How do you measure competitor visibility in AI answers?
Measure competitor visibility by computing the share of priority prompts in which each peer is mentioned, recommended, or cited, segmented by engine and intent stage. The result is a per-competitor leaderboard that shows exactly where each rival is ahead, behind, or absent.
Detailed answer
The base metric is recommendation share: of the answers that contain any peer-set brand, what percentage contain each one. Pair it with mention share (broader appearance) and citation share (source-level reference) for a complete picture.
Segment matters. Aggregate visibility is a vanity metric; per-engine and per-prompt-cluster visibility is actionable. A competitor that beats you 3:1 on Perplexity for high-intent prompts but loses on Gemini for top-of-funnel prompts requires a very different response than one that beats you everywhere.
Key takeaways
- 1.Compute recommendation, mention, and citation share per competitor
- 2.Segment by engine and prompt cluster
- 3.Track movement monthly to see the trajectory, not just the snapshot
- 4.Map each competitor's strength to a specific intent stage
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