SEO vs AEO vs GEO: what’s the difference and where should you invest?

Search Engine Optimisation is the broad discipline of making a website technically accessible, relevant to useful search demand, credible enough to compete and commercially effective when the right visitor arrives. It covers far more than title tags. A serious SEO programme includes crawlability, indexation, rendering, information architecture, internal linking, content quality, search intent, authority, structured data, page experience and measurement.

For a UK business, the commercial job of SEO is to connect a real search problem with the most appropriate page and then make that page a credible answer. That can mean a national service page, a local service page, a comparison guide, an ecommerce category, a technical resource or a case study. The page type should be chosen from the intent, not from a desire to create more URLs.

Google’s current guidance for generative AI features explicitly says that established SEO best practices remain relevant. That matters because it removes a common misconception: AI visibility is not a reason to abandon the technical and editorial fundamentals that make information discoverable in the first place.

Answer Engine Optimisation focuses on whether a system can identify a concise, reliable response to a question and understand the context around it. The best AEO work is not a collection of one-sentence answers written for bots. It is a clear information hierarchy: answer the question early, define important terms, explain the conditions and exceptions, support the answer with evidence, and give the reader a route to deeper information.

A direct-answer block can be useful when it improves the experience for a human reader as well. For example, a page about technical SEO can answer “What is technical SEO?” in a short paragraph, then explain crawling, rendering, canonicalisation, JavaScript, Core Web Vitals and structured data in more depth. The short answer is extractable; the supporting page is still substantial.

Structured data can help machines classify information, but it should match the visible page. Marking up facts that are not present for users does not create expertise. AEO therefore works best when the visible content is already clear, well organised and specific.

Generative Engine Optimisation is best understood as the work of improving how a brand and its information can be represented in generative search journeys. Those journeys may combine multiple searches, sources and evidence before producing an answer. The practical implication is that a business needs more than a page containing the right phrase.

Entity consistency matters: the organisation name, services, people, locations served, contact details and expertise should agree across the site and reputable external sources. Evidence matters: original research, useful tools, case studies, named authors, references and genuinely earned third-party citations give systems more material to corroborate. Content relationships matter: service pages, guides, definitions, case studies and tools should link together in a way that makes the subject architecture understandable.

OpenAI also distinguishes between its search crawler and training crawler. OAI-SearchBot is used for surfacing sites in ChatGPT search experiences, while GPTBot is a separate training crawler. This is another reason to treat crawler policy as an operational decision rather than assuming every AI bot has the same purpose.

Start with the constraint. If important pages are not being crawled or indexed correctly, technical SEO comes first. If the site has no strong commercial pages for the searches buyers actually make, content architecture comes first. If the information is useful but difficult to extract, direct-answer structure and better information design may be the next step. If the brand is poorly represented outside its own website, entity consistency, digital PR, original research and citations become more important.

Most businesses do not need three disconnected retainers labelled SEO, AEO and GEO. They need one search-visibility plan with shared technical foundations, a deliberate content model, trustworthy evidence and measurement across traditional and AI-assisted discovery. The labels are useful for diagnosing the work; they should not create silos.

The strongest prioritisation question is therefore not “Which acronym is newest?” It is “What is preventing the right customer or system from discovering, understanding, trusting and choosing this business?” That question keeps the programme commercial and reduces the risk of chasing tactics that have no measurable connection to demand.