Entity SEO: Being Understood, Not Just Found

An entity is a thing with a resolvable identifier: a record carrying attributes and relationships, addressable independently of the words used to name it. A knowledge graph is the database holding those records and the connections between them — Google operates one behind its search results, and Wikidata operates a public one anyone queries directly. A QID is Wikidata's identifier for a single record, written as the letter Q followed by digits. A name resolves to a record, and the record carries a QID.

Generative engine optimization, the discipline this site practises, is Q134083964. Wikidata records it as a subclass of search engine optimization, Q180711, with an inception date of 2023-11-16. That identifier is checkable in one click. A business name alone never carries that property.

Disambiguation is the task of deciding which record an ambiguous string refers to. Identical trade names recur across markets, and a name typed into an assistant carries none of the detail that separates one holder from another.

A record removes the ambiguity by construction. Q134083964 refers to one concept and to nothing else, because the identifier is itself the disambiguation. A business record works the same way: the identifier names the business, and the attributes attached to it — address, category, phone number, licence, profile URLs — separate it from every other holder of the same trade name.

Our own audit of nine Kansas City competitor pages, September 2026, covered six distinct builds: Next.js, WordPress with Elementor, WordPress with Divi, Webflow, a custom stack and a bot-protected page. Zero of the nine emitted a Wikidata reference or any entity identifier in their structured data. The Webflow page in the set referenced Wikipedia and carried no QID with it. All six compete in this market as strings.

Entity resolution is the process of turning a string into a record. Three steps run in order.

1. Matching

   The typed name is compared against the records the system already holds. Every record whose name or alias matches the string enters the candidate set.

2. Narrowing

   Corroborating details reduce that set. Location, category and contact number each eliminate candidates that contradict them, and each detail repeated by an independent source raises confidence in the record it supports.

3. Returning

   A single candidate with sufficient confidence is returned as the record. A contested or empty candidate set returns nothing.

The name is matched to known records, narrowed by location and category, then returned only on a confident match.

Corroboration enters at the second step. Agreement between independent sources is what removes rival candidates, which makes third-party mentions an input to resolution rather than decoration around it.

Four elements, in the order a machine reads them:

1. Consistency

   Trade name, street address or service area, primary phone number and business category read identically on the website, in state licensing registries, in industry directories and on every profile the business controls. A contradiction between sources withdraws confidence from every source involved.

2. Structured data

   Organization markup states those same values in machine-readable form. Google's Organization documentation names name, url, address, telephone and sameAs among the properties it reads, and lists no property as required.

3. Identity links

   sameAs is schema.org's property for the "URL of a reference Web page that unambiguously indicates the item's identity". sameAs connects a page to a record: a Wikidata item, a licensing registry entry, an industry directory listing, a professional association profile.

4. Corroboration

   Independent parties repeat the same values. Wikidata's notability policy accepts an item that refers to a clearly identifiable entity describable with serious and publicly available references, which is the route a business takes to its own QID.

1. Search

   the exact business name in Google and look beside the results for a knowledge panel. Google states that knowledge panels are generated automatically from sources across the web, and that an official representative claims an existing panel rather than creating one.

2. Query

   wikidata.org for the business name and every trade name it operates under. A returned item carries a QID. An empty result means no public identifier exists.

3. Ask

   an assistant — ChatGPT, Gemini, Perplexity, Claude, Google AI Mode — who the business is, and read the answer against the facts. An accurate description confirms the record. A competitor's details, a wrong address or a refusal confirms the failure.

Each check returns one answer. Which check fails, and what the repair costs, is the output of a structured site review.