This piece explains generative engine optimization for consultants, coaches, and other expertise-led business owners who want to know why ChatGPT, Claude, and Gemini never mention them, and what actually changes when AI, not Google, is doing the recommending.
Ad Age ran a piece on July 30 covering a talk from the Ad Age Small Agency Conference, where Peter Sloterdyk, chief marketing officer at a company called Gist, put the clearest version of this distinction I have seen in print: answer engine optimization is about getting your brand around the answer. Generative engine optimization is about getting your brand recommended in the answer.
I want to be honest about something before going further: "GEO," "AEO," and "AI SEO" get treated as three different disciplines, and mostly they are not. They are three names for the same shift, coined by different companies trying to own a category. GEO, AEO, and AI SEO are all about whether an AI tool recommends you by name when someone asks it a question, instead of searching for one and scanning a list of links. That is the real line, and it sits between all three of those terms together on one side and traditional SEO on the other. The rest, GEO versus AEO versus AI SEO, is branding.
The article's most interesting example, and I want to be upfront that it comes from the company sponsoring the piece rather than independent research, is Ally Financial. Sloterdyk said Ally started investing in GEO two years ago and has since become the most frequently recommended bank by AI assistants, ahead of much larger competitors who have not caught up yet. I cannot verify that claim independently, and neither can you, so treat it as a data point from someone with something to sell, not proof. What I do think is true, because I see it in my own work, is the underlying idea: a smaller, faster-moving business can out-position a much bigger one on AI visibility, because this is not a budget contest the way traditional SEO often is.
That line from Sloterdyk explains most of what actually determines AI visibility. It is not about tricking a model. It is about being the easiest, clearest, most verifiable source for the model to grab. Content that sits behind a login wall cannot be crawled at all. Content spread across open platforms like Reddit and YouTube gets weighted heavily, because it is public and easy to reach. A clean, direct, well-corroborated answer beats a longer, more careful one that takes more work to extract.
None of that is about keyword density or backlink counts. It is closer to reputation management than technical SEO, which is why an SEO agency chasing rankings and traffic is doing a different job than GEO requires, not a smaller version of the same one.
I run my own site through this same kind of check, out loud, because the alternative is asking a consultant to trust AI-visibility advice from someone who has not confirmed whether AI can find them either. That is the whole point of doing this in public instead of just writing about it.
I do not sell GEO, AEO, and AI SEO as three separate services, and I would be skeptical of anyone who does. It is one problem with several names. I call the work AI visibility, and it comes in three parts: the AI Visibility Check to find out where you actually stand, the AI Visibility Fix to close the specific gaps that check finds, and AI Visibility Growth to keep it working as AI tools and competitors change.
If you want to see where your own business actually stands on this right now instead of guessing, the AI Visibility Check will tell you.