Maximizing Generative Engine Optimization: Brand Visibility Insights

"Where does a brand need to be seen / present to get good Generative Engine Optimization (GEO) impact and results?" It's a great question. Let me answer this in a way that helps explain why you may see brand visibility in one LLM, and not in another. 1) Each LLM uses a different AI model. 2) Each LLM was trained on different data. 3) Each LLM uses different real-time search tools: - ChatGPT uses Bing. - Copilot uses Bing. - LLMA uses Bing. - Claude uses Brave. - Mistral uses Brave. - Gemini uses Google Search. Also, each of the LLMs are actively making paid licensing deals with information sources all the time. For the most part, these new licensed sources become crawlable by that LLM's "retrieval-augmented generation" (RAG) real-time searches pretty quickly, and sometimes also for future LLM training. So, back to the question: "Where does a brand need to be seen / present to get good Generative Engine Optimization (GEO) impact and results?" The simplest answer is: "Be where your buyers are already hanging out." And that answer may be a little different for different brands. Your market shapes your where you want your relevant information to be found. So, your buyers shape your information priorities. THUS: As far as where to invest in OFF-SITE / 3RD-PARTY content build-up, GEO isn’t one-size-fits-all. Now, let's look at these three very interesting charts published by Profound very recently. They each show where different LLMs seem to be pulling their data. And they each show different information source profiles. Where are your buyers already hanging out? Seeing this helps explain why you may be visible already in one LLM, and not another. But remember, new content licensing deals are happening all the time! So, these profiles will constantly change. I hope this helps you understand the situation better.