Entities, Not Keywords: How AI Understands Who You Are

AI engines don't match keywords to queries. They build a picture of you as an entity from every public signal they can find. When those signals disagree, the picture blurs and you stop getting recommended. Here's how entity-based understanding works and what to do about it.

Updated Jun 17, 2026 8 min read

Traditional search optimisation was a matching problem. You figured out what phrases people were searching for, put those phrases on your pages, and the algorithm matched your page to the query.

It was crude in some ways, but the logic was simple. Be in the right place with the right words and you’d get found.

AI engines work differently. They’re not matching phrases. They’re building understanding. When you appear in enough public sources with enough consistency, the engine starts to form a model of you: who you are, what you do, what you’re known for, who you work with. That model is your entity, and it’s what the engine draws on when it decides whether to recommend you.

Getting cited consistently requires that model to be clear. And clearing it up is not primarily a writing problem. It’s a signals problem.

What is an entity in AI search?

In knowledge representation, an entity is a distinct thing that can be described, distinguished from other things, and assigned properties. A person is an entity. A business is an entity. A concept, a place, a product, all entities.

When an AI engine encounters information about you, it’s doing something like entity resolution: figuring out whether the “Sally Kuter” mentioned on this page is the same Sally Kuter who appears in these other places, and adding the properties it finds to a growing model.

Your entity, as the engine understands it, includes things like:

Your name and any associated names or handles
Your category or professional description
Your location
Your associations (businesses you’ve worked at, people you’ve worked with, concepts you’re connected to)
Your claimed expertise (what you say you do)
Your attributed expertise (what others say you do)
Your content topics (what you publish about)
Your offer or service type

The engine is trying to resolve all of these into a coherent, specific, trustworthy picture. When it can, it cites you confidently. When the picture is blurry or contradictory, it either cites you vaguely or goes with someone it can describe more cleanly.

Why is your entity probably blurry?

The most common cause of a blurred entity is time, and specifically the gap between how you position yourself now and how you were positioned in the past.

When you’ve evolved your offer, repositioned your brand, changed your focus area, or pivoted, the old signals persist. They don’t disappear when you update your website. They live in:

Directory listings you claimed and forgot about. That Clutch listing from three years ago still describes you the old way. The older About.me profile that Google indexed. The podcast interview where you talked about a service line you no longer offer. The LinkedIn summary that hasn’t been touched since before the last pivot.

All of these are authoritative public sources as far as the engine is concerned. It adds them to your entity picture. If they say different things, the picture becomes a composite of who you’ve been rather than who you are.

This is exactly what happened to me when I ran my own citeability audit in 2026. I scored 7 out of 24 as a citeability expert, compared to 18 out of 24 as an operations expert. The work had changed. The signals hadn’t caught up. The engine had a clear, confident picture of me as an ops person and a blurry, low-confidence picture of me as a citeability strategist. That gap was entirely a signals problem, not a capability one.

My full self-audit and what I found covers this in detail.

What does a blurred entity cost you?

A blurred entity produces three problems.

First, you’re cited less. When the engine isn’t confident about who you are or what you do, it’s less likely to include you in a recommendation where clarity is required. It reaches for someone it can describe with confidence.

Second, when you are cited, the description may not reflect what you actually do now. You might appear in answers that reference your old positioning, old category, or old services. This sends the wrong potential clients, and the ones who find you through that citation are expecting someone you used to be.

Third, the engine may resist updating your entity when you start putting out new signals. If ten public sources describe you as an operations consultant and two new ones describe you as an AI visibility strategist, the engine’s model doesn’t flip. It averages. The entity updates slowly, weighted toward established signals.

This is why entity work, the consistency cleanup that feels boring, often matters more than new content. You can publish twenty new posts about citeability and the engine’s model of you will update slowly if the old signals still outweigh them. Fix the signals first, then the content lands on clearer ground.

How do you sharpen your entity for AI?

The process is practical, if not especially exciting.

Write the sentence. One clear sentence that describes what you do now, specifically. Not “I help businesses grow” but something like “I help founder-led service businesses get found and cited by AI engines, so the right clients are finding them without a broken search strategy.” This is your entity anchor. Everything else needs to agree with it.

