AI Search for Startups: Earn Citations Before You Are Well Known
An operational AI-search playbook for startups: build verifiable evidence, source-ready pages, platform access and measurement without citation guarantees.
An operational AI-search playbook for startups: build verifiable evidence, source-ready pages, platform access and measurement without citation guarantees.
Generative engine optimization (GEO) is the emerging practice of making your content, entities, and evidence easier for generative search systems to understand, retrieve, and cite. It is an editorial practice grounded in academic research and Google’s own documentation — not an official Google feature, not a citation guarantee, and not a replacement for SEO. This article defines GEO, contrasts it with SEO, and shows where to start.
Public AI search benchmarks for 2026 are not reliable enough to anchor a budget to. Build the AEO/GEO budget around scope and measurement instead: what you are protecting, what you can actually measure, and what would change a content decision. The framework below sizes the work without inventing enterprise survey numbers, and flags where common ‘AI search benchmark’ claims fall apart.