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Generative engine optimisation agency

A generative engine does not hand out rankings. It assembles an answer from a handful of sources and names some of them. GEO is the work of being one of those sources. We are a UK team doing it hands-on: source quality, passage structure, entity corroboration and retrieval readiness, measured against what the models actually output.

Free estimateNo obligation

See which sources the models use instead of you

Give us your site and the questions your buyers ask. We will run them through the generative engines and show you who gets cited, and why it is not you.

Takes under a minute. We never share your details.

  • Free consultation
  • No commitment
  • NDA on request

Prefer to talk? Book a free 30-minute call →

  • UK-registered company, Companies House 16718403
  • Done for you, with written reporting each month
  • Covers ChatGPT, AI Overviews, Perplexity, Gemini and Copilot
1,000+
Clients served
2020
Building since
4.6
Rated on Clutch

2020

Building since

1,000+

Clients served

UK

Registered company

4.6/5

Rated on Clutch

Quick answer

What is generative engine optimisation?

Generative engine optimisation, or GEO, is the practice of making a website one of the sources a generative answer engine draws on when it composes a reply. Where classic SEO competes for a position in a list, GEO competes for inclusion in an answer that may never show a list at all. The deliverable is a citation and a mention, not a rank.

It matters because the shortlist has moved. A buyer asking ChatGPT, Perplexity or Google's AI Mode to compare options gets three or four named sources, and the rest of the web is simply absent from that moment. Being on page one is no longer the same thing as being in the running.

The mechanics are different from ranking too. Most generative answers are built by retrieval: the engine searches, fetches a small number of pages, and writes from passages inside them. That means the unit of optimisation is the passage, not the page. A page that answers in its first lines, in clean prose, with facts that can be checked elsewhere, is far easier to lift from than one that takes six paragraphs to get to the point.

The second mechanic is corroboration. Models weigh what independent sources say about you, not only what you say about yourself. If your own site and the rest of the web disagree about what you do, the engine resolves the conflict by using something it trusts more, which is usually a directory or a competitor. Fixing that disagreement is unglamorous and it is often where the biggest gain sits.

What we do

What GEO work involves

Eight workstreams. Which ones matter for you comes out of the audit, because the binding constraint differs a lot by site.

01

Passage-level restructuring

Rewriting pages so each section contains a self-contained, quotable answer. Engines lift passages, not pages, and a passage that depends on three paragraphs of build-up cannot be lifted without being rewritten, which is when your framing gets lost.

02

Entity corroboration

Making independent sources agree with your own claims about what you are and what you do. Where the web contradicts you, the engine trusts the web. This is the slowest part of GEO and usually the one that decides the outcome.

03

Retrieval readiness

Making sure what the engine fetches is what a reader sees: server-rendered content, no critical text locked behind scripts a crawler will not run, clean headings, and a page that still makes sense without its navigation.

04

AI crawler access

GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot and Google-Extended each behave differently. We check they are permitted, reaching the right pages, and not being served something different from a human visitor.

05

Structured data for machines

Schema that states plainly what a page is and what the organisation behind it does. Not markup for its own sake: the properties that help a model resolve an entity and attribute a claim to it correctly.

06

llms.txt and machine guidance

A plain-text summary at the root of the site that tells a model what the organisation is and points at the pages worth reading. It is a proposed convention rather than a standard, and we treat it as cheap insurance, not a ranking lever.

07

Content for the questions being asked

Generative engines surface questions that never had a keyword volume attached. We build the pages that answer them, which is often where the easiest share of answers is available.

08

Answer-share measurement

A fixed prompt set, re-run on a schedule across the engines, recording whether you are named, what is said and which URL is cited. Model answers vary between runs, so we report trends rather than single readings.

Why this matters

Four sources make the shortlist. The rest do not exist

A generative answer is a compression of the web into a paragraph. Everything outside that paragraph is invisible to the person reading it, however well it ranks.

What we usually find

  • The engine cites a directory, a marketplace or a trade title
  • Your best page is retrieved but never quoted from
  • The model describes you using a competitor's framing
  • Facts about you differ between your site and everywhere else
  • Nobody can say whether any of this is getting better or worse

What changes

  • Your pages contain passages an engine can lift unedited
  • Independent sources agree with your own claims
  • The content exists for the questions actually being asked
  • Retrieval can reach and parse what matters
  • A monthly figure for how often you are named

Want to see who the engines cite in your category?

