AI Visibility
measured23/100
Emerging · in Learning Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
9
across 162 prompts
AI Share of Voice
9%
across 162 prompts
Critical Issues
4
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.
Learn Amp is moderately strong for AI citation because it has a meaningful G2 presence (48 reviews shown) and multiple first-party competitor comparison pages (e.g., “Docebo vs Learn Amp”, “360 Learning vs Learn Amp”). The biggest risk is evaluation-stage citation quality: ensure your pricing and product pages are fully crawlable/SSR for AI crawlers and add/verify SoftwareApplication + AggregateRating/Offer structured data so AI engines can confidently cite pricing and product details.
Based on audit of learnamp.com · Aug 30, 2026