CSP can be applied prior to synthesis; hypothetical molecules can be assessed via CSP to decide whether they are worth synthesizing. For known molecules, CSP can help anticipate polymorphism, beyond what has been experimentally observed to-date. Thus, a CSP landscape is a powerful tool for anticipating the crystal structures of as-yet unsynthesized molecules and predicting possible polymorphic forms of known molecules. The field has seen rapid development in methods used for structural exploration and energy ranking, such that CSP has been succesfully applied in a range of applications, such as polymorph screening of active pharmaceutical ingredients, discovery of photocatalysts and porous materials. The present work aims to assess the performance of CSP for molecular organic EMs. Previous studies have demonstrated successful CSP methodologies for individual systems; for example, Bier et al. demonstrated a successful CSP methdology using a genetic algoritm for structure generation combined with solid state density functional theory (DFT) energy ranking which reproduced the known crystal structures of 2,4,6-trinitrobenzene-1,3,5-triamine (TATB) and 2,4,6-trinitrobenzene-1,3-diamine (DATB). Here, we validate the performance of a quasi-random structure search combined with an anisotropic atom-atom force field, as well as DFT reranking, for CSP on a broader set of ten EMs to assess the general applicability of CSP in the area of EMs. We also evaluate the sensitivity of force field predictions to the parameter set and electronic structure calculation from which electrostatics are derived.