Cultural ecosystem services (CES) play a significant role in illustrating the reciprocal interaction between ecosystems and human well-being. In the context of rapid social and economic development, the relationship between ecosystems and multiculturalism is constantly weakened, and in-depth study of CES connotation theory is the basic guarantee for promoting the optimal management of ecosystems and maintaining sustainable social and economic development. Taking Yulin City as a case study, situated on the Loess Plateau in northern Shaanxi. Accompanied by the complex geological terrain and diverse climate changes in the region, Yulin City is facing serious problems such as backward economic development, serious soil erosion and ecological environment deterioration, and has become one of the typical ecologically fragile and poverty-stricken regions in China. This research utilized social media data to identify the points of CES, quantitatively assess the CES distribution suitability, and explore its spatial distribution and agglomeration characteristics based on MaxEnt modeling. Jackknife method was also applied to test the importance of environmental features and the response changes of CES. The results show that: ① The spatial distribution of various CES is uneven, and the spatial adaptation effect is significantly different. Spatial adaptation was the highest for aesthetics and worst for education. High-appropriate areas are concentrated in the city centre and along the roads. The spatial agglomeration characteristics of the subcategories of CES share the same characteristics as the total CES and each has its own characteristics. ② The cumulative impact of environmental features is in the following order: distance from road> land use> distance from water>NDVI> DEM>slope> distance from town center. The distance from road is the dominant feature affecting the amount of CES spatial distribution appropriateness. ③ There are differences in the response intervals of various CES to environmental features. Specifically, when within a 1 km radius of the road, within a 2 km radius of water, and when the land use is construction, the spatial distribution appropriateness of CES predominantly falls within the high range. MaxEnt model is an important tool to reveal the spatial differentiation law of CES, and the evaluation results provide effective decision-making suggestions for the improvement of CES spatial layout and environmental features under the guidance of planning. The subsequent phase of research could involve integrating the participatory mapping evaluation approach, which incorporates human subjective perceptions into CES assessment. Enabling a rational assessment of CES through a combination of quantitative methods of modelling and qualitative data from surveys.