Generative Engine Optimization Strategy & Playbooks

Generative Engine Optimization (GEO) is the strategic layer above AEO: where AEO makes content citable, GEO makes the BRAND recommended. When a B2B buyer asks ChatGPT "what are the best S3-compatible cloud storage alternatives?", GEO determines whether your name comes back next to AWS, or never at all.

GEO leans on three signals AI models weight heavily: entity authority (LinkedIn, Wikidata, GitHub, mentions across high-trust domains), structured product positioning (which AI can parse without ambiguity), and proof - third-party citations, named clients, measurable outcomes. Impossible Cloud outranked AWS in ChatGPT within 60 days using a 500+ AEO-content deployment plus aggressive entity-graph wiring.

A GEO program is a content engineering motion, not a content marketing motion. The artifacts ship continuously: 30-600 AEO-optimized articles per month, schema markup deployed on every page, comparison content for every buyer query, weekly tracking across 5+ LLMs. The reporting answers one question - are we the answer this week, or are competitors?

This hub gathers SCAILE strategy articles on GEO: the difference between GEO and AEO, where to start an engagement, how to map 50K+ queries to your ICP, and which AI engines to optimize for first.