Schema JSON (JSON-LD)
JSON-LD (JavaScript Object Notation for Linked Data) is a method of encoding linked data using JSON, combined with Schema.org vocabulary to create structured data that search engines and AI systems can understand.
schema.jsonOrigin & Background
Key Benefits & Advantages
Benefits Overview
- Enables rich search results and knowledge graph inclusion
- Machine-readable format for AI and search engines
- Widely supported by Google, Bing, and other search engines
Technical Advantages
SEO / GEO / LLMO Relevance
Schema.org structured data is the primary way search engines and AI systems understand entities, relationships, and context on web pages, directly influencing search rankings and AI citations.
Implementation Guide
Syntax Example
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "Geordy",
"applicationCategory": "BusinessApplication",
"description": "AI optimization platform for generative search engines",
"offers": {
"@type": "Offer",
"price": "99.00",
"priceCurrency": "USD"
},
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.9",
"ratingCount": "847"
}
}Troubleshooting & Best Practices
Comparison to Alternative Formats
Use JSON-LD for all structured data needs - it's the modern standard recommended by Google. Use Open Graph for social media sharing. Avoid Microdata and RDFa unless maintaining legacy implementations.
Advantages
- +Separates structured data from HTML
- +Easier to implement and maintain
- +Recommended by Google and other search engines
- +Supports complex nested structures
Limitations
- −Requires keeping data synchronized with HTML
- −Can increase page size if not optimized
- −Learning curve for complex schema types
- −Validation errors can prevent rich results
Popular Use Cases
E-commerce Products
Product information, pricing, availability, and reviews
Product schema with offers, reviews, and ratingsArticles and Blog Posts
Article metadata, author information, and publication dates
Article schema with author, publisher, and datePublishedLocal Business
Business information, hours, location, and contact details
LocalBusiness schema with address, phone, and opening hoursEvents
Event details, dates, locations, and ticket information
Event schema with startDate, location, and offersReal-World Adoption Examples
Amazon
Uses Product schema for all product pages with pricing and reviews
The New York Times
Implements Article and NewsArticle schema for all news content
Yelp
Uses LocalBusiness schema with reviews and ratings
Eventbrite
Implements Event schema for all event listings
IMDb
Uses Movie and TVSeries schema with cast, ratings, and reviews