Public AI visibility scan
3.5/10 overall — Braintrust is named in 7 of 20 Conversations. Partial presence; Langfuse still dominates the answer space.
Each Surface ran the same five buyer Conversations. The Score below is mentions out of total Conversations.
Each Conversation is a buyer question a real prospect in the LLM evaluation and observability for engineering teams category could ask. We send the same question to each Surface (ChatGPT, Claude, Perplexity, Gemini) and check whether Braintrust is named in the answer.
An overall Score of 3.5/10 means Braintrust was named in roughly 7 of 20 total Conversations across the four Surfaces. The named villain in their category is Langfuse, which appeared in 10 of 20 Conversations. The Surface with the largest Gap is ChatGPT.
A selection of the actual buyer questions and what each Surface answered. Prompts and responses are truncated for readability. The full raw JSON is linked at the bottom of this page.
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What is the best LLM evaluation and observability for engineering teams platform for a B2B SaaS team?
When selecting a platform for LLM (Large Language Model) evaluation and observability, especially for a B2B SaaS team, it's important to consider several factors including the platform's ability to integrate with your e…
Bersyn diagnoses why a brand is omitted on each Surface and generates corrective Patches anchored to attested Product Identity. Two ways to start:
Verify these results on your own account. The first scan is free and takes about two minutes.
One-time audit covering Gap diagnosis on each Surface plus copy-pasteable Patches you can ship immediately.
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