What does schema markup mean?

Schema markup , or structured data, is code that tells search engines what page content means. It is based on the Schema.org vocabulary and can earn rich results such as star ratings or FAQ dropdowns.

What is the best schema format?

Google recommends the JSON-LD format. It is a separate script block that does not tangle with the HTML structure, is easy to generate dynamically, and simple to maintain. Microdata and RDFa are alternatives, but more fragile.

Does schema markup improve rankings?

Schema is not a direct ranking factor, but its indirect impact is significant: rich results stand out and lift click-through rate, which correlates with better rankings. It also helps AI search engines understand content.

Which schema types are most important?

Four cover most needs: Article for blogs, FAQPage for questions, LocalBusiness for local businesses, and Organization for the brand. Online stores add Product and Review schemas.

How do I test schema markup?

Use Google’s Rich Results Test to see which rich results the page is eligible for, and the Schema.org Validator to check syntax. After publishing, monitor the Enhancements section in Search Console.

Schema Markup Guide 2026 — JSON-LD and Structured Data

What schema markup (structured data) is

Schema markup is standardized code added to a page’s source to tell search engines the meaning of the content. It is based on the Schema.org vocabulary, maintained jointly by Google, Microsoft, Yandex, and other search engines.

A human easily understands that "$29" is a price and "★★★★☆" is a rating, but to a search engine the text is just a string. Structured data removes this ambiguity: it unambiguously marks this as a price, this as a rating, and this as an event date.

When a search engine understands the structure of content, it can show rich results: star ratings, FAQ dropdowns, recipe cook times, or product prices directly in search. These stand out and lift click-through rate.

In 2026 structured data also serves AI search engines and Google’s AI overviews: clearly marked content is easier to extract and cite in answers. In this guide we walk through the four most important schema types with examples.

Why schema markup is worth it

Structured data is not a direct ranking factor, but its indirect impact is significant. Rich results take up more space in search, stand out visually, and lift click-through rate — and a better CTR correlates with better rankings.

Schema also helps search engines understand entities: who your company is, what services you offer, and how your pages relate to each other. This strengthens the site’s topical authority.

For local businesses and online stores especially, schema is almost mandatory: LocalBusiness, Product, and Review schemas bring visibility that competitors without them simply do not get.

Rich results stand out and lift CTR
Helps search engines understand entities and context
Supports AI search extraction and citation
Almost mandatory for local businesses and online stores

Important note

JSON-LD is the recommended format

Structured data can be marked in three ways: JSON-LD, Microdata, and RDFa. Google clearly recommends JSON-LD, and the same recommendation holds in 2026.

JSON-LD’s advantage is that it is a separate block in the page’s or and does not get tangled in the HTML structure. Microdata and RDFa are added directly to HTML elements, which makes them more fragile and harder to maintain.

JSON-LD is also easy to generate dynamically on the server or in a CMS and add to every page type programmatically. This makes it a scalable solution even for large sites.

JSON-LD: a separate