A free AI visibility audit, built on real answers.

What the audit shows

The audit answers one question with real data: when buyers ask AI about your market, are you in the answer?

• Your share of the answers. How many of the answers name you, and how many link one of your pages, shown with a range so you can see how sure the figure is.
• The brands named instead. Every brand the engines named on your topics, with its share on the same scale as yours.
• Your topics, one by one. Where you lead, where you are missing, and who leads each topic.
• The sites the engines cite. The domains the answers link most, yours marked. These are the reviews, lists and publications that shape what the engines say.
• Answers in full. A few of the actual answers, so you can read how an engine talks about your market in its own words.
• What AI crawlers see. Whether the crawlers behind these engines can read your site, from the setup exploration that runs before the audit.

Why an audit needs real answers

Search for a free AI visibility audit and you will find dozens. Most of them do not ask an AI anything about your market. In October 2026, Orbit Media ran its own site through 18 ungated audit tools and got scores from 28 to 100. Across the 14 tools that publish their method, technical setup made up 46% of the score on average, content 33%, the actual AI answers 19% and off-site factors 2% (Orbit Media, "We Audited 100 AI Visibility Audits"). Most of those tools that do run prompts write them from your own website rather than from what buyers ask.

Technical checks matter: an engine cannot cite a page its crawler cannot read. But a score that is mostly technical tells you about your HTML, not about whether ChatGPT recommends you. Our view is simple. An audit called AI visibility should be built from AI answers, on questions your buyers would ask, with the competitors those answers actually name.

How it works

1. Create an account and confirm your email.
2. Add your domain. Vercatus reads your site the way AI crawlers do and works out what you sell and who you compete with.
3. Topics are built from your market: the questions buyers ask about your category, comparisons and alternatives, grouped into topics.
4. The questions are asked live on ChatGPT, Google AI Overviews, Google AI Mode and Perplexity, with web search on, the way people use them.
5. The result appears on your setup page within minutes: your share, the brands named instead, the cited sites and the answers.

What any AI visibility audit should include

Whether you use our audit, another tool or an agency, and whether it is sold as an AI visibility, AEO or GEO audit, hold the result to the same standard. The IAB's August 2026 framework, Measuring Visibility in the AI Era, notes that more than 20 companies sell AI visibility tools and give different answers for the same brand. Ask these questions of any audit you are shown:

1. Were the answers real? Collected from the engines, in the app or with web search on, not simulated or scored from your HTML.
2. Whose questions? Written from what buyers ask, including comparisons and alternatives, not generated from your own pages.
3. How many distinct questions? One question asked ten times is closer to one answer than to ten.
4. Named, cited and recommended kept apart? A mention, a link and a top pick are different results.
5. The right competitors? The brands the answers actually named, not a list someone guessed.
6. The cited sources? Which pages the engines read, so you know where to be.
7. Access checked separately? Whether crawlers can read your site is a fix of its own, not a share of a score.
8. How sure is each figure? A range, or at least the number of answers behind it.

Run a basic audit yourself

You can get a rough picture in an afternoon without any tool.

1. Write twenty to thirty questions a buyer would ask before shortlisting: "best [category] for [type of company]", "[competitor] alternatives", "[you] vs [competitor]", "[category] pricing", "[category] that integrates with [tool]".
2. Ask each in ChatGPT, Perplexity and Google (the AI Overview and AI Mode), in a logged-out or fresh session, with web search on.
3. Log every answer in a sheet with these columns: question, engine, brands named in order, your brand named (yes/no), your page cited (yes/no), cited domains.
4. Count. For each brand, the share of answers that name it. For each domain, how often it is cited. The domains at the top are where your next effort goes.

Two warnings. Answers change from one ask to the next, so treat differences of a few answers as noise. And the exercise is a snapshot: it cannot tell you whether a change you make next month worked.

After the audit

If AI crawlers cannot read your site, fix that first; the free check shows which ones are blocked and why. If they can, the audit tells you where you stand, and the next questions are why the leaders are named and what to change. A plan adds tracking over time on every engine, the reasons behind each answer, the exact changes to make and a verdict on each one. Your audit's answers stay as the first point in your history.

The audit's limits

• It covers three topics on four engines. A plan covers more of both.
• It is one snapshot. Week-to-week movement needs tracking.
• It shows where you stand, not why. The reasons and the changes to make come with a plan.
• Once per domain, and up to 2 per company email domain.