The Rendering Problem in Brand Perception: From Genetic Expression to the Perception Cloud

ABSTRACT Brand perception is constructed by audiences, not contained in a brand's design artefacts, yet branding theory lacks a structural account of why one fixed brand specification yields divergent perceptions across audiences and over time. This paper identifies the rendering problem —the pattern in which a bounded specification is rendered into a far richer implementation that produces emergent phenomena the specification does not contain—and applies it to brand perception, where an emission policy is rendered through a heterogeneous field of observers into perception clouds; biology and organizations serve as supporting comparisons. The framework comprises structural definitions, six propositions and a measurement design that gives each proposition named variables and a falsification condition against an explicit noise floor, with the cohort pair as the unit of analysis for Propositions 2–4 and separate units and designs for the other three. It supplies the structural mechanism that brand‐equity research leaves implicit, extends Luhmann's expectation–structure account by making the specification–implementation asymmetry measurable, and reframes artificial intelligence as an implementation accelerant that raises the value of specification quality. The propositions are operationalized but not yet confirmed; a pre‐registered multi‐brand study and cross‐domain tests follow.