How do you create content that AI models prefer to cite?

Citation-grade content – the kind the engines reliably pull from – shares a recognizable profile. The facts are dense and specific: named entities, real numbers, concrete dates, identifiable sources within the text. The structure is clear: headings that frame the questions, direct answers below each one, lists or tables for enumerable content, schema markup so the structure is machine-readable. The sourcing is authoritative: every non-trivial claim carries a citation to a source the engines themselves treat as credible. The content is current: real publication and update dates, references that have not gone stale. The hosting is at a domain with established authority. And the authorship is explicit: a named expert with bio context that makes the expertise verifiable. Content that fails on any of these dimensions can still be useful for human readers but is unlikely to influence the AI synthesis.