Datadog: AI Visibility Report
When buyers ask ChatGPT, Claude, and Gemini about llm & agent evals, Datadog ranks #12 of 15, a Visibility Score of 7 in LLM & Agent Evals (and appears in 2 categories of the index).
These rankings are measured from what the three models know from training, not a live web search. The live-web grounded surface is rolling out across the index. Methodology.
Datadog fills out lists in ops categories, nothing more.
Where it wins. Its best score is 7.2 in LLM & Agent Evals, where enterprise-framed prompts pull it in, and it earns a 14% mention rate in Incident Management, enough to stay on the board.
Where it loses. A 0% first-pick rate across both categories means AI models reach for PagerDuty or Arize AI before Datadog surfaces, and in LLM & Agent Evals it is invisible across six of the most purchase-intent prompt themes, including best overall and use-case fit.
AI-generated analysis of the September 2026 measurements.
ChatGPT 
Claude 
Gemini Being named is not the same as being recommended. Each mention is graded endorsed (a strong pick), listed (a neutral option), or caveated (named with a reservation).
Share of each theme's answers that mention Datadog. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Best overall · Use-case fit · Startup & small team · Feature-led ask · If you could pick one · Budget & alternatives
Share of Datadog's mentions where the AI models name this brand in the same answer. That is the real competitive set in the AI channel.
ChatGPT Claude Gemini Being named is not the same as being recommended. Each mention is graded endorsed (a strong pick), listed (a neutral option), or caveated (named with a reservation).
Share of each theme's answers that mention Datadog. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Startup & small team · Enterprise pick · Feature-led ask
Share of Datadog's mentions where the AI models name this brand in the same answer. That is the real competitive set in the AI channel.
Scores are measured from real AI answers, refreshed monthly. Methodology.
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