Learn · The mechanics of AI visibility

There's no Google Analytics for ChatGPT mentions — so measurement has to be built by asking.

Audit your AI visibility — free See how we work

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.

Tracking the Untrackable: How to Measure Your 'AI Share of Voice'

Unlike search rankings, an AI model's answer isn't indexed, logged, or exposed through any dashboard a business can check on its own — the only way to know whether ChatGPT, Claude, Gemini, or Grok mentions a business favorably is to ask the models directly, repeatedly, with the real questions its buyers would use. AI share of voice is the resulting metric: across a defined set of buyer-intent prompts, how often the business is named at all, how accurately, and how it's framed relative to named competitors. This requires systematic, repeatable probing across multiple models rather than a single spot-check, since each model draws on different training data and live retrieval sources and can disagree sharply about the same business. AI HALO's free audit establishes this baseline across six major assistants, and the thirty-day re-scan quantifies the actual lift after the structured-data and citation work is complete — turning an otherwise invisible metric into a concrete, comparable number.

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Questions

Answered.

Why do different AI models describe the same business differently?+

Each model trains on different data snapshots and uses different live-retrieval methods, so one may rely on outdated directory data while another pulls fresher structured signals — producing inconsistent or even contradictory descriptions of the same business.

Is there a tool that automatically tracks AI mentions like a rank tracker?+

Not in the way traditional rank trackers work, since AI answers aren't publicly indexed; accurate measurement requires directly querying each model with defined prompts on a recurring basis and comparing the responses.

What counts as a 'good' AI share of voice score?+

There's no universal benchmark — the meaningful comparison is a business against its own named competitors across the same set of buyer questions, and against its own baseline over time as visibility work takes effect.