How to Audit Your Brand's AI Visibility (Free Framework)
Auditing your brand's AI visibility means checking three things: whether AI Overviews, ChatGPT, Perplexity, Gemini, and Copilot mention you at all for your core buyer queries, whether what they say about you is accurate, and whether your site is technically structured for those systems to read it correctly.
This is the manual version of what a proper AI visibility audit checks — worth running by hand at least once so you know what you're actually looking for, whether or not you ever automate it.
Step one is the query list, and it's the part most people rush. Write down 10 to 20 real questions your buyers ask before they hire or buy — not your brand name, the underlying need: "best [service] for [industry] in [city]," "how much does [service] cost," "is [category] worth it." This is the same list good AEO content planning starts from, because it's the actual language buyers use, not the keywords a tool suggests.
Step two is running every query through every engine by hand: Google (checking specifically for an AI Overview and whether you're cited in it), ChatGPT, Perplexity, Gemini, and Copilot. For each result, record three things — are you mentioned at all, are you cited with a link or just named in passing, and who shows up instead of you when you don't appear.
Step three is scoring accuracy separately from presence, and this is the step people skip entirely. Where you do appear, is the pricing right? The service area? Years in business, what you actually offer? Being described inaccurately is a worse problem than not being mentioned, because it actively steers a buyer toward the wrong expectation — and once a model has picked up a wrong fact, it can keep repeating it for a while.
Step four is a technical check, since presence and accuracy both depend on it: does the site have schema markup (Organization, Service, FAQPage at minimum), clean semantic HTML a crawler can read without executing JavaScript, and — optionally, since adoption is still low — an llms.txt file. This is the mechanical layer that determines whether you can be read correctly in the first place, independent of what the content says.
Step five looks off-site, because generative engines weigh third-party description more heavily than self-description: search your own brand name alongside "reviews," and check whether what third parties say about you is present and agrees with your own claims. Silence here is itself a finding — no reviews, no forum mentions, no press, means nothing for a generative engine to cross-reference and trust.
Turn the results into a priority list by pattern: no mentions anywhere points to a content and structure gap; mentioned but inaccurate points to a consistency gap — conflicting facts about your business somewhere on the web that need to be found and fixed; mentioned accurately but consistently after competitors points to an authority gap that only off-site work closes. Each pattern needs a different fix, and running the audit is what tells you which one you actually have.