Core Insights - The "2025 Giant Engine Search Management White Paper" focuses on the Douyin search ecosystem, analyzing user behavior, operational pathways, industry scenarios, and future trends to uncover growth strategies in search management [1][2]. User Behavior Insights - Douyin users exhibit both "browsing" and "searching" habits, averaging 100 searches per month, with search GMV growing by 55% year-on-year, establishing search as a core area for brand growth [1][2]. - 90% of users initiate searches within 30 seconds of browsing, with higher conversion efficiency linked to more precise searches; 72% of users remain on the first screen during the precision search phase [1][2][12]. - The search user demographic is younger and more affluent, particularly in new first-tier cities, with strong demand for new products and various lifestyle-related categories [1][13]. Search Management Strategies - Effective search management hinges on three main components: content management, search term management, and search conversion [2][20]. - Content management should leverage trending topics and niche scenarios to stimulate post-browsing searches, while search terms should be stratified into broad and precise categories to enhance interaction and conversion [2][20]. - Brands like Yuru and Muke Poetry have successfully increased both search traffic and sales through integrated search and star marketing strategies [2][20]. Industry Scenarios and Differentiation - Different industries and scenarios require tailored strategies; e-commerce, local services, and lead generation can enhance conversion through adaptive tools [2][20]. - Key promotional periods, such as major sales events, can significantly boost GMV through product exposure and interactive tasks, while emotional triggers can enhance user engagement [2][20]. Future Trends - AI search is expected to evolve rapidly, increasing its share in search advertising and enhancing the value of first-screen traffic [2][20]. - Douyin search is transitioning from "inspirational search" to "integrated search," becoming a critical engine for brand growth across all domains [2][20].

Core Insights - AI search is transforming the information retrieval methods for 240 million users in China, redefining the competitive landscape among the BAT (Baidu, Alibaba, Tencent) giants [2] - The AI search sector is evolving into a three-way competition, with significant growth in user engagement and market size projected [3] Group 1: Market Dynamics - The AI search market is expected to exceed $28 billion globally by 2024, with China being the fastest-growing region [3] - Major players are adopting different strategies: Baidu focuses on general search, Alibaba integrates AI into its Quark app, and ByteDance leverages a product matrix for competitive advantage [6][7] Group 2: User Engagement and Growth - As of February 2025, DeepSeek, Doubao, and Tencent Yuanbao lead the AI native application market in China with monthly active users of 190 million, 110 million, and 40 million respectively [3] - Baidu's AI-generated content in mobile search results surged from 35% in April to 64% in July, indicating a significant shift from traditional search methods [3][5] Group 3: Product Innovation and Differentiation - Baidu's recent search overhaul introduced an "intelligent box" for enhanced user interaction, moving away from static links to structured, multimodal AI responses [5][6] - ByteDance's Doubao achieved rapid growth, surpassing DeepSeek with 159 million monthly active users, benefiting from a robust product ecosystem [3][6] Group 4: Commercialization Strategies - Alibaba's Quark app monetizes through subscription services and AI document processing, while Baidu's Wenku shows strong commercial potential with over 90 million monthly active users [10][12] - ByteDance's Doubao employs a diversified revenue model through API licensing, B2B partnerships, and ad revenue, establishing a clearer commercial value [13] Group 5: Regulatory Challenges - The AI search industry faces challenges such as content homogenization and compliance issues, highlighted by Quark's recent regulatory penalties for inappropriate content [14] - The competitive landscape is shifting as companies adapt to new regulations and user expectations, with a focus on building robust ecosystems [14][15] Group 6: Future Outlook - The competition in AI search is set to intensify, with predictions indicating that by 2027, over 70% of smart devices in China will support AI search capabilities [16][17] - The next 1-2 years will be critical in determining whether traditional giants can maintain their market positions or if niche players can leverage their advantages to gain traction [17]

