A Quiet Field Guide to Generative Engine Optimisation (GEO)

There is a good reason most articles about Generative Engine Optimisation read like a sales brochure. The field is new, the consultancies are young, and the temptation to oversell is real. This article tries to do the opposite. It walks through GEO the way a calm internal champion might explain it to a wary head of marketing.

If AEO is the work of being cited, GEO is the broader work of being represented. The two overlap heavily, and most practitioners use the terms more or less interchangeably. Where they differ, GEO casts a slightly wider net, taking in everything an AI system might say about a brand, whether it cites a source or not.

A useful first frame

Before any tactic, three questions are worth answering for the brand.

What does the brand want a generative AI system to say about it when a customer asks?

What is it actually saying right now?

What is the cheapest, most reliable way to close the gap between the two?

A surprising amount of GEO work begins and ends inside those three questions. The first two are diagnostic. The third is the entire programme.

It is worth doing the first two literally. Open ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek. Ask each of them ten questions a customer might ask. Note what is true, what is false, what is missing, and what is just outdated. The transcripts will do more to align an internal team than any number of slide decks.

The four kinds of GEO work

The work tends to fall into four families. They overlap, and a healthy programme touches all of them, but they are conceptually distinct.

1. Source hygiene

The first family is making sure the sources AI systems already read about the brand are accurate, structured and easy to find. The brand's own site is the obvious starting point, but it is rarely the most leveraged surface.

The pages and registers and directories that describe the brand on the open web frequently carry more weight than the brand's own marketing copy. A correctly filled-out Wikipedia article, a clean Crunchbase entry, an up-to-date Companies House or ASIC record, a clean Google Business Profile, accurate listings on industry-specific registers: these are the surfaces a generative system will treat as authoritative, often more than the brand's own homepage.

Source hygiene is unglamorous, occasionally tedious, and almost always the highest-ROI GEO work in the first quarter of an engagement.

2. Content depth

The second family is making sure the brand's own content actually answers the questions a real customer would ask, in roughly the language they would ask them. This is where GEO sits closest to classical content marketing, and where many SEO instincts transfer cleanly.

The shift from SEO content thinking to GEO content thinking is small but important. Classical SEO favoured pages that targeted a keyword. GEO favours pages that answer a question. The difference, in practice, is that GEO content tends to be slightly longer, slightly more direct, and slightly more willing to make a recommendation than classical SEO content was.

A page that begins with the question and then answers it within the first two paragraphs is significantly more likely to be cited than a page that buries the same information halfway down. Generative systems read more like analysts than like keyword counters.

3. Authority

The third family is the slow, mostly off-domain work of becoming the kind of source generative systems treat as authoritative. This is where GEO and traditional reputation building converge.

Authority signals are heterogeneous and not always intuitive. Being mentioned in respected publications helps. Being cited in academic or industry research helps. Being referenced inside the documentation of a related product or platform helps. Appearing on the kind of podcasts whose transcripts get scraped helps. Each of these is small. In aggregate, over a year or two, they shift the brand's category position in a way no on-domain work can.

Authority is also the family of work most often skipped by people who confuse GEO with on-site optimisation. It is the longest-lead component, and it is the hardest to measure week to week. It is also, for most brands, the most defensible.

4. Measurement

The fourth family, and the one we will not stop banging on about, is measurement. Without a baseline and a continuous read on how the brand is being represented, every other family is faith-based.

A serious GEO measurement practice tracks at least three things over time. The set of prompts that matter to the brand. The set of engines whose answers matter to the brand. And the answers themselves: who is cited, who is mentioned without citation, what sentiment surrounds the brand, and what competitors appear in the same answers.

It also tracks change. The point of measurement is not the snapshot. The point is the curve. A brand whose citation share has risen over the last quarter is doing something right, whatever the absolute number. A brand whose share has been flat for six months despite heavy activity is doing the wrong work.

A practical sequence

For most brands, a sensible GEO programme rolls out roughly as follows.

The first month is mostly diagnostic. Establish the prompt set, establish the engine set, and gather a clean baseline. This sounds easy and is not, particularly if the prompts are taken seriously and the engines are sampled at a sensible frequency.

The second and third months are mostly source hygiene. Fix the brand's own site and its most-cited off-domain surfaces. Get structured data right. Update the entries on the registers and directories where the brand should be listed. Clean up any obviously wrong or out-of-date claims circulating about the brand.

The fourth through sixth months are mostly content depth. Build or rewrite the pages that answer the questions the baseline showed the brand losing. Add the comparison content, the practical guides, the long-form explanations that generative systems quote.

The work in months seven through twelve becomes more authority-focused. Earn the off-domain references that take time. Get cited by respected industry sources. Find the niche communities and the longer-form formats where the brand can establish category presence.

Throughout the year, the measurement layer keeps running, and the programme adjusts to what the data shows. By month twelve, a well-run GEO practice has moved the citation share for a meaningful subset of the brand's important prompts, and the brand has a better answer to the question of what AI is saying about it than its competitors do.

A short note on tone

One of the more interesting things about GEO is that the systems being optimised for are sensitive to tone in a way classical search algorithms were not. A brand whose copy is uniformly hyped, slightly defensive, or visibly attempting to manipulate a search system tends to come through in AI answers as exactly that. A brand whose copy is calm, specific, and willing to acknowledge limits tends to come through as trustworthy.

This is a quiet but real shift. GEO rewards honest brand writing in a way SEO did not, because the systems doing the reading have absorbed the same writing tics from the rest of the web and have learned to discount them. It is one of the more agreeable side effects of the new field.

Why this is the right work to be doing now

Three reasons.

The first is that AI usage curves are early. The brands that establish category presence now will be cited disproportionately in the years when most search journeys begin in a generative system, simply because they got the off-domain work in early.

The second is that the cost of GEO work falls quickly with practice. Most of the durable improvements come from things any competent team can do in-house once they know what to do. The expensive part is figuring out what to do, and the field has matured enough that the answer is no longer guesswork.

The third is the more interesting one. Done properly, GEO work makes the brand better, not just more visible. Source hygiene means the company describes itself accurately. Content depth means the company answers customer questions honestly. Authority means the company has earned the right to be recommended. These are the same things that build good businesses. The novelty is only that AI happens to reward them in a more direct way than classical search did.

Common questions

Is GEO different from AEO in practice? For most teams, no. The terms are usually interchangeable. Where a distinction is drawn, GEO is the broader frame and AEO the narrower one focused on visible citations.

Can a small business do GEO without a tool? Yes, slowly. The discipline scales poorly without measurement, and the open-source measurement tools are early. A modest paid tool tends to pay for itself in saved time fairly quickly.

Is there any GEO work that is genuinely a waste of time? Yes. Hidden text aimed at manipulating AI systems, fabricated reviews, paid mentions on dubious sites, and almost anything that involves the word "trick" or "hack". Generative systems have learned to discount these signals, and a clear pattern of attempted manipulation can lead to a brand being treated less favourably overall.

What is the single most underrated GEO action? Fixing the brand's Wikipedia entry, where one exists, and getting it written if one does not. The impact on representation across most engines is larger than its reputation suggests.