AI Visibility
measured10/100
Emerging · in Risk, Compliance & GRC
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals9/100
Weak fundamentals
Avg Prompt Score
9
across 162 prompts
AI Share of Voice
9%
across 162 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Risk, Compliance & GRC
Composite = 60% coverage + 40% engine breadth, 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.
Learning Pool is highly likely to be cited for evaluation-stage shortlist queries because it has strong G2 presence (156–157 reviews, ~4.4★) and clear enterprise positioning (LinkedIn authority, multiple customer story pages with quantified impact). The biggest AI-citation risk is evaluation queries that require first-party comparison and pricing evidence—your site appears to lack crawlable first-party “[Brand] vs [Competitor]” pages and does not surface public tiered pricing in crawlable form, forcing AI to rely on third-party comparisons instead of citing Learning Pool directly.
Based on audit of learningpool.com · May 6, 2026