Amid escalating environmental challenges and the global pursuit of carbon neutrality, sustainable pathways for platform chemical synthesis are a critical research priority. Acetic acid, a high-demand compound with extensive industrial applications, is still predominantly produced via petroleum-based processes, raising environmental and economic concerns. Considering these challenges, this study explores the biological conversion of biogenic carbon dioxide (CO2) into acetic acid, promoting a circular carbon economy. Specifically, it investigates the role of packing and conductive materials in influencing biological CO2-to-acetic acid conversion, demonstrating that their effects are material-specific, with some enhancing and others inhibiting process performance. To enhance acetogenic activity, 2-bromoethanesulfonic acid was used to inhibit methanogenesis, thereby favoring the Wood-Ljungdahl pathway. The experimental design incorporated a multilevel categorical design (MCD) to assess the individual and combined effects of support materials, namely packing and conductive types, on key process parameters: pH, yield (g acetic acid/g CO2), and efficiency (%). Zero-valent iron was identified as the most effective conductive material, achieving a yield of 0.68 g acetic acid/g CO2 and an efficiency up to 99.8 %. The statistical models developed through MCD exhibited strong predictive performance (R2 > 0.80; prediction errors < 3 %) and were validated experimentally. Furthermore, an artificial neural network (ANN) was trained and integrated with a genetic algorithm (GA) to optimize system performance. The ANN-GA model demonstrated slightly higher predictive accuracy compared to MCD. Overall, this study confirms the significant role of support material selection in enhancing biological CO2 conversion and presents an advanced modeling framework for process optimization.