Getting cited
What content format do AI engines cite most?
Write the passage, not just the page
The unit an engine retrieves is a passage. Ask of every section: if this paragraph were the only thing quoted, would it be accurate, complete, and attributable? If it depends on the paragraph above, it will be quoted wrongly or skipped.
This favours a structure that feels almost blunt — question as heading, answer as the first sentence, evidence after. It reads slightly plainer to a human and dramatically better to a retriever.
Formats with outsized pull
Tables comparing named options on named attributes are cited heavily, because they resolve several sub-queries at once and are trivial to extract.
Original numbers are the strongest citation magnet of all. A statistic an engine cannot get elsewhere forces attribution, and attribution is a citation. This is why first-party research outperforms commentary by a wide margin.
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Related questions
Query fan-out is when an AI engine breaks a single question into several related sub-queries, searches each one separately, and synthesises the results into one answer. Asking for 'the best CRM for a small agency' might fan out into searches for best CRM 2026, CRM pricing for small teams, and agency CRM reviews.
Indirectly, yes. No major AI engine has confirmed that structured data is a ranking input, but schema makes a page's facts unambiguous — what it is, who published it, what it is about, and which entities it refers to. That resolves the reconciliation problem engines face, and unambiguous pages get misread less often.
Yes, more than in traditional search. Many questions carry an implicit 'right now', and engines resolve that by preferring pages with visible, recent dates. Undated content is systematically disadvantaged — an engine cannot tell whether it is current, so it reaches for something it can date.
More on getting cited
Last reviewed 2026-07-30.