Entity SEO: Teaching AI What Your Business Is and Is Not
Entity SEO is the work of making search engines and AI assistants understand your business as one specific, identifiable company rather than a pile of keywords. It has two halves, and the second one gets skipped almost everywhere: teaching those systems what you do not do. Get both halves right and you get named for the work you want and left out of the calls you would have turned down anyway.
Key Takeaways
- Entity SEO is about identity, not repetition. Search engines and AI tools store your business as a thing with attributes, not as a page that used a phrase enough times.
- The boundary is the part almost nobody does. A machine needs to know where your work stops before it will confidently recommend you for the work you do.
- Consistency is the whole mechanism. The same facts, in the same words, in every place a machine can read them.
- Claiming more services than you deliver makes you harder to recommend for any of them.
What is entity SEO?
An entity is any distinct thing a machine can hold as one item: a person, a place, a product, a company. It has attributes (a name, an address, a phone number) and relationships (the city it serves, the trade it belongs to, the profiles that describe it). Entity SEO, sometimes written as entity based SEO, is the work of making your business one of those clearly defined items instead of a fuzzy cloud of pages.
The difference from keyword work is small to explain and large in practice. A keyword is a string somebody types. An entity is the thing they meant. When a homeowner types "emergency plumber near me," Google is not looking for pages carrying that phrase. It is looking for companies it already understands to be plumbers, open now, near that person.
In plain terms, nothing anywhere in Google or ChatGPT stores the phrase "best plumber in Sarasota." What they store is a company: a name, a category, a service area, a phone number, a set of jobs it does and a set of places other sites say it does them.
That distinction is also why entity work sits underneath answer engine optimization rather than beside it. An assistant giving one spoken answer has to be sure about the company it names, and certainty comes from a clear record, not from a well-optimized page. If you want to see what that looks like applied to a real business, GetLocalLeads.AI is happy to walk through it.
How does Google decide what your business is?
Google keeps a record of real-world things and how they connect. When it launched the Knowledge Graph in 2012, Google described it as an intelligent model "that understands real-world entities and their relationships to one another: things, not strings," and said it opened with more than 500 million objects and more than 3.5 billion facts about and relationships between them. That was fourteen years ago, and the idea has only spread further into how both search and AI assistants work.
To build the record for your company, these systems read four kinds of source: your own website, your Google Business Profile, the listings and profiles that mention you, and the structured data on your pages. Structured data is code that states your business facts in a format machines read directly. Google's Organization markup covers name, address, phone, logo and a property called sameAs, which Google defines as "the URL of a page on another website with additional information about your organization." That property is how you tell Google that the profile over there and the company over here are the same outfit.
Here is the part worth remembering. A machine does not know what you do. It knows what your sources agree you do. When they disagree, something has to break the tie, and it is usually the loudest or the oldest source rather than the correct one. The name, address and phone side of that problem, called NAP consistency, is the best-known example, and it is only one piece of it. A comprehensive AI Visibility Audit reads your website the way a machine does, if you want to see where your own record starts to disagree with itself.
Why "and is not" is the half that matters
A complete list of what you do is not a clear entity. What makes it clear is an edge, a visible place where your work stops.
Think about what an assistant is actually doing when somebody asks it who handles standing-seam metal roofs in their town. It is choosing a short list of names to say out loud. A wrong recommendation costs it more than leaving a company out, so ambiguity is a reason to skip you. A roofer whose site, profile and listings all say roofing, gutters and siding is easy to place. A roofer whose site hedges toward "general contracting, remodeling, roofing and more" has given the machine nothing firm to hold, and the machine treats that vagueness as risk.
For you, the cost lands in two directions at once. You do not get named for the work you are genuinely best at, because your record buried it under six other claims. And you do get named for work you turn away, which means you answer the phone, listen politely, and refer the caller somewhere else. That call cost you exactly what a real call costs: your attention during a working day. Run that twice a week for a year and count the working hours you gave to jobs you were never going to take.
This is what entity hardening means, and it is the reason AI visibility and brand management is built around boundaries rather than claims. The work establishes clear limits on what a business is and shows online, removing the gray areas so tools like ChatGPT and Gemini can tell the difference between where you deliver excellent service and where you simply do not offer the service. Scoping that for a specific company is what a booked call is for.
What entity confusion costs you now
This problem is not new, but it got expensive recently. BrightLocal's 2026 Local Consumer Review Survey, published in February 2026 from a poll of 1,002 US adults, found that use of ChatGPT and other generative AI tools for local recommendations rose from 6% to 45% in a single year, and that 40% of consumers trust AI platforms to give them business recommendations.
That shift changes what ambiguity costs. A page of ten blue links tolerates a confusing entity, because the person reading it does the sorting. They scan, they click, they figure out that you dropped appliance repair years ago. One spoken answer does not give them that chance. Our piece on whether ChatGPT recommends businesses walks through how that retrieval works.
Take an HVAC company that stopped doing appliance repair in 2020. The service page came down, but an old listing, a directory profile and one line in the site footer never did. Six years later an assistant still reads those three sources, still associates the company with appliance work, and still sends it those calls. Nobody at the company knows why, because nothing on the website looks wrong and nothing in the reports says anything about it. The leftovers are invisible from the inside, which is why they survive. Finding yours is a good place to start a conversation with us.
