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Buying question

Which developer platform is best for hybrid keyword and vector retrieval, semantic reranking, and high-scale search?

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

3

Brands named

14

Pages cited

Brands

Brands the answers named

Rank#BrandModel APIsMentionsOwn-site citationsNamed by
1Azure AI Searchazure.microsoft.com340OpenAI · Anthropic · Google
2Elastic Search AIelastic.co252OpenAI · Google
3Vertex AI Searchcloud.google.com101Google

Model APIs

What each model API returned

Model APIModelBrands namedCitationsDomainsAnswer hash
OpenAIopenai/gpt-4o-miniElastic Search AI · Azure AI Search777d0b6765…7cb8b
Anthropicanthropic/claude-haiku-4-5Azure AI Search00fc2fc78d…df3ae
Googlegoogle/gemini-2.5-flashElastic Search AI · Azure AI Search · Vertex AI Search99da9acbef…f747d

Sources

Pages the answers cited

DomainCited pageBest positionCited byCitations
superlinked.comhttps://superlinked.com/blog/optimizing-rag-with-hybrid-search-reranking1OpenAI · Google2
techcommunity.microsoft.comhttps://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/azure-ai-search-outperforming-vector-search-with-hybrid-retrieval-and-reranking/39291671OpenAI · Google2
alrafayglobal.comhttps://alrafayglobal.com/blog/vector-search-vs-semantic-search/2Google1
kapa.aihttps://kapa.ai/library/azure-ai-search-alternatives-for-technical-documentation2OpenAI1
docs.cloud.google.comhttps://docs.cloud.google.com/gemini-enterprise-agent-platform/build/vector-search/about-hybrid-search3Google1
elastic.cohttps://elastic.co/search-labs/blog/hybrid-search-semantic-reranking-gcp-elasticsearch3OpenAI1
phoenixdata.aihttps://phoenixdata.ai/glossary/hybrid-search4Google1
medium.comhttps://medium.com/etoai/hybrid-search-and-custom-reranking-with-lancedb-4c10a6a3447e5OpenAI1
elastic.cohttps://elastic.co/elasticsearch/hybrid-search6Google1
youtube.comhttps://youtube.com/watch?v=odQTIAItkv86OpenAI1
linkedin.comhttps://linkedin.com/posts/maarab-hanif_vectorsearch-hybridsearch-ai-activity-7353348961274937347-Go9t7Google1
towardsdatascience.comhttps://towardsdatascience.com/hybrid-search-and-re-ranking-in-production-rag/7OpenAI1
alibabacloud.comhttps://alibabacloud.com/blog/the-complete-guide-to-hybrid-search-the-perfect-blend-of-full-text-and-vector-search_6029218Google1
unstructured.iohttps://unstructured.io/insights/the-developers-guide-to-hybrid-search-implementation9Google1
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.