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.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly schedule starts run
  • ActionRun domain-scoped Brave Search per competitorBraveBrave Search
  • ActionExtract distinctive terms with Hugging Face modelHugging FaceHugging Face
  • LogicClassify each term as new, fading, or steady vs last month
  • OutputPublish lexicon-drift report to NotionNotionNotion

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

  1. 1A monthly schedule starts the run.
  2. 2Brave Search runs site-scoped queries per competitor domain.
  3. 3A Hugging Face model extracts the distinctive terms from each competitor's results.
  4. 4A logic step compares the extracted terms to last month and labels each as new, fading, or steady.
  5. 5The classified drift report is published as a Notion page.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Brave SearchWeb, news, image, video search.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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