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How do I measure my AI visibility?

You measure AI visibility on three levels, from simplest to most useful. The first is presence: when you ask the major assistants the real questions your customers ask — best X near me, who should I hire for Y — are you named, and how often, across ChatGPT, Perplexity, Google AI and Copilot. The second is readability and signal health: can AI crawlers actually read your site, is your structured data in place, and are your name, address, category and reviews consistent across the web — because these are the levers that change presence. The third, and the one that ties to revenue, is referral traffic: how many visitors arrive from AI assistants, which assistants send them, and whether they convert. The mistake businesses make is obsessing over a single prompt check on one assistant, which is noisy and changes day to day. A better approach tracks a basket of real customer questions across assistants over time, watches the underlying signal health that you can actually control, and measures AI referral traffic landing on your site. That combination tells you not just whether you are visible, but whether your visibility is turning into customers.

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FAQ

Is checking one ChatGPT prompt a good measure?No. A single prompt on a single assistant is noisy and shifts day to day. Track a basket of the real questions customers ask, across several assistants, over time — that is a signal, not a snapshot.
How do I track AI referral traffic?Your analytics can segment visits by referrer; assistants like Perplexity and ChatGPT increasingly send identifiable referral traffic. Watching which assistants send visitors, and whether those visitors convert, ties AI visibility to actual revenue.
Is there an easier way to start?Yes. A free Cited scan measures the signal-health layer you control — readability, structured data and consistency — and shows what to fix first, which is the fastest way to move the presence and traffic numbers.

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