AI Visibility Audit: How to Audit Your Brand's AI Search Presence

By Cory Maki · Aug 12, 2026

When a buyer asks an AI assistant for the best option in your category, it names three or four brands and stops. An AI visibility audit tells you whether you're one of them — and if not, why. Most brands have never run one, which is exactly why the ones that do pull ahead.

What an AI visibility audit is

An AI visibility audit — also called an AI search audit or AI brand audit — measures how AI assistants describe and recommend your brand. It answers four questions: are you named in the answers to your category's buying questions, which competitors are named instead, which sources those answers cite, and how accurately you're portrayed. It is the diagnostic layer of GEO, and you cannot improve AI visibility you have not measured.

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

Why it matters now

The stakes changed when the answer replaced the list. AI-referred visitors also convert several times higher than traditional organic, because much of the evaluation already happened inside the answer. So if competitors are named in your category and you are not, they are being recommended to your buyers before you know the deal exists — and a small number of missed answers can represent a large amount of lost pipeline.

The six things a real audit measures

What	Why it matters
Inclusion	Are you named at all? Binary, and the first gate.
Citation share	Your share of citations vs the competitors named alongside you
Source mix	Which domains the answers cite — Reddit, review sites, your own
Description & sentiment	How you're characterised, including anything inaccurate
Per-engine split	Where you're strong or invisible across each AI engine
Dated evidence	Every finding traced to a specific query, engine, and date

The number the first two roll up to is your citation share.

How to run an AI visibility audit, step by step

1. Build a prompt set. Ten to thirty real buying questions in your category — "best [category] tool for [use case]," "[competitor] alternatives," "is [your brand] any good." Not vanity terms. The audit is only as good as the questions.
2. Run them across engines. ChatGPT, Perplexity, Gemini, Google AI Mode, and Copilot. Each retrieves differently.
3. Score each answer. Record whether you're named, which competitors are, which sources are cited, and the sentiment.
4. Compute citation share. Your named answers ÷ total, and your mentions ÷ all brand mentions.
5. Capture the sources. Flag every Reddit thread and review page — that's where remediation usually points.
6. Re-measure monthly on the same prompts. Direction beats any single snapshot.

The full method is in measuring AI search visibility, and it's the "Audit" step of the ARC Method.

Why one engine's audit isn't enough

Each engine sources differently, so auditing one and assuming the rest tells you little:

• ChatGPT retrieves from Bing's index — if you're missing there, it can't cite you at all (why ChatGPT can't see your website).
• Perplexity leans heavily on Reddit — often ~46% of its top sources (how Perplexity picks sources).
• Google AI Overviews run query fan-out before choosing citations (the mechanics).
• Gemini behaves differently on informational vs recommendation queries (Gemini's split brain).

What a good audit produces

A useful audit ends with a prioritised action list, not a single number: the highest-leverage gaps and what to do about each. Usually that's some mix of off-domain presence (often Reddit), entity work, and citability. If your audit hands you a score and no next step, it wasn't an audit.

DIY, tools, or done-for-you

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

Common audit mistakes

• Vanity prompts instead of real buying questions.
• One engine. ChatGPT-only is already obsolete.
• Undated claims. Answers vary between runs; a finding without a date is worthless.
• Measuring rankings. Position doesn't exist in an AI answer — inclusion and citation share do.

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 your citation share move. Without the baseline, you're guessing. Start with a free AI visibility report.