AI recommendation board
We tested how AI answers when a buyer asks which observability & monitoring 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 |
|---|---|---|---|
| Sentry | 15/20 | 14/20 | |
| Honeycomb | 10/20 | 4/20 | |
| Checkly | 7/20 | 4/20 | |
| OpenStatus | 4/20 | 4/20 | |
| Axiom AI recommends Datadog, Honeycomb and Better Stack instead | 2/20 | 1/20 | |
| Highlight AI recommends LogRocket, Sentry and FullStory instead | 2/20 | 1/20 | |
| Betterstack AI recommends Datadog, Loggly and Sentry 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.
This board is one buyer category, measured the same way for every company. You can run the same scan for your own category.
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