What Is Generative Engine Optimisation?
AI assistants now answer the questions people used to type into Google, and they name businesses when they do. GEO is the work of being the business they name.
Generative engine optimisation is making your business the one AI systems describe, cite and recommend — in ChatGPT, Gemini, AI Overviews and Perplexity. It works by feeding the two places answers come from: training knowledge (what the web has consistently said about you) and live retrieval (what systems find and cite while answering). It matters because the shortlist is the whole result: no page two, often no click. It extends SEO rather than replacing it, same foundations, sharpened for machines that quote. And the honest caveat: the systems publish no rules, so real GEO optimises the inputs and reports the outcomes, without pretending to command the machine.
What GEO is, and how it actually works
Generative engine optimisation is the work of making your business the one AI systems describe accurately, cite as a source and recommend by name. Tools such as ChatGPT, Google's Gemini and AI Overviews, and Perplexity now answer many of the questions people used to type into a search box, best accountant near me, which builder for a loft conversion, is this company any good, and they compose those answers from what they know and can retrieve about businesses like yours. GEO is the discipline of shaping what they find: who you are, what you do, where you operate, and why you are worth naming, per the fuller mechanics in how AI search engines decide what to recommend. The absorbed how-it-works question has a two-part answer, because AI answers come from two places. Training knowledge: what the web has said about your business over time, baked into the model, which rewards a consistent name, clear descriptions and genuine mentions across trusted places, and punishes the business described three different ways in four different directories. Live retrieval: many systems search the web while answering and cite what they find, which rewards pages that answer questions directly, structured data that makes facts machine-readable, and being present in the sources the systems actually consult. The practical work is therefore unglamorous on purpose: entity and information hygiene, the business described identically everywhere; content built to be quoted, direct answers with real depth; presence in the retrieved layer, mentions, citations and reviews where AI systems look; and monitoring, checking what the major systems currently say about you and your key questions, and correcting course. Groundwork, not a trick, which is exactly why it holds while tricks decay.
Be legible
One name, one description, machine-readable facts: the business the systems can parse.
Be quotable
Direct answers with genuine depth: the content an engine lifts into its response.
Be cited
Mentions, reviews and references in the sources the systems retrieve: presence where they look.
Why it matters now, how it relates to SEO, and what nobody can honestly promise
Why it matters, the absorbed question, comes down to one structural fact: a growing share of discovery finishes inside the answer. When an AI assistant names three businesses in response to a question, there is no page two, no tenth blue link, and often no click at all: the shortlist is the whole result, and the conversation may move straight to which of the named three to contact. Businesses named in those answers inherit the enquiry; businesses absent from them do not exist for that customer, however good their website's traditional rankings. The shift is early but moving in one direction, the full picture is in what is AI search, and visibility built now is built while most competitors are not yet trying, the same early-mover logic that rewarded the first businesses to take Google seriously. The relationship to SEO is overlap, not replacement. AI systems learn from and retrieve the same web Google ranks, so the foundations of good SEO, clear pages, structured data, authority, reviews, consistent business information, are also the raw material of AI answers; GEO extends that work, content shaped so machines can quote it, entity signals sharpened, presence built in the sources the systems draw on. A business strong in one is most of the way to the other, which is why we run them together, and the full comparison lives in SEO vs GEO. And the honesty that anchors this whole cluster: no one commands these machines. No AI company publishes its recommendation logic, the systems change frequently, and anyone claiming certainty about the algorithm is selling it. What can be said responsibly is that clearly described, consistently named, widely cited, well-reviewed businesses with genuinely useful content appear more, observed patterns across every major system, and that those levers are all real work a business controls. GEO done honestly optimises the inputs and reports the outcomes, per the measurement guide, without pretending to command the machine; done dishonestly, it is a promise about someone else's product.
Be the business
the machines name.
Entity clarity, quotable content and presence where the systems look: GEO worked monthly alongside your SEO, with what the engines actually say monitored and reported.
Everything included in your plan:
One clear retainer. No setup fee.
