Entity visibility
How to get your business cited by ChatGPT and AI answer engines.
Generative engine optimization is the work of becoming a business an assistant can recognise, describe correctly and recommend by name. It is entity work, not page work, and the honest version of it starts by admitting how much of the mechanism is undocumented.
How do I get my business cited by ChatGPT and other AI answer engines?
Getting named by an AI assistant comes down to being easy to recognise and safe to quote: accurate, consistent information about who you are and what you do wherever it appears, published content that answers real questions with its sources attached, and genuine mentions of your business on sites an assistant already reads.
Generative engine optimization, usually shortened to GEO, is the name for that work. It targets the business as an entity rather than any single page.
No vendor publishes how its assistant selects or ranks the sources it cites, and the same question asked twice can return different businesses, so a citation cannot be guaranteed, bought or reliably forced.
What GEO means, and where the term came from
Generative engine optimization is not a rebrand invented by agencies. It comes from a research paper, and knowing that is useful because the paper is far more careful than most of what has been written since.
Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan and Deshpande introduced the term in a paper posted to arXiv and presented at KDD in 2024. They built a benchmark of real queries, defined visibility measures for how prominently a source appears inside a generated answer, and tested content-side changes against them. Adding citations, quotations and statistics improved visibility in generative engine responses by up to 40% in their tests.
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Two things about that finding are worth holding onto. The first is that the levers which worked were about evidence and clarity, not tricks: cite sources, quote experts, include real numbers, write fluently. The second is that it was measured on a benchmark in 2024, against systems that have changed since. It tells you the direction of the effect, not the size of it in your market this quarter.
The practical definition we work to is simpler. GEO is everything that makes an assistant confident enough to put your name in an answer: it knows who you are, it can find consistent facts about you, and what it can find is worth repeating.
AI is already inside the buying journey
BrightLocal's 2026 Local Consumer Review Survey asked 1,002 US adults how they actually use AI tools when choosing a local business. This is a vendor survey, so treat it as directional rather than definitive, but the direction is not in doubt.
SourceBrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers)
The gap between the first and third figures is the interesting part. Far more people use these tools than currently trust them, which means an assistant naming you is a shortlist entry, not a booking. The click, the call and the reason to choose you still have to be there.
What the assistant is doing when it names a business
It helps to be concrete about the sequence, while being equally concrete about which parts are visible to us and which are not.
Someone asks a question in natural language, usually longer and more specific than a search query: not "dentist Oak Brook" but "who does same day crowns near Oak Brook and takes my insurance". The assistant interprets that, often splitting it into several sub questions.
It then gathers material. Depending on the product and the settings, that can mean a live web search, a retrieval index, information learned during training, or a mix. This is why the same prompt can behave differently across two assistants and across two days on the same assistant.
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It assembles an answer and attaches attribution. Some products link everything they used, some link a subset, and some name a business in the text without linking it at all. A name with no link still sends customers, which is why brand recall matters more here than in classic search.
The selection step in the middle is undocumented. Google publishes that AI features show a wider and more diverse set of links than classic search, but not how sources are chosen. The other major assistants publish less. Any confident description of the ranking formula, including ours, would be a guess.
What Google actually documents
Google's page on AI features and your website is the only first-party document that says anything concrete, and what it says is mostly deflationary. There are no additional requirements to appear in AI Overviews or AI Mode, and no other special optimizations necessary. You do not need to create new machine readable files, AI text files or markup, and there is no special schema.org structured data to add.
It also confirms that the ordinary controls still apply. The nosnippet, data-nosnippet, max-snippet and noindex directives limit what can be shown from a page, which means it is entirely possible to exclude yourself from these features by accident through a plugin setting or a cautious security configuration.
Read the full breakdown: What Google actually documentsHide the full breakdown: What Google actually documents
Read together, that documentation says the entry requirements are the ones you already know: be crawlable, be indexed, be useful, be accurate. It is quiet on everything else, and the correct response to that silence is to say so rather than to fill it with invented mechanics.
This is also why we will not sell a guaranteed AI citation, and why you should walk away from anyone who does. What can be promised is the work: clearer entity information, better sourced content, a wider and more accurate footprint, and a measurement routine that tells you whether the picture is improving.
How to make a business easy to cite
Ordered by how much difference each tends to make for a local or regional business, and by what has to exist before the next step is worth doing.
