What is Structured Data?
Turkish: Yapılandırılmış Veri (Structured Data)
Structured data explains page meaning to search engines through standard markup such as JSON-LD, Microdata, or RDFa.
What is Structured Data?
Structured data is machine-readable markup that explains what elements on a web page represent: a product, article, organization, event, recipe, breadcrumb, review, and so on. Search engines still read the HTML page, but JSON-LD, Microdata, or RDFa markup gives explicit meaning to the content.
How It Works
The most common implementation is adding JSON-LD to the page. On a product page, for example, product name, description, brand, image, price, currency, availability, and review data can be expressed with fields from the Schema.org vocabulary. A search engine compares that data with the visible page content and may use it for rich results when eligible.
What to Watch
Structured data should not be used to add information that users cannot see on the page. Incorrect prices, fabricated reviews, or hidden markup can create quality problems. Rich Results Test, Search Console, and schema validators help catch errors.
Schema.org, rich snippet, and featured snippet are closely related. For e-commerce and content sites, structured data is a measurable technical SEO task that needs ongoing maintenance.
Related Terms
A featured snippet is a SERP result that shows a short answer, list, or table for a query and can increase page visibility.
Rich SnippetA rich snippet is an enhanced search result that can show ratings, prices, availability, dates, breadcrumbs, or other details from structured data.
Schema.org / Structured DataSchema.org is a structured data vocabulary that describes page content to search engines through machine-readable markup such as JSON-LD.