Generative Engine Optimisation: A Hiring Guide for UK Businesses

Generative engine optimisation is the work of making your business easier to find, understand, cite, and recommend inside AI-shaped search experiences. For a UK business deciding whether to hire an SEO consultant or agency, the useful question is not "what is GEO?" but "who can make my website credible enough to be selected as a source?"

Josh Willett Consultancy Ltd is an independent SEO consultancy led by a former front-end developer with 8+ years of SEO experience and 50+ clients across the UK and Europe. This guide explains what generative engine optimisation changes, what still belongs to SEO, and how I'd assess whether a provider can do the work.

How Generative Engine Optimisation Changes The Hiring Decision

Generative engine optimisation means improving the evidence, structure, technical access, and entity clarity that help AI search systems select your business as a source or recommendation. It overlaps with SEO, but the buying decision is sharper: you need someone who can audit how your business is understood, not someone selling a renamed content package.

What Has Changed For Buyers

A business owner doesn't need a 40-slide explainer on artificial intelligence. You need to know whether your current SEO support can deal with a world where AI Overviews, AI Mode, ChatGPT Search, Gemini, Perplexity, and Copilot may answer the question before the user reaches your site.

How Google Frames The Work

Google has already folded the work into normal SEO buying.

Google's hiring an SEO guidance (developers.google.com) is explicit about the scope.

It lists "optimising for generative AI" alongside content development, keyword research, technical advice, SEO training, and market expertise. That means generative engine optimisation should be judged as part of a serious search strategy, not as a detached trend.

The Buyer's Version Of The Definition

Here's the working split I use when evaluating the service:

This is why I don't treat generative engine optimisation as a stand-alone magic trick. If the foundations are weak, the AI layer gives you a new reporting problem, not a new growth channel.

Why GEO Is Part Of SEO Rather Than A Replacement

Most people assume AI search has made SEO obsolete. The evidence says the opposite: AI features still depend on crawlable pages, reliable sources, visible text, structured information, and clear authority signals.

Google's own AI features guidance (developers.google.com) is just as clear.

Pages need to be indexed and eligible to appear with a snippet to show as supporting links in AI Overviews or AI Mode. It also says there are no extra technical requirements for those features. That makes generative engine optimisation a practical extension of SEO, not a separate channel with separate foundations.

What Still Has To Work First

If I audit a site for generative engine optimisation, I still start with the basics because the system can't cite what it can't access. The early checks are not glamorous, but they stop a lot of wasted work.

• Crawling should be allowed through robots.txt, server rules, and CDN settings.
• Important copy should be visible as text, not hidden in images, tabs, or JavaScript-only components.
• Indexable pages should return a 200 status code and have clean canonical signals.
• Structured data should match the visible page copy.
• Internal links should make key service, category, and proof pages easy to discover.

This is where front-end development experience matters. A content strategist may spot the missing answer, but a technical SEO has to know whether Googlebot and AI retrieval systems can see that answer in the first place.

Where GEO Differs Enough To Matter

GEO matters because the output is different: classic SEO aims to earn a visible organic result, while generative systems may summarise, compare, and cite sources inside the answer itself. That changes the job from "rank this page" to "make this business a reliable source for this decision."

The original academic paper on GEO research (arxiv.org) introduced a 10,000-query benchmark and tested methods such as adding citations, statistics, and authoritative quotations. That research shows why source-backed content beats thin opinion.

The practical difference is that AI systems often answer multi-part prompts. A buyer might ask, "Who should I hire for B2B SEO in the UK if I need technical implementation and no long-term contract?" That query blends service type, location, risk, proof, and buying preference.

The Four Differences I'd Test

A proper generative engine optimisation audit should test four things before recommending more content:

• Retrieval: The page should be findable for the prompt family, not just the exact keyword.
• Extraction: The system should be able to lift the key answer without losing context.
• Corroboration: External sources should support the claim the site makes.
• Conversion: The visit, mention, or assisted journey should turn into a qualified enquiry.

That's why a HubSpot-style overview can help someone learn the term, but it won't tell a managing director whether an agency has done the technical and commercial work needed for their site.

First Audit Priorities For A GEO Consultant Or Agency

A credible generative engine optimisation service starts with evidence, not a promise to "get you into ChatGPT". I'd expect the first audit to cover technical access, entity clarity, source quality, commercial pages, and how the business appears across AI-assisted journeys.

The audit should not only run prompts. Prompt testing is useful, but prompts vary, answers change, and different AI platforms use different retrieval and ranking methods. Testing output without auditing the underlying assets is like checking a dashboard warning light without opening the bonnet.

My First-Pass Audit Framework

For a UK-wide remote consultancy project, I'd normally check these areas in order:

This is also where consultant versus agency choice matters. If your site has crawl, rendering, schema, and content architecture issues, you need technical depth as well as editorial judgement. That's a core part of my SEO consultancy work because the commercial recommendation and the technical diagnosis have to connect.

How Should You Judge A Provider's GEO Advice?

If a provider says GEO needs a separate playbook with no connection to SEO, be careful. If they say nothing has changed, be careful as well.

The better answer sits in the middle. Google says the foundations carry across, while AI search behaviour creates new measurement and content selection problems. A useful provider can explain both without selling fear.

Questions To Ask Before You Hire

Ask the same questions you'd ask for SEO, then add GEO-specific tests. You're trying to find out whether the person has a process or just a vocabulary.

• You should ask how they'll check whether your key facts are visible in rendered HTML.
• You should ask which prompts they'll test and how they'll group them by buyer intent.
• You should ask how they'll separate AI citations from standard organic traffic in reporting.
• You should ask what evidence is needed before claiming a result or comparison.
• You should ask which pages should be updated before creating anything new.
• You should ask how they'll decide whether a mention is useful or just noise.

