What website content is most likely to be cited by AI models?

The content the engines actually cite shares specific traits. It is fact-dense, with concrete numbers, dates, and named entities rather than abstract claims. It is structured for extraction: clear H2 and H3 headings, short self-contained answers below each heading, tables and lists for enumerable information. It carries schema markup (tags in a page’s code that tell search engines what the content is: Organization, Article, FAQPage, HowTo, Person) so the structure is machine-readable. It has clear authorship with named experts and bio context, since the engines weight identifiable expertise. It is updated recently enough that the engines treat it as current. And it contains its own citations to authoritative third-party sources, which signals reliability to the engine doing the synthesis. We call this writing for the extract, and it is the same discipline that won featured snippets a decade ago, now applied to AI engine citation.