Skip to content

Buying question

How should a team compare AI agent frameworks for abstraction overhead, model portability, lock-in, and debugging complexity?

Which brands each model API named when asked this question, and which pages it cited. Answer text is not published.
Snapshot Sep 14, 2026. Each category is re-run in rotation, every few weeks.

Commercial

Kind of question

3

Model APIs

4

Brands named

11

Pages cited

Brands

Brands the answers named

Rank#BrandModel APIsMentionsOwn-site citationsNamed by
1LangGraph / Deep Agentslangchain.com202OpenAI · Google
2Mastramastra.ai202OpenAI · Google
3CrewAIcrewai.com110Google
4LlamaIndexllamaindex.ai110Google

Model APIs

What each model API returned

Model APIModelBrands namedCitationsDomainsAnswer hash
OpenAIopenai/gpt-4o-miniLangGraph / Deep Agents · Mastra999baa4355…bacff
Anthropicanthropic/claude-haiku-4-5None named00506d6fd4…697c1
Googlegoogle/gemini-2.5-flashLangGraph / Deep Agents · LlamaIndex · CrewAI · Mastra664d209a67…0ba60

Sources

Pages the answers cited

Snapshots
17b304d1-ac2a-4eff-847c-74cdc49085bb
Question set
ai-agent-frameworks-2026-07-27
Benchmark version
4-ai-agent-frameworks-2026-07-27-models-64232fd32583
What is kept
Measured in Agent frameworks. 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.