Entity SEO Engineering
Discipline: Identity Reconciliation | Focus: Named Entity Recognition (NER)
1. The Atomic Unit: The Triple
Search engines do not read sentences; they extract Triples. A triple is the smallest unit of knowledge, consisting of a Subject, a Predicate, and an Object. Entity SEO is the art of feeding these triples clearly to the machine.
(Eyal Krief)
(isFounderOf)
(BlackSheep)
If your content leaves the Predicate ambiguous, the link is never formed in the Knowledge Graph.
2. The Problem: Disambiguation & Confidence
How does an AI know if "Jaguar" is the animal or the car? It calculates a Confidence Score based on context vectors. If the score is below a threshold (e.g., 0.8), the entity is ignored to prevent hallucination.
We replace probability with certainty using Identity Reconciliation.
3. The Solution: The `sameAs` Protocol
We force the AI to recognize the entity by linking it to immutable, third-party databases (Wikidata, Crunchbase, Google Knowledge Graph). This is done via the `sameAs` property in JSON-LD. This is the single most critical line of code in modern SEO.
4. Advanced: Nested Entity Injection
To establish authority, we don't just list keywords. We nest entities inside other entities using `mentions` and `about`. This builds a dense graph.
5. Probing the Graph (Verification)
How do we verify if Google has accepted the Entity? We query the Google Knowledge Graph Search API. A successful entity strategy results in a distinct Result Score.
GET https://kgsearch.googleapis.com/v1/entities:search?query=Eyal+Krief&key=API_KEYSuccess Criteria: Return of a unique `@id` (e.g., `kg:/m/0xyz...`) instead of a generic text match.