Does that mean your local SEO has failed? No. It means your existing report and this customer question measure different things.
Local SEO helps a business appear in relevant search and map results. GEO and AEO add another question: when an AI assistant answers a customer's specific request, does it name and accurately describe the right location? The work overlaps. The measurement does not. If you run a physical-location business, you need to see both views before deciding what to fix.
Local SEO, GEO, and AEO in plain English
| Term | The question it helps answer | Useful evidence |
|---|---|---|
| Local SEO | Can a customer find this location in search and maps? | Search visibility, Business Profile views and actions, relevant local results, site visits |
| GEO (generative engine optimization) | Is this location represented in AI-generated answers to relevant customer questions? | Saved answers, whether the location is named, how it is described, and cited sources |
| AEO (answer engine optimization) | Can an answer system give a useful answer that includes this business when it fits? | Inclusion and accuracy across a defined set of questions |
GEO and AEO are overlapping industry labels, not separate algorithms inside ChatGPT or Google. Google treats work on its generative AI search features as part of SEO. Here, AI visibility means something you can observe: whether a specific business location appears in an answer to a specific customer need, under recorded conditions. (Google Search Central: optimizing for generative AI features)
The distinction matters because “We rank well locally” is not a complete answer to “Are we recommended for the services we want to sell?”
What your Google Maps report can tell you
Google says its local results are mainly shaped by relevance, distance, and prominence. Complete business information helps Google understand what a location offers. Reviews and other information about a business can contribute to its prominence. These are statements about Google's local results; they are not a published list of ChatGPT ranking factors. (Google Business Profile: local ranking guidance)
A useful local SEO report might show how your location appears for “hair salon Le Marais,” whether the relevant page receives search visits, and what people do on your Google Business Profile. Google Business Profile performance can report actions such as direction requests, clicks on the call button, and website clicks. Those are valuable customer signals. (Google Business Profile: performance metrics)
But those numbers cannot tell you whether an AI answer named your Le Marais branch for “curly-hair consultation this Saturday,” whether it described the service correctly, or which sources appeared with its recommendation. You need to observe those answers directly.
What changes when the customer asks an AI assistant
An AI request can contain several constraints at once: service, neighborhood, day, budget, accessibility, or the kind of experience the customer wants. The assistant may respond with a narrative recommendation rather than a conventional results page. It may also show links or a map; the interface depends on the product, device, and request. What matters for the business is whether its location survives that more specific question.
The search behavior behind the answer can differ from the words the customer typed. OpenAI says ChatGPT Search may rewrite a request into targeted searches, including a city-specific search for a “near me” question. It can use approximate location from an IP address, optional device location, and, when enabled, relevant conversational context. Google says AI Overviews and AI Mode may use query fan-out, running multiple related searches across subtopics and sources. This does not mean either system always follows one fixed sequence. It means a single customer question may expose a business to several more specific searches. (OpenAI: Searching the web with ChatGPT, Google Search Central: AI features and your website)
For the salon, “hair salon Le Marais” and “curly-hair consultation this Saturday” are commercially different opportunities. A business may be visible for the first and poorly documented for the second. The practical response is to check whether it truly offers the service and, if so, whether the relevant location page and other accurate sources make that fact easy to verify.
Do not assume the AI answer is a perfect account of the customer journey. A person may read the answer, inspect a map, visit a website, or call later. The answer itself can also be incomplete or wrong. OpenAI advises users to check citations rather than treating them as proof. (OpenAI: Searching the web with ChatGPT)
The part local SEO and AI visibility share
You do not need a second, contradictory version of your business for AI. Both kinds of discovery benefit when a customer can establish the basics:
- Which location is this? Use the real business name, address or service area, website, and current opening information consistently.
- What can a customer get there? Describe actual services at the relevant branch, including meaningful differences between branches.
- Can someone act on the information? Make booking, calling, directions, and any material conditions clear.
- Can search reach the content? Keep important pages accessible, linked from the site, and readable as text.
- Is the information credible to a customer? Maintain accurate profiles, earn authentic feedback, and correct outdated claims in sources you control.
Google explicitly says established SEO practices remain relevant to its own AI features, including crawlable pages, useful textual content, internal links, and up-to-date Business Profile information. It says there is no special markup requirement for AI Overviews or AI Mode. That guidance is useful, but it should not be stretched into a claim that Google Maps positions transfer to ChatGPT. (Google Search Central: AI features and your website)
LocalBusiness structured data can help Google interpret details such as a location's address or opening hours when it accurately reflects the page. It is worth implementing correctly; it is not a published switch that guarantees a recommendation in AI answers. (Google Search Central: LocalBusiness structured data)
The additional GEO/AEO work is chiefly asking different questions, inspecting the answers, and finding gaps that your search and map reports do not expose.
An example: one location, two reports
In this illustrative scenario, Mira Salon's Le Marais branch has a complete Google Business Profile. Its team sees direction requests and website visits. The location page names haircuts and coloring, but describes its curly-hair consultations only as “specialist styling.” Saturday appointments are available through the booking system, yet the page does not say so.
Now the team checks a small set of customer questions in ChatGPT Search and saves each answer with its date, exact wording, location context, and cited links. In the checked answers, Mira is named for a general salon request but not for the curly-hair consultation request.
