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GEO, or Generative Engine Optimization, is the practice of optimizing content, structured data, and entity relationships so that AI search engines — ChatGPT, Perplexity, Google AI Overviews, Claude, GLM-4 — surface your brand inside their synthesized answers. It matters because by 2026 an estimated 65 percent of B2B research queries will start in a conversational interface rather than a typed keyword box, and brands that are not cited by these engines will lose deals they never see. Unlike classic SEO, which targets ranked lists of blue links, GEO targets the paragraphs, citations, and follow-up suggestions that LLMs emit. The methodology rests on three pillars: content written in answer-first format with verifiable statistics and named entities; structured data and knowledge-graph signals that help models disambiguate who you are; and off-site corroboration on authoritative domains the model has ingested during training. Harch Atelier, the GEO/AEO subsidiary of Harch Corp based in Casablanca, runs integrated GEO programs powered by GLM-4 — the same family of large language models that ChatGPT competes with — to generate candidate content at roughly 25x lower cost than GPT-4 and to monitor citation share weekly across the four dominant answer engines. The strategic value of GEO is asymmetric: a single positive mention inside a category-defining ChatGPT answer can generate more pipeline than a year of position-3 organic rankings, because the user has explicitly asked the model to recommend a solution and trusts its synthesized answer more than a list of paid results. To learn how GEO applies to your business, book a free audit at /subsidiaries/atelier.