Ragas: AI Visibility Report
When buyers ask ChatGPT, Claude, and Gemini about llm & agent evals, Ragas ranks #8 of 15, a Visibility Score of 21 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.
Ragas lives and dies in one arena, and it's losing.
Where it wins. A 33% mention rate in LLM & Agent Evals keeps Ragas in the conversation among 15 competitors, and its strongest foothold is with startup and small teams where eval budgets and tooling choices are still fluid.
Where it loses. Rank 8 of 15 with zero first-pick selections means buyers hear the name but route their trust elsewhere, and the complete absence from Feature-led ask prompts suggests Ragas cannot yet articulate a product capability story that stands on its own.
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 Ragas. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Feature-led ask
Share of Ragas'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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