The present paper demonstrates the usability of GEO for quantifying and analysing geometric errors in approximate molecular structures. The use of GEO in place of GEO in tandem with semiexperimental geometries greatly simplifies the whole analysis and enables us to bypass a need for using the input from expensive correlated wavefunction calculations, e.g., CCSD(T). With the GEO analysis, we identify patterns in geometric performance across different classes of approximations and basis sets. The focus here is on main-group structures, but the developed tools are widely applicable and can be used in a straightforward way to quantify and analyse geometric errors for any molecule and any approximation in simple and chemically intuitive terms.