Core Viewpoint - The article discusses the emerging concept of Generative Engine Optimization (GEO), which aims to enhance brand visibility in AI-generated responses, highlighting a significant shift in digital marketing strategies from traditional SEO to AI-focused optimization [4][5][6]. Group 1: GEO Concept and Market Dynamics - GEO is defined as a strategy to increase the presence of brand information in AI-generated answers, with studies indicating that optimization can boost content visibility by up to 40% [4]. - The global GEO market is projected to exceed 42 billion yuan by 2025, with a compound annual growth rate of 87% [5]. - Companies like Profound, which focus on AI search optimization, have gained significant investment, with Profound's valuation surpassing 100 million USD after multiple funding rounds [5][6]. Group 2: Impact of AI on Search Behavior - The rise of AI tools like DeepSeek has transformed search behavior, with brands now competing for mentions in AI responses rather than traditional search rankings [6][7]. - As of March 2025, DeepSeek's SearchAPI has reached an average daily call volume of 30 million, accounting for approximately 60% of domestic AI application search requests [16]. - Predictions suggest that by 2027, over 50% of recommendation traffic will come from AI dialogues, indicating a major shift in consumer purchasing behavior [18]. Group 3: Strategies for GEO Implementation - Companies are advised to match brand keywords with user inquiries to effectively present advertising information in AI responses [9]. - The cost of keyword placement in GEO is relatively low, with domestic platforms charging between 150-300 yuan per keyword monthly, making it accessible for many businesses [12]. - The approach involves generating AI-optimized content based on company information and feeding it into accessible platforms to enhance visibility [26][27]. Group 4: Challenges and Future Outlook - The GEO market is characterized by a mix of traditional SEO firms, content marketing companies transitioning to AI search, and new startups focused on GEO [20]. - The lack of transparency in large model algorithms complicates decision-making, and there is a risk of low-quality content affecting brand visibility [23][24]. - The future of marketing in the AI era may see a shift towards a more concentrated industry structure, with potential for "bidding rankings" depending on the choices of large model providers [28].