How to write content that LLMs cite
Answer engines don't reward the longest page. They reward the clearest one. Here's how to structure content so a model pulls you into its answer.
When a language model answers a question, it's looking for the passage that states the answer most clearly and credibly. It isn't counting your word count or admiring your intro. If you want to be cited, write for retrieval and synthesis, not for a 2015 SEO checklist.
Lead with the answer
Put the conclusion in the first sentence or two, then support it. Models extract the clearest statement of a fact; if yours is buried under three paragraphs of throat-clearing, a competitor's cleaner version wins.
Structure for extraction
- Phrase headings as the questions people actually ask.
- Make claims explicit and self-contained — each passage should stand alone.
- Use lists and short paragraphs where they fit the content.
- Add structured data and clean semantics so machines parse you correctly.
Be specific or be ignored
Vague marketing language doesn't get cited because it doesn't say anything a model can lift. Concrete numbers, named steps, and direct statements do. Specificity is the whole game.
Write the sentence you'd want quoted back as the answer. Then make it the first one.