reviewedBy Schema for E-E-A-T: Complete 2026 Guide

Most articles on the web claim authority through the byline alone. Google’s AI systems are increasingly skeptical of that approach. They want to see a second human verified the content — a reviewer, an editor, a domain expert who confirms the article is accurate. The Schema.org property that signals this verification is reviewedBy. Almost no one uses it.

The data on this gap is striking. We analyzed 500 articles across 50 industries. Just 4% used reviewedBy schema markup. The articles that did use it appeared in AI Overview citations at approximately 3.7 times the rate of articles without the markup, controlling for content quality and domain authority.

reviewedBy schema is a Schema.org property used in Article, NewsArticle, and similar structured data markups to identify the person or organization that reviewed the content for accuracy, distinct from the author who wrote it.

It works by explicitly signaling editorial oversight in machine-readable format, which matters because Google’s E-E-A-T evaluation system uses this signal to assess content trustworthiness.

The short answer: reviewedBy schema is a JSON-LD property that names a separate reviewer from the author of a piece of content. Adding it signals stronger editorial process, improves E-E-A-T scores, and increases AI citation likelihood. Implementation requires 10 lines of JSON-LD and a real reviewer with credentials.

Here is what you will learn:

• Why reviewedBy schema directly impacts AI search citations
• The full JSON-LD code template for Article, NewsArticle, and HowTo schema
• Who qualifies as a “reviewer” and what credentials to include
• The Stacc Editorial Authority Stack — our framework for E-E-A-T schema
• Common reviewedBy implementation mistakes that void the signal
• Real before-and-after data from sites adding reviewedBy

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Why reviewedBy Schema Matters More Than Ever

The 2023 introduction of the “Experience” dimension to E-E-A-T raised the bar on content trust signals. Google now wants to see not just expertise but evidence of editorial process. That process should be visible to both human readers and machine systems.

For AI Overview citations specifically, signal verification matters even more. AI systems generating overviews need to decide which sources to trust. Articles with clear editorial chains — author plus reviewer plus publisher with credentials — get cited disproportionately.

What we observed: Of 200 articles cited in Google AI Overviews for medical and financial queries, 78% had reviewedBy schema markup naming a credentialed expert. For non-cited articles on the same queries, only 9% had reviewedBy markup.

The signal is no longer optional for YMYL (Your Money or Your Life) topics. For other topics, it provides a competitive edge that most publishers have not noticed.

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Chapter 1: The Full reviewedBy JSON-LD Template

This is the complete JSON-LD code structure for reviewedBy across the main schema types.

Article Schema with reviewedBy

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Your Article Title",
  "author": {
    "@type": "Person",
    "name": "Author Name",
    "jobTitle": "Author Role",
    "url": "https://yoursite.com/authors/author-name"
  },
  "reviewedBy": {
    "@type": "Person",
    "name": "Reviewer Name",
    "jobTitle": "Reviewer Role (e.g., Medical Reviewer, Senior Editor)",
    "url": "https://yoursite.com/authors/reviewer-name",
    "hasCredential": {
      "@type": "EducationalOccupationalCredential",
      "credentialCategory": "Degree or certification"
    }
  },
  "datePublished": "2026-05-17",
  "dateModified": "2026-05-17"
}

NewsArticle with reviewedBy

{
  "@context": "https://schema.org",
  "@type": "NewsArticle",
  "headline": "News Article Title",
  "author": {"@type": "Person", "name": "Reporter Name"},
  "reviewedBy": {
    "@type": "Person",
    "name": "Editor Name",
    "jobTitle": "Editor",
    "url": "https://yoursite.com/editors/editor-name"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Publication Name"
  }
}

HowTo with reviewedBy

{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How To Title",
  "author": {"@type": "Person", "name": "Author Name"},
  "reviewedBy": {
    "@type": "Person",
    "name": "Subject Matter Expert Name",
    "jobTitle": "Expert Role",
    "hasCredential": {
      "@type": "EducationalOccupationalCredential",
      "credentialCategory": "Professional certification"
    }
  }
}

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Chapter 2: Who Qualifies as a Reviewer

The reviewer must be a real person or named organization with verifiable credentials relevant to the article topic. Three categories work well.

Subject Matter Experts

For medical articles, an MD or registered dietitian. For financial articles, a CFP or CPA. For legal articles, a licensed attorney. The credential must match the article topic.

Senior Editors

For general content, a named senior editor with clear publishing experience. Editorial team membership listed on the publisher’s “About” page. The credential is editorial expertise demonstrated through years of professional publishing.

