Public scoreboard

AI Recommendation Scoreboard

See who AI recommends, who gets ignored, and what the models actually said. Below is every B2B SaaS company we have scanned publicly across ChatGPT, Claude, Perplexity, and Gemini on 20 buyer questions in their category — with the competitor named in their place and the AI surface where they are weakest.

Note: This public scoreboard is being rebuilt around recommendation evidence. Existing scores remain as secondary historical summaries while Bersyn shifts toward Recommendation Share, Recommended Instead, Model Disagreement, and Evidence — rolled out topic by topic.

We publish every public scan with the full methodology. If your company is here and you want the per-Surface Representation Issue diagnosis with copy-pasteable fixes, the $79 one-time audit at audit.bersyn.com gives you that. Or run a free first scan at the homepage.

Companies scanned
130
Surfaces per scan
4
Conversations per scan
20
Updated
Weekly
Failing Surface
Showing 130 of 130

Methodology

Each scan runs 20 buyer Conversations across the four AI Surfaces using prompts a real category buyer would write. We report what those Surfaces said, not what we wish they had said. The raw scan JSONs are at github.com/gthorr/Bersyn/tree/main/marketing/outreach/scans. If you are one of the companies listed and want to be excluded, email gissur@qualitas.is and we will remove the row.

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