In many fisheries, particularly those with limited data, CPUE is not a good indicator of abundance due to multiple operational factors that influence variability in catchability. In order to estimate an annual CPUE abundance signal of a data-limited fishery resource, in this paper we analyze the yellownose skate (Zearajachilensis) accompanying fauna data collected in the common hake (Merluccius gayi) hydroacoustic surveys (1993-2019) off south-central Chile (29° 10’ S - 42° 10’ S). Operational information is analyzed by means of Generalized Additive Models (GAM) and Generalized Linear Models (GLM). The results indicate that Z. chilensis presents notable density zones and a higher frequency of presence of this species between 300 m and 425 m depth. The CPUE model showed that depth is the most important fixed effect in its variability, while the year effect proved to be determinant in a binomial model of the proportion of positive hauls. The study suggests that this type of indices be considered in the management of this fishery, either in stock assessment models, or as empirical indices for the annual adjustment of catches or fishing effort.