Rich results and structured data

Rich results are the visible payoff of structured data in classic search. The quieter payoff is that the exact same markup helps AI understand and cite you. One investment, two returns.

It is easy to think of rich results, the star ratings and FAQ accordions in search listings, as a classic-search game. They are not separate from AI search. They are powered by the same JSON-LD schema that tells a language model what your content means. So when you earn a rich result, you are also feeding the machine layer.

The types worth prioritizing

Rich resultSchema behind itDoubles as
Review starsReview, AggregateRatingA trust signal AI can verify
FAQ accordionFAQPageExtractable answers for AEO
Product detailsProduct, OfferMachine-readable data for shopping agents
BreadcrumbsBreadcrumbListSite structure a model can follow

Mark up the facts you want machines to repeat, validate before you ship, and treat a new rich result as a sign your structured data is landing. Start from the free templates.

Rich results, answered

What are rich results?
Rich results are the enhanced search listings that structured data unlocks: review stars, FAQ accordions, product details, recipe cards, and more. They come from the same JSON-LD schema that helps AI systems understand your content, so the work pays off in both classic and AI search.
Do rich results help with AI search?
The markup behind them does. The schema that produces a rich result also tells a model what your content means, which improves your odds of being parsed correctly and cited. Think of rich results as the visible proof that your structured data is working, with the AI benefit underneath.
Which rich result types should I prioritize?
The ones that match your content and your buyer's decision: review and rating markup for products and services, FAQ for guidance pages, product details for ecommerce, and breadcrumbs for structure. Mark up the facts you want machines to repeat, not everything.

Get the schema templates

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