AI recommendation board
How AI answers when a buyer asks which authentication platform to use for a B2B SaaS product. We asked ChatGPT, Claude, Gemini and Perplexity the same five buyer questions and counted, from their own answers, who gets named, who gets recommended first, and who is left out. Every number links to the verbatim answer.
| Company | Named in | Recommended first | State |
|---|---|---|---|
| Auth0 | 15/20 | 10/20 | |
| Okta | 10/20 | 0/20 | |
| Firebase Auth | 9/20 | 0/20 | |
| Clerk | 8/20 | 1/20 | |
| WorkOS | 8/20 | 1/20 | |
| Supabase Auth | 4/20 | 1/20 | |
| Stytch AI recommends Auth0, AWS Cognito and Clerk instead | 2/20 | 0/20 | |
| SuperTokens AI recommends Auth0, AWS Cognito and Firebase instead | 2/20 | 0/20 | |
| Kinde AI recommends Auth0, Okta and Firebase Auth instead | 1/20 | 1/20 | |
| Frontegg AI recommends Auth0, Amazon Cognito and Okta instead | 1/20 | 0/20 | |
| Hanko AI recommends Auth0, AWS Cognito and Okta instead | 0/20 | 0/20 | |
| Permit AI recommends Auth0, AWS Cognito and Okta instead | 0/20 | 0/20 |
Sorted by how many of the 20 buyer conversations named each company, then by how often it was named first. Counts only, no score.
These companies were named in the answers above but have not been run through the full five-question scan yet.
What Bersyn measures
For a market like Authentication platforms for B2B SaaS, Bersyn asks the buyer questions people actually ask, across ChatGPT, Claude, Gemini and Perplexity, several times each — then reports how many of those recorded answers named each company, which other companies were named, and what the assistants cited. Every count keeps its denominator.
Bersyn is being rebuilt around verified measurement, and self-service purchases are closed while that work is in progress.
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