How we measure AI visibility.

What we measure

For a fixed set of category questions, we record what each AI answer engine actually says. Three numbers come out of every run:

• Share of AI Voice: how often a brand is named in the answers, as a share of the answers analyzed for that engine.
• Mention rate: the same named rate, per brand, per engine.
• Citation rate: how often a brand's own domain is cited as a source in those answers.

Engines we query

Each question is asked of every engine below, on its own schedule.

How often it runs

Standard engines (ChatGPT, Gemini, Perplexity and Google AI) run weekly. The heavier models (Claude and Grok) run monthly. Each panel is a rolling 30-day window, so it reflects each engine's most recent runs.

The questions we ask

The full category prompt set is fixed and public, so the measurement is reproducible:

1. best AI visibility tracking tools
2. tools to track brand mentions in ChatGPT
3. how to monitor how my brand appears in AI answers
4. best tools to track brand mentions across AI search engines
5. best generative engine optimization tools
6. AEO tools to track AI search visibility
7. tools to measure share of voice in AI answers
8. how to track citations in Perplexity and ChatGPT
9. software to monitor LLM brand mentions
10. best tools to track ChatGPT and Gemini brand visibility
11. best AI brand monitoring software
12. how to track competitor visibility in AI search

Sample size and honesty

Each brand's Share of AI Voice is measured over the fixed prompt set across every engine, so higher-volume engines carry more weight in the average. We publish the numbers exactly as the engines produced them, unflattered. The point is an accurate read of how AI answer engines treat each tool.