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Learn · The boardroom case

AI share of voice is replacing clicks as the metric that tells a CMO who is actually winning.

A digital tablet showing a web analytics dashboard with graphs and charts.

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Replacing the CMO Dashboard: Tracking AI Share of Voice over Traditional Clicks

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.

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Questions

Answered.

How is AI share of voice actually measured?+

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.

Can this metric be tracked continuously like a traditional dashboard?+

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.

Why would a CMO report this to a board instead of click data?+

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.

$29–$780/mo
what monitoring tools charge to report your AI visibility
$1,500–$50k/mo
what GEO agencies charge to execute — ongoing retainer
One investment
what AI HALO asks to do the work + a 30-day proof re-scan

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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