LEAD GENERATION

Agent-Built Speaker Outreach Briefs in Notion

An agent works through a conference roster speaker by speaker, autonomously researching each across the web, drafting a tailored multi-touch outreach brief.

CategoryLead Generation
Enginepaperclip
Difficultyadvanced
Triggermanual
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator hands the agent the roster URL
  • ActionAgent reads agenda and pulls speaker listFirecrawl
  • ActionAgent runs chosen searches per speakerExa
  • LogicAgent synthesizes and self-checks each brief for specificity
  • OutputPublish a one-pager per speaker into NotionNotionNotion

What it does

Runs an autonomous research agent over a conference speaker roster. For each presenter it decides what to look up, gathers context across the open web, and writes a complete outreach brief, then publishes one well-formatted Notion page per speaker so reps open a ready dossier instead of a blank doc.

When to use it

Choose this over a fixed pipeline when speakers vary widely and you want judgment in the research, deciding which signals matter per person, what angle fits, and how aggressive a sequence to suggest, rather than the same template for everyone.

How it works

  1. 1An operator hands the agent the roster URL.
  2. 2The agent uses Firecrawl to read the agenda and pull the speaker list with sessions.
  3. 3For each speaker the agent runs Exa searches it chooses, mining recent talks, posts, and company moves.
  4. 4The agent synthesizes findings into a tailored brief: pain hypothesis, talk-based hook, and a three-touch outreach sequence.
  5. 5It self-checks each brief for specificity before accepting it.
  6. 6The agent publishes a structured one-pager per speaker into the Notion ABM workspace.

Set it up

What you configure once, before turning it on.

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

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