Article Schema Overview
What is Article Schema?
Article schema markup is a type of structured data defined by Schema.org that signals to search engines that a piece of content is an article, news story, or blog post. By adding Article schema to a page, you help Google and other search engines identify the article’s headline, description, author, publication date, images, and publisher details. This makes your content easier to index, categorize, and display in Rich Results.
Schema Matters for SEO
Adding Article structured data improves the way your content appears in search results. Articles with schema markup are eligible for features such as Top Stories carousels, Google Discover, and enhanced snippets with thumbnails and bylines. Without it, even high-quality content can get lost in standard search listings. Article schema tells search engines exactly what your content is and boosts its chances of being highlighted in competitive search spaces.
Benefits of Using Schema
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Increased Visibility: Content becomes eligible for Rich Results and news carousels.
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Higher Click-Through Rate (CTR): Snippets with images, author names, and publication dates stand out.
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Improved Indexing: Search engines can better understand your content and rank it more accurately.
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Trust and Authority: Clear publisher and author details establish credibility with both search engines and users.
How It Works
When you embed Article schema markup on a blog post or news story, search engines can immediately interpret it as an article rather than just a generic web page. The structured data provides a machine-readable summary of your content, including key fields like headline, author, datePublished, and mainEntityOfPage. This increases your eligibility for Rich Results and ensures your content is properly represented in search, voice assistants, and AI-driven answers
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