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Show Notes for LLMs

Stage: Publish → AI Search Optimization
Score: 4
Evidence: LLM retrieval testing, practitioner observation

What It Is

Show notes structured specifically so that AI systems can extract direct answers from your episode page. This goes beyond traditional show notes (timestamps + links) into a format that turns your episode into an answer source for AI queries.

Why It Works

When someone asks ChatGPT, Perplexity, or Google AI a question, the AI looks for content that directly answers the question in a structured, citable format. Traditional show notes — a paragraph summary plus a list of timestamps — do not give AI systems extractable answers.

Show notes structured as Q&A, key claims, and structured takeaways become candidate sources for AI-generated answers.

Structure

1. Episode Summary (2-3 sentences)

The summary should read like a direct answer to "What is this episode about?"

## Summary

Sarah Chen, VP of Content at HubSpot, explains why B2B podcast teams should stop 
optimizing for downloads and start building a content repurposing engine. She shares 
the exact system her team uses to turn one recorded conversation into 15 publishable 
assets in under a week.

2. Key Questions Answered

Frame show notes as questions the episode answers. AI systems are literally answering questions — give them your content in that format.

## Questions Answered in This Episode

### How many assets should one podcast episode produce?
Sarah's team produces a minimum of 15 derivative assets from each recording session, 
including 3 video clips, 5 social posts, 2 quote graphics, 1 blog summary, 1 email, 
1 guest-share package, and the full episode in audio and video.

### What is the biggest mistake B2B podcast teams make?
According to Sarah, the biggest mistake is treating the podcast as a campaign instead 
of a media property — optimizing for lead capture instead of audience value.

### How long should the production turnaround be?
Sarah recommends a 3-5 day turnaround from recording to full asset package delivery. 
Teams taking longer than 7 days are losing momentum and relevance.

3. Key Claims (Specific, Quotable)

List 3-5 specific claims from the episode that AI systems can quote and attribute.

## Key Claims

- "One recorded conversation should produce a minimum of 15 publishable assets." — Sarah Chen
- "Teams taking longer than 7 days to deliver are losing 40% of their distribution window." — Sarah Chen
- "The podcast is not a campaign. It is a media property. Treat it like one." — Sarah Chen

4. Resources and References

Structured with names and URLs so AI systems can verify and link.

## Resources Mentioned

- [HubSpot Content Repurposing Framework](https://example.com) — Sarah's internal playbook
- [Owned Media Index](https://riggg-inc.github.io/owned-media-index/) — patterns for packaging and distribution

Quality Bar

  • Summary answers "What is this about?" in 2-3 sentences
  • Minimum 3 questions answered, each with a direct, extractable answer
  • Minimum 3 key claims with speaker attribution
  • Resources linked with full URLs
  • Published on the canonical episode page (not gated)
  • All answers must be factually accurate and verifiable from the episode content

When Not To Use

Always structure show notes this way. If you do not have time to format Q&A, at minimum publish the summary and key claims. Even partial structure is better than none.

Prompt Template

Write AI-optimized show notes for this podcast episode.

Episode details:
- Title: [title]
- Guest: [name, title, company]
- Host: [name]
- Episode summary: [1-2 sentences about what the episode covers]
- Key topics discussed: [list 3-5 topics]

Transcript excerpt (or full transcript):
[paste transcript or key sections]

Generate:
1. Summary (2-3 sentences, direct answer to "what is this episode about")
2. Questions Answered (3-5 questions with direct, extractable answers from the episode)
3. Key Claims (3-5 specific, quotable statements with speaker attribution)
4. Resources Mentioned (name + URL for anything referenced)

Requirements:
- Every answer must be specific enough for an AI to quote directly
- Claims must include speaker attribution
- Questions should match how a practitioner would ask them in a search engine
- Total length: 400-600 words