In the present era, a huge amount of content is produced and published in the digital space. In the meantime, the effectiveness of content, its ability to attract the audience, convey the desired message and create a desired change in their behavior or attitude, is considered as one of the main challenges for businesses, media and educational systems. The goal of this article is to explore the “converging role of artificial intelligence and cognitive sciences in improving the quality and efficiency of content”, “challenges and limitations in the use of artificial intelligence and cognitive science” and “the future of content production in this convergence”. This article uses an analytical-review method to examine and integrate existing research findings in the fields of artificial intelligence, cognitive science and content marketing. The research findings show that artificial intelligence and cognitive science offer powerful tools for better understanding audiences, producing more attractive content and optimizing the process of distributing and evaluating content. Applications of artificial intelligence in this field include “sentiment analysis,” “natural language processing,” and “machine learning.” Cognitive science, by providing models of how the human brain processes information, helps us produce content that more effectively captures the attention of audiences, is recorded in their memory, and leads to desirable changes in their behavior. Among the applications of cognitive science in this field are “attention and perception,” “memory,” “decision making,” and “motivation.” A “cognitive-intelligent fusion model” was also proposed. The results of this study show that the proposed model is a response to the need to go beyond the current applications and move toward a true and intelligent synergy between human understanding and machine capabilities in the field of content production and effectiveness.