Measure your share of voice in AI answers
When a buyer asks an AI assistant "what is the best option for X", somebody wins that answer. Share of voice in AI is the simplest strategic metric of the new search era: across the questions that define your market, what percentage of recommendations go to you — and what percentage go to each competitor?
Citatur computes it continuously. You declare your brand and rivals once; every scheduled run then counts who gets mentioned across ChatGPT, Perplexity, Gemini and Claude, and turns it into a share-of-voice breakdown you can put in a board deck. No more forwarding one alarming screenshot around the team — you get the real distribution, its trend over time, and the per-platform splits that show exactly where a competitor is eating your category.
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The metric leadership understands
Percentages against named competitors need no explanation. AI share of voice translates a fuzzy new channel into the competitive language your exec team already speaks.
Mention rank included
First mention wins disproportionate attention. Citatur records not just who appears but who appears first, so a rival consistently outranking you inside answers cannot hide.
Per-platform battle maps
You may lead on Gemini and lose badly on Perplexity. The split view shows where each competitor is strong, so you fight on the fronts that actually need reinforcement.
Trends that expose momentum
A stable 40% share and a collapsing one look identical in a screenshot. Daily and weekly history reveals direction early, while there is still time to respond.
Frequently asked questions
What is share of voice in AI answers?
It is the percentage of brand mentions that belong to you across a set of AI answers, computed against your named competitors. If your market’s buying questions produce 100 brand mentions this week and 32 are yours, your AI share of voice is 32% — and the remaining 68% names exactly who you are losing to.
How does Citatur calculate AI share of voice?
Each tracked question is asked on every platform in your plan, each answer is scanned for your brand and each declared competitor using strict word-boundary matching, and mention counts are aggregated into a distribution per day, per platform and overall. The methodology is deliberately transparent — no proprietary index, just counts you can verify.
Why is AI share of voice more actionable than a visibility score alone?
A visibility score tells you how often you appear; share of voice tells you who wins when you do not. That names the specific competitor gaining ground, on which platform, for which questions — which is precisely the information you need to prioritize content, PR and review-site coverage.
Which competitors should I track?
Start with the two to five brands that appear in your sales deals and comparison searches. Citatur also suggests competitors automatically during onboarding by analyzing your website and market, and every answer additionally reveals unexpected brands the AI recommends, so blind spots surface on their own.
Can share of voice differ between AI platforms?
Dramatically. Each engine retrieves from different sources with different recency: it is common to hold 50% on ChatGPT while a challenger owns Perplexity because their content wins its citations. The per-platform breakdown exists precisely because a single blended number hides these fights.
How do I grow my AI share of voice?
Win the sources. Identify the domains cited most for questions where competitors beat you, secure accurate and favorable coverage there, and publish direct answers to the questions where nobody is entrenched yet. The trend view then tells you within weeks whether each move captured share.
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