Full definition
Generative Engine Optimization, abbreviated GEO, is the discipline of structuring digital content, technical metadata, and entity relationships so that large language models surface a brand, product, or person inside their synthesized answers. Unlike classic SEO, which targets ranked lists of blue links, GEO targets the paragraphs, citations, and follow-up suggestions emitted by generative engines such as ChatGPT, Perplexity, Google AI Overviews, Claude, and GLM-4. The methodology rests on three pillars: (1) content written in answer-first format with verifiable statistics and named entities, (2) structured data and knowledge-graph signals that help models disambiguate who you are, and (3) off-site corroboration on authoritative domains that the model has ingested during training and retrieval. GEO matters because by 2026, an estimated 65 percent of B2B research queries will start in a conversational interface rather than a typed keyword box. Harch Atelier, the GEO/AEO subsidiary of Harch Corp, runs GEO programs powered by GLM-4 from Casablanca, blending proprietary entity extraction, content rewrites, and continuous citation monitoring across the four major answer engines.