Signal
Defined agent win-rate measurement
You define agent win rate for your catalog and measure it with a fixed prompt set across ChatGPT, Gemini and Perplexity, reporting a range with stated sampling rather than a single confident number.
Per-platform status
Where a platform documents relevant behavior, its status and source are shown. Undocumented platforms show "unknown" - honest unknowns, never invented.
| Platform | Status | Notes | Source |
|---|---|---|---|
| ChatGPT | Unknown | Not documented by this platform. | - |
| Gemini / Google AI Mode | Unknown | Not documented by this platform. | - |
| Perplexity | Unknown | Not documented by this platform. | - |
| Copilot | Unknown | Not documented by this platform. | - |
| Claude | Unknown | Not documented by this platform. | - |
Evidence and sources
This signal is typed hypothesis (Low confidence).
This is a hypothesis (our own inference); no external source is cited.
How to act on this
Write a win-rate definition and sample size, run a fixed prompt set against each engine on the same day, and report a range, not a bare point figure.
Related checklist items