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.
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 NotionNotion
- 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
- 1The Chairman sends a chat brief naming the event and the ICP.
- 2The agent searches with Exa for the speaker roster, sponsors, and attendee signals.
- 3It scrapes specific event and company pages with Firecrawl where it needs detail.
- 4It reasons over fit, tier, and reachability, prioritizing accounts and discarding poor matches.
- 5It writes a ranked target list to Notion, one row per account with rationale and a suggested play.
- 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.
- 1Connect ExaNeural search across the web.
- 2Connect FirecrawlCrawl, scrape, structured extract.
- 3Connect NotionPages, databases, comments.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Market Research workflows
Hiring Surge Detector with Slack Alert
Detects when a target account's open-role count jumps above its recent baseline and posts a ranked Slack alert to the GTM channel so reps can act on a company that is clearly…
Tech-Stack Shift Inference from Job Descriptions
Reads new job descriptions for target accounts, uses an LLM to extract named technologies and infer stack changes.
Enrich Inbound Accounts with BigQuery Firmographics and Score Fit
When a new account row lands in Airtable, joins it against BigQuery public business datasets to attach firmographic attributes.
Blend BigQuery TAM with Live Competitor Signals into a Notion Brief
On demand, sizes a chosen segment from BigQuery public data, gathers current competitor signals via Brave Search, and synthesizes a one-page market brief into Notion.
Allocate Sales Territory TAM from BigQuery Geo Data to HubSpot
When triggered by a webhook, queries BigQuery public ZIP-level business data to compute TAM per sales territory.
Discover Adjacent Segments from BigQuery and Rank Expansion Bets
On a schedule, scans BigQuery public industry data for fast-growing NAICS sectors adjacent to your core segments, scores them as expansion bets.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
