This blog post argues that AI-generated marketing content often lacks originality and impact because it relies on generic templates and buzzwords. The author advocates for creating unique content by leveraging personal experience, company data (like sales call transcripts and case studies), and original research. He provides a step-by-step guide on customizing AI tools like ChatGPT to reflect one's unique perspective and expertise, emphasizing the importance of using specific examples and avoiding marketing jargon. The process includes defining one's context, feeding the AI with relevant company data, testing the AI's output rigorously, and focusing on creating content that offers genuinely novel insights and actionable advice. Finally, he emphasizes quality control through evaluating the content's uniqueness, credibility, and practical value.
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Stop Blending In: Creating Content that Actually Matters
Last month, a business leader asked me why every vendor's AI content sounds identical. She's right. Most product marketers have defaulted to letting ChatGPT write their content. The result? A sea of bland posts about "leveraging AI capabilities," "driving digital transformation," and “delving into topics.”
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