AI Visibility
measured26/100
Emerging · in Education & LMS
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals9/100
Weak fundamentals
Avg Prompt Score
15
across 175 prompts
AI Share of Voice
15%
across 175 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Education & LMS
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.
DataCamp is likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (e.g., 604 G2 reviews) and multiple B2B customer stories with measurable outcomes. The single highest-ROI fix is to strengthen first-party evaluation surfaces for AI (especially SoftwareApplication/FAQPage structured data and crawlable brand-aware comparison/pricing pages for “DataCamp vs X” and “DataCamp pricing” queries), since these are the most common patterns where AI needs directly extractable, crawlable evidence.
Based on audit of datacamp.com · May 7, 2026