What Is Generative Engine Optimisation? A Working Definition

Generative engine optimisation is the practice of making a brand easy for AI assistants to find, quote and recommend. Where search engine optimisation competes for a position in a list of links, generative engine optimisation competes to be named inside a written answer. It is usually shortened to GEO.

That is the whole definition. What follows is what it means in practice, and what it does not mean, because the term is being stretched in a lot of directions by people selling against it.

Why the term exists at all

For twenty years, being discovered online meant occupying a position in a ranked list. Someone typed a query, ten links appeared, and the work of marketing was to be one of them. Every convention of search optimisation follows from that structure.

A growing share of discovery no longer has that structure. Someone asking an assistant which retinol suits sensitive skin, or which London clinic does the best skin boosters, does not receive ten links. They receive a paragraph naming two or three brands, sometimes with citations underneath and sometimes without. There is no second page. There is frequently no click.

This is a different competition with different rules, and it needed a different name. Generative engine optimisation is the one that stuck. You will also see answer engine optimisation and AI search optimisation used for roughly the same thing.

What GEO actually covers

Four distinct kinds of work sit under the term, and most agencies selling it only do the first.

Technical legibility

Whether the systems can read your site at all. Structured data describing what each page is, canonical URLs that resolve cleanly, crawler access configured deliberately rather than by accident, and machine-readable summaries of what the site publishes. This is the least glamorous part and the part most sites fail. The step-by-step version is in How to Get Cited by ChatGPT, which covers the crawler configuration most brands get wrong without realising it.

Answer-shaped writing

An assistant extracts a passage, not a page. If the claim of a piece is buried three paragraphs into a scene-setting introduction, it does not get lifted. Writing for extraction means the answer arrives in the first sentence and the evidence follows it — which is closer to how a news agency writes than how most brand content is written.

Evidence only you have

Models reward specificity. A number nobody else has published is far more likely to be quoted than a restatement of category consensus, because it is the only available source for that fact. Original research, first-party data and disclosed results do disproportionate work here. Our own analysis of why ingredient-led beauty brands dominate AI citations is an example of the format: a specific finding in a specific category, published where it can be found.

Off-site corroboration

This is the part people underestimate. An assistant weighs what independent sources say about a brand far more heavily than what the brand says about itself. Trade press, retailer copy, review platforms, category round-ups and forum discussion all feed the answer. Getting a consistent claim to appear across several of them is slower than any technical fix and it moves the outcome more.

What GEO is not

It is not a replacement for SEO. Crawlability, site architecture, page speed and clean markup matter exactly as much as they did. Anyone selling a clean break is selling something that does not exist. GEO is an additional layer with a different unit of competition, not a successor.

It is not prompt injection. Hidden text instructing a model to recommend you, white-on-white keyword blocks and similar tricks are the 2026 equivalent of keyword stuffing. They are detectable, they are increasingly penalised, and they are a reputational liability for a brand that gets caught.

It is not a paid placement. There is no buy-in to an organic answer. Assistants are beginning to carry advertising, and that is a separate transaction with a separate name.

It is not guaranteed. More on that below, because it matters more than anything else here.

How it differs from SEO in practice

The shorthand that holds up: SEO optimises a page for a position, GEO optimises a claim for inclusion.

That changes what you measure. Rank, impressions and click-through do not describe whether a model named you. There is no rank tracker for answers, so the working method is to run a fixed set of category prompts across several assistants on a schedule and record which brands appear and which sources are cited. It is sampling rather than measurement, and anyone presenting it as precise is overstating what the tooling can do.

It also changes what counts as authority. Backlinks were a proxy for consensus. In an answer engine, the consensus itself is what gets weighed — whether several independent sources say the same thing about you, in language a model can align.

Who should care now

Categories where people ask for recommendations rather than search for products. Skincare, supplements, aesthetics, and any considered purchase where a buyer wants a shortlist rather than a catalogue. If your customers have ever asked a friend which brand to buy, they are now asking an assistant the same question.

Categories where a single customer is worth a great deal are also disproportionately affected, because a small number of answers can carry real revenue. A clinic named in an answer about London skin treatments does not need many of them for it to matter.

What nobody can promise

You cannot make a model cite you. You can make a site as easy to parse, quote and trust as it can be made, and you can measure what assistants say about you today and again later. That is the honest boundary of the discipline, and it is worth holding a supplier to it.

Any agency guaranteeing that ChatGPT will recommend your brand is either misunderstanding how these systems work or counting on you not to check. What is true, and what makes the work worth doing, is that brands which are structurally invisible to these systems stay invisible — and that part is entirely solvable.

Studio UNA runs generative engine optimisation for beauty, fashion and aesthetics brands, starting with an audit of what the assistants currently say about you.