<p>Determining suitable habitats using a species distribution modeling approach is a suitable tool for predicting habitat preferences of marine organisms, especially commercial species, for long-term conservation and reliable management predictions. Here, the habitat preferences of the gastropod <i>Babylonia spirata</i> were predicted using the MaxEnt modeling technique. Because of the small sample size (12 occurrence records), two models were developed: a 14-variable model and a 4-variable model. Training AUC values for the two models were 0.7969 (± 0.224) and 0.7338 (± 0.1241), which indicate good to acceptable predictive performance. Accuracy in LOOCV was 75%, and the CBI was 0.82, indicating that the models were valid despite the small sample size. For the 14-variable model, nitrite (23.17%), total suspended solids (TSS) (9.22%), pH (6.50%), and chlorophyll a (6.34%) were the significant predictors. The 4-variable model indicated that TSS (29.56%) and nitrite (25.33%) had the highest contributions. Both models identified similar optimal conditions for habitat: Chl-a ~ 0.48 µg/l; NO₂⁻ ~ 0.104 µM/l; pH ~ 8.12; and TSS ~ 19.98 mg/l. The species had a higher percentage of medium-suitability environments (58–59%) than either low-suitability or unsuitability areas. Suitability maps in both models indicated stations 9 to 12 as the most suitable habitats. Maps of habitat preferences for <i>B. spirata</i> indicated fine-scale habitat heterogeneity, suggesting a significant role of environmental conditions in forming suitable habitats for the species. Given the high economic importance and high harvesting rates for this species, this study provides ecological baseline information that is useful for monitoring, resource management, and conservation planning in the face of increasing harvesting pressure and environmental change in the Oman Sea.</p>