Article Schema: Required Properties, Recommended Fields, and QA

Article schema is Schema.org structured data that identifies a page’s article and describes properties such as its headline, author, publication and modification dates, and representative images. For Google’s Article feature, the current documentation accepts Article, NewsArticle, or BlogPosting and lists recommended properties rather than a separate set of mandatory Article properties.

That last point corrects a common implementation mistake. Schema.org defines a broad vocabulary; Google documents the subset and behavior it uses for Google Search features. A field can be valid Schema.org without being a Google Article recommendation, and Google’s recommendations can change independently of the vocabulary.

“No required properties” in Google’s current Article documentation does not mean “anything is useful.” It means eligibility is not expressed as a mandatory Article-field checklist; applicable properties still need to be truthful, correctly typed, visible or supported by the page, and technically accessible.

The current property picture

Google’s Article documentation recommends the following core fields when they apply:

PropertyWhat it should representHigh-risk QA question
authorEvery author visibly credited on the pageDoes each author have the right type, name, and identifying URL?
author.nameThe author’s name onlyDid a template append a job title, publisher, or “posted by”?
author.url or sameAsA URL that identifies the authorIs it an actual identity page rather than an unrelated profile?
datePublishedThe first publication dateIs this a real publication event rather than an SEO freshness rewrite?
dateModifiedThe most recent substantive modification dateDid the visible page and content actually change?
headlineThe article titleDoes it match the visible article and stay concise?
imageA representative article imageIs it crawlable, indexable, relevant, and not merely a logo or caption?

Google also recommends multiple high-resolution representative images in 16:9, 4:3, and 1:1 aspect ratios for best results. That is a Google recommendation, not permission to generate nonexistent variants or mark a logo as an article image.

Google’s current Article documentation names Article, NewsArticle, and BlogPosting; lists author, dateModified, datePublished, headline, and image as recommended properties; and says there are no required Article properties.

A minimal JSON-LD pattern

The following is illustrative markup, not a claim about a real publisher or page. Replace every example value from the rendered article and its canonical data model.

{
  "@context": "https://schema.org",
  "@type": "Article",
  "@id": "https://example.com/insights/article#article",
  "mainEntityOfPage": "https://example.com/insights/article",
  "headline": "A visible article headline",
  "datePublished": "2026-08-01T09:00:00+08:00",
  "dateModified": "2026-08-24T14:00:00+08:00",
  "author": {
    "@type": "Organization",
    "name": "Example Editorial Team",
    "url": "https://example.com/about"
  },
  "image": [
    "https://example.com/images/article-16x9.jpg",
    "https://example.com/images/article-4x3.jpg",
    "https://example.com/images/article-1x1.jpg"
  ]
}

JSON-LD is not the only supported format. Google supports JSON-LD, Microdata, and RDFa, and generally recommends JSON-LD because it is easier to maintain without interleaving the graph throughout visible HTML. Use the format the publishing system can keep synchronized.

The @id and mainEntityOfPage fields appear here as useful identity structure from Schema.org, not as fields Google lists as mandatory in its current Article feature table. Keep that difference visible in documentation so an engineering convention does not become a fabricated platform requirement.

Choose the type from the page, not the desired feature

Use Article for a general article. Use BlogPosting when the page is a blog post and that distinction is meaningful in the publisher’s model. Use NewsArticle for news reporting, not merely because the team hopes for a news feature.

The subtype should describe the visible object. Markup is not a costume that changes an evergreen explainer into reporting, an opinion into an investigation, or a product page into an editorial article.

Schema.org’s Article type inherits many properties from CreativeWork and Thing. Those include useful relationships such as mainEntityOfPage, about, mentions, sameAs, and publisher. A property belongs only when its meaning and expected value type match the page.

Keep the graph derived from one publishing record

The most reliable implementation does not ask editors to maintain a second hidden article. It derives structured data from the same canonical fields that render the page:

  • the displayed title supplies headline;
  • the contributor registry supplies author type, name, and identity URL;
  • the publication system supplies real publication and modification events;
  • the media record supplies canonical, crawlable image variants;
  • the canonical URL supplies page identity;
  • the visible content model supplies any about or mentions relationships.

When two templates independently own these facts, drift is predictable. An article can show one author and mark up another; an automatic daily build can change dateModified without a content revision; a social-card path can replace a representative editorial image; or a translated page can inherit the wrong canonical URL.

Google recommends including all visibly presented authors in markup, using author-identifying URLs, and keeping structured data representative of page content. Its general guidance favors fewer complete and accurate properties over a larger inaccurate set.

Publication dates need event semantics

datePublished is the first publication date. dateModified is the most recent modification date. They are not interchangeable, and neither should be changed merely because a page was rebuilt, crawled, or included in a new sitemap.

Define which content event updates dateModified: a substantive correction, new section, materially refreshed source set, or another approved change. A typographic fix may or may not qualify under the publisher’s policy, but the policy should be consistent and the visible date treatment should not contradict the graph.

