AI Share of Voice
AI Share of Voice is the percentage of relevant AI answers that mention your brand versus competitors. It's the core metric for AI visibility — the number that tells you whether your GEO work is actually moving. Here's how to define it, calculate it, and track it.
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1What AI Share of Voice Is
AI Share of Voice is the percentage of relevant AI-generated answers that mention or cite your brand, relative to all brands mentioned. If you track 20 buyer prompts, your brand appears in some answers, and competitors appear in others, your Share of Voice is your slice of all those brand mentions. It turns the fuzzy question "does AI recommend us?" into a single, trackable number.
2Why It's the Core Metric
Classic SEO has rankings; AI search needs its own scoreboard. Share of Voice is it, for one reason: AI answers are competitive and synthesized. You're not trying to hold position #3 — you're trying to be named when the AI lists options. Share of Voice captures exactly that competitive presence, which is why it beats vanity checks like "we got mentioned once."
It also pairs naturally with mention rate (how often you appear across your prompts) — see how AI visibility monitoring works for how these fit into a monitoring loop.
3How to Calculate It
Worked example
You track 20 prompts across 4 platforms (80 answers). Your brand is mentioned 24 times. Across all answers, brands are mentioned 120 times total. Your AI Share of Voice = 24 ÷ 120 = 20%. Your mention rate = 24 ÷ 80 = 30%.
4Track It Over Time
A single measurement is noise. AI answers shift with phrasing, session, and time, so the value is in the trend, not the snapshot. Keep the prompt set and cadence fixed, log every run, and watch whether your share rises against named competitors. That's the difference between reacting to randomness and managing a real signal — and it's why one-off manual checks in ChatGPT don't cut it.
Track AI Share of Voice automatically
Monitor a fixed prompt set across 7 AI platforms with weekly rescans and competitor comparison.
5How to Improve It
Once you're measuring, the improvement levers are the rest of GEO:
- Win the prompts where competitors are cited and you're not — those gap prompts are your fastest gains.
- Build citable content for those prompts: front-loaded answers, self-contained passages, question-style headings.
- Grow brand mentions — the biggest off-page lever. See the Reddit playbook.
- Fix the foundation — crawler access and structured data, per robots.txt for AI crawlers.
Measure the baseline, pick the gap prompts, ship the fixes, and re-measure. That loop — not a one-time audit — is how Share of Voice climbs.
Frequently Asked Questions
What is AI Share of Voice?
AI Share of Voice is the percentage of relevant AI-generated answers that mention or cite your brand, relative to the total set of brands mentioned. If you track 20 buyer prompts and your brand appears in 6 answers while all brands combined appear 30 times, your AI Share of Voice is 20%. It's the core metric for measuring AI visibility over time.
How is it different from mention rate?
Mention rate is how often you appear across your tracked prompts (6 of 20 = 30%). Share of Voice is competitive — it measures your slice of all brand mentions in those answers. Mention rate tells you presence; Share of Voice tells you dominance relative to competitors. Track both.
How do I calculate AI Share of Voice?
Pick a fixed set of buyer prompts, run them across the AI platforms you care about, and count brand mentions. Your Share of Voice is your brand's mentions divided by all brands' mentions, expressed as a percentage. Keep the prompt set and cadence consistent so the number is comparable week to week.
What's a good AI Share of Voice?
There's no universal benchmark — it depends on your category's competitiveness and how many players AI tends to name. The useful signal is the trend: is your share rising against named competitors over time? Start by measuring your baseline, then set improvement targets relative to it.
Why can't I just ask ChatGPT if it mentions me?
AI answers vary by phrasing, session, personalization, and time, so a single manual check is noisy and unreliable. A trustworthy Share of Voice needs a fixed prompt set run on a schedule across platforms, with results logged — otherwise you're reacting to randomness rather than a real trend.