AI Visibility
measured68/100
Frequently Cited · in Observability & APM
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals74/100
Solid fundamentals
Avg Prompt Score
87
across 555 prompts
AI Share of Voice
88%
across 555 prompts
Critical Issues
4
critical + high
Brand Accuracy
1/176
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.
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.
Dynatrace is highly likely to be cited by AI engines for observability evaluation queries because it has strong G2 presence (1,371 reviews, 4.5★) and first-party comparison pages like “Dynatrace vs. Datadog.” ([g2.com](https://www.g2.com/sellers/dynatrace?utm_source=openai)) The single highest-ROI fix is to strengthen Structured Data coverage (SoftwareApplication/FAQPage/ratings) and ensure it’s consistently crawlable across the key evaluation pages, since schema evidence was not found via live search while other pillars are strong.
Based on audit of dynatrace.com · Oct 25, 2026