Public AI visibility scan
2/10 overall — Beam appears in roughly 4 of 20 buyer Conversations across the four Surfaces. The named villain in their category is Modal.
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 serverless GPU platform for ML inference category could ask. We send the same question to each Surface (ChatGPT, Claude, Perplexity, Gemini) and check whether Beam is named in the answer.
An overall Score of 2/10 means Beam was named in roughly 4 of 20 total Conversations across the four Surfaces. The named villain in their category is Modal, which appeared in 16 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 serverless GPU platform for ML inference platform for a B2B SaaS team?
Choosing the best serverless GPU platform for machine learning (ML) inference for a B2B SaaS team depends on several factors, including ease of use, scalability, cost, integration capabilities, and specific requirements…
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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