Core Insights - The article highlights the shift from traditional search engines and social media to AI search as the new battleground for internet traffic by 2025 [1][12] User Behavior Shift - Traditional search involves users inputting keywords and sifting through links, while AI search allows users to ask questions in natural language, receiving summarized and analyzed answers [3] - This transition is likened to having an expert read and summarize information for the user, leading to a decrease in users visiting search result pages [3] Traffic Entry Reconstruction - In traditional search, traffic entry is determined by the ranking of search results, whereas in AI search, it is based on the answers provided by AI [5] - Future traffic metrics will focus on "the number of times an answer is cited" rather than "click-through rates" [6] Commercial Value of AI Search - AI search is positioned as the primary traffic battleground due to its direct influence on user choices [7] - For instance, if a user asks for recommendations on air purifiers and a specific brand is mentioned by AI, it often leads to immediate purchases, indicating that AI recommendations serve as both a reputation and sales entry point [8] Practical Exploration of AIEO - In China, Yuanjubian (Shanghai) Technology Co., Ltd. has launched the Juba AIEO intelligent system, which aims to help businesses secure a position in AI search answer entries [10] - The technology focuses on credibility anchoring, user intent prediction, semantic association adaptation, and content value reconstruction to enhance brand visibility in AI dialogues [11] Conclusion - AI search is set to redefine how information is accessed and consumer decisions are made, shifting from link-based judgments to direct AI-provided answers [12] - The competition among brands will evolve from advertising and search rankings to who can become the default answer recommended by AI [14]