The comparison decision

Use a common prompt panel, platform scope, market, date range, and missing-data policy for every competitor.

Evidence-led comparison method

  1. Define competitors and aliases before extraction
  2. Collect successful answers and preserve failed or unavailable observations separately
  3. Measure coverage and position within each Prompt Group
  4. Review Sentiment, product descriptions, and citations at the snapshot level
  5. Map repeated competitor advantages to pages, entities, evidence, or external sources

Competitor example

A competitor may have fewer mentions but appear in high-intent comparison prompts with authoritative citations. That pattern can matter more than a larger total generated by generic prompts.

Evidence to retain for competitive analysis with generative AI search data

Keep these fields with the decision:

  • prompt
  • market
  • platform
  • competitor
  • answer evidence
  • cited URL
  • observed difference
  • hypothesis
  • owner
  • retest date

Limits and UnderAI's role in competitive analysis with generative AI search data

AI answers do not reveal the ranking algorithm or prove why a competitor appeared. Treat source and page gaps as hypotheses to test.

UnderAI combines configured competitor tracking, Platform Overview metrics, Answer Snapshots, and citation records within the same project scope.

Sources and methodology