Content Schema

Incorrect
Article Schema

Google doesn't know if this page is news, a blog post, or an opinion piece.

Where to find it: Google Rich Results Test > Article > Errors & Missing Fields

What It Is

Article schema tells Google the content type, authorship, publication date, and editorial context of written content — distinguishing between a NewsArticle (breaking news from a publisher), a BlogPosting (opinion or editorial from an individual), and a standard Article (informational content). When article schema is missing, uses the wrong subtype, or lacks critical fields like author and datePublished, Google is left to infer content type from signals it finds far less reliable. This weakens E-E-A-T signals, reduces eligibility for Top Stories and Discover placements, and removes the authorship signal that AI citation systems use to evaluate trustworthiness.

Why It Matters

Correct Article schema is one of the most direct implementations of E-E-A-T signals available. It tells Google explicitly who wrote the content, when it was published, when it was last updated, and what type of content it is. For content-driven clients — blogs, news sites, agencies with resource sections — Article schema with complete author markup is a key AI citation signal. AI systems use author entity markup to determine whether content comes from a verifiable, trustworthy source. Missing or incorrect article schema removes that signal entirely.

Root Diagnostics

Common Causes

Understanding why this failure occurs is the first step to fixing it permanently.

No Article Schema at All

Blog posts and articles on the site have no schema markup. This is common on older WordPress installs, custom-built sites, and sites where SEO plugins were installed but schema wasn't configured.

Wrong Article Subtype

The site uses the generic Article type for all content. News publishers should use NewsArticle. Blogs should use BlogPosting. Using the wrong subtype sends Google imprecise content-type signals that affect placement eligibility.

Missing Author Entity Markup

Article schema exists but the author property is a plain text string (author: 'Jane Smith') rather than a Person entity with a URL pointing to an author page with Person schema. This prevents Google from verifying the author as a real entity.

Missing datePublished and dateModified

Article schema exists but lacks datePublished and/or dateModified in ISO 8601 format. Google uses these for freshness signals and for determining whether content is eligible for time-sensitive rich result placements.

Interactive Standard Operating Procedure

The Fix Blueprint (Interactive SOP)

Check off each step to monitor your implementation progress live!

Implementation Progress: 0% Completed (0/7)

1. Identify the Correct Article Subtype

Determine the appropriate Article subtype for each content type on the site: NewsArticle for timely news from a publisher, BlogPosting for personal or editorial blog content, Article for general informational content like guides and tutorials. Apply the most specific type.

2. Audit Existing Article Schema Implementation

Run 3–5 representative articles through Google's Rich Results Test. Document which fields are present and which are missing. Check for author property format — is it a string or a Person entity? Are dates in ISO 8601 format?

3. Build Complete Author Entity Markup

The author property must reference a Person entity with at minimum: @type: Person, name, and url (pointing to the author's bio page on the site). Ideally also include sameAs links to the author's LinkedIn, Twitter, and Wikidata profiles.

4. Add datePublished and dateModified in ISO 8601 Format

Both dates must be in ISO 8601 format: 2025-04-15T09:00:00+00:00. Many CMS setups output dates in human-readable format rather than ISO format — fix the template to output machine-readable dates.

5. Include image, headline, and publisher

Complete Article schema should also include: image (a URL to the article's featured image), headline (the article title, under 110 characters), and publisher (Organization with name and logo). These are required for Google News and Top Stories eligibility.

6. Fix at the Template Level for CMS Sites

For WordPress or other CMS platforms, fix Article schema in the post template or configure the SEO plugin's schema settings. One template fix propagates to all existing and future articles on the site.

7. Validate and Monitor

Run a sample of fixed articles through the Rich Results Test. Confirm all fields pass. Check Search Console Rich Results report for Article over the following weeks. Monitor for Top Stories or Discover appearances on eligible content.

Tools

Google's Rich Results Test
Free (search.google.com/test/rich-results) | Tests Article schema completeness and shows which fields are missing or incorrectly formatted
Google Search Console Rich Results Report
Free | Monitors Article schema status across all indexed articles and surfaces errors as they appear
Yoast SEO or Rank Math (WordPress)
Free/Paid | Both plugins handle Article schema output — configure author entity settings to enable full Person markup with URL references

Time to Fix

1 hour

To audit article schema across representative pages

Hours

Template fix propagates to all articles at once

Pro Tip

Author schema is the most important field for AI citation eligibility — prioritize it.

Of all the Article schema fields, the author Person entity with a URL to an author page is the single most important for AI search visibility. AI systems use this to verify that content comes from a real, identifiable entity. A plain-text author name ('author: Jane Smith') provides no verifiable identity. A Person entity with a URL to an author bio page that itself has Person schema and sameAs links creates a verifiable authorship chain that AI systems actively use for citation decisions.

Incorrect Article Schema