What an AI Search Visibility Audit Is
An AI search visibility audit is a structured check of how — and how often — your brand shows up when people ask AI assistants questions. Instead of measuring keyword rankings on a results page, it measures whether ChatGPT, Gemini, Google AI Overviews, Perplexity, Copilot, and Grok name your brand, link your pages, and describe you accurately when a buyer asks the kind of question you want to win.
The distinction matters because the answer surface has changed. A traditional SEO audit tells you where you rank for a query. An AI search visibility audit tells you whether you are in the answer at all — and if a competitor is standing in the spot you expected to occupy.
Why It Matters Now
More buyers now open an AI assistant before they open a search box. When they do, they usually see one synthesized answer that mentions a handful of brands and cites a handful of sources. If you are not one of them, you are invisible for that query — there is no page two to climb from.
Three things make this hard to eyeball on your own:
- Answers vary by engine. You might be cited often in Perplexity and never in Gemini. A single spot-check tells you almost nothing.
- Answers are non-deterministic. Ask the same question twice and the wording, the brands, and the citations can shift. You need repeated samples to see a real pattern.
- You do not control the sources. An assistant may describe you using a third-party review, a competitor's comparison page, or an outdated listing. Knowing which sources feed the answer is half the audit.
This is the discipline of Generative Engine Optimization (GEO): understanding what AI engines retrieve and cite, then shaping your content so they retrieve and cite you.
What an AI Search Visibility Audit Should Check
A useful audit covers five areas. Skip any one and you get a partial picture.
1. Which engines mention you
Run your priority questions across every assistant your buyers actually use, and record how often each one names your brand. Treat each engine as a separate channel with its own result. Tracking brand mentions across engines over time is what turns a one-off snapshot into a trend you can act on.
2. Share of voice versus competitors
A mention count means little without context. For each tracked question, log which competitors appear alongside you and how frequently. Share of voice — your mentions as a portion of all brand mentions for a query set — is the clearest single number for where you stand.
3. Which sources and citations the engines trust
When an assistant answers, note the pages it cites. You will usually find a repeating cast of sources: a few review sites, a directory or two, some editorial articles, and competitor pages. Those are the sources doing the work. Auditing which citations feed the answers shows you where to earn a mention, where to correct a stale one, and which of your own pages already get pulled in.
4. On-page and technical GEO factors
Engines cite pages they can parse and trust. Check the pages you want cited for the things that make retrieval easier: a direct answer near the top, question-style headings, short self-contained passages, verifiable facts, structured data, and clean server-rendered HTML. This is where an on-page AI Site Audit earns its place — it inspects specific URLs and explains why an engine cited or skipped them.
5. Sentiment and positioning
Being mentioned is not the same as being mentioned well. Read how each engine characterizes you. Are you described as the budget option, the enterprise option, the one with poor support? Positioning drift is a real finding, and it usually traces back to the sources in area 3.
How to Run an AI Search Visibility Audit
A repeatable pass looks like this:
- Build a question set. Write 20–50 real buyer questions across the funnel — category questions ("best X for Y"), comparison questions ("X vs competitor"), and brand questions ("is X any good"). These stand in for the prompts your buyers actually type.
- Pick your engines. Decide which assistants matter for your market. For most B2B and consumer brands that means ChatGPT, Gemini, Google AI Overviews, and Perplexity at minimum.
- Sample, don't spot-check. Ask each question on each engine several times. Non-determinism means one run is noise; a handful of runs is a signal.
- Record mention, position, and sources. For every answer, note whether you were named, roughly where you appeared, which competitors showed up, and every cited URL.
- Score share of voice. Aggregate across the question set to get your mention rate per engine and your share against the competitor set.
- Trace the citations. Group the cited sources. Separate the ones you can influence (your pages, directories, reviews you can request) from the ones you cannot directly change.
- Audit the target pages. For the questions you lose, open the pages you wanted cited and check the on-page GEO factors above. Fix answer placement, headings, structure, and schema first — they are the cheapest wins.
- Log a baseline and set a re-audit date. Save the numbers. Without a baseline you cannot tell whether your next change helped.
How Often to Re-Audit
AI answers move, so a one-time audit ages quickly. A workable cadence:
- Monthly for share of voice and mention rate on your core question set, so you catch drift early.
- After any content change to a page you want cited — re-audit that page's questions specifically to confirm the change moved the needle.
- Quarterly for a full pass, including a fresh look at which sources the engines now trust, since that cast rotates over time.
Doing this by hand is possible but slow. Running dozens of questions across several engines, several times each, every month, is where most manual audits quietly die.
How Brytic Helps
Brytic automates the two halves of this work. The AI Site Audit handles the on-page side: point it at a URL and it explains, in plain terms, why AI engines cite or skip that page, with a Deep AI Audit for a closer look at structure, sources, and schema. Alongside it, ongoing brand monitoring and citation tracking run your question set across engines on a schedule, so share of voice and the trusted-source list stay current instead of going stale the day after you check.
If you want to see where you stand before committing to anything, start with the Free Scan — a free AI visibility audit of your domain, no signup required. When you are ready to track it continuously, plans run from Starter ($89) to Growth ($269) to a custom Enterprise tier; the details are on the pricing page.
Start With a Free Scan
You cannot fix what you cannot see. Before you rewrite a single page, find out how the assistants actually describe you today — run a free AI visibility scan of your domain, read the verdict, and use it as the baseline for everything above.