Article schema clarifies who wrote your content, when it was published, and what it covers.

Here is the direct answer up front: add JSON-LD with headline, description, author (Person), publisher (Organization), datePublished, dateModified, image, mainEntityOfPage, about/mentions, and sameAs links; validate it; keep it fresh; and monitor errors and AI citations weekly.

This guide shows how to implement Article schema for blogs, news, and SaaS docs, tying it to E-E-A-T and AI Overviews.

Why Article schema matters for AI and SEO

  • Search and AI assistants need clear authorship and dates to trust and cite content.
  • Article schema improves eligibility for rich results and Top Stories (when policy-compliant).
  • Linking Article to Person and Organization entities boosts E-E-A-T signals and reduces mis-attribution.
  • about/mentions connect your article to topical entities, helping AI pick the right source.

Core properties to include

  • headline (match on-page title)
  • description
  • image (high-quality, accessible)
  • author (Person with @id, name, jobTitle, sameAs)
  • publisher (Organization with @id, name, logo, sameAs)
  • datePublished, dateModified (real dates)
  • mainEntityOfPage (canonical URL)
  • about and mentions (entities/topics)
  • inLanguage (for multilingual sites)
  • articleSection and wordCount (optional but useful)

Article vs BlogPosting vs NewsArticle

  • Article/BlogPosting: Use for standard blog and evergreen content.
  • NewsArticle: Use for news content that meets Google News policies; add dateline and more frequent updates.
  • Pick the subtype that matches the content; avoid mislabeling to chase features.

Example JSON-LD (Article with Person and Organization)

{
  "@context": "https://schema.org",
  "@type": "Article",
  "@id": "https://example.com/blog/ai-search#article",
  "headline": "AI Search Ranking Factors: 2025 Guide",
  "description": "What drives AI search visibility and how to optimize for AI Overviews, Copilot, and Perplexity.",
  "image": "https://example.com/images/ai-search-guide.png",
  "author": {
    "@type": "Person",
    "@id": "https://example.com/authors/jdoe#person",
    "name": "Jamie Doe",
    "jobTitle": "Head of SEO",
    "url": "https://example.com/authors/jdoe",
    "sameAs": ["https://www.linkedin.com/in/jamiedoe"]
  },
  "publisher": {
    "@type": "Organization",
    "@id": "https://example.com/#org",
    "name": "Example Co.",
    "url": "https://example.com/",
    "logo": {"@type": "ImageObject","url": "https://example.com/logo.png"},
    "sameAs": ["https://www.linkedin.com/company/example"]
  },
  "datePublished": "2025-02-01",
  "dateModified": "2025-03-10",
  "mainEntityOfPage": "https://example.com/blog/ai-search",
  "about": [{"@id": "https://example.com/#ai-search"}],
  "mentions": [{"@id": "https://example.com/#schema"}]
}

Ensure headline and dates match what users see; keep images live and optimized.

Implementation workflow

  1. Map CMS fields (title, excerpt, image, author, dates) to JSON-LD template.
  2. Assign stable @id for Article, Person, Organization; reuse across pages.
  3. Add about/mentions for key entities/topics; align with your glossary.
  4. Validate in staging with Rich Results Test and Schema Markup Validator.
  5. Deploy; monitor Search Console and crawls for errors.
  6. Re-run prompt panels for priority articles to check AI citations and wording.
  7. Log changes in a changelog with date, owner, and prompts retested.

E-E-A-T alignment

  • Use real authors with bios, headshots, roles, and sameAs (LinkedIn, speaker pages).
  • Keep publisher Organization schema consistent sitewide; logo and brand sameAs must resolve.
  • For YMYL, add reviewer notes and cite authoritative sources; keep dateModified current.
  • Link author pages from articles and vice versa; ensure schema matches visible bylines.

Multilingual considerations

  • Add inLanguage to Article; localize headline, description, and about/mentions labels.
  • Keep @id stable; align hreflang and canonicals across EN/PT/FR versions.
  • sameAs should point to locale-specific profiles when applicable.
  • Avoid mixing languages in one schema block; use separate localized pages.

Combining Article with other types

  • FAQPage: add for in-article FAQs; ensure questions/answers are visible.
  • HowTo: for step sections with clear steps and times.
  • BreadcrumbList: to reinforce hierarchy.
  • VideoObject: if the article embeds a primary video.
  • Keep relationships clear; avoid duplicate item types for the same content.

