 This paper proposes a new method called Multimodal Enhancement Fusion Index, MEFI, to enhance the interpretative value of multimodal point clouds. MEFI is based on density estimation and can be used to express the intricacy of different modalities within a point cloud. This allows for visualization of the data sources through a color-coded heat map. Additionally, a semantic layer is added to provide qualitative information about the digitization process. Finally, a customized 3D viewer is presented to explore this enhanced multimodal representation. This article was authored by Anthony Pamart, Violetta Burgell, Livio De Luca, and others.