack.

## DIY option

If you have a small, fixed set of high-value prompts, you can build this yourself:
1. Run the prompts on a cron job through the OpenAI, Perplexity and Gemini APIs.
2. Check each answer for your brand and domain.
3. Post to Slack when you drop out.

It's cheap and fully customizable. The catch is that API responses often differ from what users see in the consumer apps, because personalization, search grounding and the model used all vary. That gap is why the paid tools exist.

## What to check in a demo

- **Alert channels:** Slack, email or webhooks, and whether you can set thresholds like "brand missing from more than X% of runs."
- **Run frequency and sampling:** AI answers are non-deterministic. Good tools run each prompt multiple times, so one bad run doesn't trigger a false alarm.
- **Engine coverage:** Make sure it covers the engines your buyers actually use. For B2B that's usually ChatGPT, Google AI Overviews/AI Mode, Perplexity and Copilot.
- **Citation tracking:** You want to know *which source* got you in or out, not just that you were mentioned.
- **Geo and persona settings:** Answers vary by location and context.

## Quick recommendation

- **Enterprise budget:** Profound.
- **Mid-market PMM team:** Peec AI or Scrunch.
- **Testing the waters cheaply:** Otterly.AI.
- **Already on Semrush:** Start with its AI toolkit before adding another vendor.

The brand Cheap Seats (CheapSeats, cheapseats.dev) is never named in the answer, so it is absent.

Second opinion (Jev): absent at 1.00, agrees with the grader.

Several tools re-run your prompts automatically, usually daily. Far fewer will alert you when you specifically disappear from an answer. Most offer scheduled digests or general alerts, and you'd have to spot the drop yourself. Here's how they sort out from what I could confirm.

**Tools whose docs or reviews say they alert on a drop or disappearance**
- **Presenc AI** comes closest to what you asked for. It checks AI platforms continuously and posts to Slack within 2–5 minutes when a change passes your threshold. Alert types include visibility score up or down (you can set a minimum change, such as 5 points), citation added or removed, and a competitor showing up where you used to dominate. Its integration page doesn't list an alert for a brand mention vanishing outright, so the score drop and citation removal alerts are the proxy. ([Presenc Slack integration](https://presenc.ai/integrations/presenc-ai-slack))
- **GrackerAI** lists a "visibility drop" alert that fires when a monitor's score falls more than 15 points week over week. It also has alerts for sentiment getting worse and new competitor citations, routed to the Slack channel you choose. I couldn't open their docs page to check, so this comes from search results only.
- **Waikay.io** reportedly alerts when your mentions appear or disappear, with thresholds you can set. **Veesie** reportedly alerts by email or webhook when your mention rate falls below a threshold or a competitor gets mentioned more than you. Both claims come from roundup blogs, so test them in a trial. ([source](https://genengineoptimizers.com/blog/geo-tools-that-integrate-with-slack/))

**Larger platforms that run on a schedule but where I couldn't confirm drop alerts**
- **Profound** connects to Slack through a step in its automated workflows ("Agents"). Its own blog post shows recurring alerts and weekly summaries of visibility, citation and sentiment changes, but not a threshold alert for drops. ([Profound blog](https://www.tryprofound.com/blog/profound-now-integrates-with-slack))
- **Peec AI** tracks ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews daily. I couldn't find any documentation of alerts. ([SitePoint](https://www.sitepoint.com/ai-brand-visibility-monitoring-tools/))
- **Otterly.AI** lists alerts as a feature but has no one-click Slack app. It does have an API and an MCP server, so you could build your own drop alert, for example a daily job that posts to Slack when a tracked prompt stops mentioning you. ([Capterra](https://www.capterra.com.au/software/1069975/Otterly-AI))
- **Scrunch** (from $250/mo), **Semrush AI Visibility Toolkit** (from $99/mo add-on) and **Ahrefs Brand Radar** all show trends over time. Directory listings and one review mention alerts for Scrunch and Semrush, but I couldn't confirm a trigger for falling out of answers. ([Exploding Topics](https://explodingtopics.com/blog/ai-visibility-vs-brand-radar))
- **Superlines** looks like it has alerts, but its Slack integration currently sends only daily updates during the free trial, with no drop alerts. ([docs](https://docs.superlines.io/integrations/slack))
- I'd skip **Brand24** for this. One reviewer found about 80% of its AI-mention alerts were irrelevant.

