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Glossary · Plain-English definitions

Knowledge graph

In one sentence: A knowledge graph is the store of facts a search or AI system keeps about real things, businesses, people, places and products, along with the connections between them, so it can answer a question about your company from one record instead of from whatever page it happens to find.

A file on your business, not a list of pages

An index is a list of pages. A graph is a list of things. In a graph your company is a single record: a business, in a city, in a category, with a phone number, hours, a website, and links to the places and people connected to it.

That record is assembled from many mentions. Your own site, your verified business profile, directories, news coverage and anyone else who references you all feed it. When those sources agree, the system ties them to one record and its confidence rises. When they disagree, it has to guess which version is really you.

Graphs hold relationships, not just fields. A brand connects to its parent company. A service area connects to the towns inside it. A business connects to a category, and that category connects to the kinds of questions the business ought to be able to answer.

Records also have to be told apart. Two companies can share a name across two states, and the only things separating them are the details: the street, the number, the category, the towns their pages name. Anything you leave vague is left to the system to resolve.

The everyday version: a customer searches your business name and gets your hours, your number and directions before a single page of yours loads. Nobody wrote that summary. It was built from a record.

What a thin or split record costs a local business

When a search engine or an assistant has to name a plumber in one specific town, it works from records it trusts. A record with a clear category, a defined service area, matching contact details and steady mentions is easy to trust. A record where the suite number changed and half the web never got the memo is not.

Worse than thin is split. An old address sitting on directories you forgot about while a new one sits on your site can produce two half strength records instead of one solid one, and neither of them wins anything. The repair is unglamorous and entirely within reach: make every public mention of your name, address and phone number match exactly, and describe the business the same way each time. That consistency work is the backbone of local SEO.

It builds slowly, which is the honest part. A record gets stronger as ordinary mentions accumulate, your name next to your city next to what you do, in places that were not written by you. There is no button for that and no way to rush it, but there is also no version of it that expires the way a paid placement does.

Where the graph sits among the other terms

The graph is the record itself. A knowledge panel is one way that record gets shown to a person. Entity SEO is the work of getting the record right in the first place. Structured data is the format that hands a machine your facts as labeled fields, and for a local company the Google Business Profile is usually the most direct feed of all.

Keep those four straight and the rest of the subject gets simpler: one record underneath, a few different displays on top, and a lot of ordinary maintenance holding the whole thing together.

Related questions

Can I edit a knowledge graph directly?

No. There is no form where you type your facts into the graph. You supply facts through sources the system already reads, meaning your site, your verified business profile and listings that carry your details, and the graph decides what to keep. Consistency across those sources is the only real leverage you have.

Do knowledge graphs only matter for big brands?

No. Any business a system can identify has a record, including a one truck operation. The difference between a national brand and a local shop is not whether a record exists, it is how complete and how consistent that record is.

Related terms and guides

Local SEO · Knowledge panel · Entity SEO · Structured data · Google Business Profile · All glossary terms · Plain-English answers · AI search optimization services

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