AI Visibility
measured16/100
Emerging · in Observability & APM
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals9/100
Weak fundamentals
Avg Prompt Score
9
across 166 prompts
AI Share of Voice
9%
across 166 prompts
Critical Issues
4
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.
Dash0 is likely to be cited for evaluation-stage observability queries because it has a live G2 review surface (42 reviews on G2) and a publicly crawlable pricing page with specific per-unit prices. The biggest AI-citation risk is missing/unclear structured evaluation signals (SoftwareApplication/FAQPage/robots/llms.txt not verifiable via search) and limited secondary review/analyst coverage (no evidence found for Capterra/TrustRadius/Gartner Peer Insights/analyst mentions). Highest-ROI fix: implement/verify SoftwareApplication + FAQPage structured data on key evaluation pages and ensure AI crawlers can access them (plus add/confirm TrustRadius + Gartner Peer Insights profiles if not present).
Based on audit of dash0.com · May 6, 2026