Share of Voice the percentage of answers you win.

Share of voice in AI search is the percentage of tracked prompts where an AI model mentions your brand, measured against the competitors that appear in the same answers. It is the single clearest number for how visible you are inside ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Prefer measures it across ChatGPT, Gemini, Perplexity and Google’s AI Overviews and AI Mode.

How share of voice is measured#

You measure share of voice in three steps:

• Define the prompt set. Choose the questions your buyers actually ask, from broad category queries to specific comparison and alternative searches.
• Run them across models. Send each prompt to the AI models you care about and record which brands get mentioned, in what order, and with what sources.
• Calculate the share. Divide your mentions by the total brand mentions across the set. Track it week to week so you see direction, not just a snapshot.

Want a rough number before you set up tracking? Our free share of voice calculator does the math from a handful of prompts, in the browser and with no signup.

Bar chart. Competitor A 38%, Acme 31%, Competitor B 19%, Competitor C 12%.

Why share of voice matters in AI search#

In an AI answer, visibility is winner-take-most. The model names a shortlist and the buyer chooses from it: in our September 2026 ChatGPT run of 50 buyer prompts, answers that named brands named a median of six, so you are competing for roughly six slots, not page one of ten links. Being the recommendation, or even just being present, is worth far more than ranking fourth on a page of ten links. A rising share of voice means the model is increasingly likely to put you in front of a buyer at the moment of decision.

The same question, 'what is the best [category] tool?', answered twice. Before the AEO work: the assistant recommends Competitor A (cited from G2) and Competitor B (praised on Reddit), and your brand is not mentioned. After the work: the assistant names Competitor A, Competitor B and your brand, now cited from a comparison guide.

Share of voice and the work that moves it#

Measuring share of voice is table stakes; moving it is the point. The number climbs when you publish extractable, citeworthy content, earn mentions on the sources models trust, and close the specific gaps where competitors are cited and you are not. That is the loop behind generative engine optimization and LLM visibility.

Loop diagram of three steps. 1. Audit: baseline your citation rate, share of voice, and the sources deciding each answer, ending with measurable targets. 2. Monitor: track citations across ChatGPT, Gemini, Perplexity and Google's AI surfaces, next to your GSC, GA4 and AI-referral data. 3. Act: ship comparison content, entity and schema fixes, and authentic off-page proof. The loop repeats and each cycle compounds the last.

How Prefer measures share of voice#

Prefer tracks your share of voice across ChatGPT, Gemini, Perplexity and Google’s AI Overviews and AI Mode, benchmarks it against the competitors named in the same answers, and shows which sources drive the gap inside competitive analysis, then ships the work to close it. Run a free AI visibility audit to see your share of voice today.