AI Visibility
measured16/100
Emerging · in Learning Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals48/100
Some gaps
Avg Prompt Score
7
across 298 prompts
AI Share of Voice
7%
across 298 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Learning Management
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.
ClassMarker is a B2B online exam/testing platform and already has meaningful AI citation signals via G2 (32 reviews, 4.4/5). The biggest risk for AI engines is evaluation-stage citation for “ClassMarker vs competitor/alternatives” and conversion-stage citation for pricing—because first-party comparison pages and crawlable pricing details are not clearly discoverable/indexed from the domain.
Based on audit of classmarker.com · Sep 1, 2026