Core Insights - The article highlights the development and capabilities of the domestic AI search product, Mita AI Search, which is one of the earliest AI search products launched by a startup team [1] - The collaboration with MiniMax Speech enhances the user experience by providing a natural and pleasant voice for knowledge explanations through the "Tazi Teacher" feature [2] - The M2 model from MiniMax is utilized for deep research, offering reasoning capabilities and a strong interlinked thinking chain [3] Group 1 - Mita AI Search is recognized for its excellent experience in knowledge indexing, organization, and output due to the team's background in computer science and law [1] - The "Deep Research" mode aims to demystify the search planning algorithm by presenting a dynamic "problem chain" during the analysis process, making complex research clearer [4] - MiniMax M2 is designed for top-tier coding and agentic capabilities, focusing on delivering excellent performance at optimal pricing [4]

Investment Rating - The report does not explicitly provide an investment rating for the AI search industry Core Insights - The rapid development of AI technology has led to the emergence of AI search products, which utilize natural language processing to generate precise answers, offering a more efficient information retrieval experience compared to traditional search engines [3] - The report aims to analyze the market status, user preferences, and core pain points of AI search products in China for the year 2025 [3] User Research on AI Search Products - "Doubao" has the highest recognition among AI search products, significantly leading in actual usage with an 82.5% mention rate among respondents, compared to ChatGPT and Wenxin Yiyan [6][19] - Despite a high daily usage frequency of 83.92% for AI search products, 76.6% of users still prefer to combine traditional search engines, indicating that AI search is currently viewed as an auxiliary tool rather than a complete replacement [23][28] - Users prefer structured, detailed, and context-rich queries when using AI search, indicating a trend towards more vertical and long-tail search needs [30][32] - Trust in AI-generated content is generally low, with 90% of users verifying AI search answers and 87.4% concerned about the source of information, highlighting the importance of authority and quality in information sourcing [10][39][42] AI Search Product Recommendations - The report highlights several AI search products, including: - **Mita AI Search**: An ad-free search engine focused on professional productivity, offering various search modes and precise content sourcing [46][49] - **Nano AI Search**: Launched by 360, it integrates multiple mainstream models and supports features like PPT and video generation, achieving over 300 million monthly visits [51][54] - **Baidu AI Search**: Combines traditional search capabilities with intelligent search and creative services [10] - **Tencent Yuanbao**: Focuses on conversational search deeply integrated with the WeChat ecosystem [10]

Core Insights - The rapid growth of AI applications in China has led to a user base exceeding 120 million, marking a 232% year-on-year increase, with four main deployment models emerging: native apps, AI plugins, AI smartphones, and smart hardware [1][2] - Despite initial successes, many AI applications face the risk of becoming short-lived trends, as user habits evolve and the market matures, leading to a contraction in early explorations [1][2] - The competition in the C-end AI application market is shifting from mere functionality and traffic acquisition to a deeper exploration of user value and differentiation [2] Group 1: ChatBot Applications - "Wenxin Yiyan," China's first generative AI product, launched by Baidu, gained significant traction, reaching over 100 million users by the end of 2023 [3][4] - However, by 2024, Wenxin Yiyan began to lag behind competitors like Kimi and Doubao, with its monthly active users dropping significantly due to aggressive monetization strategies and a lack of developer ecosystem [5] Group 2: AI Photography - "Miaoyue Camera" emerged as a leading AI photography tool, achieving rapid popularity but ultimately faltered due to its limited functionality and inability to meet user emotional needs compared to traditional photography services [6][7] - The app's initial success was marked by high revenue, but it could not sustain user interest, leading to a significant decline in downloads [7] Group 3: AI Companionship - The AI companionship sector saw significant competition, with products like "Maobubai" failing to differentiate themselves in a market dominated by established players [10][12] - The discontinuation of "Maobubai" reflects the challenges faced by new entrants in a crowded market where user retention is critical [10][12] Group 4: AI Search - "Tiangong AI" and "Mita AI Search" were launched as AI search solutions but struggled to maintain user interest, with Mita AI Search experiencing a rapid decline in monthly active users after initial success [13][14] - The shift towards AI office assistants indicates a strategic pivot for many companies as they seek to redefine their product offerings [14][15] Group 5: Smart Assistants - "Kimi" initially gained traction through aggressive marketing but faced challenges in user retention and server capacity, leading to a significant drop in monthly active users [16][17] - The competitive landscape has shifted, with "Doubao" and "DeepSeek" overtaking Kimi in user numbers, highlighting the importance of ecosystem strength in the AI application market [17][18] Group 6: Entertainment Applications - AI-generated entertainment content, such as "AI Sun Yanzi," gained viral popularity but often lacked sustainability, leading to rapid declines in user engagement [20][22] - The lifecycle of such applications tends to be short, driven by novelty rather than long-term user value [22] Conclusion - The evolution of C-end AI applications is marked by a transition from initial hype to a more mature understanding of user needs and market dynamics, with a focus on sustainable growth and user retention becoming paramount [23][24]