Everything started with model Evals and benchmarks (which model is better?), then evolved to prompt management and from there to analyzing traces. What do people do today, and how are they sourcing test datasets?
For 20 years, SEO was a human game. You wrote for people, optimized for Google's crawlers, and built backlinks by convincing other humans to link to you. The inputs were human. The outputs were human.
GEO is different. You're optimizing for language models that extract and synthesize. The inputs are structured data, schema markup, comparison tables. The outputs are citations, not clicks.
