The Business Storytelling Podcast
681: How to scale AI in content strategy
Aug 23, 2024
Jeff Coyle, Co-founder of MarketMuse.com, delves into the evolving landscape of AI in content strategy. He discusses the importance of maintaining high standards amidst the challenges of AI-generated content. Jeff emphasizes a balanced approach, blending technology with the human touch to enhance storytelling while avoiding generic outputs. He also highlights the necessity for companies to regularly reassess their tools, advocating for personalized strategies that align with business goals and audience expectations.
24:13
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Quick takeaways
- To effectively scale AI in content strategy, it's essential to blend traditional editing processes with AI tools to enhance content quality.
- Employing business-specific data in AI-driven content creation can significantly boost relevancy and effectiveness while preventing generic outputs.
Deep dives
Understanding Content Quality in AI Marketing
Content quality is a critical concern in the realm of AI-driven marketing, as many creators tend to produce subpar content by skipping essential editorial processes. It is important to focus on the foundational aspects of content creation rather than rushing from idea generation directly to drafting. Jeff Coyle emphasizes the necessity of retaining elements from traditional editing and storytelling to ensure that the produced content effectively represents the brand and engages the audience. By leveraging AI for brainstorming and initial drafting while still employing rigorous review processes, marketers can avoid creating 'crap' and instead develop high-quality material that resonates with consumers.
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