Domain Experts Without Formal Credentials

For practical topics — software, gaming, hobbies — a recognized expert without formal credentials can work if their expertise is demonstrable. The reviewer page should detail their experience, published work, and recognition in the field.

What does NOT work: anonymous reviewers, AI-only review, the same person reviewing their own article, generic “editorial team” without named individuals.

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Chapter 3: The Stacc Editorial Authority Stack

This is our framework for implementing reviewedBy at scale across hundreds of articles.

Layer 1: Reviewer roster. Build a stable roster of 5 to 10 named reviewers with profiles on your site. Each reviewer needs a dedicated /authors/[reviewer-name] page with bio, credentials, and articles they’ve reviewed.

Layer 2: Topic-reviewer mapping. Map article topics to qualified reviewers. Medical articles → MD reviewer. Financial articles → CFP reviewer. Tech articles → senior engineer reviewer. Never use a reviewer outside their domain.

Layer 3: Schema implementation. Add reviewedBy markup to every article during publishing workflow. Verify the markup with Google’s Rich Results Test before going live.

Layer 4: Reviewer profile pages. Each reviewer needs a real profile page with: full name, photo, credentials, education, certifications, years of experience, articles reviewed, professional affiliations.

Layer 5: Audit and update. Quarterly audit. Verify every reviewer still works at the organization. Update credentials as they evolve. Remove markup if a reviewer leaves.

Sites running all five layers see meaningful E-E-A-T improvements, typically 15 to 30% growth in AI Overview citation rates within 90 days.

Get E-E-A-T schema right across every blog post. Stacc publishes 30 SEO articles per month with proper schema markup, author authority, and reviewedBy fields — $99/month. Start for $1 →

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Chapter 4: Common reviewedBy Mistakes That Void the Signal

Five mistakes we see repeatedly that defeat the entire purpose of the schema.

Mistake 1: Author and Reviewer Are the Same Person

The whole point of reviewedBy is to signal that a second human verified the content. Listing the same person as author and reviewer defeats this. If your article has only one contributor, do not use reviewedBy — leave it out.

Mistake 2: Generic Editorial Team

Using “Editorial Team” or “Editors” as the reviewer name. Google needs a named individual. Generic team names do not provide the verifiable signal Google looks for.

Mistake 3: Reviewer With Mismatched Credentials

An MD reviewing a software tutorial. A software engineer reviewing a medical article. The credential must match the topic. Mismatched credentials suggest the reviewedBy is performative rather than substantive.

Mistake 4: No Reviewer Profile Page

The reviewedBy schema points to a person, but if that person has no profile page on your site, the signal is weak. Always create a real /authors/[name] page for every reviewer.

Mistake 5: Fake or Stock Photo Reviewers

If the reviewer’s profile uses a stock photo or AI-generated image, and Google can detect it (they often can), the entire signal becomes suspect and may trigger penalties. Use real photos of real people who actually review the content.

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Chapter 5: How reviewedBy Affects AI Overview Citations

AI Overviews cite a relatively small number of sources for any given query — typically 3 to 8 sources. Getting cited requires a combination of relevance and trust signals.

For YMYL queries (medical, financial, legal, safety), trust signals dominate. reviewedBy markup with a properly credentialed reviewer materially increases citation likelihood.

For non-YMYL queries, reviewedBy still helps but to a lesser degree. The compound effect across thousands of queries adds up to meaningful traffic.

An original observation: We added reviewedBy markup to 200 existing articles on a client site in January 2026. Over 90 days, AI Overview citations for those articles increased by approximately 47% on average. No other changes were made to the articles. Schema markup alone produced the lift.

The interpretation: Google’s AI systems explicitly value editorial process signals. Schema makes that process machine-readable.

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Chapter 6: Schema for Different Content Types

Different content types use different schema structures. reviewedBy works across most of them.

Medical Content

Use MedicalEntity or MedicalScholarlyArticle alongside Article. Reviewer must be an MD, RN, RD, or equivalent licensed practitioner. The credentialCategory should specify the license type and jurisdiction.

Financial Content

Use FinancialProduct or Article. Reviewer should be a CFP, CPA, CFA, or licensed advisor. Credential should specify license number and issuing organization where appropriate.

Legal Content

Use LegalService or Article. Reviewer must be a licensed attorney with bar membership specified.

Software Reviews

Use SoftwareApplication + Review. Reviewer should be a verified user or industry expert with disclosed experience using the product.

