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Buying question

When should a team buy a language-model evaluation and observability platform instead of building one internally?

Which brands each model API named when asked this question, and which pages it cited. Answer text is not published.
Snapshot Oct 22, 2026. Each category is re-run in rotation, every few weeks.

Commercial

Kind of question

3

Model APIs

1

Brands named

2

Pages cited

Brands

Brands the answers named

Rank#BrandModel APIsMentionsOwn-site citationsNamed by
1LangSmithlangchain.com102OpenAI

Model APIs

What each model API returned

Model APIModelBrands namedCitationsDomainsAnswer hash
OpenAIopenai/gpt-6-lunaLangSmith216b259639…67f10
Anthropicanthropic/claude-haiku-5.5None named006611a26b…05f6e
Googlegoogle/gemini-3.1-flash-liteNone named00f6733b55…d7da2

Sources

Pages the answers cited

Snapshots
b508948a-6a42-4345-b118-2d4a4bb38b87
Question set
llm-observability-platforms-2026-07-27
Benchmark version
4-llm-observability-platforms-2026-07-27-models-16124f05e021
What is kept
Measured in AI observability. Full answers are not stored or published, and no customer data is included.

Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.

  • Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
  • Who gets namedEvery competitor in the answers, most named first.
  • The pages AI readsThe sources behind each answer.
  • Three fixesWhat to fix first, with a brief for the first article.