⚔ Humanloop appears in the Perception Lab: forced-choice runs vs Braintrust →
When buyers ask ChatGPT, Claude, and Gemini about llm & agent evals, Humanloop ranks #11 of 15, a Visibility Score of 9 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.
Humanloop exists in one race and is losing it.
Where it wins. It does register in LLM & Agent Evals, earning a 13.9% mention rate inside a competitive 15-tool field, which at least confirms models know the product exists.
Where it loses. Ranked 11th with zero first-pick selections, it gets passed over whenever a buyer wants a concrete recommendation, and the models have no answer for it on use-case fit or small team questions, which is where purchasing decisions actually get made.
AI-generated analysis of the September 2026 measurements.
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 Humanloop. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Use-case fit · Startup & small team
Share of Humanloop'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.
We rerun the index every month. Drop your email and pick what to watch in LLM & Agent Evals: the whole category or specific brands. Free, unsubscribe anytime.