Prompts to build a podcast-booking custom GPT
From 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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How to use these prompts
These are ready-to-use prompts pulled from the custom GPT workflow that Jasz Joseph built to book 10 podcasts in two months. Copy, paste, and swap in details where you see [BRACKETS]. Every AI tool and model behaves a little differently, so treat what comes back as a starting point. Review the output and refine from there.
Prompt 1: Train the GPT on your business foundation
- Best for: Initial setup of a custom GPT that will pitch you for podcasts
- Use with: ChatGPT (custom GPT configuration panel)
Business foundation training
You are a podcast outreach assistant for [YOUR_NAME], a [YOUR_ROLE] at [YOUR_COMPANY].
Here is my foundational information:
Services I offer:
[PASTE_SERVICES_PAGE_OR_DESCRIBE_IN_2-3_PARAGRAPHS]
My bio:
[PASTE_BIO_OR_ABOUT_PAGE]
Past projects (2–3 examples):
[DESCRIBE_EXAMPLE_1]
[DESCRIBE_EXAMPLE_2]
[DESCRIBE_EXAMPLE_3]
Ideal clients: [DESCRIBE_TARGET_AUDIENCE: industries, company size, personas]
Industries and topics I avoid: [LIST_EXCLUSIONS: e.g., “ecommerce, B2C, cryptocurrency”]
Personal details for a well-rounded guest profile:
[HOBBIES, VALUES, PERSONAL_INTERESTS: e.g., “I’m passionate about helping women in business, I value time freedom, and I enjoy hiking with my rescue dog”]
Tone preferences: [DESCRIBE_YOUR_PITCH_VOICE: e.g., “Professional but warm. Never overly casual or salesy. Avoid superlatives.”]
Use this information to evaluate podcast opportunities and write pitches that position me as a strong guest.
Variables to fill in:
- [YOUR_NAME]: your full name as you want it to appear in pitches
- [YOUR_ROLE]: your title or professional descriptor (e.g., “marketing consultant”)
- [YOUR_COMPANY]: company name or personal brand
- [PASTE_SERVICES_PAGE]: copy-paste your services page or write a 2–3 paragraph summary
- [PASTE_BIO]: copy-paste your professional bio
- [DESCRIBE_TARGET_AUDIENCE]: who you work with and who you don’t
- [LIST_EXCLUSIONS]: industries, topics, or audience types that are off-limits
What to expect:
- The GPT will acknowledge the information and may ask clarifying questions. This is the foundation. You’ll build on it in the following prompts.
What you lay out here becomes the benchmark the GPT uses to evaluate fit. Be specific about what you do and what you avoid. Jasz found that her VA struggled to pitch the right shows until the GPT had enough context to distinguish between relevant and irrelevant audiences.
Prompt 2: Vet a podcast opportunity
- Best for: Evaluating whether a specific podcast is worth pitching
- Use with: ChatGPT (inside the custom GPT you configured with Prompt 1)
Vet a podcast opportunity
Here is a podcast I’m considering pitching. Read the description and tell me whether it’s a fit for me. Explain your reasoning so my team can override if needed.
Podcast name: [PODCAST_NAME]
Podcast description: [PASTE_PODCAST_DESCRIPTION]
Variables to fill in:
- [PODCAST_NAME]: the name of the show
- [PASTE_PODCAST_DESCRIPTION]: the show’s About section or description from Apple Podcasts, Spotify, or the show’s website
What to expect: A yes/no recommendation with a reasoning breakdown. The GPT should reference your services and target audience to explain why the show is or isn’t a fit.
Follow-up prompt
It’s a yes. Here are the titles and descriptions of the last 3–5 episodes so you can better understand the audience:
[PASTE_EPISODE_1_TITLE_AND_DESCRIPTION]
[PASTE_EPISODE_2_TITLE_AND_DESCRIPTION]
[PASTE_EPISODE_3_TITLE_AND_DESCRIPTION]
Prompt 3: Generate a personalized email pitch
- Best for: Crafting an outreach email to a podcast host or producer
- Use with: ChatGPT (inside the custom GPT, after vetting the show)
Personalized email pitch
This outreach will be done via email. Draft a personalized pitch that explains why I’m a fit for this show and what topics I can speak on. Make the pitch specific to this podcast’s audience based on the episodes I shared.
Variables to fill in:
- None. This prompt uses context from the vetting conversation above.
What to expect:
- A personalized email pitch that references the show’s audience, names specific topics you can cover, and explains the value you’d bring as a guest. It should feel like a win-win proposition, not a generic booking request.
Follow-up prompt
This sounds too [casual/formal/generic]. Adjust the tone to be [DESCRIBE_DESIRED_TONE]. Also, I wouldn’t say “[PHRASE_TO_CHANGE].” Rewrite that part to better match my voice.
Prompt 4: Generate responses to a podcast application form
- Best for: Filling out podcast guest application forms
- Use with: ChatGPT (inside the custom GPT, after vetting the show)
Podcast application form response
This outreach will be done via a web form. Here are the questions on the application. Write responses for each one:
[PASTE_FORM_QUESTIONS]
Variables to fill in:
- [PASTE_FORM_QUESTIONS] — copy-paste every question from the application form
What to expect:
- Individual responses to each form question, tailored to the specific show’s audience. The GPT should draw on your foundational information to answer accurately.
Follow-up prompt
Now generate a quick reference summary of this pitch so I can refer back to it later. Include:
- Episode angle: one sentence on the framing we pitched
- Key talking points: 3–5 bullets covering what I’d discuss on the show
- Audience takeaways: 3–4 bullets on what listeners would walk away with
- Free resource: a lead magnet or resource I can offer the audience (if applicable)
- Tone and positioning: one sentence on the voice and brand angle for this appearance
Prompt 5: Vet podcasts in bulk
- Best for: Quickly filtering a list of potential podcast leads
- Use with: ChatGPT (regular chat or inside the custom GPT)
Vet podcasts in bulk
Here are several podcast links I found during research. Vet each one and tell me which are worth pitching and which aren’t. For each, give a one-line explanation.
[PASTE_PODCAST_LINKS_OR_DESCRIPTIONS]
Variables to fill in:
- [PASTE_PODCAST_LINKS_OR_DESCRIPTIONS]: a list of podcast names, links, or descriptions
What to expect:
- A ranked or filtered list showing which shows are strong fits, which are borderline, and which to skip. This is the bulk-vetting approach that Jasz uses to speed up the research phase.
Tips for better results
- Give the GPT feedback on every draft: if you adjust the tone or wording before sending a pitch, tell the GPT what you changed and why. Jasz found that people who skip this step get generic output that doesn’t improve over time.
- Update the GPT regularly with new material: add new client stories, lessons from past podcast appearances, and refined speaking topics. The GPT gets better the more context it has.
- Use voice-to-text for the training phase: talking through your background and preferences is faster and more natural than typing it all out.
- Have your team member flag gaps: if the GPT encounters a question it can’t answer well (like personal opinions or mentorship questions), flag it for a human response instead of letting the GPT guess.
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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