Most GEO advice today rests on vendor claims and pattern-matching from the SEO era. We wanted to know what actually moves brand visibility inside AI answers, so we measured it. The aim is to answer four questions about your own market: Where the gaps are between you and your competitors across ChatGPT, Gemini, Google AI Mode, Google AI Overviews, Microsoft Copilot and Perplexity What actually drives AI visibility in your industry How your firm benchmarks against those drivers Which of those drivers you can move Information gain dominates everything else, and several formats the industry treats as essential show no effect at all. We then cover the data you need to answer those questions and where to get it, and how to model it. The design choices are what decide whether the result means anything. You will leave able to build this yourself. All of it is covered in more detail, with the code, in my O’Reilly book, Generative Engine Optimization with Python, out now in early release: https://www.oreilly.com/library/view/generative-engine-optimization/0642572346447/
Andreas Voniatis is the Founder & CEO of Artios, a specialist GEO agency helping B2B businesses become the answer in AI search. He is the author of the forthcoming O'Reilly book on Generative Engine Optimization with Python (out now on early release): the world's first published work on the subject. Andreas built his first large language model in 2018, four years before ChatGPT put AI search on the map, and he recognised early that traditional search was running out of road. That foresight became Artios: helping businesses earn visibility in AI search today and agentic search tomorrow.
