AI Search Optimisation — AEO and GEO Explained

Answer engine optimisation (AEO) is the practice of structuring a website's content so that search engines and AI models surface it as a direct answer to a user's question. Where traditional SEO aims to rank a URL in a list of results, AEO aims to have the content itself quoted or summarised — in featured snippets, voice search results, and AI-generated overviews.

The technical implementation involves question-and-answer content architecture, FAQ and HowTo schema markup, concise paragraph openings that answer the question in one or two sentences before expanding, and factual precision that makes the content safe for a model to cite. Vague, fluffy content does not get quoted. Precise, attributable content does.

Generative engine optimisation (GEO) is the process of making a business more likely to be cited by large language models — ChatGPT, Gemini, Perplexity, and others — when they generate answers to user queries. It goes beyond keyword optimisation into entity recognition: teaching AI models who you are, what you do, where you operate, and why you are authoritative.

GEO involves building topical authority (owning a subject across many related pages), establishing the business as a recognised entity in structured data and knowledge graphs, ensuring consistent name, address, and contact information across the web, and creating content at a level of specificity and accuracy that a model can safely quote without risk of error.

AI models draw on a combination of training data, live web retrieval (in models with browsing enabled), and entity relationships. Businesses that appear frequently in authoritative sources, are referenced consistently across the web, have clear structured data identifying who they are and what they do, and produce content that directly answers specific questions are more likely to be cited.

There is no single ranking factor the way there is in traditional SEO. It is a question of entity authority across multiple signals: how many times has a source been cited elsewhere, is it consistent with what the model knows about the topic, does the content demonstrate genuine expertise rather than surface-level coverage? The businesses that win in AI search are those that have built real depth on their subject, not those who have optimised for keyword density.

Traditional SEO optimises pages to rank in a list of ten results. GEO optimises a business to be cited within an AI-generated answer, which may not link to a ranked list at all — the AI just tells the user what it knows. The user never sees the search results page.

The underlying content principles overlap: clear, authoritative, well-structured writing is good for both. But GEO places far greater emphasis on entity recognition (schema markup, knowledge graph presence, consistent entity mentions across the web) and topical coverage (owning every relevant question in your niche) than classical keyword-focused SEO. A page can rank on Google for a keyword without being cited by an AI, and a business can be cited by AI without ranking for keywords. The ideal is both.

Google's AI Overviews pull from pages that Google already trusts for a given topic. The core requirements are: demonstrating first-hand expertise through original content that could only come from someone with genuine experience, using question-and-answer page structures that match the query intent, and implementing structured data — FAQ, HowTo, and Article schema — so Google understands the content type.

Factual accuracy matters more here than in standard organic rankings. Google is putting its own reputation behind the answer it surfaces in an Overview, so it selects sources that are consistent, credible, and specific. Vague marketing copy does not get pulled. Precise, verifiable information written by someone who knows the subject does.

AI search optimisation is included in the Run The Area (from £1,250/mo) and Own The Market (from £2,500/mo) retainers. Both tiers cover Google rankings and AI search visibility simultaneously, because separating the two produces worse results for both.

For businesses that already have traditional SEO handled and want to focus specifically on AI search visibility and entity authority, a scoped project can be discussed. Book a strategy call and bring the current state of your site — that is the fastest way to get an accurate picture of what needs doing and what it will cost.

Answer engine optimisation (AEO) and generative engine optimisation (GEO) are terms that describe the same practice from slightly different angles. AEO focuses on getting a business cited as the answer to a specific question in an AI response. GEO focuses on the broader goal of visibility across generative AI environments. An AEO specialist, GEO consultant, or AI visibility expert is someone who understands how retrieval-augmented generation works, what signals AI crawlers prioritise, and how to structure content and entity data so that a business becomes the source an AI engine reaches for.

"Generative search optimisation" is another way to describe this discipline. All of these labels converge on the same technical reality: getting a business into the training data, crawl data, and retrieval index that AI engines use to construct their answers. The technical foundations are the same whether the query lands in ChatGPT, Gemini, Perplexity, or the AI Overviews panel at the top of a Google results page.