Full Answer

AI engines don't read pages the way humans do. They scan for extractable, self-contained statements — a heading that frames a question, followed by a paragraph that answers it completely in two or three sentences. The closer your content resembles a structured knowledge base, the more likely an AI engine will quote it rather than paraphrase a competitor's version.

The technical layer matters as much as the prose. Schema markup — specifically Article combined with BreadcrumbList — signals to AI crawlers that a page is an authoritative, navigable piece of content rather than a generic block of text. Research from Digital Applied found this combination produces measurable citation improvements on informational queries. FAQPage schema adds another dimension by explicitly pairing questions with answers in machine-readable format.

The structural pattern that performs best across ChatGPT, Perplexity, and Google AI Overviews is answer-first writing: state the conclusion immediately, anchor it with a number or fact, then provide the reasoning. This inverts the traditional blog format where the answer hides below several paragraphs of context. AI engines favour the inverted structure because it reduces the extraction work — the quotable sentence is already written, sitting exactly where the crawler expects to find it.