<![CDATA[The need for rapid and persuasive digital promotional content has increased, yet manual copywriting text generation often consumed time and exhibited inconsistent quality. This study proposed a solution by utilizing Natural Language Processing (NLP) technology to automatically generate copywriting texts. The utilized approach focused on applying the AIDA (Attention, Interest, Desire, Action) formula to ensure the generated texts remained structured and possessed high marketing appeal. An artificial intelligence-based model was tested to produce text outputs based on specific parameters and keywords. The testing results indicated that the model successfully generated promotional scripts that accurately followed the AIDA structure, possessed natural grammar, and were highly relevant to the offered product context. The conclusion of this study affirmed that the utilization of natural language processing in digital content creation proved effective in improving production time efficiency while maintaining the persuasive quality of the texts. This technology provided a significant contribution to accelerating the digital marketing script production workflow.]]>
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