GEO & AI Search

Person Schema: Building Author Authority for AI Citations

2025-12-16 Arun Nagarathanam

Quick Answer

Person schema is structured data that identifies content authors with verifiable credentials, expertise signals, and linked profiles. It's the authorship layer that tells AI who wrote your content and why they're qualified to write it. Implement Person schema on author profile pages and nest it within Article schema on every blog post to establish the author-content relationship AI platforms verify before deciding whether to cite your content.

You've written expert content. Your research is thorough. Your insights are original. But your author bio says "Marketing Team" with no photo and no credentials. When AI evaluates whether to cite you, it finds no evidence that a real, qualified person wrote this.

This authorship gap is why generic content rarely gets cited. AI platforms don't just evaluate content quality—they evaluate author credibility. Is this person real? What's their expertise? Can their credentials be verified across the web? Without Person schema, you're asking AI to trust anonymous content.

Person schema is how you prove authorship. It connects your content to a verifiable person with credentials AI can cross-reference and trust.

What Is Person Schema?

Person schema is structured data markup that identifies individuals—specifically content authors—with properties like name, job title, employer, education, social profiles, and expertise areas. It's the machine-readable version of an author bio.

Core Person Schema Properties for Authors

name

Author's full name (as it appears professionally).

Use consistent name across all platforms—AI checks for matches.

url

Link to author's profile page on your website.

This becomes the author's canonical entity home.

image

Professional headshot (real photo, not stock or avatar).

Human faces signal real authorship—AI can detect stock photos.

jobTitle

Current professional role that establishes topical expertise.

"SEO Director" is more credible than "Marketing Specialist" for SEO content.

sameAs

Array of URLs to verified profiles (LinkedIn, Twitter, GitHub, etc.).

Critical for AI verification—links person to broader web identity.

worksFor / hasOccupation

Links author to Organization schema, showing institutional affiliation.

Employment verification strengthens expertise claims.

According to Google's Article schema documentation, adding author information helps Google understand who created the content and what their qualifications are—a signal increasingly important as AI-generated content proliferates.

Why Authorship Matters to AI Engines

AI platforms face a fundamental problem: determining content trustworthiness at scale. With billions of pages to evaluate, verifiable authorship becomes a filtering mechanism. Content with structured, credentialed authors gets prioritized over anonymous content.

48%

of ChatGPT citations go to Wikipedia

Wikipedia's author verification and editorial oversight make it AI's most-cited source—author credibility drives citations.

Source: TryProfound →

85%

of AI-cited sources show E-E-A-T signals

AI-cited content exhibits 3+ of 4 E-E-A-T signals, with author expertise being the most verifiable dimension.

Source: Agenxus →

Research from Conductor shows that verified authorship, citations from credible studies, and visible credentials help AI distinguish trustworthy sources from generic content. Without structured Person data, your author is indistinguishable from AI-generated or low-quality content.

The key insight: AI doesn't trust content—it trusts authors. Person schema is the verification layer that proves a real, qualified person stands behind your claims. No schema = no verifiable authorship = lower citation likelihood.

The E-E-A-T Connection

Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) has become even more critical with AI search. Person schema directly addresses three of the four dimensions.

Experience

First-Hand Knowledge Verification

AI looks for evidence that the author has direct experience with the topic. Person schema properties like worksFor (showing employment in relevant industry), alumniOf (education credentials), and hasOccupation (professional role) provide machine-readable proof.

Example: An author with jobTitle: "SEO Director" and worksFor: "Digital Agency" has verifiable experience writing about SEO.

Expertise

Credential Cross-Referencing

The sameAs property lets AI verify author credentials across platforms. If your schema links to a LinkedIn profile showing 10 years of SEO experience, a university alumni page confirming education, and a conference speaker listing, AI can corroborate expertise claims.

According to Hill Web Creations, linking to talks, GitHub contributions, and led projects with real photos (not stock) helps Google verify the author is the same person across platforms.

Authoritativeness

Publication History & Recognition

AI checks if the author has published elsewhere, spoken at events, or been cited by others. While not a direct Person schema property, linking to author archives (via url to profile page) where AI can see publication history establishes authority.

An author profile showing 50+ published articles on the same topic signals sustained expertise more credibly than a single post.

