Deterministic fractals have long been considered abstract objects with unique structural properties, and their experimental realization by systematic molecular design has been achieved only recently. In this contribution, we demonstrate how the coarse-grained Monte Carlo modeling can be used to predict and optimize the formation of the fractal Sierpinśki-type triangular metal−organic precursors on solid substrates. To that end, a mixture of suitably functionalized polyaromatics differing in size/ shape and bivalent metal atoms adsorbed on a (111) crystalline surface was modeled. These theoretical investigations focused on the surface-assisted self-assembly of labile precursor architectures preceding the covalent linkage of halogenated aryl monomers in Ullmann-type coupling reactions. Our calculations aimed at the identification of all of the isomers from a large group of candidate units capable of forming fractal triangles and classification of these superstructures. With the collected data, it was possible to extract common molecular features, which made the diverse building blocks able to create topologically identical self-assembled constructs. As a result, we formulated a set of elementary prerequirements that have to be met by an arbitrary functional unit to create the Sierpinśki triangles sustained by 2-fold metal−organic nodes (and subsequent covalent bonds). Our findings are quite general and can be applied to various molecular tectons equipped with active groups providing directional interactions of other types (e.g., hydrogen bonding). This information can be helpful in the design and fabrication of new persistent fractal macromolecules with yet unexplored physicochemical properties.