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GEO & AI Search

Generative engine optimization without the hype. How ChatGPT, Gemini, Perplexity and Google AI features choose sources, what the evidence supports, and what it does not.

55 posts, newest first. Page 2 of 2.

Tags in this track:GEOAEOAI VisibilityAI SearchSEOprogrammatic SEO

GEO

GEO Is Experimental Science: How to Run AI Visibility Like a Product Team

SEO became a craft because you could reverse-engineer one ranking function. GEO can't work that way: you're optimizing against many non-deterministic models with probabilistic citation behavior. That makes GEO experimental science, and it should be run like a product team runs experiments.

GEO

Crawl Budget Is Now an AI Visibility Problem

Crawl budget is no longer a technical SEO footnote. Google's AI surfaces draw from the same Search index as the blue links, so whether you appear in an AI answer reduces to whether Google crawled, indexed, and kept your pages fresh.

GEO

GEO Is a Product Discipline, Not a Marketing One

The entire GEO industry treats AI visibility as a marketing problem: track citations, optimize content, report share of voice. That framing is why most GEO programs plateau. The deeper truth is that GEO is a product discipline, and the teams winning at it have figured that out.

GEO

Why GEO Has to Be Vertical (When SEO Never Was)

SEO became a horizontal layer because its substrate was uniform: one ranking algorithm, one signal set, one results format. GEO can't collapse that way. Here is the architectural reason.