Every few months a new acronym arrives claiming SEO is obsolete. GEO, AEO, and AIEO are the latest. Here's an honest look at what overlaps, what's genuinely different, and which claims to ignore.
SEO, GEO, AEO, AIEO. The acronyms multiply faster than the evidence does. Is this a new discipline, or old advice with a fresh logo? The honest answer is "both, depending on which claim you're looking at."
TL;DR: Generative engine optimization (GEO), also called answer engine optimization or AI engine optimization, is mostly SEO fundamentals applied to a wider set of surfaces. Google's own guidance on its AI search features says site owners don't need special optimization beyond normal SEO best practices. What's genuinely new is how you measure visibility (citations and mentions, not just rankings), the number of different engines involved, and the heavy influence of third-party sources. What's snake oil is anything sold as a hidden trick, including claims we've debunked in our posts on llms.txt and AI content.
If you've been doing good SEO, you've already done most of the groundwork for GEO. Our GEO guide for marketers covers the practical checklist.
Google's documentation on AI features and your website says that the same foundational SEO best practices apply to AI Overviews and AI Mode, and no extra files or special markup are required. Its spam policies also apply to AI answers, as clarified in 2026.
It's a real shift in where visibility happens and how you measure it, wrapped around mostly familiar fundamentals. The label matters less than the work. A sound approach treats it as an extension of SEO, plus brand and PR, plus new measurement. That's why the death of SEO is exaggerated.
Is GEO the same as AEO or AIEO? They're overlapping labels for optimizing visibility in AI-generated answers. The terminology isn't standardized.
Do I need a separate GEO agency? Not necessarily. Many SEO providers cover it. Judge them on evidence and clarity, not the acronym.
Will GEO replace SEO? Unlikely. The two are intertwined, and classic search remains a major source of discovery.
How soon should I invest? Start with the fundamentals, which pay off in both, and add monitoring as the tools mature.
Last updated: October 29, 2026. AI search is evolving quickly and terminology varies; rely on platform documentation and your own measurement.