What Is Share of Voice in AI Search?
Share of Voice in AI search is the percentage of a brand's mentions in AI-generated answers relative to all tracked brands on the same prompts. Here's how it's calculated and why it matters more than a raw mention count.
Share of Voice in AI search is the percentage of a brand's mentions or citations in AI-generated answers relative to the total mentions of all tracked brands (including competitors) across the same set of monitored prompts. It's one of the core metrics used to measure GEO performance.
If a category-relevant prompt is asked 100 times across ChatGPT, Perplexity, and Gemini, and a brand is named in 30 of those responses while its five tracked competitors are named a combined 70 times, that brand holds roughly 30% Share of Voice for that prompt set.
How it's different from raw visibility #
Visibility Score answers "how often does my brand show up at all?" Share of Voice answers a sharper competitive question: "of all the times any brand in my category shows up, how much of that attention is mine?" A brand can have a moderate Visibility Score but a strong Share of Voice if its competitors are being mentioned even less often — or vice versa, a high Visibility Score that still trails competitors badly on Share of Voice if the whole category gets mentioned frequently.
Why it matters more than a simple mention count #
A single number — "we were mentioned 40 times last month" — is meaningless without context. Was that a lot or a little? Compared to whom? Share of Voice forces the comparison that actually matters commercially: whether an AI model is more likely to recommend you or the competitor a buyer would otherwise have chosen.
How Share of Voice is typically calculated #
- Define a prompt library — a set of realistic, category-relevant questions buyers might ask an AI assistant.
- Define a competitor set — the specific brands being tracked alongside your own.
- Run the prompts across target AI engines on a recurring schedule (daily or weekly).
- Count mentions per brand across all responses.
- Divide your brand's mentions by total mentions across the whole tracked set.
A worked example #
Springtex, a manufacturer client tracked by PandaClaws, reached a reported industry-leading 17% AI visibility position, with a Share of Voice roughly 34 times larger than its next-closest tracked competitor in the same prompt set — meaning that when an AI model was asked a manufacturing-sourcing question relevant to Springtex's category, it was overwhelmingly more likely to name Springtex than any single named competitor. See a similar result for a DTC brand in How Simon Miller Went From an 11% AI Visibility Baseline to 8x the Competitor Average in 90 Days.
FAQ #
Is a higher Share of Voice always better?
Generally yes, but it should be read alongside sentiment. High Share of Voice paired with negative or inaccurate framing is a different (and more urgent) problem than low visibility.
How often should Share of Voice be re-measured?
Most GEO platforms update it on a rolling weekly basis, since AI model outputs can shift meaningfully as new content gets indexed.
Does Share of Voice vary by AI engine?
Yes — a brand can have a very different Share of Voice on ChatGPT versus Perplexity versus Gemini, since each system weighs sources differently. Tracking needs to be done per-engine, not as a single blended number, to be useful. See PandaClaws vs. Profound for how engine coverage differs across GEO platforms.
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