AI visibility audit
A clear baseline of brand mentions, citations, competitors, and the pages holding you back.
Discuss this serviceWhat does an AI visibility audit show?
An AI visibility audit examines whether and how your brand appears in a defined sample of AI answers. It records the prompts, engines, dates, cited sources, and technical or content issues behind the findings.
Define the sample first
An audit starts with your product, audience, target markets, and competitors. We agree on a set of questions that reflects actual customer decisions. Branded and non-branded questions are reported separately so a branded query does not overstate your discoverability.
Look beyond a mention
We examine what the answer says, whether it accurately describes your offer, and which sources it references. A brand mention, a citation to your site, and a recommendation are different observations. We keep those distinctions visible and retain evidence for the findings.
Leave with a sequence of fixes
The audit connects answer observations to pages, entity inconsistencies, crawl issues, and missing evidence. Each recommendation describes the issue and an actionable next step. Because answers vary with time and context, the report states its sampling limitations and avoids treating one response as a universal result.
Common questions
Which AI search experiences can you review?
The scope can include ChatGPT, Gemini, Perplexity, Claude, and Google AI search experiences. We agree on the relevant engines and record availability and sampling conditions in the audit.
Is one audit enough?
An audit provides a starting point. Repeated sampling is useful after changes ship, because a single snapshot cannot establish a durable trend or prove causation.
See where to act.
Understand how your brand is described, where the gaps are, and which next step deserves your attention.
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