Barbero-Álvarez, Miguel AntonioPeña, Javier RodríguezFerrero, Cristian OlmedoAlonso, Marina A. ÁlvarezCampana, StefanoFerdani, DanieleGraf, HolgerGuidi, GabrieleHegarty, ZackaryPescarin, SofiaRemondino, Fabio2025-09-052025-09-052025978-3-03868-277-6https://doi.org/10.2312/dh.20253085https://diglib.eg.org/handle/10.2312/dh20253085This work presents a study on blending the latest artificial intelligence technologies with geospatial data for managing and visualizing Spain's cultural heritage. The goal is to achieve a new stable simulation using multimodal data that serves as a foundation for future advancements in AI-driven cultural heritage 3D modeling technology. Fundamentally, the work here exposed is a proof of concept to assess whether the exploration and visualization of the geospatial information related to Spain's cultural heritage can rely on AI concepts to improve its processing and understanding. This will lay ground for enhancing the visitor experience at heritage sites within their contextual environment. The application of the proposed methodology to a real-world case, such as the Monastery of El Escorial, has demonstrated the potential of generative AI in the management and dissemination of cultural heritage resources. This method is innovative because it proposes a new approach in which the combination of different AI-generated results serves as the starting point for creating 3D models of buildings, which can be manually refined aftwerwards, instead of the more costly manual acquisition and modelling from scratch. The approach integrates multimodal sources of graphical information, including videos, photographs, and text, to be blended with geospatial data. It is concluded that design methods integrating AI techniques and geospatial data add quality to working models, given that buildings are inherently tied to their spatial context. The addition of these properties allows for a more precise and detailed digital representation. Furthermore, these models can be visualized in web applications, thus shedding light on AI as a valuable tool to be added to the already existing modelling solutions in digital cultural heritage.Attribution 4.0 International License10.2312/dh.2025308510 pages