Background The low utilization of green leafy vegetables (GLVs) makes them a nutrient-dense food that is frequently overlooked in the food system. Their integration into baked products may confer nutritional and organizational benefits. However, few studies have addressed their impact on bakery formulations. Objectives This systematic review aimed to jointly appraise the nutritional enrichment and sensory properties of bakery products enhanced with the incorporation of underutilized GLVs, and to highlight their potential new food and industrial applications. Methods Systematic searches were conducted in scientific databases, PubMed, Scopus, Google Scholar, and Web of Science, according to the PRISMA guidelines. Only primary peer-reviewed journal articles that focused on assessing the nutritional profile, sensory attributes, and technological feasibility of incorporating GLVs into bakery products were selected for this review. We documented the micronutrient content, bioactive components, consumer acceptability, and technological challenges. Results One significant difference found in food products was that GLV incorporation increased essential nutrients. Bioactive compounds from GLVs offer health benefits including improved glycemic control and reduced oxidative stress. However, sensory acceptability remains an issue, with bitterness and texture as main obstacles. Consumer studies show acceptable GLV levels depend on species and processing methods. Techniques such as dehydration and fermentation mitigate unwanted sensory effects. Conclusions As we incorporate more underutilised green leafy vegetables in bakery products, it becomes increasingly evident that they have substantial potential to provide significant nutritional and functional benefits to humans. Future research should address the fine-tuning of formulations to maximize benefits while meeting consumer preferences and ensuring commercial feasibility on a large scale in the food industry. Registration This systematic review was registered with the Open Science Framework (OSF). DOI: https://doi.org/10.17605/OSF.IO/7YHDZ.
