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
38
across 789 prompts
AI Share of Voice
37%
across 780 prompts
Critical Issues
3
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 evaluation queries because it has strong third-party review authority (notably G2) and publicly crawlable, tiered pricing. The single highest-ROI fix is to add/expand first-party, brand-led evaluation pages ("Datadog vs X" / "Datadog alternatives") that are clearly crawlable and structured for AI comparison extraction.
Based on audit of datadog.com · Oct 18, 2026