AEO Score
74
Strong Presence
Avg Prompt Score
88
across 668 prompts
AI Share of Voice
90%
across 644 prompts
Critical Issues
3
critical + high
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 evaluation-stage prompts like "How does Dynatrace compare to Datadog?" and "How does Dynatrace compare to New Relic?" because it has first-party comparison pages and publicly crawlable pricing/rate-card content. The single highest-ROI fix is to strengthen Structured Data (SoftwareApplication + FAQPage) and Technical AEO crawlability signals (llms.txt/robots.txt verification) so AI engines can reliably extract product/pricing facts for "How much does Dynatrace cost?" and "What is the best observability platform software for cloud-native application performance monitoring (APM)?".
Based on audit of dynatrace.com · Apr 2, 2026