Core Insights - Baidu's third-quarter AI business revenue grew over 50% year-on-year, with intelligent cloud infrastructure revenue at 4.2 billion yuan, AI application revenue at 2.6 billion yuan, and AI native marketing service revenue at 2.8 billion yuan, which saw a 262% increase [1][2] - However, Baidu's total revenue and core revenue both declined by 7% year-on-year, primarily due to a decrease in online marketing revenue, which fell by 18% to 15.3 billion yuan, accounting for nearly half of total revenue [1][2] - The 2025 Baidu World Conference highlighted Baidu's ambition to position itself as a central hub for task execution in the AI era, showcasing innovations like the Orion AI engine and various AI applications [1][4] Revenue Trends - Baidu's online marketing revenue has been on a downward trend since 2024, indicating a significant challenge for the company [1][2] - The decline in online marketing revenue is attributed to the loss of traffic distribution capability, impacted by competition from platforms like Douyin, Kuaishou, Xiaohongshu, and WeChat [2][3] AI Search Development - Baidu's AI search is evolving into a task execution hub, integrating various AI capabilities to understand complex user needs and deliver personalized results [3][5] - The new search engine aims to provide a richer user experience by offering results in various formats, including text summaries, AI-generated videos, and direct task execution [5][11] Strategic Positioning - Baidu is building a more complex and open task execution hub that integrates multi-modal capabilities and memory systems to enhance user interaction [11][12] - The company is exploring new commercial opportunities, such as testing e-commerce components in AI search, which generated peak daily transaction volumes close to 6 million yuan during the Double 11 shopping festival [12] Future Outlook - Baidu's ability to establish the Orion AI engine as a foundational pillar for the industry will significantly influence its position in the AI era, determining whether it remains a key player in entry control or transitions to a provider of large models and cloud infrastructure [12]

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]

Core Insights - The article emphasizes the fundamental differences between human search behavior and AI search requirements, highlighting that AI searches are dynamic, iterative, and often involve multiple queries to address complex tasks [1][6][9]. Group 1: AI Search vs. Traditional Search - AI search is characterized by its need for multi-turn, iterative queries, contrasting with the static, one-time queries typical of human searches [1][6]. - The accuracy of AI search results is prioritized over speed, with a focus on comprehensive information coverage rather than just the top results [8][9]. - AI agents require longer, more detailed content to understand context, differing from traditional search engines that provide short summaries [7][8]. Group 2: Challenges in AI Search Integration - Different AI applications face unique challenges when integrating search capabilities, such as the need for task decomposition in office applications and ensuring low-latency responses in AI hardware [10][15][28]. - The importance of authoritative content has increased significantly, as AI agents generate answers directly from search results, necessitating strict standards for content quality [7][24]. Group 3: Search Infrastructure and Technology - The search infrastructure provided by companies like Xiaosu Technology includes intelligent search and content reading capabilities, essential for AI agents to access reliable information [10][11]. - The article discusses the need for a large-scale data index and advanced algorithms to ensure timely and accurate search results, addressing the limitations of traditional search methods [29][31]. Group 4: Future of AI Search - The future of search is expected to be closely tied to AI agents, with a projected exponential increase in token consumption as AI applications become more prevalent [41]. - Companies are focusing on enhancing search quality to reduce the reliance on costly AI models, suggesting that effective search can significantly lower operational costs [35][36].

过去20年，搜索领域经历了数次变革性的代际跃迁。 从2001年中国初代自研的网页搜索引擎上线，填补中文搜索空白，到2019年，ERNIE语义模型在搜 索上线，用户可以用自然语言、甚至口语化的问题来发起搜索，中文搜索的每一次技术迭代与功能升 级，本质都是对用户需求的精准呼应与深度满足。 如果说早期的搜索是帮人在信息海洋中"捞针"，依靠关键词匹配实现从无到有的信息触达，那么如今 的搜索早已超越了单纯的信息检索范畴，成为连接人、信息与服务的核心纽带。 AI时代，当下用户的搜索需求正在发生质的变化， 更多此前没有被用户所表达的需求正在被释放出 来。 无论是规划一场旅行，还是构思一条创意内容，人们希望通过一次搜索就能获取完整结果。 显然，传统搜索"只给原料不给成品"的碎片式供给，已无法匹配用户的整体性需求。 在大模型技术全面渗透的当下，11月13日，百度宣布重塑搜索系统，正式发布"百度猎户座"AI引 擎。其作为搜索背后的超级大脑，通过对信息、工具、富媒体内容、服务的统一链接与深度融合，正 重新定义AI时代的搜索。这一变革也直接将搜索行业推向了转型临界点，一场全新的范式革命已然 到来。 搜索行业重塑 今年7月，百度搜索团 ...