How to Implement Person Schema

Person schema appears in two places: on the author's profile page (standalone) and nested within Article/BlogPosting schema on every piece of content they write.

Implementation #1: Author Profile Page

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Jane Smith",
  "url": "https://www.yoursite.com/author/jane-smith",
  "image": "https://www.yoursite.com/images/jane-smith.jpg",
  "jobTitle": "Senior SEO Strategist",
  "worksFor": {
    "@type": "Organization",
    "name": "Digital Marketing Agency"
  },
  "alumniOf": {
    "@type": "EducationalOrganization",
    "name": "University of Marketing"
  },
  "description": "Jane has 12 years of experience in technical SEO, specializing in enterprise-level optimizations. She's spoken at MozCon, BrightonSEO, and contributed to Search Engine Land.",
  "sameAs": [
    "https://www.linkedin.com/in/janesmith",
    "https://twitter.com/janesmith",
    "https://github.com/janesmith"
  ],
  "knowsAbout": ["SEO", "Technical SEO", "Content Strategy", "GEO"]
}
</script>

Implementation #2: Nested Within Article Schema

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "How to Build Backlinks in 2025",
  "datePublished": "2025-12-16",
  "author": {
    "@type": "Person",
    "name": "Jane Smith",
    "url": "https://www.yoursite.com/author/jane-smith",
    "sameAs": [
      "https://www.linkedin.com/in/janesmith",
      "https://twitter.com/janesmith"
    ]
  },
  "publisher": {
    "@type": "Organization",
    "name": "Your Company",
    "logo": {
      "@type": "ImageObject",
      "url": "https://www.yoursite.com/logo.png"
    }
  }
}
</script>

Building Citation-Worthy Author Profiles

An author profile page isn't just a bio—it's the entity home for that person. AI platforms use it to verify credentials and assess expertise breadth.

Citation-Worthy Profile Elements

Professional Headshot

Real photo, not stock. AI can detect stock images and discounts them as trust signals.

Verifiable Job Title & Employer

Should match LinkedIn. If schema says "SEO Director at XYZ Corp" but LinkedIn says "Marketing Manager," AI sees inconsistency.

Education & Certifications

Degrees, professional certifications (Google Analytics, HubSpot, etc.), relevant training.

Publication Archive

List of all articles by this author on your site, showing expertise depth across time.

External Mentions

Guest posts, conference talks, podcast appearances, third-party citations—evidence of broader recognition.

Social Proof Links (sameAs)

LinkedIn, Twitter, GitHub, personal website—anywhere AI can verify the person exists beyond your site.

According to Aubrey Yung's analysis, creating dedicated pages for each author with unique URLs and implementing Person markup ensures AI can distinguish between contributors and evaluate individual expertise independently.

What Breaks Author Authority

Generic "Content Team" Attribution

AI sees no verifiable person. Use individual author names or create detailed Team Person schema with collective credentials.

Missing or Broken sameAs Links

If your schema links to LinkedIn but the profile is private or deleted, AI can't verify. Test all sameAs URLs regularly.

Stock Photos or No Photos

AI detects stock images. No photo = lower trust signal. Use real headshots, even if informal.

Job Title Doesn't Match Content Topic

A "Social Media Manager" writing about technical SEO lacks topical authority. Either adjust attribution or build expertise evidence.

Frequently Asked Questions

Does every blog post need Person schema?

Yes. Every article should have Person schema for the author, nested within Article or BlogPosting schema. This tells AI who wrote it and links to their credentials. Without it, AI sees anonymous content—harder to trust, less likely to cite.

What if I use a pen name or team attribution?

You can use Person schema for pen names, but you still need a real author profile page with credentials. For 'Content Team,' create individual profiles for actual writers and rotate attribution, or create a Team Person with collective credentials. Anonymous content ranks lower in AI trust.

How detailed should my author profile be?

Minimum: Name, photo, job title, brief bio, social links (sameAs). Better: Education, work history, publications, speaking engagements, expertise areas. Best: Verifiable credentials AI can cross-reference (LinkedIn showing same role, university alumni pages, conference speaker lists).

Can I use the same Person schema for multiple authors?

No. Each author needs their own unique Person schema with individual credentials. AI platforms check if multiple pieces cite the same author to evaluate expertise breadth. Shared generic schemas dilute authority signals.

Ready to Build Verifiable Author Authority?

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