Ai Based Automated Content Marketing Optimizer

The rapid growth of digital marketing has led to an overwhelming volume of content across platforms, making it difficult for businesses to optimize engagement and reach target audiences effectively. Traditional content marketing strategies often rely on manual analysis and static decision- making, which limits scalability and efficiency. This paper proposes an AI Based Automated Content Marketing Optimizer, a system that leverages artificial intelligence techniques such as natural language processing (NLP), machine learning (ML), and data analytics to automate content generation, audience targeting, and performance optimization. The system analyzes user behavior, engagement metrics, and content trends to generate personalized recommendations and dynamically optimize marketing strategies. Experimental evaluation demonstrates improved engagement rates, higher conversion efficiency, and better audience targeting compared to conventional methods.

Keywords: Content Marketing, Artificial Intelligence, NLP, Recommendation Systems, Data Analytics, Personalization

Dr. Gul Shaira Banu Jahangeer, Ankitha G, Jaishree M, Keerthana A, Veena G (2026). Ai Based Automated Content Marketing Optimizer. International Journal of Innovative Research in Multidisciplinary Education & Technology (IJIRMET), 11(3).