What is GEO, and why does it matter for your startup?

GEO stands for generative engine optimisation. It is the practice of creating content and a digital presence that is designed to be cited and referenced by AI-powered search systems like ChatGPT, Perplexity, and Google's AI Overviews, rather than just ranked in traditional search results.

For founders who built their organic acquisition strategy around SEO, GEO represents a significant shift in how discovery works online and what it requires to be visible.

Traditional search engines return a list of links. Users click through to find the answer they need. The goal of SEO is to rank highly in that list.

AI search engines synthesise an answer from multiple sources and present it directly, often without the user needing to click through to any website. The goal of GEO is to be the source that the AI cites when it synthesises that answer.

This is a meaningful difference. A startup that ranks on page one of Google still gets clicks. A startup whose content is the source an AI uses to answer a question gets mentioned in the answer, which is a different kind of visibility with different implications for how you measure and optimise for it.

AI systems tend to cite content that is clear, specific, and directly answers a defined question. Content that hedges, uses generic language, or requires the reader to do significant interpretation to extract the answer is less likely to be used.

They also tend to favour sources that are referenced by other credible sources, a principle similar to traditional link-based authority but applied differently. Being mentioned, cited, and linked to by other credible publications, tools, and platforms increases the probability of being used as a source.

The most direct GEO implication is content strategy. Content written to rank in traditional search, often optimised for keyword density and length, is not always the content that gets cited by AI systems. Content that directly, clearly, and specifically answers a defined question tends to perform better in AI search.

The blog posts, guides, and explanations that most clearly answer the questions your customers are typing into AI tools are the ones most likely to be cited. The question to ask for each piece of content is: if someone asked an AI tool the question this content answers, would our answer be the clearest, most specific, and most directly useful one available?