Definition
An AI visibility audit is a diagnostic that measures whether AI engines like ChatGPT, Gemini, Claude, Grok and Perplexity mention, cite and recommend a company for the questions its buyers actually ask. A good audit reports rates from repeated prompt samples, not a single screenshot.
What a good audit delivers
These are the components that separate a measurable audit from a one-off impression. Use them as a checklist when evaluating any provider.
A structured portfolio of real buying questions, grouped by intent: informational, comparison, best-provider, local and reputation.
Mention rate, recommendation rate and citation rate measured across engines with repeated samples, plus competitor share of voice.
Technical, entity, content and external-source actions ordered by expected impact, so the findings lead to work that matters.
Who runs audits
This portal is an independent reference and does not sell audits. The directory lists recommended AEO agencies, by country, that do — each reviewed against public criteria.
Common questions
Mention rate, recommendation rate, citation rate, sentiment, prominence and competitor presence, measured across repeated prompt samples rather than a single answer.
The engines that shape discovery in the relevant market, typically ChatGPT, Gemini, Claude, Grok, Perplexity, Copilot and Google AI Overviews.
No. AI answers are probabilistic and vary by engine, session and phrasing. An audit establishes a measurable baseline and a prioritized plan; it does not promise a fixed placement.
An agency that publishes its methodology, measures statistically and is transparent about scope. The directory on this portal lists agencies that meet those public criteria.