Local SEO and Generative Engine Optimisation (GEO) are not competing strategies. Local SEO helps businesses become visible when people search for products or services in a particular place, while GEO focuses on helping AI-powered search and answer engines understand, trust and potentially recommend a business. For many businesses, the strongest approach is not choosing one or the other, but understanding how they work together as part of a wider digital visibility strategy.
What Is the Difference Between Local SEO and GEO?
One of the problems with digital marketing terminology is that we have become very good at inventing new acronyms.
Local SEO has been around for years.
GEO — Generative Engine Optimisation — is considerably newer.
And because both can influence how a business gets found, it would be very easy to assume we are talking about two versions of the same thing.
We aren’t.
Local SEO is primarily concerned with helping a business appear when location matters to the search.
GEO is concerned with helping generative AI systems understand and surface information about a business when answering a question.
There is overlap between them, particularly around clarity, authority, reputation and trust.
But they solve different problems.
This is one of the reasons I created the Digital Visibility Method™. Businesses increasingly need to understand how all these different parts of discovery connect rather than treating every new channel as an entirely separate marketing strategy.
What Is Local SEO?
Local SEO is the process of improving a business’s visibility for searches where location is important.
That might be:
carpet cleaner in Glasgow
accountant near me
best café in Ayr
recruitment agency Paisley
The person searching either specifies a location or Google determines that proximity is relevant to what they are looking for.
For a local business, visibility can depend on several things, including its Google Business Profile, website, location information, reviews, reputation, relevance and proximity to the person searching.
The objective isn’t simply website traffic.
Often the action happens before someone even visits the website.
They may:
- phone the business;
- request directions;
- read reviews;
- check opening hours;
- make a booking;
- view photographs;
- compare several nearby businesses.
That means local visibility extends beyond the traditional organic results.
What Is GEO?
GEO stands for Generative Engine Optimisation.
It describes the work involved in making information easier for generative AI systems to discover, understand and use when constructing answers.
That might include platforms and experiences such as ChatGPT, Google AI Mode, Gemini, Copilot and other AI-powered search tools.
I am slightly cautious about the word optimisation here because it can make GEO sound like there is a secret set of technical tricks that businesses can implement to suddenly start appearing in AI answers.
There isn’t.
At least, not in the way some of the early SEO industry conversation around GEO can make it sound.
For me, GEO sits within the much wider question of digital visibility.
Can an AI system find enough information about your business?
Can it understand what you actually do?
Does it have enough context to know when you are relevant?
Can it find supporting evidence elsewhere?
And ultimately, does it have enough confidence to include or recommend you?
Those are much more useful questions than:
“How do I rank number one in ChatGPT?”
Local SEO Is About Location. GEO Is About Understanding and Recommendation
The easiest way to understand the distinction is to consider what triggers each type of visibility.
With local search, location is usually fundamental to the need.
If I have a burst pipe in Glasgow, a plumber in Manchester is not a useful recommendation regardless of how authoritative their website is.
Proximity matters.
With generative search, the context can become much richer.
I might ask:
“I need an emergency plumber in the west end of Glasgow who deals with older tenement properties and has strong reviews. Who should I consider?”
Now we have location.
But we also have:
- urgency;
- service requirement;
- property type;
- experience;
- reputation.
A generative system can potentially evaluate far more than whether the words plumber Glasgow appear on a webpage.
That is where local SEO and GEO begin to meet.
The local signals help establish where you are relevant.
The wider digital footprint helps establish why you might be relevant.
Does Local SEO Still Matter in an AI Search World?
Absolutely.
In fact, I would argue that strong local SEO foundations become even more important as AI begins mediating more discovery.
An AI system still needs reliable information.
Where is the business?
What does it do?
What areas does it serve?
When is it open?
What do customers say about it?
Does the information on the website match information elsewhere?
If the basic facts about a business are inconsistent or unclear, adding “GEO” tactics isn’t going to fix the underlying problem.
This is something I think businesses need to be careful about.
The arrival of AI search does not mean we abandon the things that already help search engines and customers understand a business.
We build on them.
Google Business Profile Matters to More Than Map Rankings
For local businesses, Google Business Profile remains one of the most important digital assets.
But I wouldn’t think about it purely as something you optimise to get into the local map pack.
It contains important factual information about the business.
Category.
Address.
Service areas.
Opening hours.
Reviews.
Photographs.
Services.
Contact details.
Website.
Those pieces of information contribute to the wider picture of who the business is and what it does.
And that is a theme you will hear repeatedly from me when I talk about digital visibility:
Everything pulls from somewhere.
AI answers do not simply appear from nowhere.
Search engines and generative systems rely on information.
The clearer and more consistently that information exists across your digital footprint, the easier it becomes to understand your business.
Reviews Matter to Both Local SEO and GEO
Reviews are another obvious point of overlap.
For local search, they can influence whether someone chooses one business over another and contribute to overall local prominence and reputation.
For AI-led discovery, reviews may also provide context that a business cannot provide about itself.
You might say that you provide excellent service.
Customers might repeatedly say:
“They arrived within an hour.”
“They were brilliant with our dog.”
“They explained everything before starting.”
“They managed to remove a stain another company couldn’t.”
Those details can reveal much more about a business than a generic five-star rating.
This is why I think businesses need to start looking at reviews as customer evidence, not simply reputation management.
They tell potential customers something.
They can also help reinforce what a business is known for.
Your Website Has a Different Job Now
A local business website still needs the fundamentals.
Clear service pages.
Useful location information.
Good internal linking.
Strong titles and headings.
