GEO Structured Data for Independent Foreign Trade Websites: Enabling AI to Accurately Identify Your Products and Services
This article, drawing on the latest industry reports from February 2026 (OpenAI, Ahrefs, McKinsey, etc.) and verifiable external links, deeply analyzes the core significance of structured data in GEO (Generative Engine Optimization) for independent foreign trade websites. It breaks the misconception of "emphasizing content while neglecting structure," clarifying that structured data is key to AI's accurate product and service identification. Focusing on practical implementation, it details the four essential types of core structured data for independent foreign trade websites (product, company qualifications, services, and customer case studies), providing specific operational guidelines and case studies. It breaks down the three-step implementation process of "information sorting → standardized layout → verification and optimization," ensuring the methods are directly applicable. This helps companies enable AI to quickly and accurately capture core information, clearly understand product and service advantages, and thus stand out in the purchasing recommendations of AI tools like ChatGPT, achieving precise customer acquisition. The article has a clear structure, with chapters and subheadings clearly separated and presented in bold. Each line of text conforms to the requirements of long sentences, and external links are naturally integrated into the text. The end naturally promotes the brand store website building service. At the same time, it provides standardized article summaries, meta descriptions and slugs to help foreign trade enterprises optimize GEO structured data and seize the AI customer acquisition dividend.
