This paper explores strategies for creating rural homestay landscapes based on the characteristics of BIM technology, simulating the construction process of integrating homestay structures with the surrounding landscape environment. It offers new insights for the healthy and sustainable development of rural homestay landscapes. Subsequently, the design outcomes of rural homestays under architectural-environmental integration are analyzed from both landscape aesthetics and spatial adaptability perspectives. It then proposes a Cuckoo Search (CS) algorithm-optimized BP neural network model (CS-BP) for predicting rural homestay environmental suitability to analyze audience satisfaction. Results indicate that spatial adaptability of rural homestays increases over time, particularly with highly correlated ecological landscape factors. Therefore, when designing rural homestays under conditions of building-environment integration, significant attention should be paid to developing local ecological landscapes. The minimal discrepancy between the model-predicted user satisfaction and actual values demonstrates the applicability of this model in rural homestay design.
