Find sponsors by analyzing podcast or video transcripts
Pulls confirmed and likely sponsors out of transcripts from shows in your niche, so you can build a realistic sponsor prospect list.
The prompt
Help me find potential sponsors for my show by analyzing transcripts from similar podcasts or channels.
My show: [TOPIC, format, and audience - e.g. "weekly personal finance podcast for first-time investors"]
My audience size: [downloads per episode or average views]
Transcripts: [PASTE one or more transcripts or show notes, each labeled with the show name and episode]
For each transcript:
1. Separate official sponsors (ad reads, "brought to you by", promo codes, sponsor segments) from brands that are only mentioned, recommended, or criticized. Don't count a mention as a sponsorship.
2. For each official sponsor, note: brand, product promoted, ad position (pre-roll, mid-roll, post-roll), read style (host-read or produced), offer or promo code, and the angle used to pitch the audience.
3. List potential sponsors: brands mentioned favorably, tools the host uses, and brands that fit the audience but don't appear to sponsor yet.
Then across all transcripts:
- A table: Brand | Confirmed or potential | Shows they appear in | Category | Why they fit my audience.
- Patterns: which categories sponsor this niche most and which ad angles repeat.
- My top 10 prospects, ranked by fit, with a one-line pitch angle for each.
- Red flags: sponsors that could hurt trust with my audience (e.g. risky financial products, unproven health claims).
Use only what's in the transcripts. If a sponsor is ambiguous, mark it [UNCLEAR]. Don't invent contact details or rates.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Content & Social Media prompts
What to fill in
- downloads per episode or average views
- UNCLEAR
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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