Create Interview Podcast Episode Script AI Prompt
Your guest is brilliant… and the episode still drags. The intro runs long, the best stories show up at minute 42, and you realize (too late) you skipped the one question listeners actually wanted answered.
This interview podcast script is built for podcast hosts who want a tighter arc without sounding scripted, content marketers turning founder interviews into repeatable series episodes, and agency strategists producing client podcasts on a deadline. The output is a full, long-form interview script with a coherent narrative arc, host narration only where it matters, themed question blocks, follow-ups, recap beats, and a clean closing.
What Does This AI Prompt Do and When to Use It?
| What This Prompt Does | When to Use This Prompt | What You’ll Get |
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The Full AI Prompt: Long-Form Interview Podcast Episode Script
Fill in the fields below to personalize this prompt for your needs.
| Variable | What to Enter | Customise the prompt |
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[INDUSTRY] |
Specify the industry or field that the podcast episode will center around. This helps guide the topics and themes discussed. For example: "Artificial intelligence and machine learning applications in healthcare."
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[COMPANY_NAME] |
Provide the name of the company where the guest currently works or is affiliated with. For example: "OpenAI"
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[PODCAST_NAME] |
Enter the name of the podcast for which the episode script is being created. For example: "The Builders Podcast"
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[EXPERT_NAME] |
Provide the full name of the guest being interviewed in the podcast episode. For example: "Dr. Jane Smith"
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[EXPERT_TITLE] |
Specify the professional title or role of the guest being interviewed. For example: "Chief Technology Officer"
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[BRAND_VOICE] |
Describe the tone and style of the podcast, such as whether it is casual, professional, edgy, or conversational. For example: "Energetic and curiosity-driven with a focus on plain-speaking insights."
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[TARGET_AUDIENCE] |
Identify the main audience for the podcast episode, including their interests, roles, or demographics. For example: "Startup founders and product managers interested in scaling strategies and leadership insights."
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[TIMEFRAME] |
Specify the desired duration of the podcast episode, typically in minutes. For example: "45 minutes"
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[CONTEXT] |
Provide any notable achievements, projects, or background details about the guest that should be referenced during the episode. For example: "Led the development of a groundbreaking AI model used in autonomous vehicles."
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[KEYWORDS] |
List specific topics or keywords that must be addressed during the podcast episode. For example: "AI ethics, scaling machine learning teams, and data privacy challenges."
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[UPPERCASE_WITH_UNDERSCORES] |
This demonstrates the format of placeholders used in the prompt. No input is required; this is for reference only. For example: "[EXAMPLE_PLACEHOLDER]"
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Pro Tips for Better AI Prompt Results
- Give the prompt a “listener promise” before you generate the script. Add one sentence describing what the audience should walk away with (for example: “By the end, operators will know how to build a weekly experimentation cadence that survives a messy roadmap.”). Then rerun the prompt and ask it to tighten every question toward that promise.
- Force specificity with a follow-up request. After the first draft, paste this: “Rewrite the strongest 10 questions so each one demands a concrete example, a number, or a decision trade-off.” You’ll get fewer TED-talk answers and more real operational detail.
- Control pacing by assigning timestamps and segment goals. Ask: “Add a target runtime and timestamps per section for a 45-minute episode, and state the purpose of each segment in one line.” Honestly, this is the simplest way to avoid spending 12 minutes on background.
- Iterate the tone, not just the questions. Try: “Make the host voice more curious and playful, but keep the skepticism in the follow-ups.” Or go the other direction: “Make the host more direct and executive-level, fewer jokes, faster transitions.” Small changes here can make the script sound like you, not like a template.
- Use the script as a content engine with one extra output pass. After you’re happy with the flow, ask: “Create a post-recording extraction plan: 8 clip timestamps to hunt for, 5 newsletter angles, and 3 LinkedIn post outlines based on the themes.” If you work in a team, this keeps editing and distribution aligned from day one.
Common Questions
Podcast Hosts use this to keep long-form interviews tight while still sounding curious and human, especially when they need better follow-ups on the fly. Content Marketing Managers rely on it to standardize episode structure across a series, so every interview produces consistent “themes, lessons, recap” assets. PR and Partnerships Leads find it useful when prepping executive guests, because the script reveals what stories and proof points will likely be asked for. Agency Producers apply it to reduce prep time and hand a clean run-of-show to freelance hosts and editors.
B2B SaaS teams use it to pull frameworks out of builders and operators, like how they think about onboarding, retention, and growth loops, without turning the episode into a demo. Professional services firms (consulting, accounting, legal marketing teams) use it to spotlight a leader’s point of view and client lessons while avoiding anything that sounds like advice or a pitch. E-commerce and DTC brands get value when interviewing founders about supply chain, creative testing, and channel strategy, because the prompt pushes for specifics and trade-offs. Venture and startup media benefit because the “origin → tensions → contrarian takes → future” arc fits how founders actually tell their story.
A typical prompt like “Write me a podcast interview script with questions for my guest” fails because it: lacks a structured narrative arc (so the conversation meanders), provides no interviewer persona or follow-up behavior (so answers stay surface-level), ignores edge cases like missing guest details (so you get filler instead of a plan), produces generic questions instead of story-driven prompts, and misses recap/transition beats that make a long episode feel intentional.
Yes, but you customize it through the context you paste in before running it, since the prompt itself has no built-in variables. Add your show format (runtime, audience, and what “high-signal” means for them), your guest’s role and credibility signals, and 2–3 themes you want to explore. If the guest’s industry is wide, tell the model what sub-themes are in scope so it doesn’t guess wrong. Follow-up prompt to use: “Rewrite the script for a 35-minute episode, prioritize theme #2, and add tougher follow-ups where the guest might give a vague answer.”
The biggest mistake is leaving the audience definition too vague; instead of “founders,” use something like “seed to Series B SaaS founders hiring their first GTM team.” Another common error is giving thin guest context (bad: “VP at a tech company”; better: “VP Product at a devtools SaaS, led a pivot from SMB to mid-market, previously an engineer”). People also forget to set constraints like runtime and sensitivity boundaries, which leads to overly long sections or advice-y language. Finally, teams accept the first draft; ask for a second pass that labels the strongest 5 questions and tightens transitions so the episode has momentum.
This prompt isn’t ideal for highly produced narrative podcasts that require scene writing, sound design cues, and a fully fact-checked script. It’s also a poor fit if you’re doing a quick 10-minute news reaction where you need a tight monologue, not a long-form interview arc. And if you refuse to iterate (no pre-call, no second draft), you will not get the depth this framework is designed to pull out. In those cases, start with a simpler outline or a short run-of-show template instead.
A great guest doesn’t guarantee a great episode. Use this prompt, walk into the recording with a real arc and sharper follow-ups, then paste it into ChatGPT and start tightening your next interview today.
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