GEO vs AEO: Two Different Problems, One Business Impact

The confusion is completely understandable (we don't judge)

AEO. GEO. SEO. At a certain point it starts to sound like someone dropped a Scrabble bag and ran with it. Bear with us. The distinctions matter, and they're easier to follow than the acronyms suggest.

AEO (Answer Engine Optimisation) and GEO (Generative Engine Optimisation) both describe optimisation for AI-driven responses. Both involve structured content and schema markup. Both aim to get your business cited rather than just ranked. And most London businesses haven't touched either yet, which is an opportunity.

But they target different platforms, serve different customer behaviours and reward different content structures. Treat them as the same thing and you end up with a strategy that half-serves both, like wearing one shoe from two different pairs. Your feet are technically covered, but it's uncomfortable to walk in.

AEO: winning the spoken answer

AEO is about voice search on Siri, Alexa, and Google Assistant. When a customer asks their phone or smart speaker a question about a local business, AEO shapes what they're likely to hear back.

The interaction is immediate and local. "Locksmith near me tonight." "Dentist open now in Camden." "What's a good Thai on Upper Street." These are queries asked in the moment (driving, cooking, standing in a hallway), and they expect a single spoken answer straight away. Nobody scrolls or browses. One name gets read aloud, and that's it.

According to Statista, there were over 8 billion digital voice assistants in use globally by 2023, which is more than one per person on the planet. Closer to home, Ofcom's research consistently shows UK smartphone penetration above 90%, with voice assistant usage particularly high among commuters. In London, that's basically everyone.

The content that wins voice answers is structured, concise, and directly responsive to the question format. Google's Speakable schema tells voice platforms which parts of your page are suitable to read aloud. Featured snippet capture is the most reliable pathway to becoming the Google Assistant answer for a given query. AEO is about local intent and immediate conversion, because at that point the customer isn't researching. They're deciding.

(AEO is a bit like telling a joke: timing is everything. The business that's structured its content for voice search gets the customer at the exact moment they're ready to act. The business that hasn't gets nothing, and never finds out what it missed.)

GEO: winning the AI citation

GEO is about AI language models such as ChatGPT, Perplexity, Google Gemini, and Microsoft Copilot. When a customer opens one of these tools and asks a question that leads to a local business recommendation, GEO improves the chance that your business gets named.

This interaction is different from voice search in ways that matter commercially. It tends to happen during a deliberate research session. Someone sitting at a desk, or on their phone on a Sunday evening, trying to make a considered choice about something significant: a solicitor to handle a dispute, an accountant to sort out their finances, a contractor to renovate their kitchen. They're building a shortlist rather than acting on impulse. The intent is real, and they usually follow through.

BrightLocal's research has tracked the shift in how people research local businesses for years, and the direction is consistent: AI tools are becoming a meaningful part of the funnel for higher-consideration purchases. Customers looking for professionals (solicitors, accountants, builders, specialists of any kind) are increasingly likely to ask ChatGPT before they ask Google. If you're not in the AI response, you're not on the shortlist.

The important thing to understand about GEO is how AI tools build their responses. They don't pull directly from your website the way a voice assistant does. They synthesise from training data, web indexing, and entity knowledge: what they understand your business to be, and how other credible sources talk about it. GEO is about becoming a well-understood, well-cited entity in the places AI models draw from. Think less "page rank" and more "professional reputation".

If AEO is about raising your hand in class to answer the question, GEO is about being the person all the other students whisper "ask them" about when someone needs help. AEO is a content structure problem and GEO is a reputation-building problem. Both can be solved, but treating them as one means you solve neither properly.

The key differences, side by side

Neither column is better. They describe different customers at different moments with different needs. Ignore either one and you leave money on the table for whoever did bother to show up.

Where AEO and GEO overlap

Despite the differences, AEO and GEO share significant technical foundations. Strong local entity signals benefit both. Clean structured data and complete JSON-LD schema support both. High-quality, directly-answerable content performs in both contexts. A fast, well-structured website is a prerequisite for both.

That overlap has a practical upshot. A well-executed AEO strategy isn't wasted effort from a GEO point of view, because the technical groundwork carries straight over. That's why we run them in parallel. A business building both together compounds faster than one treating them as two separate projects with a queue between them.

They diverge most sharply in the off-page work. AEO relies heavily on featured snippet capture and local content, which is mostly on-site optimisation. GEO needs a broader network of citation signals: mentions, references, and entity acknowledgements across directories, industry publications, community platforms, and authoritative sources that live entirely outside your own website. This workstream takes the most consistent effort to build, and it's the hardest for competitors to copy quickly once you've built a lead.

According to Moz's local SEO research, citation consistency and entity authority are among the most important signals for local ranking. Those same signals feed directly into how AI models understand and represent local businesses. Fix them once and they work across all three channels: traditional search, voice, and AI.

A practical example: the Hackney solicitor

Take a solicitor in Hackney, and two potential clients who find them in very different ways.

AEO scenario: A resident in Hackney has a landlord dispute. It's a Thursday evening, they're frustrated, and they ask Alexa: "Find me a solicitor in Hackney." This is an immediate-intent query. There's no deliberation happening. Alexa reads out one name. If that name is our Hackney solicitor, they get a call on Friday morning. If it isn't, they get nothing, and no notification that they missed out.

GEO scenario: A small business owner is relocating their office to Hackney. On a Sunday evening they open ChatGPT and type: "Can you recommend a commercial property solicitor in East London with experience in lease negotiations?" This is a research query. They're forming a shortlist. GEO work is what gives the solicitor a chance of being named in that response. That leads to an instruction the following week, probably worth several thousand pounds.

Both interactions are worth real money, and neither replaces the other. Most Hackney solicitors are losing both today, because they haven't done any AEO or GEO work at all. They're relying on a Google ranking from three years ago and hoping for the best. (Technically that's a strategy. Just not a great one.)

The legal sector makes a good example because the stakes per interaction are easy to see. One new client from a GEO citation can represent thousands of pounds in fees. One voice search answer can drive a same-day appointment. The ROI maths on getting this right are not subtle.

The London angle

London is both the hardest and the most rewarding market to do this in. That sounds like a contradiction, but it isn't. Traditional SEO in London is fiercely competitive, with established agencies, large budgets and years of accumulated domain authority. That race is hard to win from scratch.

AEO and GEO are different. BrightLocal's voice search research consistently shows that most local businesses, London ones included, have done next to nothing to optimise for voice. So the field is wide open. London's density makes voice search particularly valuable (five competitors within walking distance, and the customer can only hear one name), and plenty of London's tech-forward workforce already use AI tools day to day.

Businesses that build AEO and GEO authority in London now will be difficult to dislodge later. The work itself can be copied, but the head start compounds.

The early movers here won't necessarily be the best-funded or the best-branded. They'll be the ones who showed up in these channels before it was obvious they mattered. That window is still open, but it won't stay open forever.

One plan for search, voice and AI

If you're only doing traditional SEO, you're visible in one channel while your customers search across three. AEO adds voice and GEO adds AI tools. Neither is a fringe technology or a future trend. Real customers are using both right now to find businesses, and if they don't find yours, they find someone else.

The technical foundations overlap enough that building all three together is more efficient than addressing them one at a time. Content that wins a featured snippet also improves your GEO entity signals. The FAQ structure that powers AEO is the same structure AI models prefer to extract from when building their responses. One body of work feeds all three channels.

Businesses that build all three now will be hard to displace by the time their competitors notice. That's a comfortable position to be in. Realising all this in eighteen months and trying to close the gap isn't.