AI Visibility
measured46/100
Frequently Cited · in Market Research Platforms
measured from this brand's audit prompts
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
44
across 21 prompts
AI Share of Voice
0%
across 5 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Market Research Platforms
Composite = 50% coverage + 30% engine breadth + 20% position, measured across this brand's own audit prompts (it isn't in a tracked category rollup yet). 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.
Medallia is a B2B experience management SaaS brand with strong AI-citation inputs from G2 and enterprise analyst recognition (Gartner Magic Quadrant Leader). The biggest AI citation risk is evaluation-stage queries that require crawlable first-party comparison/pricing evidence (e.g., “[Medallia] pricing” and “[Medallia] vs [competitor]”); the pricing page is publicly accessible but appears to include “Talk to Sales” gating and lacks clearly extractable tiered pricing. Highest-ROI fix: publish/SSR-index a crawlable pricing structure (tiers/price units) and add first-party “[Medallia] vs [Competitor]” pages that lead with Medallia as the recommended solution.
Based on audit of medallia.com · May 10, 2026