What Is Generative Engine Optimisation, and How Is It Different from SEO?

Claire Taylor

Generative engine optimisation, usually shortened to GEO, is the practice of making your content more likely to be quoted and cited by AI systems that generate answers, rather than simply ranked by search engines that return links.

That is the definition. The rest of this article covers where the term came from, how it genuinely differs from SEO, what the competing acronyms mean, whether any of it is new, and whether your business needs to care.

We will also say plainly which parts we think are useful and which parts are agencies renaming things they already sold you, because there is a lot of the latter about.

What Does Generative Engine Optimisation Actually Mean?

A generative engine is any system that composes an answer rather than returning a list of links. ChatGPT, Perplexity, Google Gemini, Microsoft Copilot and Google’s AI Overviews all qualify.

Optimising for them means something different from optimising for a ranked list. A search engine decides which page deserves position one. A generative engine decides which passages it trusts enough to state as fact, and whose name it attaches to them.

The shift is from being ranked to being quoted. Those are related goals and they are not the same goal, which is the entire reason the term exists.

Is This a Real Discipline or a Rebrand?

Honestly, a bit of both, and it is worth separating the two.

The genuine part: the mechanism has changed. A system that assembles an answer from passages rewards different things from one that orders pages. It cares about extractability, corroboration, specificity and clear attribution in ways that ranking algorithms historically cared about less. Some of what works here has little to do with conventional ranking factors.

The rebrand part: a good deal of what gets sold as GEO is competent technical SEO and content work that any decent agency was doing already. Schema markup, clear structure, entity consistency and genuine authority are not new ideas. They have simply become more consequential.

Our position is that GEO is a useful label for a real shift in emphasis, and a poor excuse for a separate invoice. If someone proposes GEO as an entirely new service alongside your existing SEO, ask them which specific activities differ. The honest answer is that perhaps a third of it is genuinely distinct.

How Is GEO Different from SEO in Practice?

Where the two actually diverge, rather than where the marketing says they do.

Read down the right-hand column and you will notice something. Roughly two thirds of it is good SEO practice with the emphasis moved. The genuinely new work sits in three places: extractability, entity clarity, and measuring something other than rankings.

What About AEO, AIO, LLMO and All the Other Acronyms?

This is a genuine source of confusion and mostly it is noise. Here is what people mean when they use them.

Our advice is to ignore the acronym competition and ask what work is being proposed. The label somebody chooses tells you about their marketing. The activity list tells you whether they know what they are doing.

What Does the Work Actually Involve?

Six areas, roughly in the order we would tackle them.

1. Reachability. Can AI crawlers get to your site at all? Robots rules, Bing indexing, and whether your firewall is quietly refusing bots that send minimal headers. Nothing else works until this does.
2. Extractability. Answer the question in the first two sentences under a heading that states the question, then explain underneath. Assistants quote passages, so give them a passage worth quoting.
3. Specificity. Replace claims with checkable facts. Numbers, timeframes, named methods, real prices where you can. Unquotable content is invisible content.
4. Entity clarity. Organisation, Person and Author schema. Consistent name, address and description across every platform. Named authors with credentials. Machines have to be certain who is speaking before they will repeat it.
5. Corroboration. Independent coverage in places your industry respects. This is the slowest part and the hardest to fake, which is exactly why it carries weight.
6. Measurement. A fixed question set, run monthly across several assistants, recording who is named and which sources are cited.

If you want the step-by-step version, why is my business not showing up in AI search works through the same ground as a diagnosis rather than a method.

Does GEO Replace SEO?

No, and be wary of anyone who suggests otherwise, because it is usually someone with a new service to sell.

Three reasons the foundations still matter. Google remains where most buyers start, even if a growing share of them never click. AI Overviews draw on Google’s index, so conventional visibility feeds directly into AI visibility. And ChatGPT retrieves through Bing, which is a search index like any other.

The honest framing is that GEO is an extension of SEO rather than a replacement for it, built on the same foundations with different priorities on top. A business with no technical foundations and no authority will not succeed at either.

What has genuinely changed is the reporting. If your agency still leads with sessions and rankings and has no view on whether you are named in AI answers, they are measuring a world that is receding. We go through that in why has my website traffic dropped in 2026.

What Should I Measure Instead?

