Why Person Schema Matters for AI Search

Person schema connects your content to named people, with their job title, employer, credentials, and links to professional profiles. It supports E-E-A-T by making authorship and expertise machine-readable, which helps AI attribute and trust content. Few small business sites use it, so it is a practical, low-effort improvement. This is a guide, not a statistical study, so it makes no claim about a precise adoption rate or a fixed citation multiplier.

What Person schema does

Person schema tells AI platforms who wrote or is associated with your content. It provides the author's name, job title, employer, credentials, and links to professional profiles. AI can use this to corroborate the credibility of the person behind the content, which feeds into how content is attributed and trusted.

Why it helps

AI platforms weigh content credibility before citing it. A named author with verifiable credentials (a LinkedIn profile, professional qualifications, other published work) is a stronger trust signal than anonymous content. Person schema expresses that link in a machine-readable form, and Google's E-E-A-T guidance leans on identifiable, verifiable authorship.

The benefit comes from several aligned signals:

• Trust verification - AI can cross-reference the author with LinkedIn, publications, and professional registrations
• Expertise signal - credentials and job titles indicate subject-matter expertise
• Entity connection - Person schema with sameAs links the author to the organisation as part of a coherent entity graph
• Content attribution - claims can be attributed to a specific, named individual

The opportunity

Relatively few small business sites implement Person schema, for a few practical reasons:

• Many developers have never used Person schema
• Standard SEO work often covers Organisation and Article but skips Person
• It takes effort to create structured data for each author or team member

Because adoption is low, adding it is a straightforward way to strengthen your authorship signals ahead of most competitors.

How to implement Person schema

Person schema is added as JSON-LD in your page's head section. Here is a basic example:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Jane Smith",
  "jobTitle": "Head of Content",
  "worksFor": {
    "@type": "Organization",
    "name": "Example Company"
  },
  "sameAs": [
    "https://www.linkedin.com/in/example-profile/",
    "https://example.com/about/jane-smith/"
  ],
  "url": "https://example.com/about/jane-smith/"
}
</script>

Where to add Person schema

The connection to Organisation schema

Person schema works best when connected to Organisation schema through worksFor and sameAs relationships. This creates a compound entity signal. AI can see that a named, credentialed person works for a verified organisation. Both entities are cross-referenced across professional platforms.

Many small business sites also lack complete Organisation schema, which means they have neither the personal nor the organisational entity signals AI platforms look for. Adding both, and linking them, is more effective than either alone.

Read our complete schema markup guide · See all AI search statistics