Article schema is the JSON-LD markup type for text-based informational content: blog posts, news articles, research reports, and guides. It tells Google the content type, who authored it, when it was published, when it was last updated, and what organization published it. These signals feed Google's E-E-A-T evaluation model and its AI Overview citation selection - articles with complete, validated author and organization schema are cited in AI Overviews at 2.4× the rate of equivalent articles lacking author schema (BrightEdge, Q4 2025).
Article schema has four important subtypes that communicate different content intent to Google. Article is the general type for informational reference content. NewsArticle enables Google News inclusion for time-sensitive reporting. BlogPosting signals opinion, analysis, and personal expertise content. TechArticle is for technical documentation and tutorials, with unique properties like proficiencyLevel and dependencies. Using the most specific appropriate subtype produces more precise content classification in Google's systems - and more targeted topic-authority signals for AI citation.
Article Schema Subtypes: When to Use Each
Article, NewsArticle, BlogPosting, and TechArticle are the four main content schema subtypes. Each unlocks different SERP features and sends different E-E-A-T signals. Select your content type to see the complete JSON-LD pattern and implementation notes.
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Your article title here",
"author": {
"@type": "Person",
"name": "Author Name",
"sameAs": ["https://linkedin.com/in/author"]
},
"publisher": {
"@type": "Organization",
"name": "Your Brand",
"logo": { "@type": "ImageObject", "url": "https://yourdomain.com/logo.png" }
},
"datePublished": "2026-01-15",
"dateModified": "2026-03-01",
"image": "https://yourdomain.com/article-image.jpg"
}Use when: General informational or reference content
Article Freshness vs AI Citation Rate: The dateModified Effect
The dateModified property in Article schema is one of the most overlooked freshness signals. AI Overview citation models weight content recency - especially for queries where the answer could change over time. Hover any bar to see the citation rate and the mechanism behind it.
Source: BrightEdge AI Citation Analysis, Q4 2025. Citation rate = % of tracked AI Overview appearances including content at that freshness level relative to competitors with equivalent authority signals.