Structured data is special markup that helps search engines better understand page content. The Schema.org standard describes hundreds of entity types: products, articles, organizations, recipes, events, FAQ, and more. When a search engine recognizes the markup, it can display a rich snippet — with ratings, prices, dates, or answers directly in search results.
Structured Data Formats
- JSON-LD — Google's recommended format. Markup is added as a JSON script in <head> or <body>, separate from HTML code
- Microdata — itemscope, itemtype, and itemprop attributes added directly to HTML tags. Supported by Google
- RDFa — vocab, typeof, and property attributes embedded in HTML. Less popular but fully supported by search engines
What This Tool Checks
- Presence of JSON-LD blocks on the page and their validity
- Presence of Microdata markup (itemscope, itemtype)
- Presence of RDFa attributes (vocab, typeof)
- Types of Schema.org entities found (Organization, Product, Article, etc.)
- Key errors and missing required fields
Why Structured Data Matters for SEO
Rich snippets take up more space in search results and attract more user attention. Studies show CTR for pages with rich snippets can be 20-30% higher compared to regular results.
- Google uses structured data to create rich snippets, product carousels, and FAQ blocks
- Google actively supports Schema.org and displays ratings, prices, availability, and other data directly in search results
- Markup helps search engines more accurately determine the topic and content type on a page
- Proper markup increases chances of appearing in voice search and featured snippets
Common Mistakes
- Missing structured data — page loses the chance to get a rich snippet
- Invalid JSON-LD — syntax errors that prevent search engines from parsing the markup
- Markup-content mismatch — Schema.org data differs from what users see
- Missing required fields — e.g., Product without name or offers
- Using deprecated types — some Schema.org types are no longer supported by search engines