From "ten blue links" to one answer
For two decades, winning online meant ranking in a list of links a person then clicked. AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Gemini — collapse that list into a single synthesised answer that may cite a handful of sources and send no click at all. The destination is no longer your page; it is the answer itself. If your brand is not in that answer, you are invisible to the person asking.
GEO, defined
Generative Engine Optimisation (GEO) is the practice of making a website discoverable, citable, and transactable by AI-powered search and recommendation systems. It is the LLM-era counterpart to SEO. Where SEO optimised for a ranking algorithm that returned links, GEO optimises for a language model that reads, synthesises, and cites — or quietly omits — your content.
Why it matters now, not later
Most US searches now end without a click — the answer is the destination. As buyers increasingly ask an AI before they ever reach a search results page, the brands an AI knows and trusts win the consideration set before traditional SEO even applies. GEO is not a replacement for SEO; it is the layer that decides whether the AI sitting in front of your customer has ever heard of you.
What GEO is not
GEO is not a single trick or file you add. It is not "stuff keywords until the AI notices" (that actively backfires). And it is not the same as having good schema markup — structured data gets you eligible to be read, but it does not, by itself, make an AI cite you. The rest of this course unpacks what actually moves the needle, in order.