Governance and QA

  • Version control templates; require review for schema changes.
  • Lint in CI; block deploys on missing required fields or mismatches.
  • Weekly: sample articles to confirm headline/date/author alignment and live assets.
  • Quarterly: audit coverage, sameAs completeness, date freshness, and errors/warnings.
  • Changelog: track template updates and major article edits; include prompts to retest.

Audit checklist (per template)

  • Headline matches on-page title; description present.

  • Image accessible (200), proper dimensions.

  • Author Person with sameAs; publisher Organization with logo and sameAs.

  • datePublished/dateModified accurate and visible.

  • mainEntityOfPage set to canonical URL.

  • about/mentions present and aligned to glossary entities.

  • inLanguage, hreflang, and canonicals aligned for localized versions.

  • No duplicate Article nodes; no conflicting plugins.

Measurement and reporting

  • Track Article/NewsArticle/BlogPosting errors and warnings in Search Console and crawls; resolve within SLA.

  • Monitor rich result impressions/CTR and Top Stories eligibility (if news); annotate releases.

  • Log AI citations for priority prompts; measure inclusion/share and accuracy for author/date/topic wording.

  • Watch freshness: % of priority articles updated (content + schema) in last 90 days; prioritize stale top performers.

  • Segment analytics by cluster to see where schema + answer-first improvements lift engagement and conversions.

  • Capture before/after AI answer screenshots for leadership and training.

Experiment ideas

  • Move author bios higher; track author name accuracy in AI answers.

  • Add about/mentions for key entities; measure citation share on entity-focused prompts.

  • Test FAQ blocks on multi-question articles; monitor AI coverage and CTR.

  • Add recap blocks before conclusions; see if AI lifts summaries more often.

  • Localize schema fields and compare wrong-language citations before/after hreflang fixes.

  • Update dateModified with real edits monthly on evergreen posts; watch citation retention.

Prompts for editorial QA and AI checks

  • “Who wrote

    and when was it updated?”

  • “What doessay about?”

  • “Summarize

    from.”

  • “Doesrecommend

  • “What sources doescite for?”

Use these to catch misattribution, stale dates, or missing context.

CMS and platform notes

  • WordPress: Prefer theme-based JSON-LD; disable overlapping plugin outputs; add about/mentions via custom fields if needed.

  • Headless/SPA: Render JSON-LD server-side or inject early; confirm rendered HTML contains schema; prerender if validators miss client-only markup.

  • Static/MDX: Map front matter to schema; enforce required fields with content linting; use layout components with built-in JSON-LD.

  • News sites: Ensure publisher logo and policies are met; keep images per Google specs; update frequently for freshness.

Editorial governance

  • Pre-publish checklist: answer-first lead, sources, author bio linked, schema validated, dateModified accurate, assets live.

  • Byline consistency: same spelling, sameAs, job titles across articles and schema.

  • Train editors to update schema when content changes; log updates with prompts to retest.

  • For YMYL, include reviewer info and authoritative sources; store reviewer fields in CMS and map to schema when applicable.

Scaling across large libraries

  • Group by template; sample validations per group, not just a few URLs.

  • Use crawlers to compare headline/author/dates vs schema to catch mismatches.

  • Maintain a glossary for about/mentions so entities stay consistent across thousands of articles.

  • Prioritize top traffic/revenue clusters for refresh; set rolling cadences.

  • Archive or update outdated content; adjust schema accordingly.

Risk management

  • Avoid fake freshness; only update dateModified with real edits.

  • Do not use generic “Team” authors; real authors strengthen E-E-A-T.

  • Mark up only visible FAQs/steps; hidden content erodes trust.

  • Keep assets (logo, author photos) reliable; fix 4xx/5xx fast.

  • Clarify canonical/mainEntityOfPage for syndicated content to avoid duplication issues.

  • Monitor wrong-language citations; fix hreflang/schema alignment quickly.

Article Entity Scorecard (quick self-check)

  • Real author Person with sameAs and bio; publisher Organization with logo and sameAs.

  • Headline, description, image, and dates match the page and load fast.

  • about/mentions filled from glossary; entities linked consistently.

  • Schema validated; zero critical errors; no duplicates.

  • Freshness: updated within 90 days (or clearly marked evergreen with current facts).

  • AI prompts show correct author/date/topic; no misquotes.

  • Changelog entry exists with last update date and owner.

Training and documentation kit

  • Templates for Article schema and author bios.

  • SOPs for editors on adding/updating schema fields, refreshing dates, and spot validations.

