Dataset vs FAQPage vs raw tables: what AI engines actually cite
If your goal shifted from Google rich results to getting quoted by ChatGPT and Perplexity, the schema comparison changes. For factual, numeric content, Dataset and well-structured tables now compete with FAQPage for citation.
— FAQPage: best when the content is genuinely Q&A and you want answers extracted verbatim
— Dataset schema: best for statistics, research data, recurring metrics — signals authoritative, citable numbers
— Plain semantic HTML tables with captions: often cited as readily as either when the data is clean
What it means for you: AI answer engines reward extractability over rich-result eligibility. A precise Dataset markup on your industry stats page can earn citations that no Google rich result ever would. Match the type to the data shape — Q&A gets FAQPage, numbers get Dataset. Watch this: as citation visibility outranks blue-link clicks for some queries, the schema that makes facts liftable is the new optimization target.
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Dataset vs FAQPage vs raw tables: what AI engines actually cite
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