When buyers ask ChatGPT, Claude, and Gemini about llm & agent evals, Honeyhive ranks #14 of 15, a Visibility Score of 5 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.
One category, near the bottom, no first picks.
Where it wins. Honeyhive holds a foothold in LLM & Agent Evals, appearing in 9.7% of relevant prompts and landing alongside recognized names like Weights & Biases and Arize AI.
Where it loses. At rank 14 of 15 with zero first-pick selections, it trails the field badly, and the models omit it entirely from broad buying questions, budget comparisons, and use-case-specific asks, leaving it visible only at the margins of the one race it runs.
AI-generated analysis of the September 2026 measurements.
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 Honeyhive. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Best overall · Use-case fit · Startup & small team · If you could pick one · Budget & alternatives
Share of Honeyhive'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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