--- title: "AI Visibility Tools Ranked: Where Do Their Prompts Come From?" description: "A mention score is only as useful as the questions behind it. I rank AI visibility tools by prompt provenance, repeat runs, engine coverage, and whether they help close a content gap." url: "https://groas.com/post/ai-prompt-tracking-tools-ranked-by-one-q" image: "https://pub-87da24ecbbfc4c3bad6875f3aa013712.r2.dev/generated-images/1b96ddc4-e64b-42d7-9263-5ba41b575549.png" published: "2026-10-14T05:42:29.845Z" modified: "2026-10-14T05:42:29.911Z" --- October 14, 2026 · 9 min read # AI Visibility Tools Ranked: Where Do Their Prompts Come From? [Alexander PerelmanHead Of Product @ groas](https://groas.com/author/alexander-perelman)[LinkedIn](https://www.linkedin.com/in/alexander-433793253/) ![A moderator eagerly surveys a table of blank mannequins while real shoppers pass the window outside, unasked: data from questions no buyer posed.](https://pub-87da24ecbbfc4c3bad6875f3aa013712.r2.dev/generated-images/1b96ddc4-e64b-42d7-9263-5ba41b575549.png) In this article 1. [1. groas: for the business that needs the missing page published](#1-groas-for-the-business-that-needs-the-missing-page-published) 2. [2. Ahrefs and Semrush: for the marketer with a writer ready](#2-ahrefs-and-semrush-for-the-marketer-with-a-writer-ready) 3. [3. Otterly, Peec, and Profound: for the solo operator who knows the prompts](#3-otterly-peec-and-profound-for-the-solo-operator-who-knows-the-prompts) 4. [4. HubSpot AEO: for the HubSpot team watching a fixed list](#4-hubspot-aeo-for-the-hubspot-team-watching-a-fixed-list) Most agencies will not tell you this: the AI visibility score you just paid for may be tracking questions no buyer ever asked. **My pick for a business with no time to act on charts is groas:** it looks for buyer prompts, then turns a missing mention into a page to publish rather than another line on a report. That is the argument behind this ranking. Too many tools build their scores from prompts their own users typed in or a model invented. Those prompts can be useful if you know they reflect buyer questions. If you do not know where they came from, a precise-looking mention score tells you very little. I put groas first for the reader who needs the work done because its SEO & AI Search sprint combines tracking with new pages every day and technical fixes across [all 8 search surfaces](https://groas.com/for-businesses). A nicer chart would not earn that spot. There is a second reason to be suspicious of any single score: the answers move. In one test, 600 volunteers ran 12 prompts 2,961 times. Identical brand lists appeared in fewer than 1 in 100 runs, and the same ordering appeared about 1 in 1,000. **Track a trend, not a single rank.** The engines disagree, too: in a 3.7 million-citation analysis, [91% of cited URLs appeared in only one LLM](https://growthner.com/blog/ai-search-visibility-tools-to-track-your-brand-mentions-in-llms/). Watching 25 hand-picked ChatGPT prompts will not tell you much about what Gemini or Perplexity cites when a buyer asks. I used to tell clients to watch their mention rate. I was wrong. Mention rate without prompt provenance is vanity with a new haircut. I rank these options on four questions: 1. **Provenance:** Do prompts come from search and ads demand, or from user-entered and vendor-generated guesses? 2. **Repeat runs:** Does the tool sample a prompt more than once, or treat one variable answer as a verdict? 3. **Engine coverage:** Does it check ChatGPT, Gemini, Perplexity, and Google AI Overviews, rather than assuming one engine speaks for the others? 4. **Gap output:** Does it identify the missing page or domain and help you act, or only chart the miss? The [IAB’s August 2026 guidance](https://ppc.land/ai-visibility/) puts the disclosure question more politely: vendors should say how large their prompt libraries are, how often they refresh them, and whether queries are synthetic. It treats fewer than 50 queries as exploratory. I would ask those questions before paying for any visibility percentage. ![Magnifying glass comparing invented chat questions with buyer searches](https://pub-87da24ecbbfc4c3bad6875f3aa013712.r2.dev/generated-images/486369d7-b690-4896-94bc-fbed7159eeb5.png) Here is the short version before the receipts. **Provenance decides whether I trust the score; execution decides what I buy.