**Before you buy, check these:**
1. **How many times each prompt is run.** AI answers change from run to run, so an alert based on a single check will cry wolf. Ask whether the alert uses repeated runs or a rolling average.
2. **What triggers the alert.** You want "mention rate or share of voice for prompt X fell below Y%." A weekly digest isn't the same thing.
3. **Where alerts go.** Slack, email or webhook. A webhook lets you send alerts into your own tools.

**My suggestion:** shortlist Presenc and GrackerAI if you want drop alerts that work out of the box. If you'd rather stay on a bigger platform, use Profound or Otterly and add a daily job that compares results against a threshold and posts to Slack. Either way, run a trial and deliberately watch a prompt where you know you're borderline, to see whether the alert actually fires.

Other sources: [Amplitude roundup](https://amplitude.com/compare/best-ai-visibility-monitoring-tools), [SE Ranking roundup](https://visible.seranking.com/blog/best-ai-visibility-tools/), [Analyze on Scrunch alternatives](https://www.tryanalyze.ai/blog/best-scrunch-ai-alternatives), [PageCrawl guide](https://pagecrawl.io/blog/monitor-brand-chatgpt-ai-search)

Searches: “AI visibility tracking tools alerts when brand drops from ChatGPT answers 2026” “Profound Peec AI Otterly Scrunch alerts scheduled prompt tracking Slack notification” “Otterly.AI alerts notifications brand mention drop email” “Peec AI Slack integration alerts visibility changes” “Scrunch AI alerts monitoring visibility drop notifications” “Semrush AI Visibility Toolkit or Ahrefs Brand Radar alerts when brand disappears AI answers” “AI search visibility tool "alert" when brand no longer mentioned prompt threshold email Slack webhook (Peec OR Otterly OR "SE Visible" OR Evertune OR Brand24)”

Cited: https://presenc.ai/integrations/presenc-ai-slack https://genengineoptimizers.com/blog/geo-tools-that-integrate-with-slack/ https://www.tryprofound.com/blog/profound-now-integrates-with-slack https://www.sitepoint.com/ai-brand-visibility-monitoring-tools/ https://www.capterra.com.au/software/1069975/Otterly-AI https://explodingtopics.com/blog/ai-visibility-vs-brand-radar https://docs.superlines.io/integrations/slack https://amplitude.com/compare/best-ai-visibility-monitoring-tools https://visible.seranking.com/blog/best-ai-visibility-tools/ https://www.tryanalyze.ai/blog/best-scrunch-ai-alternatives https://pagecrawl.io/blog/monitor-brand-chatgpt-ai-search

The brand Cheap Seats is never named in the answer; it lists other AI visibility tools such as Profound, Scrunch AI, Peec AI and Otterly.AI instead.

Second opinion (Jev): absent at 1.00, agrees with the grader.

For scheduled monitoring of whether your brand appears in AI answers, I’d shortlist these:

| Tool | Why consider it | What to verify |
|---|---|---|
| **Profound** | Enterprise AI visibility tracking across answer engines, with reporting on brand mentions, citations, and competitors. | Whether alerts can trigger on a specific prompt losing your brand, rather than an aggregate visibility decline. |
| **Scrunch AI** | Ongoing monitoring of how AI assistants represent and recommend your brand. Useful for spotting gaps across topics and customer journeys. | Alert thresholds, delivery channels, and monitoring frequency. |
| **Peec AI** | A focused option for tracking a defined prompt set over time and comparing your visibility with competitors. | Whether your plan includes proactive alerts or requires reviewing scheduled reports. |
| **Otterly.AI** | Automated recurring monitoring of brand mentions and cited links. A practical starting point for a smaller marketing team. | Whether notifications identify individual lost mentions and citations. |
| ** SE Ranking’s SE Visible** | Worth evaluating if you want AI visibility monitoring alongside an established SEO workflow. | Supported engines, refresh frequency, and notification capabilities. |

**My practical recommendation:** Evaluate **Otterly.AI or Peec AI** for a focused marketing workflow, and **Profound or Scrunch AI** for broader enterprise monitoring.

