GEO, AEO, and AO: what's the difference and which one matters?

The field of getting your business recommended by AI has at least three names and counting. If you have searched for information on this topic, you will have seen GEO, AEO, AO, and "AI SEO" used almost interchangeably. They are not quite the same thing. Here is what each one means, where they overlap, and which one matters most if you run a small service business.

What is GEO (Generative Engine Optimisation)?

GEO stands for Generative Engine Optimisation. The term comes from academic research and refers to optimising your content so it gets cited in AI-generated answers. Think Google AI Overviews, ChatGPT's web-browsing mode, and Perplexity.

The focus is on content: writing clearly, using statistics and citations, structuring information so that generative AI can pull from it when composing an answer. If a GEO practitioner is working on your business, they are mostly thinking about your website copy, your blog posts, and how those pages are written and formatted.

GEO is a useful concept. But it is primarily a content strategy, and for many small businesses, content is not the main problem.

What is AEO (Answer Engine Optimisation)?

AEO stands for Answer Engine Optimisation. It overlaps significantly with GEO but frames the problem differently. Instead of "generative engines," AEO talks about "answer engines," meaning any system that gives direct answers rather than a list of links. That includes ChatGPT, Perplexity, Google SGE, and voice assistants like Alexa and Siri.

The AEO approach focuses on being the answer to a question. If someone asks "Who is the best plumber in Canterbury?", AEO is about making sure your business is the one that gets named. The tactics include FAQ content, structured data, featured snippet optimisation, and clear, direct answers on your website.

Like GEO, AEO is heavily content-focused. It assumes the main challenge is getting your information into AI outputs. For businesses that already have strong web content, this can be effective. For a local electrician or therapist with a five-page website, the content-first approach misses the bigger gaps.

What is AO (Agent Optimisation)?

AO stands for Agent Optimisation. It starts from a different premise: AI systems are not just answering questions, they are acting on behalf of users. When someone asks ChatGPT to "find a reliable sound therapist near Maidstone," the AI is not just generating text. It is searching, comparing, evaluating, and recommending. It is acting as an agent.

AO focuses on making your business readable, evaluable, and recommendable by those systems. That means structured data (schema.org JSON-LD), consistent directory listings, pricing signals, credentials, reviews, and service area clarity. Not just content that AI can cite, but business information that AI can process and act on.

The distinction becomes clearer when you consider where AI is heading. In 2026, AI agents can already compare prices, check availability, and in some cases book services directly. Being cited in a paragraph is one thing. Being selected by an autonomous system that is about to make a transaction is another. AO is built for that second scenario. For a deeper explanation, see our article on what Agent Optimisation actually involves.

How they overlap

All three approaches agree on the fundamentals:

• Structured data helps AI understand your business.
• Clear, factual information performs better than marketing language.
• Consistency across your website, directories, and profiles matters.
• Reviews and trust signals influence AI recommendations.
• A complete Google Business Profile is important for local businesses.

If you did the basics well, you would satisfy the core requirements of all three. The disagreement is about emphasis and direction. GEO and AEO lean towards content optimisation. AO leans towards business information architecture.

Why the distinction matters for small businesses

If you are a marketing agency with a team of writers, the GEO/AEO content approach makes sense. You can produce optimised articles, FAQ pages, and thought-leadership content at scale.

If you are a plumber, a therapist, an electrician, or a BSL interpreter, your challenge is different. You probably do not need more blog posts. You need AI to know what you do, where you do it, what it costs, and whether you are credible. That is a structural problem, not a content problem.

For most small service businesses, the AO framing is more actionable. It focuses on the information that AI actually uses when making a recommendation: your schema markup, your Google Business Profile, your pricing transparency, your review profile, and your directory consistency. These are concrete things you can fix, and they have a direct effect on whether AI includes you.

What to actually do

Regardless of which acronym you prefer, here is the practical priority order for a small UK service business:

• Complete your Google Business Profile. Every field, every category, every photo. This is free and has the highest impact. Read more about how your GBP affects AI results.
• Add structured data to your website. Schema.org JSON-LD that describes your business, services, pricing, and service area. This is the layer AI reads directly. See our guide to schema markup for small businesses.
• Make your NAP consistent. Name, address, phone number should be identical across every listing: your website, Google, Yell, Yelp, industry directories.
• Show pricing signals. AI struggles to recommend businesses with no pricing information. Even "from" prices or typical ranges help.
• Get recent reviews. Not just quantity. Recency and specificity matter. A review from last month that mentions a specific service is worth more than fifty generic five-star reviews from 2023.

You will notice this list reads more like AO than GEO or AEO. That is because for small businesses, the structural work is where the gap usually is. The content can come later.