AI Visibility
measured18/100
Emerging · in Insurance Tech
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals53/100
Some gaps
Avg Prompt Score
18
across 153 prompts
AI Share of Voice
18%
across 153 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Insurance Tech
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Medallion is likely to be cited by AI engines for evaluation-stage queries because it has a meaningful G2 presence (16 reviews visible on its G2 seller page) and first-party evaluation content like “Medallion vs self-serve software” with quantified outcomes. The biggest citation risk is conversion-stage queries (“Medallion pricing”) because the pricing page does not show public tiers/prices and appears to be quote/talk-to-us oriented.
Based on audit of medallion.co · Aug 31, 2026