What is Entity SEO?
Entity SEO is the practice of building a clear, consistent, machine-readable identity for your brand across the web — so that search engines and AI systems can confidently identify who you are, what you do, and who you serve.
In traditional SEO, you optimised individual pages for keywords. In entity SEO, you optimise the brand itself — creating an interconnected web of consistent information that AI systems use as a knowledge base when deciding what to recommend.
Why Entity SEO is the Foundation of GEO
Before an AI system can recommend your brand, it needs to understand your brand. This understanding comes from entity data — structured, cross-referenced information about your company that exists across authoritative sources.
Think of it this way: when someone asks ChatGPT "what is the best AI visibility tool?", ChatGPT does not just search for pages containing those words. It looks for brand entities that are consistently described as relevant to that query context. If your entity data is incomplete or inconsistent, ChatGPT simply cannot include you — not because your product is inferior, but because the AI cannot confidently identify what you are.
Step 1: Create Your Wikidata Entity
Wikidata is a free, open knowledge base that AI systems including ChatGPT, Gemini, and Perplexity use heavily as a source of structured brand information. Creating a Wikidata entry for your company is the single most direct way to establish your entity footprint.
To create a Wikidata entry:
- Go to wikidata.org and create an account
- Click "Create a new item"
- Add label (your company name) and description (one sentence: what you do)
- Add statements: instance of (Q4830453 = business), official website, inception date, country of origin, industry
- Add your company logo as an image
- Link to your Wikipedia page if one exists
Step 2: Sync Your Brand Description Everywhere
AI systems cross-reference multiple sources. If your Wikidata says "AI visibility platform" but your Crunchbase says "SEO software company" and your G2 profile says "digital marketing tool", the AI gets conflicting signals and loses confidence in your entity.
Audit and align your brand description on every platform:
- Wikidata — primary knowledge base
- Crunchbase — critical for B2B and tech brands
- G2 and Capterra — heavily weighted for software recommendations
- LinkedIn company page — high authority, frequently cited
- AngelList / Wellfound — startup/tech entity signal
- Google Business Profile — Knowledge Panel anchor
Step 3: Add Organization Schema to Your Website
Organization schema is JSON-LD markup that tells AI crawlers exactly what your company is:
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Optymia",
"url": "https://optymia.xyz",
"description": "AI Visibility OS for GEO, AEO and LLM SEO optimization",
"foundingDate": "2025",
"sameAs": [
"https://www.wikidata.org/wiki/Q...",
"https://www.crunchbase.com/organization/optymia",
"https://www.linkedin.com/company/optymia"
]
}
The sameAs property is particularly powerful — it explicitly tells AI systems that all these profiles refer to the same entity.
Step 4: Build Citation Velocity
Entity authority compounds through citation velocity — the rate at which new, authoritative sources mention your brand in relevant contexts. Target these citation sources in priority order:
- G2 reviews (create and actively collect reviews)
- Product Hunt launch (high indexation by AI training data)
- Reddit mentions in r/SEO, r/marketing, r/entrepreneur
- Guest posts on industry publications (Search Engine Land, Search Engine Journal)
- Podcast appearances (transcripts indexed by LLMs)
- Press releases on PRNewswire or BusinessWire
How Long Does Entity SEO Take?
Wikidata and Organization schema changes show results in 4-8 weeks. Cross-platform entity alignment takes 2-4 weeks to implement. Citation velocity building is ongoing — each new mention compounds your authority. Brands that invest consistently for 6 months see 3-5x improvement in AI citation rates.