Generative Engine Optimisation is the practice of structuring your content so that AI-powered search engines, chatbots, and answer engines reference and cite your brand when generating responses. Traditional SEO focuses on ranking in a list of blue links. GEO focuses on being the source an AI pulls from when it synthesises an answer. The two disciplines overlap significantly, but GEO requires additional attention to how machines parse, attribute, and surface information.
AI-generated answers are replacing a growing share of traditional search clicks. When someone asks ChatGPT, Perplexity, or Google's AI Overview a question and your competitor's content is cited but yours is not, you have lost visibility you cannot buy back with ads. Businesses that ignore GEO will find their organic traffic eroding without understanding why, because the queries are still happening. The answers are just being assembled differently.
GEO builds on strong technical SEO foundations but adds layers specific to how large language models retrieve information. That means clear, well-structured content with explicit claims, cited data, and unambiguous entity definitions. Schema markup matters more, not less. Content needs to answer specific questions directly rather than burying the answer three paragraphs into a blog post. Authority signals, including consistent brand mentions, expert authorship, and trustworthy backlinks, influence whether an AI model treats your content as a reliable source worth citing.
The biggest mistake is treating GEO as a completely separate discipline from SEO. Most of what makes content AI-citable is the same thing that makes it rank well in traditional search: clarity, authority, and relevance. The second mistake is assuming you cannot influence AI outputs at all. You can, but it requires understanding how retrieval-augmented generation works and where your content sits in the training and retrieval pipeline. Agencies that dismiss GEO as hype are the same ones that dismissed SEO in 2005.
Straight answers on what GEO means for your visibility and what to do about it now.
No. GEO is an extension of SEO, not a replacement. The fundamentals of good content, technical health, and authority still apply. What is changing is the output format: instead of just ranking in a list, your content also needs to be citable in AI-generated answers. Think of GEO as an additional return on the SEO investment you are already making.
Tools are still catching up, but you can start by manually querying AI platforms like Perplexity and Google AI Overviews with terms relevant to your business and checking whether your brand appears in citations. Some SEO platforms are beginning to add AI citation tracking. At a minimum, monitor your organic traffic for declines that do not correlate with ranking drops, as that gap often signals AI-intermediated traffic loss.
Content that makes clear, specific, and well-sourced claims. AI models favour content where the answer is explicit rather than implied. First-party data, original research, named expert opinions, and structured definitions tend to get cited more frequently than generic blog posts that restate commonly available information.
GEO is integrated into our SEO and content strategy work from the start. We audit how your brand currently appears in AI-generated responses, identify gaps, and restructure content to improve citability. This sits alongside traditional ranking work, not instead of it. Our goal is to make sure your team understands both disciplines well enough to maintain them independently after we step back.
Not at the expense of human readers. Content written purely for machines tends to be dry and unusable for the people who actually land on your site. The best approach is to write for humans first, then apply structural and schema-level enhancements that make it easier for AI systems to parse and cite. Good GEO should be invisible to the reader.
