当AI搜索结果也是 123 上链接，有多大搞头？

Core Insights - The article discusses the growing integration of AI in various consumer products and highlights the potential of AI in the e-commerce sector, particularly through AI search functionalities [1][4][10] - OpenAI has introduced a shopping feature in ChatGPT that allows users to receive product recommendations based on their specific needs, indicating a shift towards personalized shopping experiences [2][4][10] AI Integration in Consumer Products - AI technology is being integrated into a wide range of household products, creating a perception that products without AI are outdated [1] - The focus is shifting from hardware to software applications, particularly in AI search, which remains a critical area for consumer engagement [1][6] AI Search in E-commerce - OpenAI's new shopping feature in ChatGPT allows users to input their budget and desired product features, generating tailored product recommendations [2][4] - The feature presents product cards with detailed information, including prices from various websites and user reviews, enhancing the shopping experience [2][4] Limitations of Current E-commerce Platforms - Current e-commerce apps struggle to meet highly personalized and complex search demands, often relying on keyword matching that fails to understand user intent [5][6] - AI's advanced natural language processing capabilities can address these limitations by understanding complex user needs and providing more relevant recommendations [7][8] Market Potential for AI Search - The search engine market is significant due to its role in user demand expression, with platforms like Baidu and Xiaohongshu demonstrating high user engagement in search activities [9][10] - Xiaohongshu's collaboration with Tmall allows users to directly access purchasing pages, indicating a trend towards integrating AI search with e-commerce [10] User Trust and Commercialization Challenges - The potential commercialization of AI search raises concerns about trust, as users may question the credibility of recommendations if they are influenced by advertising [14][16] - Maintaining user trust is essential for the successful commercialization of AI search, as evidenced by declining trust levels despite increased AI usage [16][18]