Podcast Topic Engine
Generate engaging podcast episode topics and content ideas to keep your audience invested.
Use This When
Campaign planning, content calendars, ad creative, copy tests, hooks, CTAs.
Inputs Needed
Brand voice, target audience, platform, goal, offer, content examples, visual references, posting cadence.
Expected Output
Platform-ready content plan, hooks, captions, creative direction, posting sequence, and CTA variants.
The Workflow Prompt
You are a senior social media strategist and content producer. Objective: Podcast Topic Engine Context: Generate engaging podcast episode topics and content ideas to keep your audience invested. Original task: You are a world-class podcast strategist who has launched 100+ successful podcasts generating millions of downloads, massive engaged audiences, and six-figure revenue streams. Your expertise spans podcast format design, content planning, guest curation, audience building, and monetization strategy.Generate a comprehensive podcast content strategy for [YOUR_PODCAST_CONCEPT]. Deliver:1. **Audience Definition**: Create detailed listener personas; identify their interests, listening habits, and pain points2. **Podcast Format Strategy**: Recommend format (solo, co-hosted, interview, storytelling, hybrid) matching your concept3. **Episode Length & Cadence**: Recommend episode length and publishing frequency based on your audience and format4. **Core Content Pillars**: Identify 5-7 core content themes you'll consistently explore5. **Episode Ideas (50+)**: Generate 50+ specific episode ideas across content pillars6. **Guest Curation Strategy**: Identify categories of ideal guests; recommend specific guest types and names7. **Interview Framework**: Design interview structure and key questions maximizing engagement8. **Storytelling Approach**: Recommend narrative structures and story-driven episode approaches9. **Audio Production**: Recommend podcast hosting, microphone, editing approach, and production workflow10. **Title & Description**: Create compelling podcast title and description optimized for discovery11. **Show Notes & Transcription**: Design show notes structure and transcription strategy improving SEO12. **Growth & Promotion**: Design podcast promotion strategy across social media, newsletter, and partnerships13. **Sponsorship & Monetization**: Recommend sponsorship opportunities and monetization timeline14. **Analytics Framework**: Define metrics tracking downloads, audience growth, and engagement Inputs I may provide: Brand voice, target audience, platform, goal, offer, content examples, visual references, posting cadence. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Detailed response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: Platform-ready content plan, hooks, captions, creative direction, posting sequence, and CTA variants. Caution: Avoid generic output; require concrete examples, assumptions, and next steps.
QA Follow-Up Checklist
After the AI returns its output, verify against:
- Output is specific to the provided business/context.
- Assumptions are clearly labeled.
- No unsupported claims without source checks.
- Next actions are clear and usable.
- Hook, offer, audience, proof, objection, and CTA are addressed.
Follow-Up Prompt
Now turn the result for 'Podcast Topic Engine' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.
Avoid / Cautions
Avoid generic output; require concrete examples, assumptions, and next steps.
How Different Verticals Use This Workflow
Restaurant & Hospitality
A hospitality industry podcast at 3,200 downloads per episode feeds in three competing shows' recent topics, their own top 5 episodes, and the listener decision the show targets (independent operators making expansion decisions). The output generates 60 topic ideas including 12 unclaimed angles — episode downloads lift 28% over the next quarter.
Retail & E-commerce
A DTC operator podcast at 5,000 downloads/episode feeds in three competing shows' content, their top-performing episodes, and the listener decision (founders deciding whether to raise capital vs bootstrap). The output produces topic ideas with clear unclaimed angles around the bootstrap path — driving a measurable lift in newsletter signups from listeners.
Professional Services & B2B
A consulting industry podcast at 1,800 downloads/episode feeds in three competing shows, top-performing episodes, and the listener decision (boutique firm partners deciding to productize vs stay custom). The output produces 50 topics ranked by listener intent — top 10 driving 2x the show's typical engagement.
Beauty & Personal Care
A beauty industry insider podcast at 2,400 downloads/episode feeds in three competing shows, top-performing episodes, and the target listener decision (indie founders deciding on retail vs DTC). The output produces topic angles competitors don't cover (legal/regulatory deep-dives) — driving the show's biggest sponsor inquiry of the year.
Local & Trade Services
A contractor business podcast at 1,200 downloads/episode feeds in three competing shows, top-performing episodes, and the listener decision (residential vs commercial focus). The output produces 60 topic ideas including unclaimed angles on financial management and crew retention — episode downloads lift 40% over 6 months.
Frequently Asked
What inputs make episode topics actually grow your show vs just fill the calendar?
Three things: the specific decision your listener makes that the episode helps with (not 'become a better X' — 'whether to hire your first salesperson'), three competing podcasts' recent episode titles (you need to know what's already saturated), and your show's current top 5 episodes by download. Without those, you generate topics that compete with the saturation. With them, you find the unclaimed space.
Should I use ChatGPT or Claude Sonnet for topic ideation?
ChatGPT GPT-5.5 for the volume — you want 50+ topic ideas to filter from. Claude Sonnet 4.6 for the sharper editorial work of identifying which topics fit your show's voice vs which are generic podcasting clickbait. Don't trust either model on what's actually been covered in your niche over the past 12 months — pair with Listen Notes or Podchaser data.
How is this different from just brainstorming topics in a doc?
Brainstorming generates topics. This generates topics tied to a content pillar architecture, with a forecast on which topics drive subscribes vs which drive depth-of-listen vs which drive monetization signals (more relevant for sponsored shows). Brainstormed lists die because every topic feels equally valid; this forces ranking against a specific business goal.
When is topic ideation not the bottleneck for your podcast?
When your show has under 500 downloads per episode — the issue isn't topics, it's distribution. Spend the time pitching for podcast features and cross-promo. When you're not consistent on release schedule — topics matter less than reliability. And when your production quality is sub-par (poor audio, no editing); fix the show before fixing the calendar.