LEAD GENERATION

On-demand guest research brief: deep-dive a target podcast into a Notion prep doc

Triggered by a request with a podcast name, an agent researches the show, its host, and recent episodes, builds a talking-points and pitch-angle brief.

CategoryLead Generation
Enginepaperclip
Difficultyadvanced
Triggerchat
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerChat request names a podcast
  • ActionResearch show and hostExa
  • ActionPull recent episodes and notesFirecrawl
  • ActionSynthesize prep brief
  • OutputCreate Notion prep docNotionNotion
  • ActionLink doc to Attio prospectAttio

What it does

When you're about to pitch or appear on a specific show, this workflow produces a ready-to-use prep brief. An agent gathers everything about the podcast, its host, and recent episodes, then writes a structured Notion doc with suggested talking points, a tailored pitch angle, and questions the host tends to ask.

When to use it

Use it for high-value, one-at-a-time targets where a generic pitch won't cut it — a flagship show, a warm intro, or final prep before recording. It's research-heavy and agent-driven rather than a bulk pipeline.

How it works

  1. 1A chat request supplies the podcast name or URL.
  2. 2The agent searches the open web with Exa for the show, host bio, and audience details.
  3. 3Firecrawl pulls recent episode pages and show notes for concrete talking points.
  4. 4The agent synthesizes a brief: positioning, three pitch angles, likely host questions, and prep notes.
  5. 5The output step creates a formatted prep doc in Notion.
  6. 6The agent links the Notion doc URL onto the matching Attio prospect record.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ExaNeural search across the web.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Connect AttioReal-time CRM with structured data + powerful views.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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