AI Visibility
measured72/100
Frequently Cited · in Observability & APM
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals78/100
Solid fundamentals
Avg Prompt Score
53
across 1050 prompts
AI Share of Voice
53%
across 1039 prompts
Critical Issues
2
critical + high
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.
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.
Datadog is highly likely to be cited by AI engines for observability/monitoring evaluation queries because it has strong third-party review authority (e.g., 725 G2 reviews) and publicly crawlable pricing with specific tiers. The single highest-ROI fix is to ensure first-party evaluation content exists for the most common comparison/evaluation patterns (e.g., explicit “[Datadog] vs [competitor]” pages and FAQPage schema for those queries) so AI engines can cite Datadog directly instead of relying on G2/TrustRadius.
Based on audit of datadog.com · Sep 6, 2026