In one sentence
Article Schema is the Schema.org schema used for blog and news article pages. It is the way to explicitly tell AI "who / when / wrote what article."
What does this look like in practice?
You write something like this inside the <head> of a blog article page:
{
"@type": "Article",
"headline": "What is GEO? A Complete Guide for Japanese Companies",
"datePublished": "2026-05-24",
"dateModified": "2026-05-24",
"author": {
"@type": "Organization",
"name": "GEO Meter Editorial Team"
},
"publisher": {
"@type": "Organization",
"name": "GEO Meter",
"logo": { "@type": "ImageObject", "url": "..." }
}
}
With this, AI recognizes the page as "a trustworthy article written by the GEO Meter Editorial Team on 2026-05-24" and prioritizes it as a citation source.
Required + recommended fields
| Field | Required? | Effect |
|---|---|---|
headline | Yes | Article title |
datePublished | Yes | Publication date (freshness signal) |
author | Yes | Author (trust signal) |
publisher | Yes | Publisher (authority) |
dateModified | Recommended | Last modified date |
image | Recommended | OGP image |
mainEntityOfPage | Recommended | URL of the page itself |
Why it matters
- AI can judge "how recent the information is": newer information is cited over older information
- The author's authority is conveyed: articles from trustworthy publishers are prioritized
- Also benefits Google rich results: makes search listings more prominent
Derived schemas
For specific article types, derived schemas can further improve precision:
- NewsArticle: news articles
- BlogPosting: blog posts
- TechArticle: technical articles
For details, see Schema.org and JSON-LD.