AI Share of Voice Calculator

When a prospect asks ChatGPT or Perplexity a question in your market, how often does your brand appear compared with rivals? The AI share of voice calculator above answers that question in seconds: enter your brand mention count and your competitors' combined mentions, and it returns the percentage of AI answer real estate you currently hold. It is a core GEO (Generative Engine Optimization) metric for any brand tracking its presence in AI-generated responses.

How AI Share of Voice Is Calculated

The formula is straightforward: AI Share of Voice = Your Brand Mentions / (Your Brand Mentions + Competitor Mentions) x 100. For example, if your brand is cited 35 times and competitors combined account for 90 mentions across the same set of prompts, your AI share of voice is 35 / (35 + 90) x 100 = 28%. You collect these figures by running a defined set of target prompts through AI tools such as ChatGPT, Perplexity, or Gemini and recording each mention. The larger and more representative your prompt sample, the more reliable the metric.

Concretely: run 100 prompts relevant to your category, note how many times each brand appears, then plug those numbers into the calculator above.

How to Interpret and Improve Your Result

Benchmark against your organic share of voice first. If you hold 40% of organic clicks but only 12% of AI mentions, you have a GEO gap to close.
Publish authoritative source content. AI models draw on well-structured, frequently cited pages. Long-form guides, original data studies, and FAQ pages with clear answers are systematically over-represented in AI responses.
Get cited on third-party sites your AI trusts. Industry publications, directories, and review platforms that AI crawlers trust act as votes. A mention in a trusted source transfers to AI visibility.
Target question-format prompts. AI share of voice is not distributed evenly. Prompts that ask for recommendations or comparisons generate brand mentions more often than informational queries. Map the prompts where competitors dominate and create content that answers those questions better.
Monitor regularly, not just once. AI model training and retrieval change. A brand that had strong AI visibility three months ago can lose it after a model update. Track share of voice monthly with a stable set of prompts.
Correlate with referral traffic. A rising AI share of voice should translate into more referral clicks from AI tools. If it does not, check that the mentions include a link or a clear brand endorsement rather than a passing reference.

A Benchmark to Keep in Mind

According to Seer Interactive data from September 2025, queries that trigger an AI Overview receive on average 67.8% fewer organic clicks than equivalent queries without one. This figure is indicative and varies significantly by sector and SERP layout, but it illustrates why AI share of voice matters: a growing portion of intent that once converted through organic results now resolves inside the AI answer itself. Owning a larger slice of that answer space is the GEO equivalent of ranking on page one.

If you want to track your AI share of voice over time and connect it to concrete traffic and revenue data, Sorank monitors brand mentions across ChatGPT, Perplexity, and Gemini alongside your traditional SEO rankings.

Frequently asked questions

What counts as a brand mention for this calculator?

Any occurrence of your brand name (or a clear reference to it) within an AI-generated answer counts. A citation with a link, a named recommendation, or a branded example all qualify. Generic references such as 'a tool like yours' do not.

How many prompts do I need to get a reliable AI share of voice figure?

A minimum of 50 prompts covering your main topic clusters gives a usable baseline. 100 or more prompts across different question types and AI tools produces a figure stable enough to track month over month.

Should I track AI share of voice across all AI tools or just one?

Ideally track each tool separately: ChatGPT, Perplexity, and Gemini have different retrieval logic and different user bases. A combined score is useful for a high-level view, but per-tool data tells you where to focus your GEO efforts.