AI Visibility
measured72/100
Frequently Cited · in Observability & APM
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals74/100
Solid fundamentals
Avg Prompt Score
38
across 791 prompts
AI Share of Voice
38%
across 791 prompts
Critical Issues
4
critical + high
Brand Accuracy
1/599
citations with inaccuracies
How AI Visibility breaks down
in Observability & APM
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.
Per-stage performance
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.
Categories Datadog is visible in
5Brand overview
Datadog is highly likely to be cited by AI engines for evaluation and trust queries because it has strong third-party review authority (e.g., 736 G2 reviews) and enterprise analyst presence (Gartner Peer Insights page exists, plus Datadog is publicly positioned as a Gartner Magic Quadrant Leader). The biggest remaining citation risk is conversion-stage “pricing” and evaluation-stage “vs/alternatives” queries where AI can only cite what it can reliably crawl and extract from first-party pages—so the highest-ROI fix is to ensure pricing and evaluation content are fully crawlable/SSR and backed by evaluation-focused FAQ/structured data.
Based on audit of datadog.com · Oct 14, 2026