Investment Rating - The report maintains an "Accumulate" rating for the food and beverage industry [1] Core Insights - AI marketing is transforming the marketing logic from "experience-driven" to "data-intelligent-driven," enhancing efficiency and precision in marketing strategies [5][10] - The AI marketing sector is expected to reach a market size of nearly 100 billion by 2029, driven by the increasing demand for digital transformation and technological advancements [5][36] - The emergence of Generative Engine Optimization (GEO) is creating new growth opportunities in the marketing landscape, with significant potential for market expansion [5][41] Summary by Sections AI Marketing: Full-Chain Digital Reconstruction - AI marketing leverages technologies like machine learning and natural language processing to capture user needs and respond in real-time, moving beyond traditional marketing methods [10][11] - The marketing process is divided into four core functions: data insight, content generation, process execution, and interactive assistance [11][12] Acceleration of AI Marketing Commercialization - The AI marketing sector is transitioning into a new phase of commercial application, with three main monetization models: advertising revenue sharing, subscription models, and value-added service fees [17][19] - Leading SaaS companies are integrating AI technologies to enhance marketing effectiveness, with notable examples including Salesforce and Tencent's Magic Agent [23][30] New Opportunities in AI Marketing: GEO - GEO aims to optimize content visibility and credibility in AI-generated responses, significantly improving traffic acquisition efficiency [41][44] - The GEO market is projected to grow substantially, with estimates suggesting a market size of 29 billion yuan by 2025 and 240 billion yuan by 2030, reflecting a CAGR of 52.6% [54][55]