Core Insights - Baidu's founder, Li Yanhong, stated that the majority of search results on Baidu are generated by AI, with 70% of the top results featuring rich media content [2] - Baidu is recognized as the most aggressive in AI transformation among global search engines, shifting from text-based results to a focus on rich media such as images, videos, and live broadcasts [2] - Baidu has opened its AI search capabilities through an API, collaborating with major manufacturers like Samsung, Honor, and Vivo, with 625 companies currently integrated with Baidu's AI search API [2]

Core Insights - Baidu has fully restructured its search engine with AI, generating the majority of search results through artificial intelligence, achieving a 70% coverage of rich media in the top search results [1][3] Group 1: AI Integration in Search - Baidu is recognized as the most aggressive company in AI transformation among global search engines, shifting from text and links to rich media content as the core of its search application [3] - Users now receive answers in various formats such as images, videos, live broadcasts, and digital personas, with 7 out of 10 answers presented in these forms [3] Group 2: Partnerships and API Accessibility - Baidu has opened its search capabilities through AI APIs, partnering with major hardware manufacturers like Samsung, Honor, and Vivo, with 625 companies integrating Baidu's search API via Baidu Smart Cloud [5] Group 3: Search Engine Revamp - The most significant overhaul of Baidu's search in a decade occurred in July, transforming the search box into a "smart box" that supports extensive text input and enhanced capabilities for photo, voice, and video [5] - Baidu's executives acknowledge the challenges of balancing innovation with user familiarity, emphasizing the need for change in response to rapid technological advancements and user preferences [5]

Core Viewpoint - Baidu Group is expected to achieve significant revenue growth from 2025 to 2027, with projected revenues of 1309.73 billion, 1356.68 billion, and 1443.07 billion respectively, alongside non-HKFRS net profits of 166.00 billion, 198.64 billion, and 235.48 billion, maintaining a "Buy" rating [1] Online Marketing Business - The online marketing sector is transitioning from a CPC model to a CPS model, with early tests of AI search commercialization underway, aiming to enhance profitability despite short-term revenue pressures [2] - Expected revenues from online marketing for 2025, 2026, and 2027 are projected at 623.91 billion, 592.72 billion, and 598.64 billion respectively [2] Intelligent Cloud Business - Baidu has achieved a leading market share in the AI public cloud sector, with a focus on creating a new generation of AI cloud infrastructure [3] - The company plans to open-source its Wenxin large model to facilitate low-cost access for developers and businesses, enhancing the model's influence and driving growth in the intelligent cloud business [3] - Projected revenues for the intelligent cloud business are expected to reach 273.25 billion, 327.90 billion, and 386.92 billion for 2025, 2026, and 2027 respectively [3] Intelligent Driving and Other Growth Plans - The Robotaxi service is positioned for rapid growth due to its advantages over traditional taxis, with ongoing regional expansion and strategic partnerships to increase order volume [4] - Expected revenues from intelligent driving and other growth plans are projected at 138.32 billion, 159.07 billion, and 174.97 billion for 2025, 2026, and 2027 respectively [4]

Core Insights - Rumble reported Q3 2025 revenue of $24.8 million and a net loss of $16.3 million [1] - The company holds $269.8 million in cash and 210.82 bitcoins, valued at approximately $24 million, totaling over $290 million in liquid assets [1] - Rumble has partnered with Perplexity AI to integrate AI search and launched a joint subscription service [1] - The platform has fully resumed operations in France [1]