Fix the facts about you before anything else
Name, address, phone, hours, services, service area, practitioners and their credentials. These need to be identical on your site, your Google Business Profile, and every directory that quotes you. Contradiction is the enemy here: when two sources disagree, a system with no way to resolve the conflict often sidesteps the business entirely.
- One canonical spelling of the business name, including punctuation and suffixes
- Suite numbers and floor references written the same way everywhere
- Hours that are actually current, including holiday closures
- Old locations and former trading names cleaned up rather than left live
Describe what you do in the words a customer uses
Assistants answer questions phrased in ordinary language. If your site describes "comprehensive restorative dentistry" and customers ask about a broken tooth, the match is weaker than it needs to be. Keep the professional term, but make sure the plain phrase appears too, in a sentence, not stuffed into a list.
Publish answers with their evidence attached
The GEO paper's strongest content-side levers were citations, quotations and statistics. That is also simply what makes a page worth repeating. Name your sources in the visible sentence, give the year, and link the primary document rather than a blog that summarised it. A page that shows its work is safer for a machine to reuse and more convincing to a person.
- Attribute every number to a named publisher and a year
- Link the original study or official document, not a secondary write up
- Say plainly when something is uncertain or not publicly documented
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Mark up the entity, accurately and boringly
Organization and LocalBusiness structured data, a sameAs list pointing at your real profiles, Service markup where it is genuine, and BreadcrumbList so the site structure is legible. This will not boost rankings on its own. It removes ambiguity, which is a different and more useful thing when the reader is a machine.
Earn mentions on sources that get read
Assistants lean on what the wider web says about you. Industry associations, local news, professional directories with real editorial standards, supplier and partner pages, university or hospital affiliations. One accurate mention on a source with genuine standing is worth more than fifty directory listings created in an afternoon.
- Prioritise sources a human would consider authoritative in your field
- Keep the description of your business consistent in what you send them
- Avoid paid link schemes, which violate Google's spam policies
Collect first-party reviews and reply to them properly
Review text is one of the richest descriptions of a business that exists in public, and AI-generated review summaries are now read by most consumers. Reviews you collect yourself, from real customers, are the only ones worth having. Never buy or incentivise them: the FTC rule banning fake reviews and testimonials has been in force since 21 October 2024.
None of these steps is novel. That is the point. GEO done honestly is mostly the same disciplined work as good local SEO, aimed at a reader that cannot ask you a clarifying question.
The signals you can genuinely control
Useful to separate these from the things people spend money on trying to influence and cannot.
- Whether your own pages can be crawled, rendered and indexed without JavaScript getting in the way
- Whether the facts about your business agree with each other across every place they appear
- Whether your content answers the question asked, in the first sentences of the section
- Whether each claim you make carries a named source and a year
- Whether your structured data matches the visible page exactly
See the full checklist: The signals you can genuinely controlHide the full checklist: The signals you can genuinely control
- Whether your review profile is real, recent and responded to
- Whether other credible sites describe you accurately, and whether you have asked them to fix it when they do not
- Whether you are accidentally excluding yourself with nosnippet, noindex or a blocking rule you forgot about
What you cannot control: which sources a given assistant chooses for a given prompt on a given day, the order it names them in, or whether it links them at all.
One business, one description, everywhere
The most common blocker we find is not missing content. It is a business that describes itself four different ways in four different places and has never noticed.
Write the canonical description once: legal name, trading name, the exact address format, the phone number customers should call, the services in plain words, the service area, and the people with their real credentials. This document is the reference for everything else.
Then reconcile. The website, the Google Business Profile, the industry directories, the insurance and provider listings, the professional body pages, the social profiles, and any location pages you publish. Differences that feel trivial to a human, such as Suite 200 versus Ste. 200 or a tracking number where the real number should be, are exactly the differences a machine cannot resolve.
Keep the reconciliation. Hours change, a practitioner leaves, a service is dropped. Set a recurring review, and update the canonical description first so every other change flows from one source rather than being patched in six places by three people.
How to measure this without fooling yourself
There is no equivalent of a rank tracker here, and any tool presenting a single AI visibility score without publishing its prompt set is asking you to trust a number you cannot audit. Answers vary by user, session, location, model version and whether the product searched the live web for that particular reply.