Timezone information is recommended for DateTime values. Dates without time can be valid in Schema.org contexts, but a publishing system that knows the precise event should not discard the timezone and then invent a day boundary later.

Author markup is an identity problem

Google recommends one author entry per visible author and says author.name should contain the name only. Put the publisher in publisher, a job title in jobTitle, and descriptive text on the linked profile page.

Use Person when a named person wrote or reviewed the article under the site’s contributor policy. Use Organization when the visible byline and editorial responsibility genuinely belong to a team or organization. Do not manufacture a person byline to make markup look richer.

A stable internal contributor page is often the cleanest author.url. sameAs can reference an unambiguous identity page, but it should not become a list of loosely related URLs. Its semantic job is identity, not promotion.

Run three different validations

Schema QA has three layers because one green check cannot cover the whole deployment.

Validate vocabulary and syntax

Run the generated graph through Schema.org’s Schema Markup Validator. Fix invalid JSON, wrong types, misspelled properties, and malformed nested values.

Validate the Google feature

Run Google’s Rich Results Test. Resolve critical issues and review non-critical issues without inventing values simply to clear a warning.

Validate the rendered URL

Deploy a small set, confirm Google can access the canonical page and image URLs, inspect the rendered source, and check that visible article facts match the graph.

Monitor the template after release

Use Search Console and template-level tests to detect pages that break after a CMS, author model, image pipeline, canonical rule, or date behavior changes.

The validators answer different questions. The Schema Markup Validator focuses on Schema.org structure. The Rich Results Test focuses on Google-supported result types. A deployed-page inspection catches robots, canonical, rendering, or environment issues that pasted code cannot reveal.

Google’s implementation sequence includes validation, limited deployment, URL inspection, and monitoring. Schema.org and Google expose separate validators because vocabulary correctness and Google feature handling are not the same test.

A production QA checklist

Before release, inspect one article from every template variant and automatically assert the mechanical parts across all pages.

LayerMechanical checkEditorial check
Identitycanonical URL, @id, and mainEntityOfPage are valid and stablethe graph describes this page, not a parent hub or duplicated article
Typevalue is an allowed Schema.org typesubtype matches the visible editorial object
Headlinenonempty, correctly escaped, same localeconcise and faithful to the displayed headline
Authorcorrect value type and valid URLevery visible author appears; no invented identity detail
DatesISO format, timezone, publication not after modificationdates correspond to real editorial events
ImagesHTTPS, resolvable, supported file, accessible dimensionsimages represent the article and are not logos or captions
Renderingexactly one intended graph, valid JSON after hydrationvisible page and hidden graph tell the same story

Passing QA creates a maintainable description of the article. It does not create a ranking entitlement.

What Article schema cannot prove

Structured data can give Google explicit clues and can make a page eligible for supported search appearances. It cannot prove that the article is accurate, original, useful, or authoritative. A complete graph around weak content is still weak content.

It also cannot guarantee that Google indexes the URL, chooses a rich result, displays a particular image, creates a Knowledge Panel, or cites the page in a generated answer. Treat those outcomes as separately observed events with their own evidence.

The decision
Implement the smallest accurate Article graph your publishing system can keep synchronized, then validate vocabulary, Google feature handling, and the deployed page as three separate gates.

Sources

  1. Google Search Central, “Article structured dataSupports: Google supports Article, NewsArticle, and BlogPosting for the Article feature; Current Google documentation lists recommended Article properties and says there are no required properties; The implementation workflow includes validation, deployed-page inspection, and monitoring. Checked 2026-08-24.Limitation: This is Google-specific feature guidance and does not define every valid Schema.org property or guarantee search appearance.
  2. Google Search Central, “Introduction to structured data markup in Google SearchSupports: Structured data provides explicit clues about page meaning; Google supports JSON-LD, Microdata, and RDFa and generally recommends JSON-LD; Accurate complete properties matter more than filling every possible field. Checked 2026-08-24.Limitation: This explains Google Search use and feature eligibility, not ranking lift or support in every consumer.
  3. Schema.org, “ArticleSupports: Article is a Schema.org CreativeWork type with Article-specific and inherited properties; Schema.org describes properties beyond Google's Article feature documentation. Checked 2026-08-24.Limitation: Vocabulary validity does not mean a property is used by Google for a specific search feature.
  4. Schema.org, “Schema Markup ValidatorSupports: Schema.org provides a validator for markup vocabulary and syntax. Checked 2026-08-24.Limitation: A successful vocabulary validation does not test every search-engine feature requirement or deployed rendering condition.
  5. Google Search Console, “Rich Results TestSupports: Google provides a test for supported rich-result structured data. Checked 2026-08-24.Limitation: A passing result indicates test eligibility and detected markup, not guaranteed indexing, ranking, or display.

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