Objects we encounter in our real world vary in their degree of importance to us. While some are more immediately behaviorally relevant than others, their ultimate relevance is determined by the degree to which they can directly or indirectly affect our cognition and behavior. We term this concept “representational relevance” and propose that it may explain other properties of our semantic knowledge and prototypicality effects that are thought to underlie categorization behavior. This project aims to develop a robust measure of representational relevance that also correlates with established concepts and measures like prototypicality, familiarity, word frequency, age of acquisition, and lexical decision times. To achieve this, we developed a novel 'Family Feud' task in which we ask participants to rank object words by how often they believe other people would spontaneously name them. For example, for the words “lion” and “burrito”, which would be spontaneously named more frequently? The task aims to capture shared cognitive perceptions of representational relevance, thus avoiding naming frequency biases. We expect this measure to offer a deeper understanding of representational relevance as a distinct construct, including its potential overlap with prototypicality and its correlation with existing measures, such as lexical decision times. Finally, we aim to verify the value of this measure by identifying that the strength of cortical representations correlates more strongly with representational relevance than other measures. These findings aim to provide a framework for studying the cognitive processes underlying representational relevance, with potential applications across various domains of psychology and cognitive science.