Audit your public presence. Find every place you appear publicly. Your website, your LinkedIn, your Google Business profile if you have one, your directory listings (Clutch, Bark, industry directories), any speaker bios or guest post author boxes, your social media bios. List them. Note what each one says about you.

Update for consistency. Every one that doesn’t say a version of your current sentence needs updating. The LinkedIn summary is the most important because it’s one of the highest-authority sources the engine uses. Your website is next. Then work through the lower-priority ones in order.

Deprecate what you can’t update. Some old profiles and listings you can’t edit. Where you can, update. Where you can’t, consider whether new authoritative content can outweigh them over time.

The consistency work, once done, compounds. Every new piece of content you publish is being interpreted in the context of a clear entity picture rather than a contradictory one. The engine knows who you are, so when new material from you appears, it adds to the existing picture rather than creating noise.

If you want to see where your entity picture is clear, where it’s blurred, and what to fix first, the Citeability Snapshot is the place to start. It shows you what the engines say about you now, a baseline score, and a ranked set of fixes you can start the same day.

See what the Snapshot shows you.

Frequently asked questions

What is an entity in the context of AI search?

An entity is how an AI engine models a person, business, or concept as a distinct thing with knowable attributes. Your entity includes your name, what you're known for, your category, your associations, and the claims that appear consistently about you across public sources. The clearer and more consistent your entity, the more confidently an engine can cite you.

How is entity optimisation different from keyword optimisation?

Keyword optimisation is about matching specific words or phrases to queries. Entity optimisation is about building a clear, consistent picture of who you are across all public sources so the engine can trust and cite you confidently. Keywords are what you say. Entities are what the engine concludes about you from everything it finds.

How do I know if my entity picture is blurred?

Ask whether a stranger reading all your public profiles, your website, your LinkedIn, your directory listings, and any other mentions would get a consistent picture of what you do. If the answer is roughly consistent, your entity is reasonably clear. If different sources say different things, describe different roles, or reflect an earlier version of your positioning, your entity is blurred.

What's the fastest way to sharpen my entity for AI search?

Write one sentence that accurately describes what you do now, who for, and the outcome you produce. Then audit every public source where you're described and update it to say a version of that sentence. This includes your LinkedIn summary, your website about page, your bio on any platforms you use, and any directory listings you control. Consistency across sources is what sharpens the entity.

How long does it take for AI engines to update my entity after I fix my signals?

There is no fixed timeline, and that is honestly the frustrating part. AI engines update entity models incrementally, not in real time. If you have ten old sources describing you one way and you update three of them, the model shifts gradually rather than flipping. The more authoritative the sources you update, the faster the picture moves. LinkedIn and your own website carry more weight than old directory listings, so fixing those first gives you the most leverage. Practically, expect the model to start reflecting clearer signals within weeks if you update the high-authority sources, but some engines may take longer depending on how recently they've indexed your content.

Why does LinkedIn matter more than my website for entity signals?

AI engines weight sources partly by how much corroborating data they have about them. LinkedIn is one of the most heavily indexed professional sources on the web, with structured data about roles, categories, skills, and associations that maps cleanly onto entity attributes. Your website matters a great deal too, but LinkedIn's structured format, combined with the volume of other entities it connects you to (companies, colleagues, categories), makes it an unusually strong signal for professional identity. That said, the goal is consistency across both, not choosing one over the other. If LinkedIn and your website say the same thing, the engine gets two strong signals pointing at the same picture.

Sally Kuter

AI Search Visibility Consultant + Operations Strategist

I help founder-led service businesses get recommended by the AI engines their clients already ask. When someone opens ChatGPT or Perplexity and asks who to hire, they should get your name back. That's the loud problem. The quiet one is everything underneath: the systems and workflows that have to hold without you in every decision.

My background is in agency general management, operations, and team leadership. These days I work at the intersection of AI visibility and operational design: the part that makes you findable, and the part that makes you functional when you are.

Based in Brisbane. I believe good systems don't just save time. Strategic AI doesn't just save effort. Done right, both give people their thinking back.