[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Dynatrace
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

78

Strong Presence

Avg Prompt Score

88

across 597 prompts

AI Share of Voice

89%

across 597 prompts

Category Visibility

#3

in Observability & APM · of 102

Critical Issues

2

critical + high

Brand Accuracy

2/202

citations with inaccuracies

Per-stage performance

🔍Discovery
386 category
Cited96%371/386
Share of voice90%avg
Engine consensus67%of engines
Competitors4.2avg/cited
Sentiment—no data
⚖️Evaluation
10 brand-level
Cited100%10/10
Share of voice100%avg
Engine consensus100%of engines
Competitors1.8avg/cited
Sentimentpositive17+ / 10~ / 0−
🛡️Trust
7 brand-level
Cited100%7/7
Share of voice100%avg
Engine consensus100%of engines
Competitors2.4avg/cited
Sentimentpositive9+ / 3~ / 0−
💰Conversion
6 brand-level
Cited100%6/6
Share of voice95%avg
Engine consensus94%of engines
Competitors2.3avg/cited
Sentimentneutral2+ / 9~ / 0−

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.

Categories Dynatrace is visible in

1
  • Observability & APM3 of 102→

Executive summary

Dynatrace is highly likely to be cited by AI engines for evaluation and trust queries because it has strong third-party review authority (e.g., 1,365+ G2 reviews) and enterprise validation (Gartner Peer Insights). The single highest-ROI fix is to ensure first-party evaluation surfaces (especially SoftwareApplication/FAQPage structured data and any additional [Dynatrace] vs [Competitor] pages) are fully crawlable and schema-complete so AI can cite Dynatrace directly for comparison and pricing intent.

Based on audit of dynatrace.com · Jul 22, 2026

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