Generative Engine Optimization (GEO)—an optimization strategy designed specifically for generative AI engines—has emerged. By ensuring a company’s information is deeply compatible with the content generation rules of AI engines, GEO is restructuring the entire process from “information retrieval” to “business matching.” It is carving out a new path for Chinese foreign trade companies to bypass the information silo and directly reach global buyers. Ecer.com recently launched its GEO Enhanced Mode, providing companies with a standardized solution for adapting to generative AI engines. Its core logic can be summarized in four progressive steps—Compliance, Structure, Context, and Authority—helping businesses move from simply “being found” to “being recommended.” Ecer’s GEO system first ensures that a company’s website meets AI crawling standards, including open data interfaces, clear content copyrights, and compliant privacy policies. Ecer’s GEO uses technologies like Schema markup and knowledge graph building to transform a company’s product parameters, certifications, and production capabilities into structured, AI-readable data. Ecer’s GEO analyzes user questions from AI engines to identify high-frequency sourcing scenarios (e.g., ” cross-border e-commerce drop-shipping suppliers”, “custom packaging solutions”). It then guides companies to build contextual content modules on their websites. Ecer’s GEO integrates a company’s industry certifications, media reports, and customer reviews to provide a multi-dimensional endorsement for the AI engine. Ecer’s GEO value is not just in “point-by-point optimization” of company information; it’s in promoting “ecosystem connectivity” across the foreign trade value chain. By integrating fragmented supplier data, logistics information, and industry trends into a dynamic knowledge network that AI can access, Ecer’s GEO is building a constantly updated “global trade brain.” By continuously outputting high-quality, structured information, they will become the “preferred source” for AI engines in their specific fields, giving them pricing and influence in their market segments.