We have generated and verified a transferable neural network based potential that is capable of comprehensive sampling of germanium distributions in germanosilicate zeolites across a broad range of framework topologies and Si/Ge ratios. The potential was applied to determine the preferential location of germanium at ambient conditions in five D4R-containing zeolites (UTL, BEC, UOV, IWW and * CTH), utilizing a global structure search method: basin-hopping Monte Carlo. The extensive sampling of the lowenergy germanium distributions showed that the main determinant of the distribution stability is the degree of germanium clustering, which typically leads to phase-separation into Ge-rich and Ge-poor parts of the framework at high Ge loadings, largely irrespective of the specific structural unit. At low to medium Ge loadings (approx. Si/Ge ≥ 5) the D4R units clearly stand out as the "nucleation" centers for the germanium clustering, which results in a strong preference of germanium to occupy the D4R units at such Si/Ge ratios. Yet, the consequence of a strong tendency of germanium to cluster is the significant asymmetry in D4R occupations at all Ge loadings, i.e., while some of the D4R units are Ge-rich, others remain Ge-poor across a range of Si/Ge ratios. These general trends are mildly modulated by the topological effects with, e.g., UTL exhibiting a significant preference for D4R occupation by germanium, while in UOV the germanium occupation of D4R unit is barely preferred. Our calculations hint at some synthesis design handles that may be exploited in selective hydrolysis, e.g., the introduction of crystallographically inequivalent D4R units, which are observed to result in markedly different Ge occupations. These intrinsic germanium distribution trends are able to provide qualitative explanations for some important aspects observed in experiments, e.g., a difficulty to delaminate some topologies (possibly due to existing Si-O-Si links in D4R units connecting the layers), the formation of the ADOR-based daughter zeolites that are composed of a mixture of different layer connections (possibly due to the asymmetry of D4R Ge-occupations) and the formation of narrowly-distributed mesoporosity upon partial hydrolysis (possibly due to a presence of Ge-rich rods/planes at low Si/Ge ratios). Hence, we believe, that this model will allow for rapid screening of zeolite topologies for targeted transformations, such as the ADOR strategy .