Thank you Professor Fuchs for working on this great article and explanation! How long until we start seeing ads in LLMs? Especially in the free versions.
This is an excellent question, Cristina. I just read today that OpenAI might be preparing for an IPO. If that happens, shareholder pressure to monetize more aggressively will likely increase. That could shift the company’s focus (from innovation and access) to profit and scale. It will be interesting to see how they balance financial expectations with their original mission.
Thank you so much, Jan-Oliver! I’m doing my best to publish a weekly briefing on one of the major shifts happening in marketing right now. It’s designed for everyone who doesn’t have the time to stay on top of every development but still wants to understand what really matters.
Very interesting read. I wonder how the user’s context fits into the optimisation plan. User context significantly changes how the LLMs answer. As it differs across users, it seems very difficult to me to plan for this.
Thanks, Steffen. Exactly. The key with GEO is that we no longer optimize for visibility, but for justification. Since generative engines personalize their answers using private user data we can’t access, our only leverage is the quality and structure of our own content. In short: GEO isn’t about being seen, but about being selected ... by the algorithm, and ultimately, by the user.
Thanks Andreas. This is by far one of the clearest explanations of GEO I have read. Good to hear that I should be chasing citations rather than clicks as well. Appeals to my academic side very much. 🙏
Thank you Professor Fuchs for working on this great article and explanation! How long until we start seeing ads in LLMs? Especially in the free versions.
This is an excellent question, Cristina. I just read today that OpenAI might be preparing for an IPO. If that happens, shareholder pressure to monetize more aggressively will likely increase. That could shift the company’s focus (from innovation and access) to profit and scale. It will be interesting to see how they balance financial expectations with their original mission.
Thank you for sharing your thoughts, I appreciate it.
Anytime
A remarkable article that guides our actions. Many thanks for your efforts and excellent work! 🙌
Thank you so much, Jan-Oliver! I’m doing my best to publish a weekly briefing on one of the major shifts happening in marketing right now. It’s designed for everyone who doesn’t have the time to stay on top of every development but still wants to understand what really matters.
Very interesting read. I wonder how the user’s context fits into the optimisation plan. User context significantly changes how the LLMs answer. As it differs across users, it seems very difficult to me to plan for this.
Thanks, Steffen. Exactly. The key with GEO is that we no longer optimize for visibility, but for justification. Since generative engines personalize their answers using private user data we can’t access, our only leverage is the quality and structure of our own content. In short: GEO isn’t about being seen, but about being selected ... by the algorithm, and ultimately, by the user.
Thanks Andreas. This is by far one of the clearest explanations of GEO I have read. Good to hear that I should be chasing citations rather than clicks as well. Appeals to my academic side very much. 🙏
Thanks, dear Sam. I like that thought ... GEO really does feel like the academic version of marketing: less noise, more credibility. 🙏
This is a valuable piece right here for 2026.
Thank you so much Dennis. There is so much more to come