MARKET RESEARCH
New Competitor Discovery and Pricing Enrollment
Weekly searches the web for newly surfaced competitors in your category, locates each one's pricing page, captures a baseline snapshot to Coda.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly discovery schedule triggers
- ActionExa searches category for new competitorsExa
- LogicFilter out known competitors and noise
- ActionFirecrawl scrapes each candidate pricing pageFirecrawl
- ActionWrite baselines to Coda as pending entriesCoda
- OutputSlack prompt to approve enrollmentSlack
What it does
It proactively finds competitors you aren't yet tracking. On a weekly run it searches for new or rising players in your category, resolves each candidate's pricing page URL, scrapes a baseline snapshot, and stores it as a pending entry in Coda. The team gets a Slack prompt to approve adding each new competitor to the recurring diff pipeline.
When to use it
Use it in fast-moving categories where new entrants and rebrands appear constantly and your watchlist goes stale. It keeps the tracked set complete without manual discovery work.
How it works
- 1A weekly schedule triggers discovery.
- 2Exa searches the category for competitor names and product pages not already on the watchlist.
- 3A logic step filters out known competitors and noise, keeping genuine new candidates.
- 4Firecrawl locates and scrapes each candidate's pricing page for a baseline snapshot.
- 5The baselines are written to Coda as pending, untracked entries.
- 6A Slack message lists the candidates with approve/skip prompts to enroll them into ongoing tracking.
Set it up
What you configure once, before turning it on.
- 1Connect ExaNeural search across the web.
- 2Connect FirecrawlCrawl, scrape, structured extract.
- 3Connect CodaDocs, packs, automations.
- 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.