Polycyclic aromatic molecules are often similarly approximately symmetric, though with their diversity lack a similar common coordinate set which can be referenced. In aromatic molecules, chemical and electronic modification, steric demand and mechanical manipulation can be used to disrupt planarity or symmetry; this distortion is usually described in qualitative terms. The quantification of distortional effect usually relies on the reporting of individual bond torsions and deviations from mean planes, measures of the global distortion attributable to a target molecule, but these numbers can quickly become unwieldy in large examples or conflate multiple structural relationships. Normal-coordinate studies which require calculated symmetry-gated vector tables are not readily available for a generic component, which may only have a few reported examples. Similarly, results generated without shared coordinates and vector tables are difficult to compare. Conformation in the solid state can be a particularly confounding problem for ab initio analysis, even for small molecules, given the multiple demands that inform shape upon crystallization. A mechanism to relate chemical structure to measured atom positions in a way which is quantitative, extensible, and predictive -while still being generally approachable -would allow a shared, unambiguous language to discuss shape. We present our approach to that parameterization here.