AI Visibility
measured64/100
Frequently Cited · in Observability & APM
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals66/100
Solid fundamentals
Avg Prompt Score
54
across 494 prompts
AI Share of Voice
54%
across 472 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.
Honeycomb is highly likely to be cited for evaluation-stage prompts because it has first-party comparison content (e.g., Honeycomb vs. Datadog) and a crawlable, tiered pricing page. The biggest AI-citation risk is missing/uncertain structured data coverage (SoftwareApplication/FAQPage) and weaker secondary review/analyst surfaces (e.g., TrustRadius/G2/Capterra are present, but enterprise analyst signals like Gartner/Forrester/IDC are not reliably accessible via live checks).
Based on audit of honeycomb.io · Apr 2, 2026