The audit runs your buyers' questions through the generative engines and sends you the sources they use, with the reasons those sources win. It is free and the findings are yours.

LLM SEO

How large language models choose their sources

GEO and LLM SEO describe the same work from different angles. Six things worth understanding before anyone sells you either.

Training vs retrieval

Two different routes into an answer

A model either knows something from training or fetches it at question time. You cannot influence a finished training run, but retrieval happens live, every time, and that is where the work pays. Most assistants now retrieve for anything current or specific.

Optimise for retrieval; treat training as a slow bonus

Why passages win

The engine quotes, it does not summarise politely

Retrieval pulls a chunk of text. If the chunk contains a complete answer, it gets used close to verbatim and your framing survives. If it does not, the model paraphrases from several sources and your contribution dissolves.

Self-contained passages keep your words intact

Corroboration

What others say outweighs what you say

A claim repeated by independent sources is treated as more reliable than the same claim made once, on your own site. This is why directory listings and trade coverage often beat a better-written page.

Agreement across the web is the real authority signal

Freshness

Stale pages get quietly dropped

For anything that changes, engines prefer recent sources. Pages with no visible date, or with facts that contradict newer coverage, tend to fall out of answers even when they were once cited.

Maintained pages hold their place; abandoned ones do not

llms.txt

A convention, not a standard

A plain-text file at the site root describing the organisation and linking to key pages. Support is partial and unverified, so we add it because it is nearly free, not because it is a lever. Anyone presenting it as a ranking factor is overselling.

Cheap to add, honest about what it does

Variance

The same question gives different answers

Model outputs vary between runs, users and sessions. A single screenshot proves nothing in either direction. Measurement has to be a fixed prompt set run repeatedly, reported as a trend.

Trends are evidence; screenshots are anecdotes

How we work

Audit, strategy, implementation, monitoring

The first stage is free, and you keep what it finds whether or not we work together.

  1. 1. Audit

    We assemble the questions your buyers ask, run them across the generative engines, and record which sources get used and cited. Alongside that we check retrieval readiness, crawler access, entity consistency and passage structure on your own pages.

  2. 2. Strategy

    The audit normally isolates two or three causes. We set out what to do first, what it takes and what we expect it to shift. Where we think the return is poor for the effort, we say so before you spend anything.

  3. 3. Implementation

    We do the work: restructuring pages into quotable passages, correcting entity facts across your site and third-party sources, fixing retrieval and crawler problems, adding schema and llms.txt, and building the content for unanswered questions.

  4. 4. Monitoring

    The same prompts run on the same schedule, so before and after are comparable. You get a monthly written note: what we changed, what the engines now say, which citations appeared, and what has not moved.

Clear scope · Regular demos · Full handover

Honest fit

When GEO earns its place, and when it does not

This is a months-long discipline with no guaranteed placement. It suits some situations far better than others.

A good fit when…

  • Buyers in your category research before they commit
  • Your product or service is compared against alternatives
  • You can maintain pages rather than publish and abandon them
  • You want the work done for you by a team
  • You accept measurement as a trend, not a screenshot

Not the right fit when…

  • You need enquiries inside a fortnight
  • Nobody asks an assistant about your category yet
  • The site cannot be changed, or changes take months to approve
  • You are being promised guaranteed inclusion elsewhere and believe it

The terms, separated

GEO vs AEO vs SEO

Three labels that overlap and get used loosely. This is how we draw the lines, and which page covers which.

GEOAEOClassic SEO
What you winInclusion in a generated answerThe direct answer slotA position in a list of links
SurfaceChatGPT, Perplexity, AI Mode, GeminiFeatured snippets, People Also Ask, voiceStandard results pages
Unit of workThe passageThe question-and-answer pairThe page
Decided bySource quality and corroborationFormat and directnessRelevance, links, technical health
Reported asShare of answers naming youSnippets capturedPosition and clicks
Typical horizonWeeks for fixes, months for authorityWeeksMonths
Read moreThis pageAEO agency UKTechnical SEO agency

Who we are

A UK company doing the work in-house

SpiderHunts Technologies Ltd is registered at Companies House under number 16718403, with a London office and an engineering team in Lahore.

