What is generative engine optimization?

Generative Engine Optimization (GEO) is optimizing your content and brand presence so that generative AI systems accurately understand, represent and recommend you when they answer users. It's the AI-era complement to SEO, focused on the story the model tells rather than a ranked link.

What's the difference between SEO, AEO and GEO?

SEO earns your position on the traditional results page. AEO (Answer Engine Optimization) structures content so answer engines can extract and cite it. GEO (Generative Engine Optimization) shapes how generative AI represents and recommends your brand across its answers. They overlap and are strongest done together.

How do you do GEO in practice?

Publish clear, factual, well-structured content; add rich schema and an llms.txt; build consistent, accurate brand information across the sources AI trusts; and monitor how AI describes and recommends you, correcting gaps and inaccuracies over time.

Generative Engine Optimization (GEO): A 2026 Guide

Published July 1, 2026

Search is no longer just a list of links. Increasingly, an AI system reads the web for your customer and hands them a synthesised answer, often with a recommendation. Generative Engine Optimization (GEO) is the discipline of making sure that answer represents your brand accurately and favourably.

SEO, AEO and GEO: how they fit

SEO earns your position on the classic results page.
AEO (Answer Engine Optimization) earns your citation inside an AI’s answer.
GEO (Generative Engine Optimization) shapes the narrative: how the model understands, describes and recommends you across its responses.

They’re layers of the same effort, not competing tactics. A strong content and data foundation serves all three.

Why GEO matters

When someone asks an AI “who’s the best company for X?” or “what should I use for Y?”, the model’s answer increasingly influences the decision. If it doesn’t know your brand, misrepresents it, or recommends a competitor, that’s lost business you never see. GEO is how you influence that answer.

A practical GEO framework

Clarity and facts. Write content a model can quote confidently: direct answers, precise definitions, honest comparisons.
Structured data. Schema (Organization, Service, FAQPage, Article) and an llms.txt help models understand exactly who you are and what you offer.
Consistent brand information. Make sure your description, offerings and key facts are accurate and consistent everywhere AI might read them.
Authority and citations. Coverage and references on trusted sources strengthen how models weigh your brand.
Monitoring. Regularly ask AI systems about your category and brand, and correct gaps, omissions or inaccuracies.

The opportunity

GEO today looks like SEO did in its early years: high-leverage, under-contested, and compounding. The brands that establish themselves as clear, trustworthy entities now will be the ones AI reaches for later.

We help clients build this foundation as part of our AI SEO service. If you’d like to see how AI currently represents your brand, get in touch and we’ll review it with you.