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

78

Strong Presence

Avg Prompt Score

38

across 789 prompts

AI Share of Voice

38%

across 789 prompts

Category Visibility

#1

in Observability & APM · of 102

Critical Issues

2

critical + high

Per-stage performance

🔍Discovery
470 category
Cited64%301/470
Share of voice37%avg
Engine consensus58%of engines
Competitors35.4avg/cited
Sentiment—no data
⚖️Evaluation
12 brand-level
Cited100%12/12
Share of voice92%avg
Engine consensus92%of engines
Competitors3.0avg/cited
Sentimentpositive8+ / 7~ / 0−
🛡️Trust
7 brand-level
Cited100%7/7
Share of voice91%avg
Engine consensus90%of engines
Competitors2.1avg/cited
Sentimentpositive3+ / 3~ / 0−
💰Conversion
5 brand-level
Cited100%5/5
Share of voice87%avg
Engine consensus87%of engines
Competitors1.8avg/cited
Sentimentneutral1+ / 5~ / 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 Datadog is visible in

5
  • Observability & APM1 of 102→
  • Developer Tools2 of 406→
  • Error Tracking2 of 43→
  • AI Observability3 of 79→
  • AI-Assisted Code Debuggingnot yet measured→

Brand overview

datadog.com78
datadoghq.com9

Datadog is highly likely to be cited by AI engines for evaluation and conversion queries because it has strong third-party B2B review authority (G2 + TrustRadius + Gartner Peer Insights) and a publicly crawlable pricing surface. The single highest-ROI fix is to strengthen first-party evaluation content for AI (SoftwareApplication/FAQPage structured data and explicit, crawlable “Datadog vs X”/alternatives blocks) so models can cite Datadog directly instead of relying on third-party review sites.

Based on audit of datadog.com · Jul 21, 2026

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