AI-Driven Insights into Neuromarketing and Social Media Engagement for Enhancing Brand Loyalty

Neuromarketing is the combination of artificial intelligence and cognitive and emotional analytics, which is used to analyze consumer involvement and brand loyalty very accurately. A neuromarketing system based on AI, using a Cognitive-Affective Fusion Network (CAFN) and a Brand Engagement Prediction Model (BEPM) to interpret emotional, behavioral, and sentiment-based data on social media platforms. The system proposed is good at breaking down subconscious consumer reactions, which allows one to estimate brand loyalty indices. Experimental analysis shows that the model has 96.2% accuracy, 94.8% precision, 95.6% F1-score, and 93.9% recall in engagement prediction, with a latency of response cut down by 12% and emotional alignment accuracy improved by 18% compared to the current systems. These findings affirm the ability of the model to describe real-time emotional and behavioral patterns. The results indicate that AIpowered neuromarketing has the potential to improve brandconsumer relationship strategies, which can provide a scalable and smart way to approach digital marketing analytics and consumer emotion modeling in the future.