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AI for Technical Documentation

Technical documentation has been quietly transformed by AI more thoroughly than almost any other writing category. Mintlify, the leading AI-native documentation platform, reports that approximately half of all documentation site traffic now comes from AI agents — and developers are increasingly skipping documentation entirely in favor of asking ChatGPT, Claude, or Cursor questions that resolve from docs in the background. Mintlify's own ARR grew 10× in 2025, from $1M to $10M, with over 10,000 companies on the platform including Coinbase, Microsoft, AT&T, PayPal, Anthropic, and Perplexity. Anthropic's open Model Context Protocol (MCP), introduced in late 2024, has become the de facto standard for AI agents to consume technical docs. This page tracks the rapid restructuring of technical documentation around AI consumers.

4 visualizations 6 sources Last updated June 2026 Free to embed
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Chart 1 · Platform growth

Mintlify ARR and customer growth, 2023–2025

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Source: Sacra revenue estimates for Mintlify, January 2026 ($1M ARR end 2024, $10M ARR end 2025 — 10× growth). Customer growth: ~1,000 (late 2023) → 10,000+ (end 2025). Net revenue retention 150%. Enterprise ACVs grew 15× year-over-year. Mintlify acquired RAG infrastructure company Trieve in July 2025. 
Chart 2 · Who's using it

Notable Mintlify customers by category

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Source: Mintlify 2025 Year in Review and customer announcements. Notable: AI labs (Anthropic, Perplexity, Cursor), fintech (Coinbase, PayPal), big tech (Microsoft, AT&T), data/science (Anaconda), developer tools (Replit, Vercel, PlanetScale).
Chart 3 · AI consumption signal

Mintlify monthly AI assistant queries, 2025

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Source: Mintlify 2025 Year in Review. The platform now serves over 1 million AI assistant queries per month directly inside customer documentation. Separately, 280M monthly content views across all Mintlify customer documentation sites combined.
Chart 4 · The MCP standard

Model Context Protocol adoption timeline

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Source: Anthropic Model Context Protocol announcement (late 2024); OpenAI MCP support announcement (2025); Mintlify "AI Documentation Trends" article (August 2025). MCP is an open standard that allows AI systems to retrieve structured, real-time context from external sources including documentation. By mid-2025, OpenAI supported MCP in ChatGPT and the Agents SDK; OpenRouter and other community platforms followed.

About this data

The AI Behavior Index is the research arm of OneChat AI. This page focuses on AI applied to technical documentation — both AI used to write documentation (LLM-assisted authoring, auto-generation from code) and AI as a consumer of documentation (AI agents querying docs to answer developer questions).

One important caveat: most of the cleanest data on this category comes from Mintlify itself, which is the category leader and has obvious incentive to highlight category growth. Sacra's revenue estimates (independent third party) corroborate the growth trajectory, and HubSpot's published migration case study provides independent confirmation of the "AI agents as primary docs consumers" thesis. But there is no large independent survey of AI documentation use across the industry yet. Treat the specific Mintlify-sourced figures (50% of traffic from AI agents, 1M monthly AI queries) as the best available signal rather than industry-wide truth. Data is refreshed when major reports publish. If you have a study to suggest or notice an error, contact us at research@aibehaviorindex.org.

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How the data works

Every statistic shown is sourced from a publicly available study, survey, or report. We aggregate, organize, and contextualize this data — but the underlying research is conducted by the cited sources. Click any source link to access the original methodology. If you run into any issues or have a study to suggest, contact us at research@aibehaviorindex.org.