What schema markup helps you get cited by AI search engines?

Five schema types deliver the highest measurable lift in AI citation share, ranked by impact: FAQPage, HowTo, Article (with author, datePublished, dateModified, and headline), Organization (with sameAs linking to Wikipedia, Wikidata, LinkedIn, Crunchbase), and SoftwareApplication for product pages. All five are part of Schema.org and use JSON-LD as the recommended format.

FAQPage is the highest-leverage schema for AEO because it explicitly maps questions to answers in the exact shape AI engines consume. Google AI Overviews, Perplexity, and ChatGPT Search all parse FAQPage markup and demonstrably increase citation rates from pages that use it. Limit to 4–8 questions per page, write 40–80 word answers, and don't keyword-stuff — modern parsers detect and downrank manipulative schema.

Organization schema with rich sameAs linking is the second highest-leverage move, because it consolidates your entity graph across Wikipedia, Wikidata, LinkedIn, Crunchbase, and your own canonical site. AI engines use entity resolution to decide which brand a query refers to; without strong sameAs coverage, you may be ambiguous or invisible.

Two anti-patterns to avoid: (1) marking up content that doesn't actually exist on the page (Google penalizes this and AI engines ignore it), and (2) stuffing every page with every schema type. Each page should carry the schema that matches its actual content — Article for articles, Product for products, FAQPage where there are real FAQs.