GEO, short for Generative Engine Optimization, is the practice of optimising how a business appears, or fails to appear, in answers generated by AI systems like ChatGPT, Perplexity and Google's AI Overviews. It's the natural counterpart to SEO for a search landscape that increasingly answers questions directly rather than just listing links to click through. The shift is significant enough that ignoring it entirely, on the assumption that traditional search will remain dominant indefinitely, is itself a real strategic risk for any business that depends on being found online. Treating GEO as optional homework for later is itself a decision, not a neutral default.
Why this is becoming relevant now rather than five years ago
AI-generated answers have moved from a novelty to a default behaviour for a meaningful share of searches, particularly research-heavy and comparison-driven queries, the exact kind of query that often precedes a B2B purchase decision. As more of that research happens inside an AI conversation rather than a traditional search results page, being absent from those answers means being absent from an increasing share of how potential customers actually form their first impression.
What GEO is not
It's not a replacement for SEO, the two share most of their underlying fundamentals. It's not a guaranteed, fully mapped-out discipline the way SEO has become over two decades, the field is genuinely still forming and best practices are still being worked out in real time. And it's not primarily a technical trick, the businesses showing up in AI answers are mostly the ones with genuine authority and clearly structured information, not the ones that found some clever workaround.
Why the terminology itself is still settling
GEO, AEO (Answer Engine Optimization) and AI SEO all get used somewhat interchangeably right now, describing broadly the same underlying goal with slightly different framing, and none of them has clearly won out as the industry standard term yet. The lack of a single settled term is itself a sign of how early this field is, and it's worth not getting too attached to any one label since the practical work underneath it matters far more than which acronym eventually wins out, whatever it ends up being called a few years from now.
The core levers, briefly
- Entity clarity: being unambiguous about who you are and what you do, through structured data and consistent information across the web
- Content structured as direct, specific answers to specific questions, which maps closely to how these systems actually generate responses
- Genuine authority and E-E-A-T signals, expertise, original insight, real experience with the subject rather than generic overview content
- Being cited and mentioned by the kinds of sources these models tend to trust: press coverage, industry publications, and established reference sites
A reasonable first step, not an overwhelming one
Search a handful of realistic questions a potential customer might ask, without mentioning the business by name, in ChatGPT and Perplexity, and note whether the business shows up and how accurately it's described if it does. Write down the exact wording used for each query, so the same check can be repeated consistently a month later to see whether anything has changed. That single exercise, taking under an hour, gives a clearer, more grounded starting point than trying to absorb the entire, still-forming GEO field before doing anything at all. Most businesses that eventually invest seriously in GEO started with exactly this kind of small, informal check rather than a formal strategy document, and it costs nothing but a bit of time to run today.