Benchmarks
Who is winning AI answers in your category — brand SOV ranking plus your own mention-rate trend.
AI Visibility → benchmarks ranks share of voice between you and your tracked competitors over the lookback window: one question — "who is winning AI answers in my category?" — answered as a picture instead of a research project.
The SOV view
- Brands (yours + tracked competitors) are ranked by mention share over the lookback window, with mention counts, average position and positive-sentiment split per brand.
- SOV is zero-sum: your gains are someone's losses. A rising share for a competitor is a falling share for you even when your absolute mention count is flat.
- The time series on this page is your own mention-rate trend; per-brand history and an engine breakdown of SOV are not available today — compare engines via the metrics page's per-engine rollups instead.
How to react
- A competitor pulling away — open the citation table: they are usually being cited more, not just named more. Compare the pages of theirs engines cite with your own for the same prompts; the structural difference is the playbook.
- New entrant appearing — add them to Competitors (with aliases) so SOV and every gap analysis starts accounting for them.
- Flat lines everywhere — your category's answers may be stable; shift attention to expanding the prompt set to new buying-journey stages instead of re-running the same questions.
Honest measurement
Share of voice counts only finished runs of the current method. Runs still in progress and legacy sampled data are left out. When you report internally, note which engines the share covers: scraped engines show the real product's answer, API engines an approximation of the consumer app. See Data sources.