Personalised AI can transform content creation by analysing real-time data from social media activity and user-specific buying behaviours, allowing marketers to create highly tailored content for specific groups. This can lead to enhanced SEO, overcome writer’s block, and can prove to be incredibly cost-effective. However, while AI brings valuable efficiencies to content creation, it also poses some challenges that make its implementation more complex. AI generated content can lack the emotional depth that human writers bring, which can lead to messaging that feels impersonal. Additionally, AI is highly data-dependent; if it’s trained on outdated data, it may produce content that is not only irrelevant but potentially misleading, creating quality concerns.

In this session, we’ll explore practical strategies for tackling these issues, focusing on how to:

• Ensure accuracy and relevance with human supervision: Discover why human oversight is non-negotiable for maintaining high-quality, impactful content
• Train AI on brand assets: Learn how to “teach” AI your unique brand voice to ensure consistency.·
• Establish style guides and “Do Not Use” lists: Implement clear guidelines to control AI output and maintain brand integrity