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Person + Brand JSON-LD

EntitySchema Builder

Build a full entity schema graph connecting your brand to Wikidata, LinkedIn, Crunchbase and other trusted sources via sameAs - the foundation of entity SEO for AI.

Configuration● live

LinkedIn, X, GitHub, Google Scholar, Wikidata etc.

JSON-LD output
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Jane Doe",
  "jobTitle": "Founder",
  "worksFor": {
    "@type": "Organization",
    "name": "Geolify"
  },
  "url": "https://geolify.com/authors/jane-doe/",
  "image": "https://geolify.com/images/jane-doe.jpg",
  "description": "Founder of Geolify. Writes about Generative Engine Optimization, AI search citations and entity SEO. Previously led GEO research at a major SaaS.",
  "knowsAbout": [
    "Generative Engine Optimization",
    "AI search",
    "entity SEO",
    "schema markup",
    "llms.txt"
  ],
  "sameAs": [
    "https://www.linkedin.com/in/jane-doe",
    "https://twitter.com/janedoe",
    "https://scholar.google.com/citations?user=xyz"
  ]
}
</script>

How to use it

Toggle between Person (for author bio pages) and Brand (for the brand entity itself) and fill the fields. The knowsAbout/sameAs lists are the fields that actually matter most for AI search - they're what assistants use to triangulate who you are and what you're an authority on.

Why the entity layer compounds

Schema, llms.txt and content optimization are all surface signals - they help any given page get extracted. Entity strength is the underlying identity graph: once an assistant has a confident Person/Brand node for you, every future mention across the web strengthens the node. This is why the entity layer compounds and surface optimization doesn't. Full breakdown in our entity SEO for the AI era guide.

Where to put it

  • Person schema goes on author bio pages (and can be referenced from Article schema via the author field).
  • Brand schema goes on the homepage and About page, often alongside Organization schema (the two are complementary).
  • Pair with Organization schema and the llms.txt file.
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