Generative Engine Optimisation (GEO): A Guide

When someone asks an AI tool for a recommendation, it does not hand them a list to sift through; it writes an answer and names a handful of brands inside it. Generative engine optimisation is how you make sure yours is one of them, and that the model describes you accurately when it does.

What is generative engine optimisation?

Generative engine optimisation (GEO) is the practice of improving how often, and how favourably, your brand appears inside AI-generated answers from tools such as ChatGPT, Perplexity, Google's AI overviews and Copilot. It combines content, digital PR and technical structure to influence what a model retrieves, trusts and repeats.

The word "generative" is the key. These systems generate a fresh answer for each question by drawing on many sources at once, rather than pointing to a single ranked page. GEO therefore works at the level of your whole footprint on the web, not just one landing page. The question it answers is not "how do I rank?" but "when a model writes about my category, does it include me, and does it get me right?"

GEO is closely related to answer engine optimisation; the two are often used interchangeably, though GEO tends to describe the broader strategy across content and reputation, while AEO focuses on the on-page craft of being quotable.

How is GEO different from SEO and AEO?

SEO influences your ranking in a list of links; GEO influences whether you are included, and how you are framed, inside a generated answer; AEO is the on-page discipline of making individual passages easy to extract. GEO is the widest of the three because it depends heavily on what other sources say about you.

The important distinction is where the leverage sits. In SEO, you can move the needle largely on your own domain through content and technical work. In GEO, a meaningful share of the outcome is decided off your site. Models weigh what reputable third parties say, and they cross-check your claims against those sources before repeating them. You cannot fully control your position by optimising your own pages alone.

The differences in practice:

• SEO optimises a page; GEO optimises a reputation distributed across the web.
• SEO rewards keywords and links; GEO rewards consistent facts, third-party mentions and quotable evidence.
• AEO makes a passage extractable; GEO makes the surrounding brand trustworthy enough to be chosen.

Think of AEO as the craft and GEO as the strategy that surrounds it.

How do generative engines decide what to include?

Generative engines include sources they can retrieve, corroborate and attribute with confidence. They favour brands whose facts are consistent across many places, whose claims are backed by evidence, and whose authority on the topic is recognised beyond their own website.

Under the bonnet, most of these systems retrieve a set of candidate sources, then synthesise an answer from the passages they trust most. A brand mentioned once, on its own site, with claims that appear nowhere else, is easy to discount. A brand mentioned consistently across its site, respected publications, reference sources and community discussion looks like established fact, and established fact is what a model prefers to repeat.

The factors that raise your inclusion rate tend to be:

• Consistency of facts about your product, category and positioning across every source.
• Third-party mentions on sites the model already treats as credible.
• Original, quotable evidence such as data, definitions and named frameworks.
• Clean structure and markup so the relevant passage is easy to isolate.
• Genuine topical authority, built over time rather than manufactured quickly.

Earning that third-party credibility is largely a digital PR discipline, which is why GEO and PR now sit so close together.

How do you improve your GEO?

Improve GEO by publishing original citable evidence, earning mentions on trusted third-party sites, keeping your facts consistent everywhere, and structuring content for extraction. Consistency and credibility do more than any single on-page tactic.

Begin with your own house. Make sure the core facts about your business, the ones a model would need to describe you, are stated plainly and identically across your website, profiles and product pages. Contradictions are the fastest way to be dropped from an answer, because a model that cannot resolve which version is true will often use neither.

Then build outward:

• Create original assets. Proprietary data, surveys, definitions and frameworks give engines something only you can supply.
• Earn credible coverage. Mentions and links from respected publications raise your standing in the sources models draw from.
• Structure for extraction. Use question-led headings, direct answers and schema so passages lift cleanly.
• Keep it current. Refresh facts and figures so an engine is not repeating an outdated claim about you.

This is a content, PR and technical effort combined, which is where our content and thought leadership work is aimed.

How do you measure GEO performance?

Measure GEO by tracking how often you appear in AI answers for your priority questions, how accurately you are described, and what those visits do downstream. Because there is no single rankings dashboard, measurement blends direct monitoring with proxy signals.

Start by defining the questions that matter, the ones a prospect would genuinely ask an assistant, and check regularly how the major tools answer them. Record whether you are mentioned, how you are framed, and which competitors appear alongside you. This is qualitative work, but it is the truest measure of GEO because it reflects the actual output users see.

Complement that with quantifiable signals:

• Share of voice across a fixed set of tracked prompts, checked on a consistent cadence.
• Accuracy of representation, noting any incorrect or outdated claims to correct at source.
• Referral traffic from AI tools, where analytics can distinguish it.
• Growth in the third-party mentions and citations that feed the engines.

No single number captures GEO. The honest scorecard is a small basket of these signals, reviewed over time.

The takeaway

Generative engine optimisation is a reputation game as much as a content one. Make your facts consistent, back them with original evidence, earn credibility from trusted third parties, and structure everything for clean extraction. Then measure it by watching how the answer engines actually describe you, and refine from there.