Schema Markup: Structured Data for SEO & AI Visibility
What is schema markup?
Schema markup is a standardized vocabulary for structured data. It is based on schema.org and makes content machine-readable — such as articles, products, events, or FAQs.
Why is it important?
- Rich snippets on Google:
Reviews, FAQs, prices, or dates appear directly in the search results. - Reliable data for AI:
Systems such as ChatGPT or Perplexity can read out precise information. - SEO advantage:
Search engines understand context better and index more reliably.
types of scheme
- Article: for blog posts, news, technical articles
- Organization: for companies
- FAQPage: for frequently asked questions
- Product: for product pages
- Event: for events
Here is one Lists of all types of schemas
Schema markup — step-by-step guide
How to implement schema markup
- Select the appropriate type
→ E.G. Article for blog posts, Product for products FAQPage for questions. - Create JSON LD code
→ Either via schema.org or tools such as Google Structured Data Markup Helper. - Insert code
→ Paste the code into the <head>area of your site or via your CMS. - Check validation
→ Test the markup with the Rich Results Test by Google or the Test tool from Schema.org and correct possible mistakes.
TL; DR
Schema markup is structured data that makes content machine-readable. They improve SEO, rich snippets, and AI visibility.
