What's the difference between structured data and schema markup?

Structured data is the general concept — any machine-readable labeling of a page's content. Schema markup is the specific implementation most sites use to add it: the Schema.org vocabulary, usually written in JSON-LD. In short, all schema markup is structured data, but the term structured data is broader than any one vocabulary.

What format should I use?

JSON-LD. Google recommends it, and because the markup lives in a single script block rather than being woven through your visible HTML, it is far easier to add and maintain than the older Microdata and RDFa approaches. They all encode the same meaning; JSON-LD just keeps it tidy.

Does structured data directly boost rankings?

No. It enables features — rich results, clearer entity understanding, cleaner extraction by AI — rather than acting as a direct ranking signal. The benefit is that your content becomes eligible for richer treatment and easier for machines to interpret, which is different from being ranked higher for it.

Glossary · How AI reads content

Structured Data

Machine-readable labeling of your page's content — often in JSON-LD — that tells search engines and AI what each element means.

Updated August 20265 min readReviewed by PageLens.ai

JSON-LD · FAQ structured data

{
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "How long is setup?",
    "acceptedAnswer": "Under a day."
  }]
}

Structured data spells out that this page holds a question and its accepted answer.

Structured data is machine-readable labeling added to a page so that software knows what each element means. It is the difference between a machine seeing the characters “4.8” and a machine knowing they are a product rating out of five.

What structured data means

Ordinary web pages are written for people. A reader instantly understands that one line is a price, another is an author’s name, and a block of text is a question with its answer. A machine reading the raw HTML sees none of that structure — just formatted text. Structured data fixes this by attaching explicit labels: this is a price, this is an author, this is a Question and its acceptedAnswer.

The dominant way to express it is JSON-LD — a compact block of JSON, built on the Schema.org vocabulary, that Google recommends and that most sites now use. Once the meaning is made explicit, search engines and AI can extract facts from the page without inferring them from layout or wording.

How it relates to schema markup

These two terms travel together and are easy to conflate. The distinction is simply concept-versus-implementation.

Structured data

Schema markup

The concept: machine-readable meaning

One concrete way to add it

Not tied to any single vocabulary

Uses the Schema.org vocabulary

The goal you're aiming at

The tool most people reach for

Why it matters for AEO

As search shifts from ranked links to synthesized answers, the value of structured data rises. It gives engines and models an unambiguous version of your facts to work from:

Rich results. It powers enhanced listings — ratings, FAQ dropdowns, prices, breadcrumbs — that draw attention on the results page.
Reliable extraction. When a model needs your price, your rating, or a direct answer, labeled data is far less likely to be misread than the same fact buried in prose.
Entity clarity. Explicit labels help engines connect your brand, products and people to the right entities instead of guessing from context.

Doing it well

Structured data must describe what is actually on the page — labeling content a visitor can’t see, or values that don’t match the visible page, violates the guidelines and can forfeit the rich result. Mark up the elements that carry real meaning for your buyers, keep the values in sync with the page, and validate before you ship. It is unglamorous infrastructure, but it is what makes your content dependable for the machines now doing the reading.

Frequently asked

What's the difference between structured data and schema markup?: Structured data is the general concept — any machine-readable labeling of a page's content. Schema markup is the specific implementation most sites use to add it: the Schema.org vocabulary, usually written in JSON-LD. In short, all schema markup is structured data, but the term structured data is broader than any one vocabulary.
What format should I use?: JSON-LD. Google recommends it, and because the markup lives in a single script block rather than being woven through your visible HTML, it is far easier to add and maintain than the older Microdata and RDFa approaches. They all encode the same meaning; JSON-LD just keeps it tidy.
Does structured data directly boost rankings?: No. It enables features — rich results, clearer entity understanding, cleaner extraction by AI — rather than acting as a direct ranking signal. The benefit is that your content becomes eligible for richer treatment and easier for machines to interpret, which is different from being ranked higher for it.