The Indoor signal coverage of 4G and 5G networks has become an important link to improve user experience. Traditional indoor distributed systems (IDS) face challenges of high complexity in multi-network environments, especially in resource allocation and cost control. Therefore, a co-point deployment method based on intelligent optimization algorithm is proposed to effectively solve the problem of co-coverage of 5G and 4G indoor signals. This method not only improves the deployment efficiency but also optimizes the system performance by building a mathematical model of the indoor distributed system and designing an intelligent optimization algorithm. The experimental results show that the method can significantly improve the indoor network coverage quality and reduce the complexity and deployment cost of the system.