MARKET RESEARCH
Competitor Lexicon Drift Tracker
Monthly, runs Brave Search restricted to a set of competitor domains, extracts the distinctive terminology each one is now pushing, classifies shifts versus last month.
How it runs
The automated pipeline, trigger to output.
- TriggerMonthly schedule starts run
- ActionRun domain-scoped Brave Search per competitorBrave Search
- ActionExtract distinctive terms with Hugging Face modelHugging Face
- LogicClassify each term as new, fading, or steady vs last month
- OutputPublish lexicon-drift report to NotionNotion
What it does
Once a month it queries Brave Search with domain-scoped searches across your tracked competitors, pulls the language showing up in their titles and snippets, and uses a model to extract the distinctive terms each competitor is leaning into. It then classifies each term as newly adopted, fading, or steady relative to last month's snapshot and compiles a lexicon-drift report.
When to use it
Use it when you need to track how rivals are reframing their messaging over time — which words they are adding to their vocabulary and which they have dropped. Useful for competitive intelligence and quarterly strategy reviews.
How it works
- 1A monthly schedule starts the run.
- 2Brave Search runs site-scoped queries per competitor domain.
- 3A Hugging Face model extracts the distinctive terms from each competitor's results.
- 4A logic step compares the extracted terms to last month and labels each as new, fading, or steady.
- 5The classified drift report is published as a Notion page.
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 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.