2020

Building since

1,000+

Clients served

4.6/5

Rated on Clutch

FiverrVerified review
Shahrukh was a pleasure to work with - responsive, polite and with a wonderful attention to detail.
swn_y_morUnited Kingdom
FiverrVerified review
Shahrukh did an excellent job creating a fully customized portal for my car auction business. Everything was delivered on time. I’m very satisfied and would highly recommend him for any custom web development project.
Michael JonUnited Kingdom
ClutchVerified review
I was impressed by their ability to deliver unparalleled quality at an extremely fast pace and for great value.
Angelos BougasManaging Director, Ocley Group

FAQ

Generative engine optimisation — FAQs

What buyers ask us about GEO, answered without the hype that surrounds the term.

Still have a question?

Ask us directly — a senior engineer will get back to you.

Ask about your project

What is generative engine optimisation?

It is the work of making your website one of the sources a generative answer engine uses and names when it composes a reply. The engines in scope are ChatGPT, Google AI Overviews and AI Mode, Perplexity, Gemini and Copilot. The outcome you are buying is inclusion and citation in answers, rather than a position in a list of links.

Is GEO the same as LLM SEO?

In practice yes. GEO describes the surface, a generative engine, and LLM SEO describes the system underneath, a large language model. Agencies use them interchangeably and so do we. Both refer to the same work: being retrievable, quotable and corroborated.

How is GEO different from AEO?

AEO is about owning the direct answer to a specific question, which includes long-standing surfaces like featured snippets and voice results. GEO is about being a source inside a longer generated answer that may synthesise several sites. They share techniques, particularly answer-first writing, but they are measured differently. We cover AEO on its own page.

Can you guarantee we will be cited?

No. The engine decides what it writes, answers vary between runs, and model updates change behaviour without notice. Any agency guaranteeing citation is selling something it does not control. What we commit to is the work and honest measurement of what the engines actually say over time.

Does llms.txt actually do anything?

It is a proposed convention, not an adopted standard, and support is unverified. We add it because it costs almost nothing and does no harm, not because it moves answers. If someone tells you llms.txt is a ranking factor, treat the rest of their advice with the same caution.

How long before anything changes?

Retrieval and structure fixes can show up within weeks, because they change what the engine finds when it fetches your pages. Corroboration, which is the part that decides contested categories, takes months. We will tell you which of the two dominates your situation after the audit.

How do you measure a generated answer?

With a fixed prompt set, re-run on a schedule across the engines, recording whether you are named, what is said and which URL is cited. Because outputs vary between runs, we report trends across repeated runs rather than individual screenshots. The variance is real and we do not hide it.

Do we need classic SEO as well?

Usually yes, and they share a foundation. Retrieval depends on the same technical health that ranking does, and generative engines still lean heavily on conventional search to find candidates. GEO is an addition to that work, not a replacement for it.

Is this a platform we subscribe to?

No. SpiderHunts is an agency. A team does the audit, writes and implements the changes and reports on them. There is nothing to log into and no per-seat licence.

Who do we actually contract with?

SpiderHunts Technologies Ltd, registered at Companies House under number 16718403, with an office at 182-184 High Street N, Office 14607, London E6 2JA. Invoicing is in pounds. The engineering team works from Lahore, which we say plainly rather than implying otherwise.

Start here

Find out which sources the engines use instead of you

Send us your site and the questions your buyers ask. We will run them across the generative engines, record which sources get cited and why, and send you the findings. It is free, there is no obligation, and if we think GEO is not where your gain is, we will say so.

  1. You tell us what you needTwo minutes on the form, or a message on WhatsApp.
  2. A senior engineer reviews itAnd comes back with questions, a realistic range and an honest view on fit.
  3. Free 30-minute scoping callWe talk through scope, options and a realistic estimate — with no obligation.
Free estimateNo obligation

Request your free AI visibility audit

Tell us a little about the project and we will come back with a realistic range.

Takes under a minute. We never share your details.

  • Free consultation
  • No commitment
  • NDA on request

Prefer to talk? Book a free 30-minute call →