We are excited to announce that SearchPilot now supports GEO A/B testing, empowering you to move from guesswork to a data-driven strategy for AI search. While competitors are reacting and hoping for the best, you can be in control, building a playbook for what actually drives high-intent traffic and revenue in this new landscape. The battlefield is changing, and with GEO testing, you can stop trying to predict the future and start experimenting to discover it.
It's possible that ideas will be good for GEO but not SEO and vice versa
The rise of AI-powered search is fundamentally changing your most important revenue channel. As more customer research happens within AI models before anyone clicks to your site, the traditional search journey is becoming less visible - in essence, search is going dark. For large e-commerce businesses managing thousands of products and many categories, this growing uncertainty creates significant risk and makes it harder to influence a journey you can no longer see.
The answer to the uncertainty, speculation and misinformation is to adapt a proven system for this new reality. Generative Engine Optimisation (GEO) A/B testing applies the same statistical rigor of SEO testing to this new AI-driven world. The focus shifts from optimizing for initial visibility towards ensuring your product and category pages are the most compelling source of information for an AI model as it guides a user toward a purchase.
If you’d like to speak to the SearchPilot team about GEO testing, get in touch.
If you’d like to learn more about how GEO A/B testing works, check out our detailed guide:
(You might notice that along with the debate about what works and how optimizing for AI recommendations differs from regular SEO, there has been significant discussion in the industry about what to call this emerging practice. I’ve heard GEO (for Generative Engine Optimization), AIO (for AI Optimization), LLM Optimization (because LLMO is too silly even for those advocating this name), and even AISEO which, honestly, sounds like a verse of Old MacDonald. We’re going with GEO for now, because it captures the essence of the difference which is that these “generative engines” are a fundamentally different user experience more because of the mode of interaction they enable, and less because there is an AI under the hood.)
It’s early days, and you need to be getting enough clicks from these new sources in order to be able to run experiments against them. We are just starting this process with our customers, but you can be sure that we will be publishing interesting case studies as soon as we can. Sign up below to be the first to hear!