How I Use The Answers

When I work on generative engine optimisation, I usually start by mapping the buyer questions back to service pages, proof pages, and technical blockers. That's slower than exporting a list of prompts from a tool, but it produces work a business can defend.

Monthly Work For Generative Engine Optimisation

Generative engine optimisation work should look like SEO work with a sharper evidence layer. The monthly rhythm is audit, fix, publish, test, and measure.

A typical month should include technical checks, content improvements, source strengthening, and visibility testing across Google and selected AI platforms. If your provider only writes new articles, they're ignoring the parts of the system that decide whether those articles can be trusted.

A Practical Monthly Workflow

Here's a realistic sequence for a business that already has a live site and wants better AI visibility:

• Week 1: The provider audits indexability, rendered text, key service pages, structured data, and Search Console query patterns.
• Week 2: The provider rewrites priority pages so answers, proof, pricing context, and service details are explicit.
• Week 3: The provider strengthens corroboration through case studies, author details, third-party citations, and linkable proof assets.
• Week 4: The provider tests prompt groups, reviews AI referrals in GA4, checks enquiry quality, and updates the next month's priorities.

For this consultancy, that maps naturally to SEO audits, technical SEO, content SEO, link building, fractional Head of SEO support, and SEO training. The work is UK-wide and remote, so the delivery model doesn't depend on being in the same city.

Reporting That Doesn't Overclaim

The reporting has to stay honest because AI visibility is still messy. You can track referral traffic from known AI platforms, test prompt sets, review citations, and monitor whether enquiries mention AI search journeys, but you can't reduce the whole channel to one tidy ranking report.

That's why I'd use generative engine optimisation reporting as a decision tool, not a vanity dashboard. The point is to decide which pages, proof assets, technical fixes, and third-party signals deserve the next round of work.

When Is GEO Worth Paying For?

Generative engine optimisation is worth paying for when organic search is a meaningful acquisition channel and your buyers compare providers before contacting anyone. If your market depends on trust, proof, technical knowledge, or local service selection, AI answers can influence the shortlist before your analytics records a visit.

It's less urgent for a tiny site with no SEO foundations, no service clarity, and no measurement. In that case, the first budget should go into getting the site technically sound and commercially clear.

Good And Bad Use Cases

The right priority depends on how buyers make decisions and whether your site already has enough authority to be considered. Generative engine optimisation usually makes sense once the business has clear services, proof, crawlable pages, and some existing demand to build on.

My honest view: don't buy GEO as a bolt-on if your SEO provider hasn't fixed the basics. Buy it when the provider can show how AI visibility connects to technical access, decision content, authority, and commercial outcomes.

Expected Outputs From A GEO Project

A good generative engine optimisation project should leave you with assets, not just a report. You should end up with clearer pages, stronger proof, better technical access, and a measurement view that separates curiosity from demand.

The first output is usually a prioritised audit. A list of 200 issues is not useful. A plan that says which 12 changes affect service visibility, AI citation potential, and enquiry quality is useful.

Deliverables I'd Expect

A serious engagement should produce the following:

• The project should include a prompt map grouped by service, location, buyer stage, and objection.
• The project should include a technical access audit covering crawlability, rendering, indexability, and visible text.
• The project should include a content evidence plan for service pages, comparison pages, FAQs, and case studies.
• The project should include a citation and authority review covering third-party mentions, links, and brand consistency.
• The project should include a reporting view for Search Console, GA4, AI referrals, assisted conversions, and enquiry quality.

For my own consulting work, I'd rather show a smaller set of changes with a clear reason than pad a retainer with deliverables nobody uses. That standard matters more now because AI visibility is easy to package and hard to prove.

FAQs

Use these questions as a quick buyer checklist before commissioning generative engine optimisation work:

Is GEO Replacing SEO?

GEO is not replacing SEO. It's an extension of SEO for AI-shaped results, answer interfaces, and source citation. The same foundations still matter: crawlability, indexability, useful content, technical quality, links, and trust.

The difference is measurement, because visibility may appear as a citation or recommendation before a click.

How Does Generative Engine Optimisation Work?

Generative engine optimisation works by making a website easier for AI systems to retrieve, understand, verify, and cite. The work includes technical access, clear entity signals, direct answers, structured data, visible evidence, and corroboration from trusted sources. The aim is not only ranking, but inclusion in generated answers.

What Is Generative Engine Optimisation GEO?

Generative engine optimisation GEO is the US-spelled version of the same discipline. In UK content, generative engine optimisation is the more natural spelling, but the work is identical: make the business easier for AI search systems to find, verify, and cite. If a provider uses either phrase, the test is still whether they can connect technical access, proof, authority, and commercial measurement.

Is SEO Dead Or Evolving In 2026?

SEO is evolving in 2026. Google still uses crawlable pages, links, content quality, structured data, and user satisfaction signals, but search results now include AI answers, richer comparisons, and follow-up journeys. The job has shifted from chasing rankings alone to building discoverable, defensible information that earns clicks and citations.

How Do I Learn SEO As A Beginner?

Learn SEO by starting with crawlability, indexability, keyword intent, on-page structure, internal links, content quality, and measurement in Search Console. Then practise on one small site and track changes over 3 to 6 months. Tool tutorials help, but understanding how pages are found and evaluated matters more.

If you're deciding whether generative engine optimisation belongs in your SEO strategy, start with an audit of what AI search systems can read, verify, and cite from your site. The consultancy works with UK businesses remotely from London, with direct senior input and no long-term contracts. Request an audit before spending more on content.