The Agents of Change Digital Marketing Podcast · Rich Brooks | Interviews with Marketing Experts | SEO | Social Media Market

How to Streamline Your Podcast Workflow with Rich Brooks

September 17, 2025·19 min·1 clip

Rich Brooks gets 25-30 guest requests weekly but only accepts 1 in 50, using Text Expander to manage rejection.

This solo episode of the Agents of Change podcast features host Rich Brooks sharing his refined workflow for producing 600 episodes over 12 years. Brooks, the founder of Flight New Media, details how he leverages AI and automation to manage his podcast efficiently. He explains his system for handling a high volume of guest requests, which averages 25 to 30 per week for a single slot. He uses Text Expander to send automated replies, directing potential guests to a form that his assistant, who is also his girlfriend, vets. His assistant reviews submissions, listens to interview samples, and creates a shortlist for Brooks to approve. Approved guests are scheduled for a 15-minute pre-interview chat via a Calendly link. Brooks uses Fathom, an AI note-taking tool, during these calls to generate summaries and transcripts due to his self-described terrible memory. He states these pre-interviews are primarily for building rapport and vetting topics, and he rejects guests only if their proposed marketing tactics seem unethical. For show preparation, he uploads the pre-interview transcript to ChatGPT or Claude with a custom Text Expander prompt called “XXPQS” to generate interview questions in his voice. The AI is instructed to structure questions, include contrarian points, and follow his style, though Brooks always edits the output to sound more conversational. Alternatively, for guests who provide articles, he uses the AI tool CIDR to summarize web content and suggest questions. The actual recording is currently done on Zoom with Fathom, though he is considering a switch to Descript for higher-quality separate audio tracks. In post-production, his assistant cleans up the machine transcript in Descript, suggests a title, provides editing notes, and compiles show notes with links. Brooks then uses a custom AI assistant in Claude to create multiple assets from the final transcript, including SEO-optimized titles, meta descriptions, social posts, and a keyword-rich blog post. He notes that raw podcast transcripts rank poorly in search, so this AI-generated blog post serves as a better SEO draft, though he must often edit cliché AI-suggested titles. The finished audio and metadata are sent to his editing team at BareValue. For promotion, Brooks uses Descript to automatically generate vertical video clips from the Zoom recording for social media. His team handles uploading the episode, publishing the blog post, and managing the social calendar. He repurposes the blog post into a LinkedIn newsletter, growing that list to 1,200 subscribers in a few months. Through time-tracking, Brooks discovered the process takes him 2.5 to 3 hours per episode, not the one hour he previously estimated. He concludes the podcast has been immensely rewarding, facilitating learning, connections, and generating client leads for his agency. The tone is highly instructional and conversational, as Brooks walks listeners through his personal process with candid asides. The style is a detailed, behind-the-scenes tutorial focused on practical tech stack integration. Marketing professionals, content creators, and aspiring podcasters would love this episode for its specific tool recommendations and workflow blueprint. Listeners seeking guest-driven interviews or industry debates might skip this solo, process-focused installment.

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