AI Citation (Share of Voice) measures how often your brand or website appears as a source or mention in answers generated by AI. It tracks not clicks but 'how frequently you get cited in AI answers,' making it a core performance benchmark in the GEO era.
Why a New Metric Is Needed
In traditional SEO, search rankings and inbound traffic defined success. But when AI summarizes answers for users, the rules change. Even without a click, being cited in the answer is exposure and trust in itself.
- More users finish their search after reading only the AI answer.
- In that moment, exposure depends on whether you get cited, not on rank.
- So you measure "how often AI mentions you across a specific set of queries."
Read it alongside existing metrics like CTR and conversion rate to see the full picture.
How to Measure It
- Define a core question set and query multiple engines repeatedly: ChatGPT, Gemini, Perplexity, Google AI Overviews, and more.
- Tally the rate at which your brand or domain is mentioned or cited in the answers.
- Calculate your relative share against competitors.
- Answers vary by model, generation, and timing, so repeated measurement and trend tracking are essential.
| Item | What It Measures |
|---|---|
| Citation frequency | Number of times you appear in answers |
| Share of voice | Relative share versus competitors |
| Trend | Direction of change over time |
Where to Start Raising Your Share
Citations ultimately come from content worth citing.
- Build a clear structure that answers the question directly.
- Stack trust signals with EEAT.
- Improve machine readability with structured data.
- Run Answer Engine Optimization and content SEO in parallel.
Note
238lab tracks your brand's AI Citation share by repeatedly measuring answers across multiple AI engines. Trend monitoring, not a one-off check, is the key. Design SEO and GEO together to capture both citations and traffic at once.