Writing markdown that AI reads well
The structural choices that make a page easy for an AI assistant to quote, summarize, and cite. Mostly: standard markdown, used well.
Write documentation that makes sense as plain text as well as a designed page. The same structure helps readers scan, search tools find passages and assistants quote the right information.
One concept per page
Give each page a clear purpose. Split unrelated workflows so a shared URL points to the answer the reader needs. Keep prerequisites and exceptions with the instructions they affect.
Lead with the answer
Start with what the feature does or the task accomplishes. Follow with setup, examples and edge cases. Avoid a long introduction before the first useful instruction.
Use real markdown structure
Use H2 and H3 headings, numbered instructions, code fences and concise tables. Components can help visually, but essential information should still be present as text. Do not put the only explanation inside a screenshot or video.
Avoid "see the link below"
Give links descriptive labels such as Custom domains. The label should make sense when the sentence is read on its own.
Code blocks should be usable
Check examples against the actual product. Label placeholders, identify prerequisites and avoid inventing configuration values. For DNS setup, tell readers to use the records shown for their project rather than a made-up universal target.
The shortest test
Use Copy Markdown or the page's Markdown view. Read the output without the page design. Check whether the instructions, links and examples still make sense, then publish any corrections.