What the GEO Benchmark database is
For representative brands in each industry, across ChatGPT, Perplexity, Google AI Overviews and others, we run real procurement prompts with multi-model, repeated sampling to measure brand mention rate, citation rate, sentiment and relative position vs competitors into comparable benchmarks.
Metric dimensions monitored
- Brand mention rate: share of relevant answers where the brand appears.
- Citation rate: share cited as a source (harder than mere mention).
- Sentiment: positive / neutral / negative.
- Relative competitor position: rank within your category.
- Per-engine coverage: differences across AI engines.
Data methodology
We use parallel multi-model + 3 independent samples + Wilson statistical correction; samples below threshold (n<30) are flagged 'insufficient data' to reject small-sample inflation. Methodology is public and reproducible, matching Gartner / Ahrefs rigour.
FAQ
How often is benchmark data updated?
Full re-test monthly, tracking how AI-engine algorithm updates affect visibility, with collection window and engine version labeled for reproducibility.
Can my brand be in the benchmark?
Industry reports cover representative brands; to monitor your own brand vs competitors, use SeaSight GEO's diagnostic and monitoring service for a dedicated benchmark dashboard.
Want to know if your brand is 'visible' in AI search?
Use the free SeaSight GEO diagnostic to see in 30 seconds whether ChatGPT / Perplexity recommend you — and who they recommend instead.
Free AI Visibility Audit →