服装工厂获客难？AI搜索时代，GEO优化才是获客新密码

Core Viewpoint - In the AI search era, garment manufacturing companies must replace traditional SEO with GEO (Generative Engine Optimization) to ensure their information becomes a core source for AI responses, rather than being buried in search results [3]. Group 1: Changes in User Behavior - Users now prefer to ask large models direct questions, such as "Where can I find an OEM factory for sportswear in Guangzhou?" instead of clicking through multiple links [4]. - The traditional SEO approach of optimizing for search engine algorithms is becoming less effective, as many factories find that their customer acquisition through SEO is lower than when posting on B2B platforms [5]. Group 2: Understanding GEO - GEO focuses on AI-driven recommendations rather than search engine rankings, shifting the goal from attracting clicks to being directly referenced in AI responses [6]. - The underlying logic of GEO emphasizes semantic understanding over keyword matching, meaning that AI looks for contextually relevant information rather than just specific keywords [7]. Group 3: Practical Implementation of GEO - Companies should create a structured information matrix that includes essential details such as name, address, product types, service advantages, and customer cases [14]. - It is crucial to publish content on high-authority platforms and enhance information credibility through structured data and industry certifications [19]. Group 4: Case Study and Results - A Guangzhou OEM factory transitioned from traditional SEO, which brought in 3-5 customers monthly at a cost of 8,000 yuan, to GEO optimization, resulting in direct AI referrals and an increase in customer inquiries to 15-20 per month at a reduced cost of 5,000 yuan [17][20]. Group 5: Target Audience for GEO - The most suitable companies for implementing GEO include garment OEM factories, small-batch clothing enterprises, foreign trade clothing companies, regional clothing brands, and suppliers in the live-streaming sector [22].