MARKET RESEARCH
Emerging-Terminology Watcher to Positioning Brief
Scans Brave Search weekly for an industry's vocabulary, flags terms whose result volume is climbing fastest.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionRun Brave Search for each tracked termBrave Search
- LogicDiff result counts vs last snapshot, keep fast-rising terms
- ActionDraft positioning angle per term with Hugging Face modelHugging Face
- ActionAppend rising terms to Airtable trend logAirtable
- OutputEmail positioning brief via OutlookOutlook
What it does
Every week it runs a fixed list of Brave Search queries for your industry, records how many results each term returns, and compares against the prior run to find vocabulary that is gaining traction. The rising terms are handed to a model that drafts a short positioning brief — what the term means, why it is surfacing now, and the angle your product should take. The brief lands in Airtable and an Outlook email.
When to use it
Use it when you want an early read on language shifts in your space — new buzzwords, reframed categories, or competitor coinages — before they show up in every RFP. Good for product marketing and founders who set messaging.
How it works
- 1A weekly schedule fires the run.
- 2Brave Search queries each tracked term and captures result counts and top titles.
- 3A logic step diffs counts against the last snapshot and keeps terms above a growth threshold.
- 4A Hugging Face model summarizes each rising term into a positioning angle.
- 5Rows are written to an Airtable trend log.
- 6A digest email goes out via Outlook.
Set it up
What you configure once, before turning it on.
- 1Connect Brave SearchWeb, news, image, video search.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Connect AirtableBases, tables, views, automations.
- 4Connect OutlookMail, calendar, contacts.
- 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
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.
