Core Insights - The integration of general AI models into various industries is establishing a foundational technology for digital applications, but challenges in "scene adaptability" are emerging in specialized fields like financial and tax management [1] - The emergence of vertical AI models signifies a shift from "general cognition" to "professional understanding," with a focus on enhancing the execution of business processes [1] - Over 70% of enterprises are prioritizing the development of vertical intelligent agents, indicating a consensus on the need for in-depth scene-specific technology [1] Industry Dynamics - The financial and tax sectors are seen as a testing ground for AI's vertical capabilities due to their complex regulatory and data environments [2] - A dual-track strategy combining "general capability foundation + vertical fine-tuning" is becoming mainstream, enhancing AI's execution precision in specialized scenarios [2] - The approach taken by companies like Weifengqi, which focuses on integrating policy, business, and data, exemplifies the practical application of vertical intelligent agents in the financial sector [2][3] Technological Innovations - Weifengqi's financial and tax vertical intelligent agent utilizes a self-developed vertical model that combines general capabilities with scene-specific fine-tuning, improving adaptability to complex business scenarios [3] - The shift in technology competition from "computational power" to "scene cultivation" is redefining the boundaries of professional services in the financial and tax sectors [3][4] - The transformation towards AI-driven services is expected to lead to three major trends: intelligent and precise policy analysis, proactive risk prevention, and scenario-based decision support [3] Future Outlook - The rise of financial and tax vertical intelligent agents marks a new phase in industry digitalization, focusing on "value creation" [4] - Companies like Weifengqi are paving a differentiated path for professional services through the integration of general technology and vertical scene innovation [4] - As more similar practices emerge, vertical intelligent agents may redefine industry competition rules, positioning AI as a core driver of professional service upgrades [4]

Core Insights - The year 2025 is widely recognized as the year of intelligent agents, with companies increasingly betting on this technology for survival [2] - Youyi Technology, established in 2007 and focused on MarTech, has begun exploring intelligent agent business since last year, raising questions about opportunities for a marketing-centric company in this domain [2] Group 1: Market Dynamics - AI search is expected to significantly impact internet operations, particularly for Gen Z users who are native to AI, making AI search a crucial aspect of brand communication [2] - As AI search becomes more prevalent, Generative Engine Optimization (GEO) will become a core focus for brand communication, replacing traditional SEO [2] Group 2: GEO Effectiveness - GEO's effectiveness can be assessed by predicting market demand and verifying whether communication content is indexed by large models, which is a key selling point of Youyi Technology's new GEO intelligent agent [4] - Youyi Technology has developed a multi-layered rule engine to simulate the indexing processes of mainstream large models, allowing for dynamic adjustments and validation strategies [4][5] Group 3: Market Potential - The AI search market is projected to reach $360 billion by 2029, with GEO expected to capture a portion of this market as a service provider [6][7] - The technology barrier for GEO is higher than traditional SEO, as the indexing and citation rules of large models are opaque, requiring GEO service providers to validate content through simulation testing [5] Group 4: Algorithm Fairness - The challenge of algorithm fairness arises as GEO aims to optimize algorithm results for brand enterprises, with concerns about the commercial viability of Youyi Technology's GEO intelligent agent still in early stages [7][8] - Some AI search platforms are proactively regulating advertising content to ensure user respect and content safety, indicating a shift in how advertising is integrated into AI-generated content [8] Group 5: Future Outlook - The future of GEO intelligent agents as a marketing vertical is still uncertain and will depend on collaboration among users, brands, and AI search platforms [9]