How to draw the boundary where machines read it
Four places carry almost all of the weight, in this order.
Your services page. Name each service in the words your customers use, then say plainly what you do not take. "We do residential re-roofs and repairs. We do not do commercial flat roofs." Two sentences like that are worth more to a machine than a paragraph of adjectives, because they are specific, complete, and impossible to misread. Owners resist writing the second sentence. It feels like turning down money. It is the sentence that gets the first one believed.
Your Google Business Profile categories. This is where over-claiming does the most damage, and Google's own guidance is blunt about it. Google says to use as few categories as possible to describe your core business, to choose categories that are as specific as possible while still representing your main business, and not to use categories solely as keywords or to describe attributes. Google also asks businesses to reflect the business accurately and to represent it the way it is recognized in the real world, on signage and everywhere else. Two accurate categories beat nine hopeful ones. Categories are the boundary; the rest of the profile fills in the detail.
Your listings and profiles. Same company name, same phone number, same service list, same words, everywhere they appear. Not similar. Identical. Suite numbers, abbreviations and a second tracking number are the three that quietly split one company into two records.
Your structured data. Mark up what the page actually shows, and nothing else. Google's structured data policies say "Don't mark up content that is not visible to readers of the page" and "Don't use structured data to deceive or mislead users. Don't impersonate any person or organization, or misrepresent your ownership, affiliation, or primary purpose." Overstating your services in code is a policy violation with your name on it. The fields a service business needs are few, and every one of them should match what the page already says.
One rule ties all four together. Pick the words once, write them down on a single page, and then use those exact words in every one of the four places. Not a better version for the website and a shorter version for the profile. The same version. The consistency is what does the work.
What entity SEO is not
It is not schema markup with a new name. Schema is how you state your facts in a format machines read cleanly. It cannot make an inconsistent fact consistent or an untrue one true. If your profile and your site disagree, adding code to both just states the disagreement more precisely.
It is not a software purchase either. We sell this work and we will still tell you the mechanism costs attention rather than tools. Somebody has to decide what the business is, write it down, and go fix the places that say otherwise.
It is also not the first thing to fix if a business is invisible everywhere. Clarity helps a machine choose you once it can find you. If nothing about your company is indexed, if your profile is unclaimed, if there are no reviews and no pages, then coverage is the problem and clarity comes after.
And it does not mean shrinking. Adding a service you genuinely deliver is fine, and so is growing into a new trade. Claiming one you do not deliver is the part that costs you. If you are unsure which side of that line something falls on, ask.
How fast can you change what AI says about you?
Faster than traditional SEO, and unevenly. AI visibility moves much more quickly than search rankings do, and movement is possible within 24 hours of a website change such as an updated robots.txt file or an added llms.txt file (two small text files on your site that are written for crawlers rather than people), though results are not guaranteed.
The unevenness has a cause. What a model absorbed during training and what it retrieves live from the web are two different pipes. Fixing your site and your profile corrects the second one quickly. The first one updates on its own schedule, which is why the work is consistency over time rather than one afternoon of edits.
A fair way to think about the timeline: treat the first week as the live sources catching up and the following months as the older impressions fading. The practical test is not a ranking report. It is asking the assistants the questions your customers ask, in the words your customers use, and writing down what comes back. Do that before you change anything, so you have something to compare against. That is a conversation worth having before you start.
Frequently asked questions
Is entity SEO just schema markup with a new name?
No. Schema markup is one of four places your business facts live, alongside your website, your Google Business Profile and your listings. Entity SEO is the practice of making those four agree with each other. Schema is the cleanest way to state a fact to a machine, but stating a fact clearly does not help if three other sources state a different one.
What is the difference between an entity and a keyword?
A keyword is the string a person types. An entity is the thing they meant. "Emergency plumber near me" is a keyword; the plumbing company Google decides to name is an entity. Keyword work aims at matching phrases on a page. Entity work aims at being the company a search engine or an assistant already understands well enough to recommend.
Why does ChatGPT get my business information wrong?
Almost always because your sources disagree. An assistant assembles an answer from your site, your profile, your listings and whatever else mentions you. When an old directory entry lists a service you dropped or an address you left, the assistant has no way to know which version is current. It picks one. Fixing the record at the source is what changes the answer.
Do I have to list every service I offer?
List the services you want calls for, in the words customers use, and leave off the ones you take occasionally as a favor. A long list weakens every item on it, because the machine reading it cannot tell which ones are your actual business. Depth on four services beats a mention of fourteen.
Does entity SEO matter for a one-truck operation?
It matters more, not less. A single-truck company competing on clarity can beat a larger outfit whose record is a mess, because the work rewards precision rather than budget. One accurate profile, one honest services page and one consistent phone number across the web will outperform a bigger competitor claiming every trade in the county.
Start here
Pick one service you do not actually offer, or stopped offering years ago, and find every place online that still implies you do. The old listing, the stale directory profile, the line in your footer nobody has read since the site launched. That list is usually shorter than owners expect. If you would rather have someone else find them and put the record straight, that is what our SEO, GEO and AEO work is for (search engines, generative AI and answer engines), and a call is the place to start.