The workable method is boring and repeatable. Write a fixed list of twenty to forty prompts a real customer might type, in their words, covering your services and your area. Run them on the assistants your customers actually use, on a schedule, from a consistent starting point. Record only two things per prompt: were you named, and what was cited. Then read the trend over months, never a single run.
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Support that with data you already own. In analytics, watch for referral traffic from assistant domains, which is usually small but real and tends to convert well because the visitor arrived pre-qualified. In Search Console, watch branded queries: when assistants start recommending a business, people search its name to check it out. A rise in branded search with no advertising behind it is one of the few honest leading indicators available.
Then judge it the way you would judge local SEO. This compounds over weeks and months, not days, and a bad week is noise. Anyone promising instant inclusion in AI answers is overselling, and anyone reporting a precise citation share without showing their prompts is reporting something you cannot check.
Related reading
GEO is the entity half of the problem. These cover the page half and the foundations underneath both.
Answer engine optimization (AEO)
The page-level twin of this work: structuring a specific piece of content so an engine can lift a clean answer out of it.
Answer engine optimization (AEO)SEO vs AEO vs GEO
Where the three disciplines actually differ, what each one measures, and which to fix first if you cannot do all three.
SEO vs AEO vs GEOWhat is schema markup?
The structured data types that make an entity legible to a machine, and the mismatch mistake that gets markup ignored.
What is schema markup?Winning the Google map pack
For a business with a physical location, the profile work behind local visibility feeds the same entity record AI tools read.
Winning the Google map packCurious what assistants currently say about you?
We can run a fixed prompt set for your services and your area, show you what came back, and tell you honestly whether the gap is worth spending on.
Straight answers.
Is GEO just SEO with a new name?
The foundations overlap almost completely: crawlable pages, accurate information, genuine authority, clear writing. What differs is the target. SEO aims at a ranked link a person clicks. GEO aims at being named inside an answer, which can happen with no click at all.
In practice it changes priorities rather than tools. Entity consistency, source-backed claims and third-party mentions all matter more when the reader is summarising rather than listing.
Does GEO work for local businesses?
It applies, and the ingredients are the ones local businesses already need. BrightLocal's 2026 survey found a substantial share of consumers now use generative AI tools for local recommendations, and those tools lean heavily on profile data, reviews and consistent listings.
The honest caveat is that results are harder to attribute than a map pack ranking. Treat it as part of the same local visibility program rather than a separate purchase.
How do I measure AI search visibility?
Run a fixed set of realistic prompts on a schedule and record whether you were named and what was cited, then read the trend over months. Pair that with referral traffic from assistant domains in your analytics and branded query volume in Search Console.
Be sceptical of any single visibility score that does not disclose its prompt set, its assistants and its locations. Without those, the number cannot be checked or reproduced.
How long does GEO take to work?
Fixing contradictory facts and adding sourced answers can be reflected quickly, sometimes within weeks, because it mostly changes what is already being read. Building the third-party mentions that drive recognition is slower and compounds over months.
We would not judge a program on less than a quarter of prompt data, and we will not put a date on a specific citation. Nobody can.
Can I pay to be included in an AI answer?
Not in the organic part of the answer. There is no inclusion fee, no submission form and no partner programme that places a business inside a generated recommendation, and anyone selling one is selling something they cannot deliver.
Advertising placements around or inside AI features are a separate, clearly labelled product where they exist, and they are bought like any other ad, not like a citation.
What do I do if an assistant says something wrong about my business?
Start with the source rather than the assistant. Find where the wrong fact lives in public, which is usually an old directory entry, a stale profile, an outdated page on your own site, or a former address that was never removed, and correct it there.
Then correct the record everywhere it was copied to, and make sure your own site states the right version prominently. Most assistants also offer feedback controls on individual answers, but fixing the upstream source is what actually changes the pattern.
Where this comes from.
Primary documentation and published research behind the guidance on this page.
- Google Search Central: AI features and your website (opens in a new tab)What Google publishes about AI Overviews and AI Mode, and what it does not.
- Google Search Central: Creating helpful, reliable, people-first content (opens in a new tab)Google's published self-assessment questions for content quality and experience.
- Google Search Central: Introduction to structured data markup (opens in a new tab)
- Google Search Central: In-depth guide to how Google Search works (opens in a new tab)Crawling, indexing and serving, described by Google rather than inferred.
Talk to the team
A short call, a look at how the business currently shows up, and a straight answer on what we would do first.