What is an AI visibility audit?

What is an AI visibility audit?

An AI visibility audit maps where a business shows up across every surface a customer can ask: Google results, the Maps pack, AI Overviews, ChatGPT, Gemini, Perplexity and voice assistants. It differs from a classic SEO audit, which checks rankings and technical health on one surface, and from a dashboard, which reports numbers without diagnosing why they happen or what to do next.

A classic SEO audit inspects your website and your rankings: crawl errors, page speed, titles, links. Necessary work, and this audit includes it, but it describes exactly one surface. A dashboard fails in the opposite direction: it streams numbers at you, positions, impressions, sessions, without ever saying why a number moved or which fix would move it. An AI visibility audit starts somewhere else entirely: with the question your customer asks. It asks that question on every surface, records who gets named and works backwards to the reason.

The surfaces are the point. In BrightLocal's 2026 Local Consumer Review Survey, 45% of consumers now ask AI tools for local business recommendations, up from 6% a year earlier. Those customers get one or two names back, not a page of links, and no rank tracker on earth tells you whether either name is yours.

What does it check?

An AI visibility audit checks four things: whether you appear when real customer questions are asked on each surface, whether the facts about your business agree everywhere they are published, what your competitors get named for that you do not and what is structurally missing from your site and profiles that keeps answer engines from citing you.

• The question battery.Real questions in your category and your neighborhoods: “plumber open Sunday”, “best florist in Brookside”, the kind we collect on our answers pages. Not keywords. Questions, phrased the way a person actually asks them.
• Surface by surface presence. Each question goes to Google, the Maps pack, AI Overviews, ChatGPT, Gemini, Perplexity and a voice assistant, and what comes back gets recorded. Being named in AI-written answers follows different rules than ranking, so every surface gets its own read.
• Whether your facts agree. Name, address, phone and hours, everywhere they appear: your site, your profiles, the directories. When sources disagree, answer engines hedge or skip you for a competitor whose facts line up.
• What competitors get named for. Which questions in your category already have an answer, and which signals plausibly earned it: review volume and recency, consistent citations, pages that actually answer the question. That list is your scoreboard and your to-do list at once.
• What is structurally missing. The quotable entity paragraph that tells machines plainly what you are, schema markup that is absent or broken and Google Business Profile gaps: categories, photos, hours, unanswered reviews.

What do you get at the end?

The deliverable is a written report in plain English: what is broken, what it is likely costing you and a fix list ranked by impact against effort, followed by a walkthrough call so nothing needs decoding. The report is yours to keep whether or not you hire anyone to act on it.

Every finding takes the same shape: what is wrong, why it matters, what fixing it involves. The list is ordered so the cheap wins sit on top and the slow structural work sits below them, clearly labeled as slow. The walkthrough call exists because a report you don't fully understand is a report you won't act on, and an unacted-on report helps nobody.

Then the report walks out the door with you. Work the list yourself, hand it to your developer or hire us by the hour. Nothing in it is written to lock you in, which is rarer in this industry than it should be.

Free check vs full audit

The free check is a snapshot: a handful of real questions asked across the major surfaces, 60 seconds to run, headline findings emailed within minutes. The full audit is the map: every surface, the why behind every gap and a prioritized fix list. Both exist so you never buy blind.

Run the free checkfirst, always. If it comes back clean, congratulations, keep your $500 and get back to work. If it finds gaps, you can decide about the audit with evidence in hand instead of a salesperson's word for it. Either way you learn something true before spending anything.

What does an AI visibility audit cost?

At Octopolis an AI visibility audit costs $500, fixed, delivered in five business days with a walkthrough call. Implementation is optional at $100 per hour, approved in advance, and most businesses need 10 to 20 hours to work their list. There is no retainer and no contract, before, during or after.

The pricing page has the long version, though there honestly is no long version: one fixed number for the map, one hourly number for the fixes, nothing recurring. If you are still sorting out which discipline covers which surface, our AEO vs GEO vs SEO guide untangles the acronyms first.