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Measuring AI visibility

Every claim about AI visibility rests on how it was measured: a defined set of questions, run repeatedly, across named platforms, with mentions and citations kept apart.

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What this topic covers

That is harder than it sounds. Answers are probabilistic, engines disagree with each other, and a single screenshot proves almost nothing. Referral data in GA4 tells you what happened after someone reached your site, not what happened inside the answer that sent them.

These guides cover the measurement layer end to end: how tracked prompts are built and grouped, what mentions and citations each tell you, what visibility platforms measure well and where their limits are, how to read answer engine traffic in GA4 without overclaiming, and how to decide between a one-off audit and ongoing tracking.

See your own numbers first

The AI Visibility Audit applies everything on this page to your brand: a real tracked prompt set, mentions and citations separated, competitor context, and a sequenced plan for what to fix first.

See what the audit covers