The Shift from Links to Answers
For two decades, search meant typing a query and choosing from a ranked list of links. That model still drives most web traffic, but a growing share of research now happens inside AI answer engines such as ChatGPT, Gemini, Perplexity, and Google AI Overviews. Instead of ten links, the user gets a written answer, often with a handful of cited sources.
This changes what visibility means. Ranking on page one is still valuable, but being named or cited inside the answer is becoming just as important, especially for considered B2B purchases where buyers ask an assistant to shortlist vendors or explain their options.
What Is SEO?
Search engine optimisation is the practice of making a website easy for search engines to crawl, understand, and rank for relevant queries. It covers technical foundations such as crawlability, indexation, page speed, and structured data; on-page work such as titles, headings, and content that matches search intent; and off-page signals such as links and mentions from other reputable sites.
Good SEO serves people first. Pages that answer a query clearly, load quickly, and are well organised tend to rank because they satisfy users, and search engines are built to reward that.
What Is GEO?
Generative engine optimisation is the practice of improving how a brand and its information are understood, retrieved, and cited by AI-powered search and answer platforms. Where SEO asks whether your page ranks, GEO asks whether an AI system can find your content, trust it, and quote it accurately when it composes an answer.
GEO is still a young discipline, and nobody outside the AI companies knows exactly how each system selects sources. What is clear is that the systems favour content they can access easily, understand without ambiguity, and verify against other sources.
How Answer Engines Select Sources
Most AI answer engines use a retrieval step: they search an index for relevant pages, read the most promising ones, and then write an answer grounded in what they found. Pages that are fast, crawlable, and clearly structured are easier to retrieve. Passages that answer one question completely in a few sentences are easier to quote.
Consistency matters too. If your company name, services, and key facts are described the same way on your website, in your structured data, and on third-party profiles, an AI system can be more confident about who you are and what you do.
The Core Pillars of GEO
First, accessibility: many AI crawlers do not execute JavaScript, so your content must be present in the HTML the server sends. A site that renders everything in the browser can look empty to them. Second, clarity: use headings that state the question and paragraphs that answer it directly, and define terms instead of assuming knowledge.
Third, entity signals: publish accurate Organization and Service structured data, and keep profiles such as LinkedIn and business directories consistent. Fourth, evidence: specific facts, examples, and case studies give AI systems something concrete to cite, and give human readers a reason to trust you.
Measuring GEO
Traditional SEO has mature measurement through Search Console and rank trackers. GEO measurement is more manual. A practical approach is to build a list of the questions your buyers ask, run them regularly across the main AI platforms, and record whether your brand is mentioned or cited and how accurately it is described.
Track this alongside referral traffic from AI platforms in your analytics. Over time, the trend matters more than any single result, because AI answers vary from one query to the next.
Unifying SEO and GEO
GEO is not a replacement for SEO; it is an extension of it. A technically sound, fast, well-structured website remains the foundation for both. The same work that helps Google understand a page, such as server-rendered content, clean URLs, structured data, and clear answers, also helps AI systems.
The practical difference is emphasis. GEO puts more weight on self-contained answers, entity consistency across the web, and being present on the sources AI systems trust. Businesses that invest in both are best placed to be found, whether their next customer searches on Google or asks an assistant.