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A traditional marketing dashboard measures impressions, clicks, and rankings on a search results page, but an increasing share of buyer research now happens inside a conversation with ChatGPT, Claude, Gemini, or another assistant that never generates a click at all, since the answer is delivered directly. A CMO relying solely on legacy analytics is blind to whether their brand is even mentioned in that conversation, let alone recommended over a competitor. AI share of voice measures how often, how favorably, and how accurately a business is named when real buyer questions are put to these models across categories relevant to the business. Establishing that baseline requires actually probing the models the way a buyer would, then addressing what surfaces: incomplete structured data, missing or unclear entity information, or AI crawlers blocked from the site entirely. A one-time diagnostic followed by remediation and a re-scan gives a CMO a defensible, board-ready metric that reflects where research behavior has actually moved, rather than reporting on a channel that increasingly undercounts real influence.
Invest in your AI Halo →Questions
By asking multiple AI models the specific questions real buyers would ask in a category, then recording how often, how accurately, and how favorably a given business is mentioned relative to competitors across those responses.
It can be measured at intervals such as an initial audit and a 30-day re-scan to prove lift, though it is fundamentally a diagnostic-and-fix exercise rather than a live streaming metric like page views.
Because click data increasingly misses the growing share of research happening inside AI conversations that never produce a click, meaning a board relying only on clicks is working from an incomplete picture of buyer influence.
Proof & data
Most AI-visibility tools only watch — they report where you are absent and stop there. AI HALO does the work that changes the answer, then re-scans to prove it.
Measured live across ChatGPT · Claude · Gemini · Meta AI · Grok · DeepSeek — we ask the models your buyers’ real questions, before and after.
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