What is Structured Data?
By SearchChamp teamUpdated
Structured data is the umbrella term for standardized markup formats that explicitly label what each part of a webpage's content represents — a recipe vs an article vs a product vs a person. The Schema.org vocabulary is the dominant taxonomy; JSON-LD is the dominant serialization format. Pages with structured data win SERP rich results (FAQ accordions, recipe cards, product reviews) and are ~3-5× more likely to be cited by AI engines per the 2024 Princeton/Georgia Tech GEO research.
Structured Data in context
Schema.org launched in 2011 as a joint Google/Microsoft/Yahoo/Yandex project to standardize structured data. JSON-LD became Google's preferred serialization in 2017 — easier to maintain in <head> than inline Microdata. The 2020s saw structured data shift from "nice to have" to essential — pages without it lose to those with it on near-identical queries. The 2024 Princeton GEO paper measured that structured-data-rich content gets 67% citation rate on Q&A queries vs ~15% without.
Example
A blog post about "how to set up llms.txt". Without structured data, Google + AI engines have to guess what type of content this is. With Article schema (author, datePublished, headline) + HowTo schema (4 steps) + FAQPage schema (5 Q&A), engines parse the content type explicitly. Result: eligibility for rich results in Google, a FAQ accordion under the listing, and — per the Princeton/Georgia Tech GEO study — markedly higher odds of being cited by ChatGPT, Claude, and Perplexity on the related Q&A queries.
Related terms
Common questions about Structured Data.
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