Prompt
Which LLM API has the best docs for developers?
Latest observation
“Best docs” is subjective, but if I had to pick the most consistently developer-friendly LLM API docs, I’d say:
Top picks
1. OpenAI
- Very clear onboarding and examples
- Good API reference structure
- Strong code samples and guides
- Easy to find common tasks: chat, tools/function calling, structured outputs, streaming
Best for: developers who want the fastest path from zero to working code.
2. Anthropic
- Excellent conceptual explanations
- Strong focus on prompt design and tool use
- Good examples, especially for Claude-specific workflows
- Docs are generally polished and readable
Best for: developers who care about understanding behavior and building reliable integrations.
3. Google Gemini
- Solid docs, especially if you’re already in Google Cloud
- Good coverage of multimodal and platform integration
- Can feel more scattered due to ecosystem breadth
Best for: teams already invested in Google Cloud / Vertex AI.
Honorable mention: Cohere
- Quite developer-oriented
- Good docs for enterprise/search/embedding use cases
- Less mainstream than the above, so fewer community examples
My practical ranking for docs quality
- OpenAI
- Anthropic
- Google Gemini / Vertex AI
- Cohere
If you want, I can also rank them by:
- best API docs for beginners
- best docs for function calling / tools
- best docs for enterprise teams
- best docs for RAG / embeddings
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.