Generative engine optimisation (GEO) is the process of optimising your content and online presence so that AI systems — ChatGPT, Perplexity, Google Gemini, and others — can understand, trust, and include your business in the answers they generate. It is the same discipline as answer engine optimisation (AEO) — different name, identical strategy.

If you have seen the terms GEO, AEO, and AI SEO used interchangeably and wondered what the difference is — or which one you should care about — this article explains it clearly.

What is generative engine optimisation?

Generative engine optimisation is a set of practices that make your website and online presence easier for generative AI systems to read, verify, and cite. When someone asks ChatGPT or Perplexity a question, those systems generate an answer by drawing on sources they consider trustworthy and relevant. GEO is about becoming one of those sources.

The four core components are:

Structured data — schema markup that tells AI systems exactly what your content is about
Direct-answer content — writing structured so AI can extract clear answers to specific questions
Entity clarity — being consistently and verifiably defined across the web
Authority signals — citations, backlinks, and mentions that confirm you are a credible source

GEO vs AEO vs SEO — what is the difference?

Three terms are commonly used in this space. Here is what each one means and how they relate to each other.

SEO (Search Engine Optimisation)

The original discipline. SEO optimises your website so it ranks highly in Google's list of search results. It focuses on keywords, backlinks, technical health, and page experience. The goal is to appear when someone searches and sees a list of blue links.

AEO (Answer Engine Optimisation)

A newer discipline. AEO optimises your content and online presence for AI answer engines — so that when someone asks ChatGPT or Perplexity a question, your business is cited in the answer. We have written a full plain English guide to what AEO is if you want to go deeper.

GEO (Generative Engine Optimisation)

The same discipline as AEO, using different terminology. GEO refers specifically to optimising for generative AI systems — the AI tools that generate responses from scratch rather than returning a list of links. In practice, GEO and AEO describe exactly the same work: schema markup, entity clarity, direct-answer content, and authority signals.

The key distinction is between SEO and the other two. SEO is about ranking in a list. GEO and AEO are about being cited in an AI-generated answer. You can rank number one on Google and still be completely invisible in AI search — the signals are different.

Why are there so many different terms?

The short answer: the discipline is new, and different organisations named it independently.

GEO was popularised in part by academic research — notably a 2023 paper from Princeton and Georgia Tech researchers examining how to optimise for generative AI responses. AEO emerged from the broader SEO community as a term that emphasised the shift from search engines to answer engines. AI SEO is used more loosely to cover any AI-related optimisation work.

None of them is wrong. They are all describing the same emerging challenge: as AI systems become a primary way that people find information, businesses need a strategy for appearing in those AI-generated answers — not just in the traditional search results.

Which term should you use?

For most UK businesses, the terminology does not matter. What matters is whether you are doing the work.

If you are talking to a UK marketing agency or searching for help online, AEO and answer engine optimisation are currently the most common terms in the UK market. GEO tends to appear more in academic and US-based marketing literature. Either will get you to the right place.

Does GEO actually matter for your business?

Yes — if your customers use AI tools to research or find businesses like yours. The question is not whether AI search is happening. It clearly is. The question is whether your business is positioned to be cited in those AI answers or not.

A simple test: open ChatGPT or Perplexity and ask the questions your ideal customer would ask. If your business does not appear, you have a gap. The businesses that appear in those answers are not there by accident — they have built the content structure, entity signals, and authority that AI systems look for.

We have written a step-by-step guide to how to get your business to show up in ChatGPT, Perplexity and Google AI if you want the practical detail.

GEO and AEO at Tyneside Marketing

Whether you call it GEO, AEO, or AI SEO, we build it into every SEO retainer as standard — not as an add-on. Structured data, entity signals, direct-answer content architecture, and monthly citation tracking across ChatGPT, Perplexity, and Google AI Overviews. Read more about our answer engine optimisation service to understand the full approach.

Or if you want to understand where your business currently stands in AI search, get a free audit. We will check your current AI visibility, identify the gaps, and show you exactly what it would take to start appearing in AI answers.

Common questions

Is GEO different from AEO in practice?

No. The practical work is identical: structured data, answer-first content, entity consistency, authority signals, and citation tracking. The labels come from different research and marketing communities converging on the same problem from different angles.

Which term should I use in my own strategy documents?

Use whichever term your team and stakeholders already use. In the UK, AEO is the more common label. In academic and technical writing, GEO is more common. Both describe the same discipline, so internal consistency matters more than picking the "correct" term.

Who coined the term GEO?

The term generative engine optimisation was popularised by the 2023 paper "GEO: Generative Engine Optimization" by Aggarwal et al, from researchers associated with Princeton University and Georgia Tech. The paper is available on arXiv and remains the most-cited source on which tactics actually improve visibility in generative AI systems.

Does GEO require a separate budget from SEO?

No. GEO, AEO and SEO share the same foundations. The incremental work to layer AI optimisation on top of a good SEO programme is modest. Treat it as one integrated retainer rather than three competing workstreams.

Editor's note (April 2026): One terminology development worth knowing: in 2026, AEO has also started to be used by some technical sources as shorthand for Agent Experience Optimisation, a separate infrastructure discipline. We cover the distinction in Agent Experience Optimisation vs Answer Engine Optimisation.

What Is Generative Engine Optimisation (GEO)?

What is generative engine optimisation?