** A search-backed prompt database is more useful for discovery than a list of guesses. A service that publishes the missing page is more useful to a time-strapped business than one that merely spots it. | Ranked option | Where prompts come from | Repeat runs and coverage | What happens to a gap | | -------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------ | | 1. groas, done for you | Buyer demand informs tracked prompts | Continuous tracking, a weekly report, and [8 search surfaces](https://groas.com/for-businesses), including AI engines and Google search | Names the gap, then ships pages and fixes | | 2. Ahrefs and Semrush, SEO suites | [Search-backed databases cited at 199M+ and 289M+ prompts](https://aiseoshift.com/blog/best-ai-visibility-tools-2026/); user-added prompts can run live | Ahrefs covers AI Overviews, AI Mode, ChatGPT, Gemini, Perplexity, and Copilot | Strong discovery and citation data; your team writes the fix | | 3. Otterly, Peec, and Profound, dedicated trackers | Largely prompts you add, with vendor-generated variations | Runs and base-plan engine coverage vary | Fast charts; less help deciding what to publish | | 4. HubSpot AEO, CRM tracker | Roughly [25 prompts you add](https://blog.hubspot.com/marketing/hubspot-vs-semrush-aeo) | [About 10 runs per prompt across three engines](http://sonary.com/content/hubspot-aeo-review/) | Tracks a fixed list, not open-web discovery | ## 1. groas: for the business that needs the missing page published This is for a brand that can see a gap but cannot spare someone to turn it into content. The thing groas does better is straightforward: **it treats a missing mention as a job to finish, not a chart to admire.** Its SEO & AI Search sprint runs new pages every day, addresses the technical fixes holding visibility back, and builds authority on sites the engines trust. The weekly report shows where the brand is named, what moved, and why. There is measurement under that work, not just a promise to write more. groas offers [29 tools for a brand, including tracked prompts, AI answers and citations, share of voice, crawler visits, and referral traffic](https://groas.com/mcp). That gives the team more to work with than a mention count alone: it can connect a prompt gap to the pages, citations, and visits around it, then ship the next fix. You still need to judge whether those prompts represent your buyers. No dashboard gets to make that decision for you. What rules groas out? If you only need an inexpensive chart for your boss, a done-for-you service is overkill. The same goes for a team already publishing daily that only lacks measurement. **Buy this when shipping is the bottleneck.** If the work is already getting done, look at the suites next. ## 2. Ahrefs and Semrush: for the marketer with a writer ready Ahrefs and Semrush rank second because they start with a stronger discovery question than “Which prompts shall we type in?” [Ahrefs Brand Radar models visibility from a search-backed database cited at more than 199 million prompts](https://aiseoshift.com/blog/best-ai-visibility-tools-2026/) across AI Overviews, AI Mode, ChatGPT, Gemini, Perplexity, and Copilot. [Semrush uses a database cited at more than 289 million prompts, updated daily](https://blog.hubspot.com/marketing/hubspot-vs-semrush-aeo); it also suggests synthetic prompts from your domain and location and runs prompts you add live. **Search-backed discovery is their advantage.** It does not mean every suggested prompt is a buyer question, so inspect the list before treating its score as a business metric. Coverage matters here. In one analysis, [only 36 of more than 1,200 brands stayed in the top 100 across four platforms every month](https://growthner.com/blog/ai-search-visibility-tools-to-track-your-brand-mentions-in-llms/). A suite that checks several surfaces is more useful than a tracker that declares victory in one. Ahrefs also separates retrieval from citation: did the model find you and leave you out, or never find you at all? Semrush can tie a missing citation back to recognisable search demand. Those distinctions give a writer somewhere to start. The catch is that the suite does not write the page. There is a bill, too: custom prompts on Ahrefs are a [$50-per-month add-on](https://aiseoshift.com/blog/best-ai-visibility-tools-2026/), Semrush AI visibility runs [about $99 per domain](https://growthner.com/blog/ai-search-visibility-tools-to-track-your-brand-mentions-in-llms/), and Ahrefs visibility runs [$199 per index plus the base plan](https://growthner.com/blog/ai-search-visibility-tools-to-track-your-brand-mentions-in-llms/). That is money well spent only if someone uses what the module finds. If you already live in either suite and have an in-house marketer or writer, stay there rather than buying a fourth login. Give each missing cluster an owner, assign a page, and check it again across engines. **Skip the add-on if nobody will write the missing page within a week.