How to Track Share of Voice in AI Search
Share of voice turns a vanity number into a competitive position. You are not mentioned 40 percent of the time; you are second behind one specific rival.
Track Share of Voice in AI Search
TL;DR
Share of voice in AI search is your visibility relative to competitors for the same questions. It is the metric that turns "we are mentioned 40 percent of the time" into "we are second, behind one specific competitor, by a measurable gap." Tracking it means measuring not just your own appearances but everyone's, across the same prompt set and models, then watching how the distribution shifts.Why share of voice beats raw mentions
A raw mention rate has no context. Forty percent could be category-leading or fourth place depending on who else shows up. Share of voice supplies the context by measuring the whole field at once. It also matches how AI search actually behaves: our cross-category research found that AI search is winner-take-most, with the top brand capturing most of the visibility and the median close to invisible. In that environment, your absolute number matters less than your position relative to the leader.
How to track it
- Use one stable prompt set of real buying questions so comparisons hold over time.
- For each answer, record every brand mentioned, not only yours.
- Calculate each brand's share as its weighted appearances divided by the total, ideally weighting recommendations above passing mentions.
- Rank the field and note your position and the gap to the leader.
- Repeat on a schedule and watch whether the gap widens or narrows.
Our guide to monitoring competitors in AI search covers acting on the standings.
Setting realistic targets
In a winner-take-most category, aiming to overtake an entrenched leader overnight is the wrong target. A better one is closing the gap to the brand directly above you, or owning share of voice for a specific slice of the category where you can become the default answer, then expanding. Set targets against the field you actually face, not an abstract 100 percent.
Frequently asked questions
What is share of voice in AI search?
It is your visibility relative to competitors for the same questions: the proportion of AI mentions or recommendations in your category that go to you versus everyone else. It converts raw numbers into competitive position.
How do I calculate AI share of voice?
Run one stable prompt set across your models, record every brand mentioned in each answer, and divide your weighted appearances by the total across all brands. Weighting recommendations above passing mentions makes it more meaningful.
What is a good share of voice?
It depends on your category's concentration. In winner-take-most categories the leader takes most of the share, so a realistic goal is closing the gap to the brand above you or dominating a specific niche, rather than an abstract target.
Renown is an AI visibility platform that tracks how AI models talk about your brand across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.
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