Distributed species representations may have applications for crystal structure assignment by analogy through ionic substitutions, as pairwise similarity values can be derived from the vectors using distance or similarity measures. Alternatively, similarity measures can be applied to compositional feature vectors derived from these representations to suggest what known materials are similar to hypothetical compositions as part of synthesisability models. Finally, we note that such representations are not limited to compositional (structure free) models, but could be used, for example, to initialise node vectors on graph-based models of materials structure and properties.