AI Brand Audit: What It Is and What a Good One Includes

By Cory Maki · Aug 12, 2026

"How do I audit my brand's visibility in AI search?" is one of the most common questions brands ask right now — and most of what gets sold as an audit is a screenshot and a guess. Here is what an AI brand audit actually is, and what a rigorous one includes.

What an AI brand audit is

An AI brand audit measures how AI assistants describe and recommend your brand — whether you are named in answers to your category's buying questions, which competitors are named instead, which sources those answers cite, and how accurately you are portrayed. It is the diagnostic layer of GEO: you cannot improve AI visibility you have not measured, and most brands have never checked.

It is not a keyword-ranking report with "AI" in the title. AI answers do not work like rankings — they name a few brands and stop — so the audit has to look at the answers themselves.

What a good audit includes

1. A real prompt set. Ten to thirty genuine buying questions in your category, not vanity terms. The audit is only as good as the questions.
2. Multiple engines. ChatGPT, Perplexity, Gemini, Google AI Mode and Copilot each retrieve differently — a brand can be visible in one and absent from another. A single-engine check is misleading.
3. Inclusion and competitive share. Whether you are named, and your citation share against the competitors named alongside you.
4. The source breakdown. Which domains the answers cite. If Reddit and review sites dominate, that changes the entire remediation plan — see why AI cites Reddit over brand content.
5. Description and sentiment. How you are characterised, including anything inaccurate — being named wrongly can be worse than being absent.
6. Dated, traceable evidence. Every finding should trace to a specific query, engine, and date. AI answers vary between runs, so undated claims are worthless.

What it should produce

A useful audit ends with a prioritised list, not a single number: the highest-leverage gaps and what to do about each — usually some mix of off-domain presence, entity work, and citability. The methodology is in measuring AI search visibility; the fix sequence is the ARC Method and the 90-day roadmap.

DIY vs done-for-you

You can run a credible audit yourself with a spreadsheet and an afternoon — the manual method is in auditing your AI visibility. Tools automate the tracking over time; the ones that break down Reddit citations are useful here. Or you can have it done: a free AI visibility report runs your prompt set across five engines and returns exactly the breakdown above.

The point of an audit

An audit is not the goal — it is the baseline. Its value is that everything after it becomes measurable: you make a change, re-run the same prompts, and watch the citation share move. Without the baseline, you are guessing.