LEAD GENERATION

Turn Podcast Guest Mentions into Personalized Cold Emails

Watches a podcast feed for new episodes, extracts the named guests and companies from the show notes, enriches them, and drafts a personalized cold email in Gmail referencing…

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled poll of podcast RSS feed for new episodes
  • ActionScrape episode page for guests and companiesApify
  • ActionEnrich guests with email and recent signalExa
  • LogicDrop known contacts and low-confidence email matches
  • ActionDraft episode-specific cold email copyOpenAI
  • OutputCreate reviewable draft in GmailGmailGmail

What it does

Converts every new podcast episode into warm outreach. It reads the episode's guests and the companies discussed, enriches each guest with contact and role data, then drafts a Gmail message that references the specific episode and topic so the opener never reads as generic.

When to use it

Use it when you prospect into people who appear as podcast guests in your niche. The fact that someone went on a show is a strong intent and authority signal, and a same-week email that quotes their episode lands far better than a templated blast.

How it works

  1. 1A schedule polls the target podcast RSS feed for episodes published since the last run.
  2. 2Apify scrapes the episode page and show notes for guest names, titles, and the companies mentioned.
  3. 3Exa finds each guest's company and a likely professional email, plus one recent company signal worth referencing.
  4. 4A logic step skips guests already in the CRM or missing a confident email match.
  5. 5An LLM step drafts a short personalized email tied to the episode topic.
  6. 6The draft is created in Gmail (not sent) for a rep to review and send.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect GmailRead, draft, send, label.
  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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