The integration of information technologies such as artificial intelligence (AI) and big data has profoundly reshaped the structure and order of rural governance, providing a practical foundation for the construction of social governance communities. Based on a case study of Deqing County’s “Digital Rural One Map” platform in Zhejiang Province, this paper finds that government large-scale models leverage technological advantages such as intelligent integration, dynamic response, and multimodal interaction to achieve bottom-up consolidation of rural organizations, resources, interests, culture, and risk-related elements. Meanwhile, the platform’s connectivity and interactive features enhance the participatory capacity of various rural actors, enabling top-down digital empowerment. Consequently, a governance community landscape emerges, characterized by multi-stakeholder interaction, dynamic resource allocation, precise demand targeting, cultural value enhancement, and risk responsibility implementation. In the formation and operation of rural governance communities, government large-scale models demonstrate a driving logic of “integrated empowerment”, promoting a transition in governance structure from “mechanical aggregation” to an “organic community” through bidirectional interaction between platform-based integration and digital empowerment. Guided by this logic, specific practical pathways can be obtained to facilitate the formation of multidimensional communities—organizational, industrial, interest-based, cultural, and resilience-oriented—enabling the full realization of a governance community efficacy characterized by “co-construction by stakeholders, co-governance of resources, sharing of benefits, consensus on culture, and sharing of risks”. This provides theoretical references and practical guidance for optimizing rural governance systems and fostering an integrated, collaborative rural governance framework through government large-scale models.