Generative Engine Optimization (GEO): What It Is & How to Do It
A comprehensive guide to generative engine optimization, covering strategy, structure, metrics, and how AI discovery really works.
I lead Online Visibility at Semrush, part of Adobe, where my work focuses on how brands build and measure their presence across search and AI systems.
Much of my focus is on the evolution of AI search, particularly the increasingly interconnected roles of SEO and generative engine optimization (GEO). I see these as complementary disciplines, not competing approaches. Both are essential to helping brands get discovered, understood, and recommended as search behavior evolves.
I'm also exploring ideas around search everywhere optimization and LLM seeding, looking beyond traditional website optimization to how brands can build a stronger presence across the platforms, publishers, and information sources that shape both human discovery and AI-generated answers.
Before Semrush, I advised seven- and eight-figure businesses on SEO and content strategy. I also own UnderFit, an e-commerce brand I've built from the ground up. That hands-on experience continues to shape how I approach marketing, experimentation, and measurable growth.
A comprehensive guide to generative engine optimization, covering strategy, structure, metrics, and how AI discovery really works.
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