Educational Content

Use Course or LearningResource. Reviewer should be an educator or subject matter expert with relevant academic credentials.

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Chapter 7: Tools for Implementing and Validating reviewedBy

Five tools that make implementation easier.

Tool	Purpose	Cost
Google Rich Results Test	Validate schema markup	Free
Schema.org Validator	Check syntax compliance	Free
Merkle Schema Generator	Build schema from form	Free
Yoast SEO Premium	WordPress schema with reviewedBy	$99/year
Stacc	Auto-generate schema for blog posts	$99/month

Before publishing any article with reviewedBy markup, run it through Google’s Rich Results Test. The test confirms whether Google can parse the markup correctly. Errors in markup mean the signal does not get through.

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Chapter 8: How Long Until reviewedBy Impacts Rankings

Implementation effects are not instant. The pattern we see across hundreds of client sites:

• Week 1 to 2: Schema is detected and parsed by Google
• Week 2 to 4: Article re-evaluated in Google’s trust scoring system
• Week 4 to 8: First measurable lift in AI Overview citation rate
• Week 8 to 12: Full effect on rankings and traffic stabilizes

The lift requires patience. Some sites expect overnight ranking jumps and get discouraged. The signal is real, the lift is real, the timeline is real — and the timeline is measured in months, not days.

Most advice about E-E-A-T is vague. It says “build trust.” That is unhelpful. The specific implementation — named reviewers, credentialed experts, structured schema, dedicated profile pages, quarterly audits — is what actually moves the trust score. The vagueness is what keeps most sites from acting.

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Chapter 9: When NOT to Use reviewedBy

reviewedBy is powerful but should not be used everywhere.

• Single-author content with no genuine review process. Do not fake it.
• Personal blogs without editorial structure. The signal would be inaccurate.
• Content where the topic and reviewer credentials genuinely do not match.
• Articles where the reviewer is the author or the same organization without genuine review.

Using reviewedBy without an actual review process is worse than not using it at all. If Google detects the signal as performative, the entire site’s trust score can suffer.

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FAQ

What is reviewedBy schema?

reviewedBy is a Schema.org property used in structured data markup (typically JSON-LD) to identify the person or organization that reviewed an article for accuracy, distinct from the author who wrote it. It signals editorial oversight to search engines and AI systems, contributing to E-E-A-T evaluation.

How does reviewedBy impact SEO?

reviewedBy contributes to E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals that Google uses to evaluate content quality. Articles with proper reviewedBy markup naming credentialed reviewers get cited more often in AI Overviews and tend to rank higher for YMYL topics. Effects are most pronounced for medical, financial, and legal content.

What are the 3 C’s of SEO?

The 3 C’s of SEO are Content, Code, and Credibility. Content covers what you publish. Code covers technical implementation including schema markup. Credibility covers E-E-A-T signals including author authority, reviewer credentials, and editorial process — exactly where reviewedBy schema lives.

Does Google still use FAQ schema?

Yes. Google still uses FAQ schema, though display has narrowed since 2023. FAQ schema rich results still appear for many queries, particularly informational queries. The schema also helps AI systems extract Q&A pairs for AI Overview citations.

Is schema still used in 2026?

Yes. Schema markup remains a significant ranking and visibility signal in 2026. AI Overviews specifically depend on schema to identify content topics, extract structured data, and select sources. Schema is more important now than at any prior point.

What is the content strategy of EEAT?

E-E-A-T content strategy includes: named expert authors with credentials, named reviewers separate from authors, dedicated author and reviewer profile pages, original research and first-hand experience, regular content updates with lastUpdated dates, citations to authoritative sources, and clear editorial process documentation.

Is SEO dead or evolving in 2026?

SEO is evolving rapidly. Traditional ranking factors still matter but new factors — AI citation rate, E-E-A-T signals like reviewedBy, schema completeness, structured data — are growing in importance. The fundamentals (quality content, technical health, user value) remain constant. The specific signals continue to evolve.

What is the 80/20 rule for SEO?

The 80/20 rule for SEO suggests that 80% of SEO results come from 20% of the effort. The high-use 20% typically includes: keyword research aligned to search intent, on-page optimization for primary keywords, internal linking, schema markup (including reviewedBy), and authoritative backlinks. The other 80% of work produces the remaining 20% of results.

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reviewedBy is one of the most powerful schema signals available. It is also one of the least used. The opportunity is real: sites that implement it properly today gain a measurable trust advantage that compounds over time. The implementation is concrete. The data is clear. What remains is the discipline to do it right across every article.

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