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Methodology

Technical deep-dives into how AI Pulse measures share-of-answer and verifies PI-backed claim defensibility. Written for brand and compliance leaders who need to understand what we measure and how.

Share-of-Answer Measurement

How we measure mention rate, ranking position, and citation frequency across ChatGPT, Claude, Gemini, and Perplexity to quantify your brand's visibility in AI answers.

  • Query set design for patient and HCP intent
  • Provider-level tracking across LLMs
  • Mention rate and ranking position metrics
  • Citation frequency and source attribution
  • Drift detection over time

PI-Backed Claim Defensibility

How we verify AI-generated claims against prescribing information, categorizing findings as Supported, Ambiguous, or Not-in-PI for compliance review.

  • Semantic matching of AI claims to PI sections
  • Supported vs Ambiguous vs Not-in-PI classification
  • Citation quality heuristics
  • Workflow for Medical/MLR review
  • Retest verification after fixes

Related Reading

Product: AI Pulse

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Case Studies

See methodology in action with real examples

Glossary

Key terms for GEO and LLM monitoring

How to Measure Share-of-Answer

Practical guide to getting started

Pharma AI MonitorAI Pulse

AI Pulse is the monitoring layer for AI-driven customer journeys. Track share-of-answer, verify claims, and govern fixes.

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