AI Article Schema Generator

Article schema markup is structured data that describes written content like blog posts, news articles, and technical documentation. It uses schema.org types including Article, BlogPosting, and NewsArticle to communicate details like headline, author, publisher, dates, and images to search engines. This markup helps Google understand your content and can trigger enhanced search results with author photos, dates, and publisher info.

BlogPosting is a more specific subtype of Article. Use BlogPosting for blog entries and informal content, NewsArticle for news and journalism, TechArticle for technical documentation, and the general Article type for other written content. Google treats them similarly for rich results, but using the most specific type helps search engines categorize your content more accurately and display it in relevant content verticals.

Yes, Article schema contributes to Google Discover eligibility by helping Google understand your content type, topic, and freshness. While schema alone does not guarantee Discover placement, it provides the structured signals Google uses to match content with user interests. Include high-quality images at least 1200 pixels wide, compelling headlines, and accurate datePublished and dateModified properties to maximize your Discover potential.

Absolutely. Author information is crucial for Article schema and supports Google's EEAT (Experience, Expertise, Authoritativeness, Trustworthiness) evaluation. Include the author name, URL to their profile page, and an image if available. For multi-author articles, list all authors. Google uses author data to build entity understanding and may display author information in search results and Google Knowledge panels.

These date properties signal content freshness to search engines. datePublished tells Google when the article first appeared, while dateModified indicates the last significant update. For time-sensitive topics, fresher dates improve rankings. Always update dateModified when you make meaningful content changes. Do not fake dates — Google cross-references dates against cached versions and may penalize pages with manipulated timestamps.