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How to measure your AI visibility

AI has no public search-volume tool. Measuring visibility means asking the models the questions your buyers ask — repeatedly.

5 min read

Unlike Google, AI assistants don't publish rankings, impressions, or search volume. So measuring your AI visibility means simulating your buyers: asking each assistant the questions a real customer would ask, and recording whether — and how — your brand shows up.

The three things worth tracking

  • Mention rate — how often you're named at all across a set of buyer questions.
  • Citation rate — how often the answer links to your site as a source.
  • Share of AI voice — your mentions versus competitors' for the same questions.

Why you sample, not spot-check

A single question asked once tells you almost nothing — answers vary by phrasing, date, and randomness. A trustworthy measurement asks many buyer-relevant questions, across multiple phrasings, sampled several times, ideally with the model grounded in live web results rather than stale training memory.

What a good score looks like

There's no universal pass mark, but the useful signal is direction and comparison: are you improving over time, and how do you stack up against the competitors the models actually name? A brand that appears in 60% of relevant answers is in a very different position than one that appears in 5%.

Squoze scores this as a transparent 0–100 AI Visibility Score and tracks it over time, so you can prove the lift after you act.

See where you stand in AI search

Run a free scan to see how often ChatGPT, Claude, Gemini, and Perplexity recommend your brand — and who they name instead.

Run a free scan
Squoze
We measure AI answer visibility against your configured prompt set and selected providers. We track trends over time — not fixed rankings in any AI system.