Core Insights - The local lifestyle market is shifting focus from food delivery to in-store services, with a competitive landscape emerging around consumer decision-making platforms ahead of the National Day holiday [1][10] - Major players like Gaode Map and Baidu Map are launching competing ranking systems based on user movement data to capture consumer interest [1][2] Group 1: Competitive Landscape - Gaode Map launched the "Street Ranking" on September 10, attracting nearly 40 million users on its first day by utilizing travel data and a "foot voting" recommendation system [1] - Baidu Map introduced the "AI Ranking" in collaboration with Meituan and Ctrip, featuring rankings based on user travel data and integrating Dazhong Dianping and Ctrip's reputation rankings [2][8] - Douyin and Xiaohongshu are also entering the ranking space, with Douyin's "Heartbeat Ranking" focusing on user interactions and Xiaohongshu's "Selected Stores" feature leveraging community-generated content [11][12][13] Group 2: Ranking Mechanisms - Baidu Map's "AI Ranking" employs a similar "foot voting" methodology as Gaode, covering categories like food, attractions, hotels, and shopping [8] - The ranking system displays the number of visitors arriving by car or on foot, enhancing transparency [8] - Baidu's lack of a credit system is addressed by adding deep search capabilities, although experts suggest the AI-generated content may have limited practical value [8][10] Group 3: Strategic Approaches - Gaode Map creates a closed-loop ecosystem by allowing users to order directly through Alibaba's platforms, while Baidu adopts a mixed model, directing food orders to Meituan and hotel bookings to Ctrip [8][10] - The competition is not just about immediate traffic but also about establishing authority in consumer decision-making as navigation data becomes crucial [10][14] - The differing strategies reflect the platforms' core identities, with map-based services focusing on data and ecosystem, while content platforms emphasize community engagement and user-generated content [14]