MARKET RESEARCH
Competitor Team Buildout Org-Map Builder
Monthly, an agent researches a competitor's recent hiring across job boards and LinkedIn-style sources, infers how teams are being structured.
How it runs
The automated pipeline, trigger to output.
- TriggerMonthly schedule per competitor
- ActionGather open and recent rolesApify
- ActionEnrich with leadership and press signalsExa
- LogicSynthesize org-buildout narrative
- OutputUpdate living org briefNotion
What it does
Once a month an agent investigates a single competitor's recent hiring, reasons about how their org is being assembled (which functions are scaling, what new teams are forming, who likely reports to whom), and writes or updates a structured org-buildout brief in Notion.
When to use it
Use this for deep, narrative intelligence on a priority competitor rather than a row-level feed. It is ideal for product and strategy leaders who need an interpreted picture - "they are standing up a platform team and a partnerships motion" - not just a list of open roles.
How it works
- 1A monthly schedule triggers the agent run.
- 2The agent uses Apify to gather the competitor's current and recently closed postings.
- 3It runs Exa searches to enrich with leadership hires, press, and team mentions.
- 4The agent synthesizes a buildout narrative: new teams, scaling functions, inferred reporting lines, and what it implies strategically.
- 5It updates the competitor's living brief page in Notion, preserving prior months as history.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect ExaNeural search across the web.
- 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
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.
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.
Weekly Hiring-Intel Briefing for GTM
An agent reviews the week's accumulated hiring signals across all target accounts, writes a narrative briefing that infers each account's likely initiatives.
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.
