Stop Optimizing for Keywords, Start Optimizing for Entities
Somewhere in your marketing stack there is probably still a spreadsheet of keywords with target rankings next to them. We want to talk you out of it — not out of caring about the language buyers use, but out of the underlying model: the idea that visibility is won by matching strings. AI engines do not match strings. They resolve things — entities — and they decide which things to trust and recommend. AI Overview coverage varies by measurement source, query cohort, collection date, locale, device, and feature definition. This page does not assert a universal current percentage. It is the whole game, and this post is the argument for switching sides before the scoreboard makes it for you.
Keywords were a workaround, and the workaround is over
Be honest about what keyword optimization always was: a way of communicating with a system that could not understand meaning. Search engines matched query strings to document strings, so we obligingly stuffed our documents with the right strings. It worked for twenty years because the machine on the other end was limited.
The machine is no longer limited. A modern engine reading "emergency furnace repair Mesa" does not look for pages repeating that phrase; it understands the need, retrieves passages that address it, and — this is the crucial step — decides which businesses it believes are credible answers. That belief attaches to entities, not phrases. You can own every furnace-related string in your city and still not exist in the engine's model of "trustworthy furnace companies here." Owning strings without being a resolved entity is the new ranking-on-page-two: technically an achievement, commercially invisible.
What an entity actually is (and why yours is probably blurry)
An entity model distinguishes a real-world business, location, service, person, role, and credential rather than treating every matching word as the same subject. A publisher can state those relationships on its site and compare them with profiles, directories, reviews, and independently authored pages. That comparison shows observed agreement or conflict; it does not expose whether an engine cross-referenced a source, resolved the entity, or used it in a citation decision.
The problem is one of accumulated habit: most businesses have spent years optimizing words and approximately zero hours optimizing identity. The result is a blurry entity — three name variants, inconsistent descriptions, schema missing or stale, an about page that says nothing checkable. To a machine deciding what to stake its answer on, blurry means risky, and risky means someone else gets recommended.
Keyword optimization asked "does this page contain the answer's words?" Entity optimization asks "is this business the answer?" Engines moved to the second question. Most marketing hasn't.—The ClickRadius team
The switch, in practice
Entity optimization sounds abstract; the work is concrete:
- Declare the entity. Complete Organization or LocalBusiness schema — name, description, logo, location, sameAs links to every profile you control. This is you telling machines, in their native format, what you are.
- Make identity consistent everywhere. One canonical name, one description, one set of facts — on the site, in the schema, across every directory and profile. Every inconsistency splits your entity into weaker fragments.
- Write pages as evidence about the entity. This is where content strategy changes shape. According to the Princeton-led GEO research (KDD 2024), statistics, quotations, and source citations raised generative-engine visibility by up to 40% — and notice that all three signals attach facts to a who: your numbers, your named experts, your sources. Evidence-rich content is entity-building content. The benchmark began with the top five Google sources, randomly selected one source for optimization, and measured that source's relative visibility/impression in generated responses; it did not measure retrieval or citation-inclusion probability, and reported effects varied by domain.
- Build corroboration. Directories, associations, third-party mentions, specific reviews. An entity claimed only by itself is an assertion; an entity corroborated across the web is a fact.
- Cover topics, not strings. Keep the buyer's vocabulary — engines still retrieve through language — but plan content as "questions this entity is the credible answer to," not "phrases to rank for." One page that thoroughly answers a real question beats five pages chasing string variants.
What happens to the keyword spreadsheet
You do not throw it away — you invert it. Sort your old keyword list by buying intent, then rewrite each high-intent entry as the question a real person would ask an assistant: "roof repair cost" becomes "what should a roof repair cost for a house like mine, and who near me is honest about it?" That reframing does two jobs at once. It exposes which questions your site genuinely answers versus merely mentions — usually a short and humbling list — and it becomes your monitoring panel: the fixed set of questions you put to the five engines each month to see whether the entity work is landing. The spreadsheet stops being a scoreboard of strings and becomes a map of conversations your business needs to be named in. Same data, opposite direction: instead of asking what words to add to pages, you ask what proof to add to your identity.
Why this matters more every quarter
No market-wide AI-answer prevalence is established here. Measure the business on a fixed, dated prompt set and record the engines, locale, device or account state where relevant, and whether each result is a mention, linked citation, or recommendation. That sample can identify an observed gap; it does not establish that a category is empty, a citation position is unclaimed, or an early entrant will become a default answer.
Frequently asked questions
What is an entity in the AI-search sense?
A distinct, resolvable thing — a business, person, product, or place — that an AI system can identify across different mentions and surfaces. Your business is an entity when engines can connect your website, profiles, directory listings, and reviews into one consistent identity with known attributes: what you do, where, for whom, and why you're credible.
Do keywords still matter at all?
As vocabulary, yes — engines still need your pages to use the words buyers use, and retrieval still begins with language matching. What no longer works is keyword-quota thinking: repeating strings to signal relevance. Relevance is now inferred from meaning and entity association, so natural coverage of a topic beats engineered repetition of a phrase.
What's the fastest way to start entity optimization?
Three moves: complete Organization or LocalBusiness schema with sameAs links tying together every profile you control; rewrite your about page as checkable fact (who, what, where, since when, credentials); and make your name and description identical across your site, directories, and profiles. That gives engines one clean identity to resolve — the precondition for every citation.
Want to see how resolvable your entity is right now? Get your free AI Readiness Score — or see plans and pricing.