GEO agency in Manchester

What GEO actually means

Generative Engine Optimisation targets the generated answer rather than the ranked list. A search engine decides which ten pages to show you. A generative engine decides which one or two businesses to mention, then writes a sentence about each. Those are different problems. Ranking rewards relevance and links. Being named rewards clarity, consistency and verifiable trust — because a model that is unsure about you tends to leave you out rather than risk being wrong. That single behaviour explains most of what we do. We are usually not fighting a competitor for a slot. We are removing the reasons an assistant has to hesitate.

Why North West firms keep getting left out

Nearly every small business we test has the same fault, and it is rarely the website itself. The homepage describes the company one way, the Google Business Profile another, an old directory listing a third. A trading name sits alongside a limited company name with no connection stated between them. A human reads past all of that without noticing. A model treats it as unreliable evidence and reaches for a competitor whose story holds together. Fixing contradiction is unglamorous work, it photographs badly in a pitch deck, and it is usually the highest-value thing we do in the first month.

GEO, AEO and AI SEO — the same family

You will see three labels for overlapping work. GEO aims at generative answers — the paragraph an assistant writes. AEO, or Answer Engine Optimisation, aims at direct answers and featured snippets, and predates the current generation of assistants. AI SEO is the broad umbrella people use for both alongside traditional search. The labels matter less than the outcome: whether an assistant can identify you, trust you, and quote you correctly. We use GEO because it is the most precise of the three for what we actually do, but we are not precious about the vocabulary.

Manchester-born, North West wide

We are based in Manchester and most of our work is here, but the region does not stop at the M60. We work with firms across Greater Manchester, Lancashire, Cheshire and Merseyside — Bolton, Stockport, Salford, Oldham, Rochdale, Bury, Wigan, Trafford, Tameside, Warrington, Preston, Blackburn, Chester and out to Liverpool — and deliver nationally where it makes sense. Location matters for GEO because assistants weigh it heavily when somebody asks for a business near them, and because the local sources that corroborate you differ from town to town.

The six platforms, and why they behave differently

We test ChatGPT, Claude, Gemini, Perplexity, Copilot and Google’s AI Overviews. They are not interchangeable. Some lean heavily on live web retrieval and will cite their sources, which makes them the easiest to diagnose — you can see exactly which page persuaded them. Others answer more from what the model already holds, which makes them slower to reflect a change you have just made. A few weigh Google’s own local data more heavily than the rest. A business can be strong on one and invisible on another, and the fix for each is different, so we report per platform rather than averaging it all into one comforting number.

Entity clarity: the single biggest lever

An entity, in this context, is the machine-readable idea of your business — a name, a location, a category, a set of services, and a set of sources that agree on all of it. When those agree, an assistant can commit. When they disagree, it hedges or omits. Entity work means choosing one canonical description and then making the whole public record match it: your website, your structured data, your Google Business Profile, Companies House if you are a limited company, the directories you appear in, your social profiles, and any listing you have forgotten about. It is tedious. It is also the work that moves answers fastest.

Structured data, in plain terms

Structured data is a block of information on your page written for machines rather than readers. It states plainly what a human would have to infer: this is an organisation, this is its name, this is where it operates, these are its services, this is how to contact it. Without it, a system has to guess from your prose, and guessing is exactly what makes an assistant cautious. We use Organization or LocalBusiness markup, Service markup where a page describes one, and FAQPage markup where a page genuinely answers questions. The rule we hold to is that the markup must always match what a visitor can see. Markup describing a page that does not exist is a liability, not a shortcut.

Writing pages an assistant can quote

Assistants lift short, self-contained passages. A page that buries its answer in the fourth paragraph, behind a story about our journey, gives them nothing clean to take. We restructure pages so each one answers a real question in its opening lines, then supports that answer underneath. We put a direct question as a heading and the direct answer immediately below it. We keep sentences short enough to survive being extracted on their own. None of this makes the page worse for a human — it is the same discipline good editors have always applied.

Off-site corroboration: what actually counts

A model is more willing to recommend a business that several independent sources describe consistently. In practice that means an accurate, active Google Business Profile; reviews that exist and are responded to; membership or accreditation listings that are genuinely yours; local press or trade coverage where you have it; and directory entries that match your canonical details rather than a decade-old version of them. It does not mean buying links, and it does not mean spraying your name across low-quality listing sites — that pattern is well understood by the systems reading it, and it does not help.

What we will not promise

We cannot guarantee an assistant will recommend you, and neither can anyone else. These systems are not deterministic, their behaviour changes without notice, and none of them publishes a ranking algorithm you could optimise against. What we can do is remove the reasons you are being excluded, build the signals that make inclusion likely, and show you the assistants’ own answers before and after so you can judge for yourself whether it worked. If an answer has not moved, we say so and tell you what we think is holding it.

How an engagement usually runs

Week one is testing and diagnosis — we run the prompts, record the answers, and audit the signals behind them. Weeks two to four are the corrections that tend to move things quickly: crawler access, entity consistency, structured data, and the handful of pages that most need restructuring. From there the work becomes slower and more compounding — content, corroboration, reviews, and the local footprint. We re-test on a fixed schedule so the picture stays honest rather than becoming a story we tell ourselves.

Who this suits, and who it does not

GEO suits businesses where a recommendation carries weight and the customer is choosing between a small number of firms — professional services, trades, clinics, specialist suppliers, B2B. It suits businesses with something genuinely specific to say. It suits owners who will act on findings. It is a poor fit if you need enquiries this fortnight, if your website cannot be changed, or if the honest description of your business is that you do the same thing as everyone else at the same price. We would rather tell you that at the first conversation than three months in.