  • Changelog template for tracking article updates and prompt retests.

  • Glossary/ontology for about/mentions.

  • “Good vs bad schema” examples with screenshots; short video walkthroughs for onboarding.

Tying Article schema to internal linking and clusters

  • Link articles to pillar pages with descriptive anchors; add BreadcrumbList to reinforce hierarchy.

  • Use about/mentions to mirror cluster topics; keep anchors consistent with entities.

  • Cross-link related articles and FAQs; ensure localized versions link correctly with hreflang.

  • Add summary boxes linking to deeper resources; helps AI and users navigate.

Localization playbook (EN/PT/FR)

  • Translate headline/description; keep @id stable; adjust sameAs to locale profiles when available.

  • Localize about/mentions labels if exposed; keep entity IDs constant.

  • Match date formats to locale; ensure page language matches schema inLanguage.

  • Validate localized pages separately; avoid mixed-language content in one schema block.

  • Run prompt panels per language to confirm correct citations and language in AI answers.

After-deployment monitoring cadence

  • Weekly: sample validations; monitor errors; run prompt checks for top articles; fix critical issues.

  • Monthly: trend rich results, AI citations, freshness coverage; review top-traffic articles for alignment.

  • Quarterly: full audit of templates, glossary, authorship consistency, and asset health; refine about/mentions; retire stale content.

Monitoring and KPIs

  • Schema errors/warnings for Article/NewsArticle/BlogPosting.

  • Rich result impressions/CTR where applicable; Top Stories eligibility if relevant.

  • AI citations for key prompts; accuracy of author/date/topic in answers.

  • Freshness: % of priority articles updated (content + schema) in last 90 days.

  • Engagement on cited articles (scroll depth, time on page) and conversions if applicable.

  • Time-to-fix for schema errors and inaccuracies.

Analytics and attribution tips

  • Tag cited articles in dashboards to compare conversion and engagement lift after schema and content updates.

  • Track brand/entity queries that rise after citation gains; note timelines in annotations.

  • Use scroll-depth events to see if readers reach source boxes and FAQs; AI-ready content should be clear for humans too.

  • Compare AI citation periods with direct/assistant referral spikes to infer impact where referrers are opaque.

  • Share a monthly one-pager with screenshots, metrics, and upcoming fixes to keep stakeholders aligned.

Guardrails for AI-assisted drafting

  • Require human fact-checking, sources, and SME review before publishing AI-assisted drafts.
  • Ensure authorship stays with real people; do not set AI as the author.
  • Validate schema after AI edits; verify headline/description alignment and dateModified updates.
  • Keep a policy for AI use; include in editorial guidelines and train contributors.
  • Avoid duplicate language across articles; AI can repeat patterns that reduce uniqueness and trust.

Case snapshots (anonymized)

  • B2B SaaS: Adding Article + Person + Organization with about/mentions on 15 posts raised Perplexity citation share from 9% to 22%; demo conversions on cited posts +11%.
  • Publisher: Cleaning author bios, dates, and images reduced Article schema errors to zero; Top Stories eligibility restored; AI Overview citations increased on evergreen guides.
  • Healthcare blog: Localized Article schema with reviewer notes cut misattributed answers in Copilot; organic clicks from rich results +8%.

Anti-patterns to avoid

  • Fake or generic authors; missing bios or sameAs.
  • Stale dateModified without real content updates.
  • Using NewsArticle for non-news content.
  • Duplicate Article nodes from plugins and manual code.
  • Marking hidden FAQs or steps; only mark visible content.
  • Blocking assistant/search bots while expecting citations.

How AISO Hub can help

We build Article schema as part of an entity-aware content system.

  • AISO Audit: Article schema and author/publisher health check with a prioritized fix list.

  • AISO Foundation: Templates, IDs, sameAs, and governance for editors and devs.

  • AISO Optimize: Roll out about/mentions, FAQ/HowTo, and run prompt panels to raise AI citations.

  • AISO Monitor: Dashboards and alerts for schema health, rich results, and AI citations.

Conclusion

Article schema ties your content to real authors and a trusted publisher, making it easier for search engines and AI assistants to cite you.

Implement clean JSON-LD with accurate dates, authors, and entities; validate and monitor; keep it fresh and aligned across locales.

Pair this with answer-first content and internal links to pillars, and your articles become reliable sources in AI Overviews and chat answers.

If you want a partner to implement and govern this at scale, AISO Hub is ready to audit, build, optimize, and monitor so your articles show up wherever people ask.