AI shouldn't replace your voice; it should be treated like an intern that handles repetitive, time-consuming tasks. Use it to create outlines or summarize notes, then inject your unique personality, stories, and humor. This combines AI's efficiency with your essential human connection.

Amy Porterfield dictates her personal stories to ChatGPT, then prompts it to extract the key parts into a concise draft. This uses AI as a partner for clarity and structure while preserving her authentic voice, avoiding soulless, AI-generated content.

A powerful workflow is to explicitly instruct your AI to act as a collaborative thinking partner—asking questions and organizing thoughts—while strictly forbidding it from creating final artifacts. This separates the crucial thinking phase from the generative phase, leading to better outcomes.

Every customer call is a potential blog post. An AI workflow systematically redacts all sensitive and identifying information from call transcripts, then rewrites the core use-case discussion into an SEO-optimized article. This creates a scalable content machine fueled by real customer problems, generating thousands of posts.

Leverage AI tools to process transcripts from long-form content like webinars or podcasts. Prompt the AI to extract key takeaways and tactical advice, which can be quickly turned into valuable email sends. This creates an efficient content engine and drives traffic back to original assets.

To create resonant content, move beyond guessing customer problems. Analyze transcripts of past sales calls with an AI tool to identify recurring pain points, common questions, and the exact language your audience uses to describe their challenges.

The most effective way to use AI is not for initial research but for synthesis. After you've gathered and vetted high-quality sources, feed them to an AI to identify common themes, find gaps, and pinpoint outliers. This dramatically speeds up analysis without sacrificing quality.

Identify an expert who hasn't written a book on a specific topic. Train an AI on their entire public corpus of interviews, podcasts, and articles. Then, prompt it to structure and synthesize that knowledge into the book they might have written, complete with their unique frameworks and quotes.

Don't use AI to generate generic thought leadership, which often just regurgitates existing content. The real power is using AI as a 'steroid' for your own ideas. Architect the core content yourself, then use AI to turbocharge research and data integration to make it 10x better.