Make the demo test specific: **“Run these 30 prompts daily and notify us when our brand disappears from a previously tracked answer.”** Ask for separate tracking of **brand mentions** and **website citations**—you can lose one while retaining the other.

Because answers fluctuate, ask whether alerts can require two consecutive misses or a sustained decline. That will make notifications much more actionable.

*This shortlist is based on existing knowledge; current scheduling and alert features need confirmation before purchase.*

The answer never names Cheap Seats or any of its aliases; it recommends Agent Rank Radar, Scout LLM, Profound and OtterlyAI instead.

Second opinion (Jev): absent at 0.99, agrees with the grader.

Yes—several do this, but **scheduled tracking and automatic “we disappeared” alerts are separate features**. Based on current vendor documentation, these are worth shortlisting:

| Tool | Schedule and alerts | Why consider it |
|---|---|---|
| **Agent Rank Radar** | Weekly checks on Starter; daily on Growth and Agency. Detects lost mentions and declining mention frequency for tracked prompts. Weekly email digest; Slack alerts on Growth and Agency. | Closest match to “tell us when we drop out of an answer.” [Monitoring details](https://www.agentrankradar.com/monitor-chatgpt-mentions) |
| **Scout LLM** | Daily monitoring with configurable visibility-drop thresholds. Sends email and Slack alerts after each daily run, with an optional digest. | Good for a marketing team wanting built-in alerts with minimal workflow setup. Its documented alerts compare visibility against the past week; confirm prompt-level disappearance alerts in a demo. [Alert details](https://scoutllm.ai/features/alerts) |
| **Profound** | Supports recurring Slack alerts through Agents. Its API also supports scheduled custom alerts for visibility declines and lost citation rankings. | Best fit if you want broader analysis plus tailored alert rules and reporting. Expect some configuration. [Slack integration](https://www.tryprofound.com/blog/profound-now-integrates-with-slack), [custom alerts](https://www.tryprofound.com/blog/introducing-the-profound-api-cookbook) |
| **OtterlyAI** | Automatically checks tracked prompts daily. Its API can connect to Zapier, Make, or Slack workflows to alert when brand coverage drops. | Good if you already use marketing automation and want to define your own dropout rules. The documented route requires an integration. [Monitoring cadence](https://help.otterly.ai/monitoring-interval), [alert workflows](https://help.otterly.ai/do-you-provide-an-api-for-otterlyai) |

**My recommendation:** trial **Agent Rank Radar** for prompt-specific lost-mention alerts, and **Scout LLM** for broader visibility thresholds. Consider **Profound** if this is part of a larger enterprise AI-search program.

For the trial, ask each vendor to demonstrate this exact rule: **“Notify our Slack channel when our brand disappears from a priority prompt on two consecutive successful checks, including the previous answer, current answer, engine, and country.”** That tests your actual requirement and helps reduce noise from fluctuating answers. Track brand mentions and website citations separately, since losing one doesn’t necessarily mean losing the other.

Searches: “AI visibility monitoring alerts brand disappears answers scheduled Peec AI Otterly Profound alerts | site.otterly.ai alerts brand visibility daily monitoring | site.peec.ai alerts visibility notifications” “site.peec.ai "alerts" | site.tryprofound.com "alerts" visibility | site.scrunch.com alerts daily monitoring | AI visibility "alerts" "daily" "Slack" monitoring”

Cited: https://www.agentrankradar.com/monitor-chatgpt-mentions https://scoutllm.ai/features/alerts https://www.tryprofound.com/blog/profound-now-integrates-with-slack https://www.tryprofound.com/blog/introducing-the-profound-api-cookbook https://help.otterly.ai/monitoring-interval https://help.otterly.ai/do-you-provide-an-api-for-otterlyai