MARKET RESEARCH
AI Competitor Launch Teardown to Notion
On demand, an agent researches a specific competitor launch end to end and produces a full teardown — positioning, target user, pricing, and our likely response.
How it runs
The automated pipeline, trigger to output.
- TriggerManual run with launch URL
- ActionGather coverage and analyst takesPerplexity
- ActionPull competitor product and pricing pagesFirecrawl
- LogicSynthesize structured teardown and response
- ActionWrite teardown to NotionNotion
- OutputPost heads-up to SlackSlack
What it does
Given a competitor launch URL or name, an agent runs a multi-step investigation: it gathers the announcement, related coverage, and pricing, then synthesizes a structured teardown covering positioning, target segment, pricing model, strengths, gaps, and a recommended response. The finished brief lands in Notion and a heads-up is posted to Slack.
When to use it
Use it when a launch genuinely matters and a one-line alert isn't enough — you need a shareable analysis to brief leadership or shape a counter-move, without spending a half-day assembling it yourself.
How it works
- 1A manual trigger starts the run with the launch URL or competitor name.
- 2The agent uses Perplexity to gather the announcement plus third-party coverage and analyst takes.
- 3It uses Firecrawl to pull the competitor's own product and pricing pages for primary detail.
- 4The agent reasons over everything and drafts the structured teardown with a recommended response.
- 5The teardown is written to Notion and a summary with the link is posted to Slack.
Set it up
What you configure once, before turning it on.
- 1Connect PerplexitySearch-grounded answers with citations.
- 2Connect FirecrawlCrawl, scrape, structured extract.
- 3Connect NotionPages, databases, comments.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, 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.
