Definition
Entity optimization is the work of making a model recognize your brand as a specific thing with known attributes, not just a string that appears on a page. Where keyword optimization targets the words a person types, entity optimization targets what a system believes those words refer to.
At a glance
- CategoriesStrategy
- Related fieldsKnowledge Graph, SEO
- DifficultyAdvanced
At a glance
- Entity optimization works on identity, not phrasing: who you are, what you sell, which category you sit in.
- Recognition is binary before it is competitive. A model that cannot place you will not shortlist you.
- Structured data helps a machine confirm what your text already says, and cannot rescue text that says nothing.
How a name becomes a known thing
A retrieval system reading your page runs named entity recognition across the text, spots candidate names, then tries to resolve each one to something it already knows.
Resolution is where brands fail. Your name links to the right record when the surrounding text supplies matching attributes: category, location, founders, products, sector. Without those, the name sits unresolved, and an unresolved name counts for almost nothing when the model assembles a list of options.
The record it resolves to lives in something like a knowledge graph, which stores things and their relationships rather than pages and keywords. Google’s guidance on site names in search is the shallow end of it: state your name the same way in markup, title tags and text, and systems stop guessing.
Recognition decides whether you appear at all
Plenty of visibility problems get diagnosed as content problems when they are identity problems.
A shopper asks for accounting software for UK construction firms. The model assembles candidates from what it knows sits in that category. If nothing it has read places you in accounting software, or in the UK, or near construction, you are not considered. Excellent pages change nothing, because they never entered the set.
That failure is silent. No ranking dropped, no traffic fell, no report flagged it. The only way to see it is to ask the question yourself and notice who is listed instead.
Tell every system the same story about your brand
This is housekeeping, and one of the highest-return weeks of work in GEO.
- Write the one-line description once. Name, category, who it is for, where you operate. That exact wording goes everywhere.
- Repeat it where machines read: homepage copy, title tags, Organization schema, About page, directory profiles, social bios.
- Connect yourself to known things. Name your integrations, standards, certifications, cities and industries in text. Relationships to recognized entities are how an unknown name gets placed.
- Kill the variants. One legal name, one trading name, one capitalisation. Retire old product names instead of leaving both alive.
- Check quarterly. Ask three assistants to describe your company cold, and read the answers next to your entity footprint elsewhere.
Frequently asked questions
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Is entity optimization the same as adding schema markup?
No, though markup is part of it. Schema states in machine-readable form what your page already says: name, category, address. Entity optimization is the wider job of making that claim consistent everywhere and corroborated by sources you do not own. Markup nobody else confirms adds very little.
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How can I tell whether a model recognizes my brand?
Ask it cold, in a new session: who is this company, what do they sell, who for. A model that answers accurately has resolved you. One that hedges, invents a category or confuses you with a similarly named company has not, and that answer is your baseline.
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Do I need a Wikipedia page?
It helps and it is not a requirement. Wikipedia carries weight because it is structured, cross-referenced and independently edited, which is the corroboration models look for. Most companies cannot get one and should not force it. Industry bodies, standards registries and trade press do a similar job with less friction.
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Is this worth doing for a brand nobody searches by name?
Yes, and that case is where it pays most. Unbranded questions are how assistants get used, and a model puts you on a shortlist for “the best X for Y” only if it knows you are an X serving Y. Recognition is not about people typing your name. It is about being placeable when they do not.