What is Generative Engine Optimisation (GEO)? The complete UK guide

Generative Engine Optimisation (GEO) is the discipline of engineering a brand's machine-readable footprint so that generative AI systems reliably select, cite and recommend it inside their synthesised answers.

It is the new layer of digital marketing that sits adjacent to SEO and addresses the surface SEO was never designed to reach: the answer panel of ChatGPT, Gemini, Perplexity, Claude and Google's AI Overviews.

Why GEO exists now

For twenty-five years, digital discovery rested on the assumption that a buyer would scan a list of options and choose one. AI assistants collapse the list to a single synthesised paragraph. Whoever is named in the paragraph wins the contest. Whoever is not is invisible, and the loss is silent: the buyer never reaches the website, the analytics show nothing, and the leads simply do not arrive.

GEO is the discipline that determines who is named.

The four levers of GEO

Our research practice has reduced GEO to four engineerable dimensions. Together they produce a composite score; individually they are sequenced for maximum leverage.

• Interpretability: machine-readable entity definition, schema, structured data
• Coherence: consistency of signal across website, Google profile, directories, social, citations
• Authority: third-party corroboration AI weights far above first-party claims
• Intent alignment: content engineered for the actual questions buyers ask AI in your category

GEO vs SEO

SEO targets a list. GEO targets an answer.

• Decision-maker: SEO optimises for a human reading a SERP; GEO optimises for a model selecting from a corpus.
• Unit of value: SEO measures clicks; GEO measures recommendations.
• Signals: SEO weights backlinks, keywords and CTR; GEO weights entity clarity, coherence and third-party proof.
• Format: SEO produces persuasion pages; GEO produces machine-legible knowledge.
• Measurement: SEO measures rank position; GEO measures inclusion probability.

Most UK brands now need both, weighted to where their buyers actually research.

GEO vs AEO

Answer Engine Optimisation (AEO) and GEO describe the same emerging discipline using slightly different framing. AEO emphasises the answer surface; GEO emphasises the generative engines that produce it. We use AVO (AI Visibility Optimisation) as our umbrella term because it scopes the full work across every major AI system.

Who needs GEO

• B2B brands whose buyers research extensively before contact
• Professional services firms whose buyers ask AI for shortlists
• High-consideration consumer categories where AI now mediates discovery
• Any UK brand where competitors are increasingly being named in AI answers

How to start with GEO

• Run a baseline. Our free 60-second AI Recommendation Readiness Report returns your score across all four GEO dimensions.
• Sequence the work. Interpretability first, coherence second, authority third, intent alignment fourth.
• Re-measure at sixty days. Re-baseline against the original score and against your competitive named-set.
• Compound. From recoverable selection to durable category control.

GEO is not SEO done harder. It is a different discipline with a different decision-maker, different signals and different measurement. Treat it accordingly.