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Optimize Your Docs for AI Agents

Optimize Your Docs for AI Agents
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🏕️Read original on 极客公园
#agent-optimization#api-documentation#robots-txt#markdownagentic-engine-optimization-(aeo)google cloudcursorclaude codellms.txtaddy osmani

💡Your API may be rejected in 400 milliseconds—learn how to make docs legible to AI agents.

⚡ 30-Second TL;DR

What Changed

AI agents may decide whether to use a documentation page within roughly 400 milliseconds and the first 500 tokens.

Why It Matters

As agents become software's most important users, documentation quality will increasingly affect API adoption and product selection. Companies that ignore AEO may lose agent-driven usage without seeing clear evidence in conventional analytics.

What To Do Next

Audit your top API documentation pages this week, add a three-question summary within the first 500 tokens, and publish an llms.txt index.

Who should care:Developers & AI Engineers

Key Points

  • AI agents may decide whether to use a documentation page within roughly 400 milliseconds and the first 500 tokens.
  • Long documentation can exceed an agent's context window, causing truncation, abandonment, or hallucinated API integrations.
  • Recommended document budgets are under 15,000 tokens for quickstarts, 25,000 for API references, and 20,000 for conceptual guides.
  • Rendered HTML navigation and UI elements add token noise; agents generally benefit more from concise, structured Markdown.
  • Teams should audit robots.txt for accidental AI-agent blocking and publish an llms.txt file as an agent-oriented documentation index.
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