Schema.org— definition

In one sentence

Schema.org is a "vocabulary list" that correctly tells machines (AI / search engines) things like "this page is an article," "this is company information," "this is a FAQ." It was jointly created by Google, Microsoft, and Yahoo.

What does this look like in practice?

For example, suppose your site has an article titled "How to get from Tokyo Station to Haneda Airport." With plain HTML, AI sees nothing but "a blob of text."

If you use the Schema.org Article schema, you can write:

{
  "@type": "Article",
  "headline": "How to get from Tokyo Station to Haneda Airport",
  "author": "XX Editorial Team",
  "datePublished": "2026-05-24"
}

Now the AI immediately understands: "This is an article written by the XX Editorial Team on 2026-05-24."

Another example: add the FAQPage schema to a FAQ page, and AI recognizes it as a "Q&A-format information source," making it easier to cite as an answer to user questions.

Why it matters (validated by GEO Meter data)

Schema.org JSON-LD is one of the most critical foundational measures for earning AI citations. Because AI can grasp "what this page is" in a machine-readable form, it tends to be prioritized as a citation candidate.

• AI reliably understands what the page is
• Probability of being cited rises significantly
• Also benefits Google rich results (secondary SEO effect)

Major schemas (just remember these)

For details, see the individual Schema.org schemas pages.