Person Schema for Founders and Authors: Building a Personal Entity So AI Recognizes You

When AI answers a question about a particular field, it is not just searching for information — it is searching for a trustworthy person in that field. If you are the founder of a SaaS company, a marketing expert, or a personal finance blogger, Person schema is how you tell AI: "I am real, I have expertise, and here is the proof."

Without a complete Person schema, you are just a name in a paragraph. With a properly structured Person schema and entity graph, you become a node in the knowledge graph — one that AI can connect, cite, and recommend.

Author text vs Person entity — the real difference

The most important difference: when multiple articles point to the same Person entity via author: \{"@id": ...\}, they accumulate topical authority into the same person. AI understands this is a consistent expert in the field, not many scattered authors.

All Person schema fields — priority levels

Full JSON-LD Person schema for a founder

{
  "@context": "https://schema.org",
  "@type": "Person",
  "@id": "https://example.vn/tac-gia/tran-minh-duc",
  "name": "Trần Minh Đức",
  "givenName": "Đức",
  "familyName": "Trần",
  "jobTitle": "Founder & CEO",
  "description": "Founder AEO Saigon, 8 năm kinh nghiệm SEO/AEO cho thị trường Việt Nam. Đã tư vấn cho 200+ doanh nghiệp SME về chiến lược nội dung và tối ưu AI visibility.",
  "url": "https://example.vn/tac-gia/tran-minh-duc",
  "image": {
    "@type": "ImageObject",
    "url": "https://example.vn/images/tran-minh-duc.jpg",
    "width": 400,
    "height": 400
  },
  "sameAs": [
    "https://www.wikidata.org/wiki/Q123456789",
    "https://www.linkedin.com/in/tranminhduc-aeo",
    "https://twitter.com/tranminhduc_seo",
    "https://scholar.google.com/citations?user=XXXX"
  ],
  "knowsAbout": [
    "Answer Engine Optimization",
    "Structured Data / Schema Markup",
    "AI Search Optimization",
    "Content Strategy",
    "Technical SEO"
  ],
  "worksFor": {
    "@type": "Organization",
    "@id": "https://example.vn",
    "name": "AEO Saigon"
  },
  "nationality": {
    "@type": "Country",
    "name": "Vietnam"
  },
  "alumniOf": {
    "@type": "CollegeOrUniversity",
    "name": "Đại học Kinh tế TP. Hồ Chí Minh"
  },
  "memberOf": {
    "@type": "Organization",
    "name": "Vietnam Digital Marketing Association"
  }
}

Guide to creating a Wikidata entry — the most important step

Wikidata is a data source that Google Knowledge Graph and many AI models reference. Creating a Wikidata entry is free and open to everyone — no Wikipedia-level fame is required.

Minimum conditions for a valid Wikidata entry:

• At least 1 external reference source (news article, company website, LinkedIn)
• A real person with a real name and verifiable activities
• Documented achievements/activities (founding a company, writing a book, being interviewed in the press)

Process for creating a Wikidata entry:

1. Register an account at wikidata.org (using your email)
2. Create a new item: click "Create a new item"
3. Enter the Label (full name), Description (brief occupation), Aliases (other names if any)
4. Add important statements: P31 (instance of: human), P106 (occupation), P27 (country of citizenship), P569 (date of birth — optional)
5. Add external identifiers: P214 (VIAF), P4003 (LinkedIn), P2002 (Twitter/X)
6. Add references (verification sources) for each statement

Once created, the Wikidata URL takes the form https://www.wikidata.org/wiki/QXXXXXXX — this is the value you add to sameAs in the Person schema.

Connecting Person — Article — Organization

The entity graph works when schemas are linked to each other via @id. Here is how 3 entities connect:

A practical example in Article schema:

{
  "@type": "Article",
  "@id": "https://example.vn/blog/aeo-la-gi",
  "headline": "AEO là gì?",
  "author": {
    "@type": "Person",
    "@id": "https://example.vn/tac-gia/tran-minh-duc"
  },
  "publisher": {
    "@type": "Organization",
    "@id": "https://example.vn"
  },
  "datePublished": "2026-08-09",
  "dateModified": "2026-08-09"
}

When AI sees the same @id appearing in 20 Article entries, 1 Organization, and confirmed by Wikidata via sameAs — confidence about that Person entity increases noticeably.

Priority platforms for the sameAs network

Checklist for building a Person entity

• Dedicated author page at a fixed URL (/author/[name-slug])
• Professional real photo (not a logo, not AI-generated)
• Bio of 150–200 words with specific experience and numbers
• Complete Person schema with @id, name, jobTitle, description
• sameAs includes at least Wikidata + LinkedIn
• knowsAbout lists 5–8 specific areas of expertise
• worksFor points to Organization @id
• Every article on the site uses author: \{"@id": author_page_URL\}
• Consistent name and photo across all platforms in sameAs
• Update jobTitle and worksFor when changing positions

Building a Person entity is not a one-time task. It is a continuous accumulation process — every new article, every press mention, every new profile in the sameAs network contributes to your entity. After 6–12 months of consistent effort, your name will start appearing when AI is asked about the field you are building authority in — not by luck, but because you have created enough signals for AI to recognize you as a genuine expert.

Frequently asked questions