AI Search Audit: How to Audit What AI Says About Your Brand

By Cory Maki · Aug 12, 2026

An AI search audit measures how AI engines — ChatGPT, Perplexity, Gemini, and Google's AI Overviews — describe and recommend your brand when someone asks about your category. It answers three blunt questions: Do they mention you at all? Is what they say accurate? And which sources are they pulling from to decide?

You'll see the same thing called a few names — AI brand audit, AI mentions audit, AI brand check, or AI visibility audit. They all mean the same exercise: checking your presence in AI answers the way you'd once have checked your Google rankings. Here's exactly what one covers, how to run it, and what to do with the result.

What an AI search audit checks

A real audit looks at five things. Skipping any of them gives you a number without a reason.

What it measures	The question it answers	Why it matters
Presence / share of voice	How often are you named vs competitors for your buying questions?	If you're absent, nothing else matters yet
Accuracy	Is what AI says about you correct and current?	Wrong facts get repeated across every engine
Sentiment	Is the framing positive, neutral, or damaging?	AI can quietly steer buyers away
Citation sources	Which pages/sites does AI cite to talk about your category?	Tells you where to earn visibility (often Reddit, not your site)
Gaps	Which buying questions do you lose, and why?	This is your prioritized to-do list

The output isn't a vanity score — it's a map of where you're winning, where you're invisible, and which sources are deciding the answer.

Why an AI brand audit matters now

Buyers are asking assistants the questions they used to type into Google — "best [category] for [use case]," "is [brand] any good," "alternatives to [competitor]." The AI gives one synthesized answer, and most people never scroll to a list of ten links. If you're not in that answer, you're not in the consideration set — and you won't see it happening in your analytics, because there's no click to measure. An audit is how you make the invisible visible before it costs you deals.

It also compounds. Because engines lean on the same underlying sources, a wrong or missing fact doesn't stay in one place — it echoes across ChatGPT, Gemini, Perplexity and Google AI Overviews at once. Catching it early is far cheaper than unwinding it later.

How to run an AI search audit (the short version)

You can do a baseline yourself in an afternoon:

1. List your 10 real buying questions — the ones a prospect actually asks ("best [category] for [segment]," "[competitor] alternatives," "is [you] legit").
2. Run each across the engines — ChatGPT, Perplexity, Gemini, Google AI Overviews. Record, for every answer: who gets named, what's said about you, and which sources are cited. Screenshot with dates.
3. Score it — your share of voice (named / total), accuracy, sentiment, and the sources driving each answer. Flag where competitors appear and you don't.
4. Read the sources, not just the ranking. If a competitor wins because a Reddit thread or a review page names them and you're absent there, that's the fix — not more pages on your own site.

For the full framework — how to weight each dimension and turn it into a prioritized plan — see the ARC Method for auditing AI search visibility.

Manual vs. automated AI brand audits

A manual audit is the most accurate way to baseline, because you read the actual answers and sources. Automated AI brand audits (and monitoring tools) do the same thing at scale — running your prompts across engines on a schedule and tracking citation share over time — which is what you want once you're actively working on visibility and need to see movement. Start manual to understand your situation; automate to monitor it. The tools don't change the method; they just run it continuously.

What to do with the results

An audit only pays off if it points at actions. The pattern is almost always the same:

• Absent from the answer? Earn presence where AI actually looks for your category — usually third-party sources like Reddit and review sites more than your own pages.
• Described wrong? That's a source problem, not a prompt problem. Correct the underlying sources and firm up your entity and Knowledge Panel so engines resolve you correctly.
• Losing specific questions? Build the content and citations that answer exactly those questions, in the places AI trusts.

That's the whole loop: measure how AI sees you, find the sources deciding it, and go influence those sources. It's the core of generative engine optimization.

Get your AI visibility audit

If you'd rather see your results than run the whole thing by hand, I'll do the baseline for you. The free AI visibility report shows how the major engines currently describe and recommend your brand, who's beating you, and the sources driving it — the same audit above, done for you. If you want help acting on it, here's how to work with me.