Neuro-AI: Enhancing Digital Growth Metrics through Social Media Automation

Abstract The introduction of social media platforms transformed the way individuals and businesses engage, communicate, and advertise their goods and services. Understanding and anticipating the growth metrics of online content is critical for keeping a competitive edge in this continuously developing digital market. Using Artificial Intelligence (AI) based on neurological patterns, this article proposes a novel technique to predicting digital growth indicators such as post engagement, reach, and user interactions. The discussed research topics are implemented using a provided approach, and the findings are discussed, including roughly 91% correctly predicted hashtags, 0.7 R 2 scores, and an acceptance rate of approximately 78% by various influencers for the created post content. For these results, I collaborated with ten influencers ranging in size from small to medium who were willing to work on this method in private because data cannot be disclosed publicly.