Google's AI doesn't think in keywords anymore - it thinks in entities and relationships. "Schema markup" is an entity. "Yoast" is an entity. "Person - Jane Doe - works at Yoast" is a relationship. Entity SEO is how you make your brand, authors, and topics legible as connected entities. Sites that win this game get cited by AI Overviews and earn Knowledge Graph entries. Here's the 2026 playbook.
Traditional SEO optimizes for keywords. Entity SEO optimizes for things - concrete identifiable concepts that Google's AI can verify. The shift happened gradually:
If your site looks to Google like "a collection of pages about keywords," you lose. If it looks like "a verifiable entity (your brand) with verified author entities, publishing content about defined topic entities," you win.
Use Organization schema with logo, sameAs, contact info. This becomes your brand entity in Google's index.
{
"@type": "Organization",
"@id": "https://yoursite.com/#organization",
"name": "Your Company",
"url": "https://yoursite.com",
"logo": "https://yoursite.com/logo.png",
"sameAs": [
"https://twitter.com/yourcompany",
"https://linkedin.com/company/yourcompany",
"https://en.wikipedia.org/wiki/Your_Company"
]
}
Use Person schema with sameAs to professional profiles. Google's AI cites content with verified Person entities 2.4x more often than anonymous content.
{
"@type": "Person",
"@id": "https://yoursite.com/#author",
"name": "Jane Doe",
"jobTitle": "Senior SEO Specialist",
"worksFor": { "@id": "https://yoursite.com/#organization" },
"sameAs": [
"https://linkedin.com/in/janedoe",
"https://twitter.com/janedoe",
"https://janedoe.com"
],
"knowsAbout": ["SEO", "Schema markup", "Technical SEO"]
}
On every Article, use about for the primary topic and mentions for secondary topics. Reference Wikidata or Wikipedia URLs to anchor topics to known entities:
{
"@type": "Article",
"about": {
"@type": "Thing",
"name": "Schema markup",
"sameAs": "https://en.wikipedia.org/wiki/Schema.org"
},
"mentions": [
{ "@type": "Thing", "sameAs": "https://en.wikipedia.org/wiki/JSON-LD" },
{ "@type": "Thing", "sameAs": "https://en.wikipedia.org/wiki/SEO" }
]
}
Single entities aren't enough - they have to be linked. The 2026 best practice wraps Article + Author + Organization + WebSite in a single @graph array using @id references:
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Article",
"@id": "https://yoursite.com/post#article",
"author": { "@id": "https://yoursite.com/#author" },
"publisher": { "@id": "https://yoursite.com/#organization" }
},
{
"@type": "Person",
"@id": "https://yoursite.com/#author",
"name": "Jane Doe"
},
{
"@type": "Organization",
"@id": "https://yoursite.com/#organization",
"name": "Your Company"
}
]
}
Sites publishing this connected pattern get cited by AI Overviews 3.2x more often than sites with disconnected schema blocks.
The Knowledge Graph is the panel on the right side of search results. To earn an entry:
The knowsAbout property on Person schema lists topics the author is qualified on. Critical for E-E-A-T:
"knowsAbout": [
"Schema markup",
"Technical SEO",
"WordPress development"
]
5 - 10 specific topics is the sweet spot. Avoid generic terms like "marketing" - be specific.
Within your own site, link related entity pages to each other. Authors should link to their bio pages (which have Person schema). Brand mentions should link to the About page. Topic mentions should link to dedicated topic / category pages with their own Article or DefinedTerm schema.
sameAsThey overlap heavily. "Semantic SEO" emphasizes meaning over keywords; "entity SEO" emphasizes specific identifiable things. Both arrive at the same conclusion: structured data matters.
No - but Wikipedia/Wikidata entries are the strongest accelerator. Most Knowledge Graph entries are built from a combination of Wikipedia + verified schema + authoritative external citations.
Search Wikidata for your topic - copy the entity URL (e.g. https://www.wikidata.org/wiki/Q1234). Or use Wikipedia URLs directly.
Yes - and arguably better. Small sites lack brand recognition, so structured entity signals are how they earn AI citation eligibility on equal footing with bigger sites.
Knowledge Graph entries take 6 - 18 months. AI Overview citations from entity signals appear within 4 - 8 weeks of correct setup.
How to Rank in Google AI Overviews - Complete Guide to Schema Types - Wikipedia: Knowledge Graph
AI Overview Schema - Person + Organization + Article linked - Free
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