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Live demo · entity strength compounds as more authoritative profiles connect to the same canonical brand node.
Entity SEO is the discipline of getting your brand recognised as a distinct, high-confidence node in the LLM's internal world model. The five must-haves: Wikidata entry, Organization schema with full sameAs, consistent profiles on Crunchbase/LinkedIn/G2, third-party citations from trusted publishers, and a single canonical brand string used everywhere. Compounding starts the day all five are in place.
1. What an entity actually is
An entity, in knowledge graph terms, is a distinct identifiable thing - a brand, person, place, product or concept - that the model can attach facts to. Wikipedia and Wikidata are the clearest examples: every article or item is an entity with a unique identifier (a Q-number on Wikidata) and a set of statements describing it. LLMs absorb these graphs during training and use them as the backbone of how they reason about the real world. Become a node in that graph and you become a candidate any time a user asks about your category.
Entity strength is one of the five citation signals documented in our citation algorithm guide - and it's the hardest one to fake. You can't just add a meta tag and become a recognised entity; you have to build the actual graph.
2. The five entity must-haves
In order of leverage: Wikidata entry with clean statements (much easier to qualify for than Wikipedia, and almost as high-impact), Organization schema with sameAs linking every authoritative profile, consistent profiles on category-relevant directories (Crunchbase, LinkedIn, G2, Capterra, GitHub depending on industry), third-party citations from publishers LLMs already trust (Forbes, TechCrunch, Wired, niche industry media), and a single canonical brand string used identically across every profile. Inconsistency is the killer - the model sees "Acme Inc", "Acme Co" and "Acme Corporation" as three weak entities instead of one strong one.
3. Wikidata is the cheat code
Wikidata is open, largely self-serve, and consumed heavily by every major LLM during training. Creating an entry is a 30- minute job: sign up, click "create new item", set your brand name as the label, add a one-sentence description, then add the core statements - instance of (business), industry, founding date, headquarters, official website, and sameAs links to your other profiles. The minimum viable entity is about 8-12 statements. The more statements you ship, the richer your entity becomes, but even a basic entry is dramatically better than nothing.
4. The sameAs property
sameAs is the JSON-LD property that ties together every authoritative profile of your brand on the web. It belongs in your Organization schema, and it should list every profile that's genuinely yours - LinkedIn company page, Crunchbase, Wikidata, GitHub org, G2 vendor profile, Capterra listing, official social handles, and any industry directories you're listed in. The full schema patterns are documented in our schema markup for AI search guide.
5. Third-party citations
The slowest-moving and highest-leverage entity signal is brand mention density across publications LLMs already trust. You don't need links - LLMs weight unlinked brand mentions almost as heavily as linked ones for entity strength. The practical move is a continuous PR program targeting the publications in your category that ChatGPT, Claude and Perplexity demonstrably cite. Earned mentions compound; ad equivalents do not.
Combined with strong AI-citable content and a working llms.txt, this becomes the foundation that lets you be visible in ChatGPT, Claude, Gemini and Perplexity over the long run.
Recap
Entity SEO is the most durable competitive advantage in AI search. Wikidata, Organization schema with sameAs, consistent profiles on the right directories, and earned third-party citations together build a brand entity LLMs can confidently identify. The technical pieces ship in a week; the citation compounding takes a quarter or more, which is why the brands starting now will be the cited brands in 6-12 months while latecomers play catch-up.
Wikidata + sameAs + citations, done right
Geolify GEO packages handle the full entity build - Wikidata, schema, profile audit, and a continuous citation program targeting the publications LLMs already trust. From $499.
FAQ
What is an entity in entity SEO?
An entity is a distinct, identifiable thing - a brand, person, place, product or concept - that the model can attach facts to. In knowledge graph terms, it's a node. The goal of entity SEO is to make your brand a high-confidence node in the LLM's internal world model, with consistent facts attached and clear relationships to other entities. Once you're a node, you become a candidate for any prompt that touches your category.
Do I need a Wikipedia article to be recognised as an entity?
Helpful but not required. A Wikidata entry (which is much easier to qualify for than Wikipedia) is the single highest-leverage entity move you can make - the major LLMs all consume Wikidata heavily. Pair Wikidata with a sameAs property in your Organization schema and consistent profiles on Crunchbase, LinkedIn, G2 and Capterra and you have a strong entity foundation without ever needing Wikipedia.
How do I create a Wikidata entry for my brand?
Sign up for a Wikidata account, click 'Create a new item', use your official brand name as the label, add a one-sentence description, then add statements - instance of (business/organization), industry, founding date, headquarters location, official website, and sameAs links to your authoritative profiles. The minimum viable entity is about 8-12 statements. Wikidata is open and largely self-serve - the bar is much lower than Wikipedia.
What's sameAs and why does it matter?
sameAs is a JSON-LD property in your Organization schema that lists every authoritative profile of your brand on the open web - your LinkedIn company page, Crunchbase, G2, Capterra, Wikidata, GitHub org, etc. It's the single most important entity-strength signal because it tells LLMs 'all of these are the same brand', which lets the model collapse them into one high-confidence node instead of treating them as separate weak signals.
How long does it take to build entity strength?
The technical pieces (Wikidata, schema, sameAs) ship in a week. The compounding pieces (consistent third-party citations, brand mention density across trusted publications) take a quarter or more to move the needle. The brands that win in AI search treat entity work as a continuous program, not a one-time setup - because the citation graph keeps moving and your share of voice has to keep up.