** In that case, you are paying more to describe an unfinished job. ## 3. Otterly, Peec, and Profound: for the solo operator who knows the prompts I understand why these names appear in every roundup. They are quick to start, and their charts are easy to read. Paste in the prompts you want to follow and you can begin watching share of voice without building a reporting system yourself. **Speed is what the dedicated trackers do better.** For someone who already knows the buyer questions and writes their own content, that can be enough. The limitation sits inside the prompt list. These tools largely follow questions you enter, sometimes alongside vendor-made variations. Runs per prompt vary, and base plans tend to cover three or four engines, with other engines sold as add-ons. [Otterly starts around $29 for 15 prompts, Peec around $95 for 50, and Profound around $99 for ChatGPT-only tracking](https://growthner.com/blog/ai-search-visibility-tools-to-track-your-brand-mentions-in-llms/). [Claude, Gemini, and AI Mode can be paid add-ons that double the bill](https://growthner.com/blog/ai-search-visibility-tools-to-track-your-brand-mentions-in-llms/). The entry price and the price of the view you actually want may be different numbers. Nor should you expect three charts to agree. Marketers told Digiday that [three tools given the same prompts returned three different answers](https://digiday.com/marketing/marketers-question-expensive-ai-visibility-tools-as-inconsistent-results-fuel-skepticism/). That makes a tracker a benchmark for a consistent set of questions, not a source of truth about every buyer. Profound makes the expansion cost particularly clear: its [$99 starter covers ChatGPT and 50 prompts; $399 covers three engines and 100 prompts, followed by custom enterprise pricing](https://digiday.com/marketing/marketers-question-expensive-ai-visibility-tools-as-inconsistent-results-fuel-skepticism/). What rules these tools out is the handoff after the chart. They do not, by themselves, give you the retrieval split or publish the page that closes a gap. **If your prompts are guesses, a tidy trend line does not turn them into buyer demand.** Buy a lightweight tracker if you know your 20 money prompts, can check the same set each week, and will do the writing yourself. If you need someone to tell you which page to ship next, keep shopping. ![Chart showing different AI visibility scores for the same brand](https://pub-87da24ecbbfc4c3bad6875f3aa013712.r2.dev/generated-images/7987b334-ef5d-4dfc-af0a-28a6c0c94e66.png) ## 4. HubSpot AEO: for the HubSpot team watching a fixed list HubSpot AEO is a different proposition. It checks prompts you add, capped at [about 25 tracked prompts](https://blog.hubspot.com/marketing/hubspot-vs-semrush-aeo), and runs each [about 10 times across ChatGPT, Gemini, and Perplexity](http://sonary.com/content/hubspot-aeo-review/). That repeat sampling is useful. It does not add Google AI Overviews, AI Mode, or Copilot; refreshes are weekly, and tracking is forward-only. You get a closer watch on a small, known list, not broad discovery. The thing HubSpot does better is its place next to the CRM. Prompt suggestions can draw on customer context that a standalone tracker does not have. If your team already works in HubSpot and wants to monitor questions it knows matter, that is a reasonable use for the tool. Just do not mistake those suggestions for evidence that buyers asked every question on the list. One comparison shows why I rank it below the search-backed suites: in a closed-loop test, [HubSpot showed 0% visibility while Semrush showed a visibility score of 14 with 23 mentions and Ahrefs showed mentions for the same domain](http://sonary.com/content/hubspot-aeo-review/). The tools were not measuring the same universe. **HubSpot’s fixed-prompt view is not open-web discovery.