DeepEval: AI Visibility Report
⚔ DeepEval appears in the Perception Lab: forced-choice runs vs Braintrust →
When buyers ask ChatGPT, Claude, and Gemini about llm & agent evals, DeepEval ranks #9 of 15, a Visibility Score of 19 in LLM & Agent Evals .
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.
Mid-pack eval tool fighting for scraps in a crowded field.
Where it wins. DeepEval earns a 32% mention rate in LLM & Agent Evals, meaning models surface it in roughly one of every three relevant conversations. That foothold is real, even if the rank sits at 9 of 15.
Where it loses. It draws zero first-pick selections, so buyers hear the name but LLMs consistently prefer other tools when forced to commit. Enterprise and feature-driven prompts skip it entirely, cutting off the two buyer segments most likely to drive serious deal flow.
AI-generated analysis of the September 2026 measurements.
ChatGPT 
Claude 
Gemini One of the index's bigger model splits: see where the models disagree →
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 DeepEval. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Enterprise pick · Feature-led ask
Share of DeepEval'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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