Ai-Driven Social Media Content Management: Frameworks, Tools, and Best Practices

Artificial intelligence (AI) is transforming how organizations plan, create, and deliver social media content across increasingly complex digital ecosystems. By integrating machine learning and automation into workflows, it enables more efficient content production, smarter scheduling, and continuous performance optimization. These technologies also support deeper audience insights, allowing for more precise targeting and personalized communication at scale. At the same time, they raise important considerations around authenticity, as brands balance automated processes with the need for genuine, human-centered engagement. As a result, AI is not only enhancing operational efficiency but also redefining strategic approaches to content, audience relationships, and digital presence. AI-Driven Social Media Content Management: Frameworks, Tools, and Best Practices dives into the exciting new role of AI in managing social media content across various platforms. It blends theoretical insights, research findings, frameworks, and real-world case studies to show how AI technologies enhance the planning, creation, curation, scheduling, distribution, and optimization of social media content. Covering topics such perceived authenticity, performance optimization, and precision audience targeting, this book is an excellent resource for digital marketing professionals, social media managers, brand strategists, academicians, graduate and post-graduate students, technology consultants, product managers, and more.