Artificial Intelligence Based Brand Recall: A Perceptual Study of Consumers

Abstract

In the era of rapidly evolving technology, the influence of Artificial Intelligence (AI) on consumer behavior and brand recall has become a significant area of interest for marketers and researchers alike. This study delves into the perceptual aspects of brand recall among consumers in the context of AI interventions. Using a mixed-methods approach, both quantitative and qualitative data were collected to examine the impact of AI-driven strategies on brand recognition and retention. The research methodology involved surveys administered to a diverse sample of consumers to provide nuanced insights into their perceptual experiences. Through statistical analysis and thematic coding, the study uncovered several key findings. Firstly, AI-powered personalized recommendations significantly enhance brand recall, revealing the connection between consumers and brands. Secondly, the level of trust in AI influences consumer perceptions of brand credibility and recall accuracy. Thirdly, the user experience design of AI interfaces plays a pivotal role in shaping brand associations and recall effectiveness. Furthermore, the study highlights the importance of transparency and ethical considerations in AI implementations to mitigate concerns regarding privacy and manipulation. It underscores the need for marketers to strike a balance between leveraging AI for personalized engagement and respecting consumer autonomy. By understanding the underlying mechanisms of AI- mediated brand recall, businesses can devise more effective strategies to engage and retain consumers in an increasingly AI-driven marketplace. This research offers practical implications for marketers seeking to harness AI to optimize brand engagement and foster long-term consumer relationships in the digital age.