Core Insights - The article discusses the recommendations for home cleaning machines, particularly floor washing machines, highlighting various brands and models that are favored by different AI models [1][23][24]. Brand Recommendations - DeepSeek recommends brands such as Roborock, Ecovacs, and Dreame for their cleaning machines [1]. - Yuanbao suggests Panasonic, Ecovacs, and Roborock as top choices [1]. - Doubao highlights Ecovacs, Yunji, Roborock, and Dreame as preferred options [1]. - Quark also recommends Roborock, Ecovacs, Dreame, and Yunji [1]. Price and Model Options - Basic model: Panasonic MC-RS555 (¥2999) + antibacterial mop (¥200), total budget ¥3200 [7]. - Flagship model: Ecovacs T80 (¥4299) + silver ion antibacterial module (¥499), total budget ¥4800 [7]. - Lazy model: Roborock G20S (¥4599) + automatic dust collection base (¥699), total budget ¥5300 [7]. Consumer Behavior and AI Influence - A survey by Accenture shows that 72% of consumers frequently use generative AI tools, with half relying on AI recommendations for purchases [23]. - 10% of consumers consider AI as the most trustworthy source for purchase decisions [23]. - The emergence of Generative Engine Optimization (GEO) is noted, focusing on how brands can ensure visibility in AI recommendations [24]. AI Brand Recognition Rankings - In the cleaning appliance category, Roborock ranks first for floor washing machines, followed by Dreame and Yunji [24]. - The AI recognition index for Roborock is 99.3, indicating strong brand awareness and preference [26]. - Ecovacs and Midea also feature prominently in the rankings, showcasing their competitive positioning in the market [26]. Marketing Implications - Brands are encouraged to understand how AI interprets products and to embed relevant features in their marketing content to enhance visibility [35]. - The article emphasizes the need for brands to adapt to the evolving landscape of AI-driven consumer interactions to avoid being overlooked [23][24].

Core Viewpoint - The concept of "AI hallucination" refers to AI generating inaccurate information, which is attributed to limitations in model generation and training data, but the role of search engines in providing accurate information is often overlooked [1][3]. Group 1: AI Hallucination and Search Engines - AI hallucination is a persistent issue that cannot be completely eliminated, primarily due to the inherent problems with information sources [3][4]. - The accuracy of AI-generated responses is influenced by the quality of the information retrieved from search engines, which can also contain inaccuracies [4][6]. - The search engine's role is likened to that of a supplier of ingredients for a chef, where the quality of the ingredients (information) directly impacts the final dish (AI output) [1]. Group 2: Company Insights and Technology - Bocha, a startup based in Hangzhou, provides search services for over 60% of AI applications in China, with a daily API call volume exceeding 30 million, comparable to one-third of Microsoft's Bing [1][2]. - The company employs a dual approach of "model + human" to filter information, using a model to assess credibility before human intervention for verification [4][5]. - Bocha's search engine prioritizes "semantic relevance," allowing it to return results based on the full context of user queries rather than just keywords [6][7]. Group 3: Challenges and Future Outlook - The company faces challenges in building a large-scale index library, with a target of reaching 500 billion indexed items, which requires significant infrastructure and resources [14][15]. - The anticipated future demand for AI search services is expected to exceed human search volumes by 5 to 10 times, indicating a growing need for robust search capabilities in AI applications [14]. - Bocha aims to establish a new content collaboration mechanism that rewards high-quality content providers, moving away from traditional paid ranking systems [9][10].