Spectral induced polarization (SIP) can provide valuable information about (bio)geochemical processes taking place in the poorly accessible subsurface. The method is sensitive to reactions that alter the solid-water interface. Here, we critically evaluate the effectiveness of SIP to monitor geochemical processes by focusing on a model-supported analysis of cation exchange dynamics in sediments containing organic matter. Organic matter is a crucial substrate for contaminant immobilization that exhibits a strong SIP response. We compare the SIP response of columns during the injection of cations (Na⁺, Ca²⁺ and Zn²⁺) with different sorption strengths. We assess whether a change in surface ion mobility due to cation exchange is reflected by an increasing (Na⁺, high surface mobility) or decreasing (Zn²⁺, low surface mobility) imaginary conductivity. Our work demonstrates how we can qualitatively monitor reactive solute fronts using (S)IP, thus, helping to target sampling events. Furthermore, we explore the quantitative value of SIP data sets in constraining reactive transport models. We use the imaginary conductivity as a proxy for sorbed concentrations by separating the contributions of ion exchange and bulk electrical conductivity to changes in imaginary conductivity. By integrating a Bayesian parameter-estimation scheme, we test whether the use of SIP can replace geochemical sampling and improve reaction-parameter estimates. While inverting SIP-data alone does not yield better results than breakthrough samples, their integration reduces the uncertainty of some parameters, highlighting their potential value. Finally, we discuss opportunities and limitations for reaction monitoring using SIP and provide an outlook for its successful application by non-geophysicists.