Here are the two findings, kept separate:
| View | What the team observed | What it can responsibly conclude |
|---|---|---|
| Local SEO | The branch receives Google Business Profile actions for general salon discovery. | Customers can find and act on its profile in Google's local surfaces. |
| AI visibility | The branch was absent from the checked answers for the specific consultation request. | It did not appear in this sample for this need. The reason still needs investigation. |
The team should first verify that the service and availability are real. Then it can inspect the cited sources, add a clear explanation of the consultation and booking conditions to the branch page, and correct any relevant profile that misstates the service. After those sources update, it can run the same questions again.
If the branch appears more often later, the team can report that observed change. It cannot claim that one edit caused the change from a simple before-and-after comparison. For a detailed method for diagnosing an omission, see Why Does ChatGPT Recommend Your Competitors — and Not You?.
Put both views in one operating report
An owner does not need another impressive-looking score with no clear decision attached. Start with one location, three to five customer needs that actually fit the business, and a small report your team can revisit.
| Track | Record | Decision it supports |
|---|---|---|
| Search and maps | Relevant queries, location or page visibility, Business Profile actions, site visits | Are customers finding the location on established discovery surfaces? |
| AI answers | Platform and mode, exact question, date, location context, repeated answers, location named or absent | For which customer needs does the branch appear? |
| Evidence | Cited links, accuracy of the branch description, missing or outdated facts | What verifiable gap should the team address first? |
| Business outcomes | Enquiries, bookings, and voluntary “How did you hear about us?” responses | Are discovery changes associated with useful customer activity? |
For AI answers, calculate a mention rate only within a clearly defined sample: the number of checked answers that name the specific location divided by the number of answers checked for that question group. Show the numerator and denominator beside the percentage. Keep platforms, neighborhoods, and customer needs separate until you have a reason to combine them. One answer is an example, not a trend.
Track traffic separately. OpenAI says links from ChatGPT Search can include utm_source=chatgpt.com, which helps identify some visits in analytics; a mention can happen without a click. Google Search Console now has a Generative AI performance report for impressions from AI Overviews and AI Mode, where data is available. Those impressions are also included in the broader Web report. Neither metric tells you whether ChatGPT named your branch or whether a visit led to a booking. (OpenAI: publisher FAQ, Google Search Console: Generative AI performance report)
Which action comes first?
Use the finding, not the acronym, to set the priority:
- The business does not fit the request. Do not optimize for a service, area, or time you cannot actually serve. Choose a customer need you can fulfil.
- A basic fact is wrong. Correct the branch name, address, hours, category, service, or booking link where the error appears.
- The relevant page is missing or vague. Explain the real service, which branch provides it, who it is for, and how to book. Write for a person deciding whether to visit.
- A relevant source is incomplete. Review the sources surfaced in the answers and correct a profile you control or seek an accurate inclusion where it genuinely belongs.
- The evidence is mixed. Repeat the checks under comparable conditions before funding a larger content or listings project.
None of these actions is a guaranteed route into an answer. OpenAI says ChatGPT Search considers multiple factors and does not guarantee placement. The standard is simpler: make the business accurately discoverable, identify the gap in the observed answer, take the most defensible action, and measure again. (OpenAI: Searching the web with ChatGPT)
Where Whereon fits
Local SEO tells you a great deal about search and maps. Whereon adds a repeatable view of location-specific AI recommendations: which customer questions name your branch, what other businesses appear, what sources the answers show, and what action is worth taking first. Follow-up checks show whether the observed answers change after your team acts.
You can do a first comparison manually. As the number of locations, questions, and AI platforms grows, the challenge becomes keeping the evidence and decisions comparable over time.
Want to see what your current local SEO report may be missing? Join the Whereon pilot to review one location and its next move.
Frequently asked questions
Does GEO or AEO replace local SEO?
No. Search and maps remain useful discovery surfaces, and their foundational work also supports clear, accessible business information. GEO and AEO add measurement of AI-generated answers to specific customer questions. Keep both sets of metrics rather than treating one as a proxy for the other.
If my business ranks well on Google Maps, will ChatGPT recommend it?
There is no automatic transfer. Google documents how it approaches its own local results, while OpenAI documents different search behavior and says ChatGPT Search placement is not guaranteed. Check the actual customer questions and location context in ChatGPT Search. (Google Business Profile: local ranking guidance, OpenAI: Searching the web with ChatGPT)
Do I need special AI schema or to put “near me” on every page?
No special schema is required for Google's AI Overviews or AI Mode. Accurate LocalBusiness markup can help Google understand supported business details, but it should match the visible page. OpenAI documents that ChatGPT Search may rewrite a “near me” request into a location-specific search; that is a reason to make the real service and location clear, not to repeat “near me” across the site. (Google Search Central: AI features and your website, Google Search Central: LocalBusiness structured data, OpenAI: Searching the web with ChatGPT)
Can I measure AI visibility with website traffic alone?
No. Referral traffic measures some visits, not every occasion on which an assistant names your business. Save and review a defined sample of answers for mention and accuracy; use analytics and enquiries to understand subsequent customer activity. Keep those measures distinct.