Accessible pages.
Relevant structured data where appropriate.
Useful content.
But I think the job of the website is becoming bigger.
It needs to answer more than:
“What keyword do we want this page to rank for?”
It also needs to answer questions such as:
What situations do you solve?
Who are you especially suitable for?
What don’t you do?
Which locations genuinely matter?
What experience do you have?
What questions do customers ask before buying?
What makes someone choose you rather than another nearby business?
What evidence supports the claims you make?
Those answers create clarity for people.
They also create context for systems trying to understand your business.
Local Content Shouldn’t Just Mean Creating Dozens of Location Pages
This is another area where traditional SEO thinking can become problematic.
A business serves ten towns.
So someone decides the obvious SEO strategy is to create ten pages.
Service in Town A.
Service in Town B.
Service in Town C.
Then essentially the same text is copied across all of them with the location name changed.
That may create pages.
It doesn’t necessarily create useful information.
If location genuinely changes the customer need, explain why.
Perhaps you have extensive experience in that area.
Perhaps different property types are common.
Perhaps delivery options differ.
Perhaps there are particular logistical issues.
Perhaps you can show local customer examples.
The question should be:
“What would make this page genuinely useful to someone in this location?”
Not:
“How many town names can we create pages for?”
That distinction becomes even more important in an AI-driven search environment because generic, interchangeable content provides very little additional understanding.
How AI Changes Local Search Behaviour
AI also changes the way customers can express local needs.
Someone no longer has to know the correct keyword.
Instead of:
wedding florist Edinburgh
they can ask:
“I’m getting married in Edinburgh next May. I want seasonal Scottish flowers and I don’t want anything that looks too formal. My budget is around £1,200. Which florists should I look at?”
That is an entirely different information requirement.
To be a useful recommendation, a florist may need to be understood in relation to:
- location;
- service;
- style;
- seasonality;
- budget;
- availability;
- reputation.
This is why I believe customer constraints are becoming such an important part of modern visibility research.
The more detail a customer can give the system, the more specific the recommendation can potentially become.
And businesses need to ask themselves:
Have we made that information available?
Should Local Businesses Be Optimising for GEO?
Yes — but I would not create a separate “GEO strategy” and forget everything else.
Start with strong digital visibility foundations.
Make sure your business is easy to find.
Make sure your location and service information is accurate.
Make sure your website explains what you actually do.
Make sure customers can find evidence of your experience.
Build and manage reviews.
Develop useful content based on real customer needs.
Strengthen your wider reputation.
Become visible in relevant third-party sources.
Then start examining how AI systems represent your business and your market.
For example:
Ask the kinds of questions your customers would genuinely ask.
See which businesses are mentioned.
Look at the sources being cited.
Examine why those sources may have been useful.
Identify information gaps.
Look for recurring recommendations and patterns.
That is very different from repeatedly typing:
“Who is the best [business type]?”
and recording whether your company appears.
Good GEO research needs context.
Local SEO vs GEO: Which Should You Prioritise?
For most genuinely local businesses, I would prioritise the foundations of local SEO first.
If people cannot reliably find and understand basic information about the business, there is little sense jumping ahead to sophisticated AI visibility work.
But that doesn’t mean you should wait to think about GEO.
The two can develop together.
A local business should be building:
Local discoverability
Can nearby customers find you?
Clarity
Can customers and machines understand exactly what you offer and where?
Authority
Is there evidence that you genuinely know what you are doing?
Trust
Do customers and third parties reinforce your claims?
Recommendation potential
Is there enough information for someone — or an AI system — to confidently suggest you when you are appropriate?
That is much closer to how I approach it through the Digital Visibility Method™.
What Should You Measure?
You shouldn’t measure Local SEO and GEO in exactly the same way.
For local visibility, useful indicators may include:
- Google Business Profile interactions;
- calls;
- bookings;
- direction requests;
- local organic visibility;
- local conversions;
- reviews;
- branded searches;
- visibility for relevant local queries.
For AI visibility, measurement is still evolving.
I would look at things such as:
- whether the business appears for relevant prompts;
- which competitors appear;
- whether the business is cited or recommended;
- the context in which it appears;
- which sources AI systems reference;
- whether descriptions of the business are accurate;
- recurring gaps in the information available;
- changes over time across a consistent set of test prompts.
The important word there is consistent.
Randomly asking ChatGPT a few questions one afternoon does not give you a meaningful benchmark.
This is an area where I expect measurement practices to develop considerably over the next few years.
You Probably Don’t Need to Choose
The title of this article asks:
Local SEO or GEO?
But for many businesses, that is actually the wrong choice.
A local business still needs local SEO.
And increasingly, it also needs to understand how AI-powered discovery changes the way customers search, research and compare.
One does not replace the other.
They are different parts of the same visibility problem.
That is why I prefer to start with the bigger question:
Can the right customer discover, understand and trust your business wherever they choose to look?
If the answer is yes in Google Maps but no in AI search, there is work to do.
If ChatGPT can describe you but your Google Business Profile is inaccurate, there is work to do.
If your website ranks well but customers can’t understand why they should choose you, there is work to do.
Digital visibility means looking at the whole picture.
SEO still matters.
Local SEO still matters.
GEO matters.
But none of them should exist in isolation.
The goal is to make it easy for the right customer – and the systems helping them to understand when your business is the right choice.
AI transparency: This article was created with AI assistance using my own ideas, experience, research and conversations. I have reviewed and edited the final content, and the views expressed reflect my own professional approach and the principles I teach through the Digital Visibility Method™.