Worked example: AI share of voice with real tracking data
We track prompts about AI search and AI visibility tools, with 18 brands in the competitor set. These were the 30-day mention counts for the most-mentioned brands.
Semrush110.2k mentions
Otterly96.3k mentions
Ahrefs89.2k mentions
Profound87.9k mentions
Peec AI54.1k mentions
Scrunch25.7k mentions
Step 1: Calculate mention share
All 18 brands together received about 538,000 mentions. Semrush’s share of voice is 110,200 ÷ 538,000 × 100, which is about 20.5%.
On the same math, Otterly holds about 17.9%.
Step 2: Calculate citation share
Now apply the formula to citations. The 18 brands’ domains received about 108,500 citations, and our domain received 19,719 of them.
That’s a citation share of about 18.2%, slightly above Semrush at about 17.7%. So the order on citations isn’t the order on mentions, which is why the variant label matters.
Step 3: Split by platform
In our tracking data, a brand’s share of voice can differ several-fold between AI engines in the same month. An overall number hides a gap that size.
If ChatGPT is your weakest platform, a ChatGPT visibility tracker shows which prompts favor competitors there.
What the example shows
Citation vs mention shareA high citation share with a low mention share means AI engines trust your content but don’t connect it to your brand name.
Share of voice vs visibility scoreShare of voice and visibility score can order brands differently. Otterly is second on mention share but fourth on visibility score.
One blended shareOne blended share hides the platform where you lose the most ground.
Source: Ansvisor tracking data, September 15 to October 14, 2026. Most mention counts are rounded in the dashboard, so the totals are approximate.
How to measure AI share of voice, step by step
1. Competitor setFix the competitor set. Pick 5 to 20 brands that buyers compare you with, and keep the list stable.
2. Unbranded promptsBuild a set of 50 to 200 unbranded prompts: discovery questions, category searches and comparisons.
3. PlatformsPick the platforms: ChatGPT and Gemini, Google AI Overviews and AI Mode, and Copilot. Add Claude or Perplexity if your buyers use them.
4. Repeated runsRun each prompt several times per period and count every brand mention.
5. Brand namesNormalize brand names. Merge product names and spellings into one brand, and exclude generic word matches.
6. Share per platformCalculate share per platform and per topic. Report the overall number last.
Our guide on how to measure AI visibility covers prompt sets and cadence in more detail.
How to measure share of voice in ChatGPT and Google AI Overviews
Treat each one as a separate channel with the same prompts.
ChatGPTIn ChatGPT, count the brands named in each answer.
Google AI OverviewsIn Google, first check whether an AI Overview appears at all.
Google’s documentation on AI features says AI Overviews and AI Mode may use different models and techniques, so their links will vary. Report them separately, even when the totals match.
To see which rivals win specific prompts, follow our guide to tracking competitors in ChatGPT and AI search.
Pitfalls that distort AI share of voice
The competitor listChanging the competitor list moves every number. Add one big brand and everyone’s share drops, even if the answers didn’t change.
Common-word brand namesBrand names that are also common words need matching rules. Otherwise every generic use counts as a mention.
Single runsSingle runs mislead. A SparkToro study, reported by Search Engine Journal, found AI brand lists repeat in under 1% of runs. Mixed mentions and citationsDon’t mix mentions and citations. Report them as separate shares.
Branded promptsPrompts that contain your brand name inflate your share. Keep them in a separate group.
Cross-tool comparisonsEach tool uses its own prompts and formula, so 10% in one tool isn’t 10% in another.
A mention in a list of weaknesses still adds to your share. Read the answers behind any big move.
What is a good AI share of voice?
There’s no universal target, because your share depends on how many brands you track. With 18 brands in our set, the leader held about 20% of mentions.
Two comparisons beat a fixed number.
Gap to the category leaderThe first is your gap to the category leader on each platform.
Your own trendThe second is your own trend on high-intent prompts over several months.
Track each competitor’s share too. If a rival gains several points on comparison prompts, look closely at the sources AI engines cite for them.
How to increase your AI share of voice
Direct answersPublish direct answers to the comparison and category prompts where competitors appear and you don’t.
Your brand on cited pagesOn pages that already get cited, name your brand next to the topic in headings and intros.
Third-party sourcesEarn mentions on the third-party sources AI engines cite in your category, such as review sites and forums.
The recheckRecheck the same prompts after two to four weeks to see whether your share moved.
Citations deserve attention too. Seer Interactive found brands cited in AI Overviews earned 35% more organic clicks than uncited brands, though it couldn’t prove cause.
How Ansvisor helps you measure AI share of voice
FAQ
What is AI share of voice?
AI share of voice is the percentage of brand mentions in AI-generated answers that belong to your brand, for a defined prompt set and competitor list. It shows where you stand against competitors in AI search tools such as ChatGPT and Google AI Overviews.
How do you calculate AI share of voice?
Divide your brand mentions by the total mentions of all tracked brands, using the same prompts and period on the same platforms. Multiply the result by 100. You can apply the same formula to citations or to position-weighted mentions, but label which version you report.
How do I measure my brand’s share of voice in ChatGPT and Google AI Overviews?
Run the same prompt set in ChatGPT and in Google Search, and record every brand named in each answer. Calculate share of voice for each platform separately. In our tracking data, a brand’s share of voice can differ several-fold between AI engines in the same month.
What is a good AI share of voice?
There’s no universal good number, because your share depends on how many competitors you track. Compare yourself with the category leader and with your own trend. A rising share on high-intent prompts matters more than a high total.
How do I start monitoring my share of voice in AI search?
Pick 50 to 100 buyer prompts, a fixed list of competitors and the platforms your audience uses. Run the prompts weekly, count mentions per brand and calculate share of voice per platform. A tracker automates the runs and keeps the history.
AI Overviews
AI Mode
Copilot
Perplexity
Claude