MARKET RESEARCH

Agent that builds a pre-event target list from a brief

An agent takes a plain-English event brief from the Chairman, researches the speaker and attendee lineup across the web, judges fit against your ICP.

CategoryMarket Research
Enginepaperclip
Difficultyadvanced
Triggerchat
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerChairman sends an event brief in chat
  • ActionSearch the roster, sponsors, and attendee signalsExa
  • ActionScrape specific event and company pages for detailFirecrawl
  • LogicReason over fit, tier, and reachability to prioritize accounts
  • ActionWrite ranked target list with rationale to NotionNotionNotion
  • OutputReport summary back in chat for approval

What it does

You describe the event and what a good target looks like in chat. The agent researches the lineup, evaluates each company against your ideal-customer profile, decides who is worth pursuing, and builds a prioritized target list in Notion with a written rationale per account.

When to use it

Use it when the targeting logic is fuzzy and judgment-heavy, not a fixed rule set. The agent can weigh tradeoffs, chase ambiguous signals, and ask for clarification, which suits early-stage planning where you do not yet know exactly who to chase.

How it works

  1. 1The Chairman sends a chat brief naming the event and the ICP.
  2. 2The agent searches with Exa for the speaker roster, sponsors, and attendee signals.
  3. 3It scrapes specific event and company pages with Firecrawl where it needs detail.
  4. 4It reasons over fit, tier, and reachability, prioritizing accounts and discarding poor matches.
  5. 5It writes a ranked target list to Notion, one row per account with rationale and a suggested play.
  6. 6It reports the summary back in chat for the Chairman to approve or adjust.

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
    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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.