Article Schema Markup

Article schema markup is machine-readable information that describes editorial content to systems that use structured data. Publishers commonly implement Schema.org Article, NewsArticle, or BlogPosting through JSON-LD. Relevant properties may include the article's headline, author, dates, and images. These fields should agree with what readers can actually see and what the publisher can substantiate.

A home-services company publishing a seasonal roof-maintenance guide might mark up the guide as a BlogPosting with its genuine author and publication information. The markup describes the existing article; it cannot turn a thin promotional page into a credible independent editorial resource. Google says Article structured data can help it understand content and display information, but does not require the markup for eligibility in Google News features such as Top stories, and does not guarantee a particular search appearance.

Implementation work includes choosing the correct subtype, providing truthful author details, keeping dates accurate, and checking output with relevant validation tools. A technically valid snippet can still be unhelpful or misleading if the page's substance differs. This term is narrower than structured data in general and different from HowTo markup, which models procedural steps rather than the article as a whole. Avoid implying that adding schema guarantees richer results or higher rankings.