SEO, AEO & GEO
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the practice of optimizing content specifically so generative AI systems — ChatGPT, Perplexity, Google AI Overviews — surface, synthesize, and cite it correctly when generating an answer, extending traditional SEO into AI-native search.
Who Is It For?
GEO is led by the same SEO and content teams driving AEO, since the two disciplines overlap heavily and are often treated as a single evolving skill set.
How Is It Used?
It’s used to make sure content earns visibility inside AI-generated answers, not just traditional search rankings, as more research shifts to generative interfaces.
- Structure content with clear, extractable facts and definitions
- Build genuine topical authority so AI models trust the content
- Monitor how often and how accurately AI systems cite the brand
- Treat GEO as complementary to, not a replacement for, traditional SEO
Related Terms & Concepts
Frequently Asked Questions
Is GEO different from AEO?
They overlap significantly — AEO usually refers more broadly to optimizing for any direct-answer format, while GEO specifically targets generative AI systems, but many teams use the terms interchangeably.
Can GEO be measured with traditional SEO tools?
Not fully — most traditional rank trackers don’t capture AI citation activity, so teams increasingly rely on specialized tools built to monitor brand mentions inside AI-generated answers.
