What is GEO and AEO? How to optimise your website for AI search.

AI search is no longer a future trend; it’s already reshaping how people discover information online.  

While strong online visibility still begins with good SEO, businesses must now focus on AI search optimisation to ensure their websites and content are selected, summarised and cited by AI platforms. 

Decoding the language of AI search 

As AI search evolves, so does the language around it. Optimising a website for increased AI visibility and citations are being described by a growing list of acronyms.

Here are the key terms: 

Generative Engine Optimisation (GEO) focuses on making content authoritative and comprehensive enough to be cited within AI-generated responses. When platforms like ChatGPT, Gemini or Perplexity assemble answers, they often reference trusted sources. GEO is about increasing the likelihood that your website becomes one of those sources. 

Answer Engine Optimisation (AEO) focuses on structuring information so it can be extracted as a direct answer. This approach has roots in featured snippets and voice search, but its importance has grown as AI platforms prioritise concise, clearly structured explanations when generating responses. 

AI Optimisation (AIO) is often used as a broader umbrella term for improving how content performs within AI-driven search and answer systems. In practice, AIO encompasses techniques such as GEO and AEO that improve a website’s overall AI search visibility. 

Large Language Model Optimisation (LLMO) focuses on ensuring that AI models recognise and understand a brand’s expertise. This involves clearly defining entities such as the organisation, its services, its authors and its subject matter authority. The clearer these signals are, the easier it is for AI systems to identify a credible source. 

Generative Search Optimisation (GSO) is another term sometimes used to describe optimisation within AI-driven search environments. In many cases it is used interchangeably with GEO or as a broader label that includes both GEO and AEO practices. 

How do AI engines decide what they trust? 

AI search engines do not generate answers in isolation. They retrieve information from the open web, evaluate credibility signals and generate responses from multiple sources. 

LLMs analyse patterns across vast amounts of content to determine which information appears reliable. Websites with clear structure, consistent messaging and strong authority signals are more likely to be interpreted as credible sources. 

There are several factors that influence this process: 

Authoritative domains 

Websites that demonstrate subject expertise through in-depth content, industry recognition and consistent topical focus are more likely to be referenced. 

Clear entity definitions 

When a website consistently explains who it is, what it does and what expertise it holds, AI systems can more confidently associate that brand with specific topics. 

Content structure  

Pages that organise information logically, explain concepts clearly and connect related topics through internal links are easier for both search engines and AI models to interpret. 

Technical SEO 

If a site is difficult to crawl, poorly structured or slow to load, the content becomes harder to retrieve and analyse. In other words, strong technical SEO still underpins AI search visibility. 

How GEO and AEO prepare your website for AI search visibility 

Improving AI search visibility is about ensuring your website is structured in a way that AI systems can understand and trust. 

The starting point is always technical clarity. Search engines and AI systems alike depend on crawlable architecture, logical navigation and strong site performance. Without those foundations, even the most insightful content may struggle to surface. 

Equally important is entity clarity. Brands should clearly define who they are, what services they offer and what expertise they hold. Consistency across service pages, articles and author profiles helps reinforce these signals. 

Content structure also plays a critical role. AI systems favour information that is clearly organised and easy to interpret. Articles that use descriptive headings, explain concepts directly and answer common questions naturally lend themselves to extraction and summarisation. 

Authority signals strengthen this further. Case studies, original insights, industry recognition and well-developed topic clusters demonstrate expertise and credibility. These signals increase the likelihood that generative engines will reference the content as part of a broader response. 

Finally, websites benefit from building connected ecosystems of information. Linking related topics together helps search engines and AI models understand the depth of expertise within a particular area. 

When these elements align, a website becomes far more likely to appear within AI-generated answers. 

Why most businesses will get this wrong 

As with every shift in search, a wave of shortcuts is already emerging. 

Some businesses assume AI search optimisation simply means generating large volumes of AI-written content. Others add superficial FAQ sections in the hope that answers will be picked up by generative engines. 

But visibility in AI search environments is rarely achieved through surface-level changes. 

Generative systems favour clarity, credibility and consistency. Websites that demonstrate structured expertise across a topic area stand a far better chance of being referenced than those producing isolated pieces of content. 

In many ways, AI search is exposing weaknesses that have always existed in digital strategies. Brands that lack clear positioning, coherent site architecture or authoritative content will struggle to appear in AI-generated answers just as they struggled in traditional search rankings. 

The difference now is that the gap between strong and weak websites is becoming even more visible.

Visibility is being redefined 

Search once focused almost entirely on rankings. Today, visibility is being measured in new ways. 

SEO ensures your website can be discovered and indexed.
GEO strengthens the authority that makes your content worth citing.
AEO increases the likelihood that your content becomes the answer itself. 

Together, they form the foundation of modern AI search optimisation.