The 2026 State of Knowledge Report

AI agents are emerging as a distinct audience for company documentation, using structured machine-readable resources such as Markdown pages, llms.txt files, and Model Context Protocol tools rather than browsing like humans. Mintlify’s traffic and survey data indicate that agent and documentation-assistant usage is growing substantially faster than human readership, while controlled tests found that pairing Markdown with an llms.txt navigation map sharply reduced agent 404 errors and token consumption compared with HTML alone. The report argues that documentation quality, structure, and currency increasingly affect product adoption because agents may act on inaccurate information without the skepticism human users apply. Although many teams now use AI agents to draft documentation updates, most retain human review, and organizations continue to struggle with fragmented knowledge spread across documentation, support, community, sales, and product systems. Survey findings suggest few companies have made all knowledge surfaces accessible to agents or assigned clear ownership for doing so, prompting a growing emphasis on “knowledge engineers” and unified knowledge infrastructure that can keep content synchronized, discoverable, and continuously improved for both humans and AI agents.

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