Steps to build a podcast-booking custom GPT
This resource is based on Zero bookings to 10 in two months with a podcast-pitching GPT, featuring Jasz Joseph of Jasz Rae Digital, published on the AI Lab by ActiveCampaign.
Get the checklist
By the end of this checklist, you’ll have a working custom GPT that vets podcast opportunities and generates personalized pitches on your behalf. It’s based on the workflow that marketing consultant Jasz Joseph used to secure 10 podcast bookings in just over two months. Expect about 1–2 hours for initial setup, plus 5–8 hours of testing and refinement over the following weeks.
Before you start
- Confirm you have a ChatGPT Plus or Teams subscription: custom GPTs require a paid plan
- Gather your foundational content: homepage copy, services page, bio, and 2–3 past project examples
- Know your positioning: which industries you serve, which you avoid, and what makes you a strong podcast guest
- Set up a shared tracking document: a Google Doc or spreadsheet where your team will log outgoing pitches
The workflow
Phase 1: Train the GPT on your business
After this phase, you’ll have: a custom GPT that understands your services, ideal clients, and positioning well enough to explain why you’d be a good podcast guest.
From Jasz: “This upfront work is necessary if you really want to see results.”
- Create a new custom GPT: go to ChatGPT’s GPT builder and start a new project
- Feed it your homepage and services page: paste the full text so it understands what you offer
- Add your bio and professional background: include your role, expertise areas, and career context
- Outline the services you offer with examples: share 2–3 past projects that illustrate the kinds of work you do
- Define your ideal client profile: specify which industries, company sizes, and personas you serve
- List industries and topics to avoid: be explicit about what’s off-limits (e.g., “no ecommerce or B2C shows”)
Phase 2: Add personal and voice details
After this phase, you’ll have: a GPT that reflects your full personality—not just your resume—and can represent you authentically in pitches.
- Share personal details that make you a well-rounded guest: passions, hobbies, values, personal story elements that podcast hosts look for like: “I told it, ‘I’m passionate about helping women, I value time freedom, and I have a rescue dog I like to take hiking.’ People are looking for that whole person on podcasts.”
- Use voice-to-text for faster input: ChatGPT’s voice feature lets you brain-dump instead of typing everything out
- Add tone and language preferences: tell the GPT how formal or casual your pitch voice should be, and flag any words or phrases you avoid
Phase 3: Test and refine the workflow
After this phase, you’ll have: a proven pitching workflow with a multi-step conversation flow that your GPT runs with minimal input.
- Test the GPT yourself first: paste a real podcast description and ask it to generate a pitch
- Evaluate the output quality: check that the pitch is customized to the specific audience, not generic
- Train the GPT to ask qualifying questions: configure it to request the last 3–5 episode titles and descriptions before generating a pitch, so it understands the show’s audience
- Set up branching for outreach type: have the GPT ask whether outreach is via email or web form, and generate the right format for each
- Add a pitch summary step: configure the GPT to produce a brief summary after each pitch for your tracking document
- Give detailed feedback on every draft: flag tone issues, word choices, and anything that doesn’t represent your brand accurately: “It was really important for me to tell the custom GPT, ‘Actually, I wouldn’t say it like that, or I wouldn’t use that verbiage, or this is a little too casual.’ ”
Phase 4: Hand off and maintain
After this phase, you’ll have: a GPT that a team member can operate independently, with a process for ongoing improvement.
- Pass the GPT to your team member: share access and walk them through the workflow
- Establish a feedback loop: ask your team member to flag anything that feels off, no matter how small
- Schedule weekly check-ins: review flagged issues and refine the GPT together during regular meetings
- Update the GPT with new client stories: after each new project, add details so the GPT can reference fresh examples in pitches
- Feed in lessons from podcast appearances: share what kinds of questions you get asked and which speaking topics resonate with different audiences
- Flag questions the GPT can’t answer: for personal or opinion-based questions (e.g., “Who are your three biggest mentors?”), respond yourself instead of relying on the GPT
Quick reference
- Total time: 1–2 hours for setup, 5–8 hours of refinement over 2 weeks
- Tools needed: ChatGPT Plus or Teams (for custom GPTs), a shared tracking doc, and optionally a podcast research tool like MatchMaker.fm
- Key output: A custom GPT that vets podcast opportunities and generates personalized pitches, plus a tracking document for every outgoing pitch
Ready for the full story?
Read Zero bookings to 10 in two months with a podcast-pitching GPT, featuring Jasz Joseph of Jasz Rae Digital, published on the AI Lab by ActiveCampaign.
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