• This is the part most businesses have not solved, and it is harder than it sounds because there is no position one to screenshot.
• Named or not named, across a fixed set of buyer questions, in the same assistants each month.
• How you are described when named. Being described wrongly is a different problem from being absent.
• Which sources are cited in the answers. When your own pages start appearing there, the work is landing.
• AI referral traffic and its conversion rate, tracked separately. Volume will be modest and quality is usually high, so a blended figure hides the finding.

Keep it in a spreadsheet for the first six months. Tools are arriving and some are good, but reading the actual answers teaches you more than a score, particularly at the start.

Who Actually Needs This?

Not everyone equally, and it is worth being straight about that rather than selling it to the whole market.

It matters most if

Your buyers research before they contact you. Your service is considered rather than impulsive. Your category has genuine expertise in it that can be demonstrated. You serve a defined niche or area, because assistants answer specific questions far more confidently than broad ones. Or your enquiries have quietly slowed without any obvious cause.

It matters less if

You sell on price with almost no research involved. You trade entirely on walk-in or existing relationships. Or you are so dominant in a tiny category that you are the only credible answer regardless.

Most businesses selling anything considered fall into the first group, and many have not noticed the shift because the enquiries that never arrive are invisible. Nobody writes to say they chose a competitor an assistant recommended.

Is It Too Early to Bother?

The opposite, and this is the strongest argument in the subject.

Search volumes for AI-related terms are still small compared with conventional search, and it is tempting to wait. But being early in a category that has not settled is worth far more than being competent in one that has. The businesses being cited today are building positions that will be expensive to displace in two years.

The cost of moving now is a few weeks of technical work and an editing pass. The cost of moving in 2028 is competing with everyone who moved in 2026.

How We Approach It at TU

We treat it as one workstream rather than two invoices. The foundations serve both conventional search and AI visibility, and separating them creates duplicated work and a confusing report.

We start with reachability and measurement, because there is no sense improving content that cannot be fetched, and no sense doing any of it without a baseline to compare against. Then extractability and entity work, which are fast. Then content and corroboration, which compound.

On whether it produces business: one of our clients is a UK law firm in a specialist field. Around 30 percent of the enquiries arriving from AI-referred visits convert, against 3.9 percent across their website traffic as a whole. Roughly eight times. Seventeen enquiries from about fifty-six visits in a month. Analytics groups the assistants into one channel, so that covers AI referrals as a whole rather than a single tool.

We also run our own website this way, with an owner, a monthly report and a number to hit, and we publish what we learn including the parts we are still unsure about. Ask anyone pitching you GEO to show you their own results before they show you a proposal.

If you want a baseline, we will run an AI visibility snapshot: what the assistants say about your business today, who they recommend instead and why. You keep the findings whether or not you work with us.

Frequently Asked Questions

Is generative engine optimisation the same as AEO?

Near enough, in practice. Answer engine optimisation is the older term and predates generative AI, referring to being the direct answer to a question. GEO is the broader and more current label. Anyone drawing a hard distinction is usually selling one of them.

Do I need a separate GEO agency?

No. If your current agency understands structure, schema, entity signals and authority, they are already most of the way there. What you should ask for is a change in what they measure and report, not a second supplier.

How much does GEO cost?

For most small and medium businesses it should be a shift in emphasis within existing work rather than a new line on the invoice. Be sceptical of a separate retainer unless the specific additional activities are clearly named.

Can I do this myself?

Much of it, yes. Bing registration, robots rules, consistent business details, moving answers to the top of pages and adding specifics are all achievable in-house. Schema and server-level crawler checks usually need a developer.

Does GEO help my Google rankings too?

Generally yes. Clearer structure, better entity signals, specific content and genuine third-party coverage all support conventional rankings as well. Very little of the work is wasted if AI search stalls.

How long before I see anything?

Mechanical changes can show within two to six weeks. Authority and corroboration take six months and beyond. Anyone promising faster is guessing.

Will keywords stop mattering?

Not entirely, but their role is narrowing. Questions, entities and topics matter more than exact phrases, because assistants interpret meaning rather than matching strings. Keyword research remains useful for understanding demand; it is less useful as a page-by-page mapping exercise.

What if the whole thing turns out to be a fad?

Then you will have a faster, better structured, more specific website with clearer authorship and stronger third-party coverage. That was worth doing anyway, which is the most reassuring thing about this work: the downside case is still a better website.