--- title: "Doubao is making a strong push towards the C-end" type: "News" locale: "en" url: "https://longbridge.com/en/news/273223147.md" description: "Entering more scenarios" datetime: "2026-01-21T11:37:49.000Z" locales: - [zh-CN](https://longbridge.com/zh-CN/news/273223147.md) - [en](https://longbridge.com/en/news/273223147.md) - [zh-HK](https://longbridge.com/zh-HK/news/273223147.md) --- > Supported Languages: [简体中文](https://longbridge.com/zh-CN/news/273223147.md) | [繁體中文](https://longbridge.com/zh-HK/news/273223147.md) # Doubao is making a strong push towards the C-end Author | Wang Xiaojun Editor | Huang Yu In order to capture users, AI to C applications are accelerating their integration into more and more life scenarios. Recently, on short video platforms, many users have attempted to have video conversations with Doubao and asked for outfit suggestions, resulting in numerous jokes about "rolling up pant legs." Based on the video call function, Doubao officially "joined" the Pudong Art Museum on January 20, becoming the official AI guide for two international exhibitions at the museum. This is also the first time an AI product has become an official guiding tool in an art museum. During the exhibition, visitors can obtain professional explanations for specific exhibits at any time through the "video call" function or by asking questions via photos in the Doubao App. It is not difficult to see that Doubao has become one of the most actively integrated native AI applications in people's daily life scenarios, and the results are quite good. CICC cited market data showing that the daily active user count (DAU) of the domestic Doubao App has surpassed 100 million, leading other competitors. Of course, aiming for the next generation of super entry points, Doubao is not the only one making efforts. Since last year, various companies have been accelerating their layout of AI to C products, and competition in the industry has clearly intensified. Currently, the competition among major internet companies in the AI to C track has shown differentiated layouts. ByteDance, leveraging its content and traffic advantages, allows users to directly send content interacted with Doubao to platforms like Douyin, further promoting user growth. When users raise consumption-related questions, Doubao can recommend specific products and guide them to purchase. This positioning of "video entertainment intelligent agent entry" aligns with ByteDance's content ecosystem advantages. The Alibaba ecosystem has formed a differentiated product matrix with "general coverage + vertical deep cultivation." Recently, the latest version of the Qianwen APP has fully integrated Alibaba ecosystem services such as Taobao, Alipay, and Fliggy, achieving AI shopping functions like ordering takeout and booking flights, aiming to create the best personal AI assistant. Among vertical fields, Aifu, positioned as an AI health assistant, is a representative. Tencent, on the other hand, relies on the WeChat social ecosystem to create Yuanbao as a "social intelligent agent entry." Tencent Yuanbao is backed by the WeChat acquaintance network and extends to "office intelligent agents" and "personal knowledge intelligent agents." From the latest actions of various companies at the beginning of the year, 2026 seems to be becoming the "year of the general AI entry," with each company committed to making AI to C applications the super entry point for people's shopping, entertainment, social, and other life needs. Analyst Zhang Heng from Guosen Securities believes that AI is reshaping the form of user entry points, and the changes in entry point forms are triggering a fundamental revolution in the internet traffic distribution mechanism. The traditional search engine optimization (SEO) era is coming to an end, and the era of generative engine optimization (GEO) is officially beginning. He further stated in the research report that in the past, users' search behaviors relied on "keyword matching - clicking links - self-filtering," while now AI search is centered on natural language, allowing users to simply ask questions, and the system can automatically understand intent, aggregate information, and generate a unique structured answer. This transformation has given rise to the emergence of GEO, which essentially no longer pursues search rankings but competes for the "citation rate" and "answer share" of AI models by optimizing the structure and authority of data Under this model, industry insiders predict that the future will belong to those who control the AI entry points. This shift is not only an upgrade in product form but also a reconstruction of the entire logic of internet traffic distribution. In other words, the competition for AI to C applications is essentially a competition to become the "super entry point" of users' digital lives. The value of this entry point lies in whether it can become the first touchpoint for users to solve their problems. In this model, the deep binding of application scenarios is key. Whoever can combine AI capabilities with users' high-frequency essential scenarios will seize the initiative. Technical barriers and data closed loops form a moat. Data collected through multi-scenario applications can feed back into model optimization, creating a positive cycle of "data-model-scenario." This determines that leading players may continue to maintain their leading position in the industry landscape. The ability to integrate ecosystems determines the ceiling. A true super entry point needs to integrate various services to form a complete experience loop. Although AI to C applications are developing rapidly, they still face multiple challenges, such as the difficulty of establishing standard interfaces across intelligent agents among fiercely competitive internet giants; unclear invocation and commission relationships between intelligent agents; and unresolved issues regarding data permissions and security risks. Additionally, the exploration of business models is still in its early stages. Major internet companies generally focus on competing for users and refining experiences, without clear short-term monetization goals. 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