AI recommendation board
We tested how AI answers when a buyer asks which search & retrieval tool to use for a B2B SaaS product. Each company is scanned on its category-representative questions. 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 |
|---|---|---|---|
| Meilisearch | 11/20 | 1/20 | |
| Mendable AI recommends Algolia instead | 2/20 | 1/20 | |
| Orama AI recommends Elasticsearch, Algolia and Meilisearch 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.
What Bersyn measures
For a market like Search & Retrieval, 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.
See where Bersyn is nowBersyn uses essential cookies to run the service. With your consent we also use analytics and product-telemetry tools (Google Analytics, Vercel Analytics) to understand how the site is used.
You can change your choice at any time from the Cookie Settings link in the footer. See our Privacy Policy for details.