Structured data guide
Schema.org is infrastructure for AI search. It helps systems parse entities and page types, but it does not turn ordinary copy into a citable answer.
Audit structured dataStructured data can state what a page is, who wrote it, which organization owns it, and where questions and answers appear. It must match visible content. Fake authors, fake FAQs, or unsupported organization data reduce trust.
For most sites, Organization, WebSite, BreadcrumbList, Article, and FAQPage are the practical starting point. Consistent name, URL, logo, sameAs, author, date, and topic matter more than adding many templates.
AI systems may understand structured data through search indexes, knowledge graphs, page text, and crawl output. Schema reduces parsing ambiguity and entity confusion; visible content still decides whether a passage is useful.
Whether Organization or WebSite schema exists and is consistent
Whether sameAs links only point to real authoritative profiles
Whether Article or FAQPage matches visible content
Whether JSON-LD appears in initial HTML
Whether schema avoids exaggeration or contradictions
Not directly. Schema helps parsing and entity recognition. Citation still depends on clear, trustworthy, specific, visible content.
Yes, if the FAQ is visible and useful. Do not invent questions only for markup, and do not expect FAQPage alone to improve ranking or citation.