From Search Engines to Answer Engines
For two decades, ranking on Google meant showing up in a list of ten blue links. That's changing fast. More people are now asking ChatGPT, Perplexity, and Google's AI Overviews for direct answers instead of clicking through search results themselves. If your brand isn't part of the answer these tools generate, you're losing visibility even if your website still ranks well the old-fashioned way.
How GEO Differs from Traditional SEO
Traditional SEO optimizes for ranking position — getting your page as close to the top of the results as possible. Generative Engine Optimization (GEO) optimizes for something different: being the source an AI model chooses to cite or summarize when generating its answer. A page can rank well in Google and still be completely ignored by an AI model, and vice versa.
What Signals AI Models Look For
AI models tend to favor content that's clearly structured, factually accurate, and easy to extract information from — think clear headings, direct answers to specific questions, and well-organized data. Structured data (schema markup) helps too, since it gives AI crawlers an unambiguous way to understand what your page is about. A newer addition to this toolkit is llms.txt, a simple file that tells AI agents what your business does and where to find authoritative information about it.
Practical Steps to Start
You don't need to overhaul your entire site to begin. Start by writing content that answers real questions clearly and directly, rather than burying the answer under marketing language. Add structured data to your key pages. Implement an llms.txt file. And start monitoring whether AI tools mention your brand at all — you can't improve what you're not tracking.
GEO is still a young field, which means there's a real first-mover advantage for brands who take it seriously now. Our GEO & AI Search Optimization service is built specifically around this shift.