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Buying question

Recommend a managed retrieval service for building grounded enterprise assistants with citations and source provenance.

Which brands each model API named when asked this question, and which pages it cited. Answer text is not published.
Snapshot Sep 15, 2026. Each category is re-run in rotation, every few weeks.

Recommendation

Kind of question

3

Model APIs

1

Brands named

12

Pages cited

Brands

Brands the answers named

Rank#BrandModel APIsMentionsNamed by
1Azure AI Searchazure.microsoft.com11Anthropic

Model APIs

What each model API returned

Model APIModelBrands namedCitationsDomainsAnswer hash
OpenAIopenai/gpt-4o-miniNone named55c5b85d74…c27dd
Anthropicanthropic/claude-haiku-4-5Azure AI Search00d3607312…cf6c9
Googlegoogle/gemini-2.5-flashNone named779e722e80…e0822

Sources

Pages the answers cited

Snapshots
700b19bd-504a-485d-a73f-487ac78c1b02
Question set
enterprise-search-platforms-2026-07-27
Benchmark version
4-enterprise-search-platforms-2026-07-27-models-64232fd32583
What is kept
Measured in Enterprise search. 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.