** If those roughly 25 prompts are guesses, $50 a month buys precise tracking of guesses. Keep it if you already pay for HubSpot and need to watch a known set; skip it if you need to find the questions first. I left out enterprise custom platforms and agency-built internal trackers on purpose. They can track thousands of prompts with full API logs, and marketers are already [building internal trackers to curb costs](https://digiday.com/marketing/marketers-question-expensive-ai-visibility-tools-as-inconsistent-results-fuel-skepticism/). But an internal system is not a product most businesses can buy this month. It does not help rank the options in front of this reader. Before paying any vendor, I would run the fixed-prompt method in [_The 30-Prompt Test for AI Search Visibility_](https://groas.com/post/the-30-prompt-test-measure-your-brand-s): use the same 30 buyer prompts, repeat the runs, and check across engines. Then read [_Is AI Prompt Tracking Worth Paying For?_](https://groas.com/post/is-tracking-ai-prompts-worth-paying-for) if you suspect you may not need tracking at all. A free decision not to buy a dashboard still counts as a good decision. **My pick, if you skipped to the end:** ask where the prompts came from before looking at the score. If you are solo, know the buyer questions, and will write the fix yourself, start with a lightweight tracker and watch the trend, not the daily jump. If you have an in-house writer already using Ahrefs or Semrush, add the AI module and give every useful gap an owner. If you have no time to act on a gap list, pick groas. Hand it the gap and the keyboard. I learned the hard way, running accounts by hand at 1am, that the chart was never the work. The page that closed the gap was. ## Frequently Asked Questions ### Why does the origin of the prompts an AI visibility tool tracks matter? Because a precise-looking mention score is only useful if the prompts behind it reflect real buyer questions. Prompts typed in by a tool's own users or invented by a model may track questions no buyer ever asks, so a score built on them tells you very little about your business. ### Should I trust a single AI visibility rank for my brand? No. In one test where 600 volunteers ran 12 prompts 2,961 times, identical brand lists appeared in fewer than 1 in 100 runs and the same ordering about 1 in 1,000. Track a trend over time instead of treating one run's rank as a verdict. ### Can I just watch a handful of ChatGPT prompts and know how my brand shows up in other AI engines? No. In a 3.7 million-citation analysis, 91% of cited URLs appeared in only one LLM. A set of 25 hand-picked ChatGPT prompts will not tell you what Gemini, Perplexity, or Google AI Overviews cite when a buyer asks, so check several engines. ### What should I check before paying for an AI visibility tool? Ask four things: whether prompts come from real search and ads demand or from user-entered and vendor-generated guesses; whether the tool runs each prompt more than once; whether it covers ChatGPT, Gemini, Perplexity, and Google AI Overviews rather than one engine; and whether it helps you close a content gap or only charts the miss. ### What questions should I ask a vendor about their prompt library? Ask how large their prompt library is, how often they refresh it, and whether the queries are synthetic. The IAB's August 2026 guidance treats fewer than 50 queries as exploratory, so those three disclosures should come before you pay for any visibility percentage. ### Is tracking my brand's mention rate enough on its own? No. Mention rate without prompt provenance is described as vanity with a new haircut. If you cannot tell whether the tracked questions represent what your buyers actually search for, the mention rate looks precise but does not measure anything that matters to the business. ### Which AI visibility tool is best when I don't have time to act on the results myself? groas is ranked first for that situation. Its SEO & AI Search sprint treats a missing mention as a job to finish: it publishes new pages every day, makes technical fixes, and builds authority, alongside continuous tracking across 8 search surfaces and a weekly report. Choose it when shipping the fix, not the chart, is the bottleneck. ### Are lightweight AI visibility trackers like Otterly or Peec a good choice? They work if you already know your buyer questions, can check the same prompt set each week, and will write the content yourself. Their limitation is the prompt list: they largely follow questions you enter, and engines like Claude, Gemini, and AI Mode can be paid add-ons that double the bill. ## Pay For Results, Not For Hours Businesses buy the outcome, agencies resell it, and groas answers for it either way. 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