OTHER

Brand-Name Misuse Sweep with Evidence Capture to Legal

Searches the web for unauthorized uses of your brand name on a schedule, captures page evidence.

CategoryOther
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires the sweep
  • ActionBrave Search the web for brand-name misuse signalsBraveBrave Search
  • ActionFirecrawl scrapes each result page to full textFirecrawl
  • ActionOpenAI classifies infringing vs. benignOpenAI
  • LogicDrop fair-use and unrelated pages
  • OutputFile confirmed cases to Airtable legal queueAirtableAirtable

What it does

Runs a recurring web sweep for misuse of your brand name and trademark across the open web, then turns ambiguous hits into a triaged, evidence-backed queue your legal team can act on. Each confirmed case lands in Airtable with the offending URL, captured page text, and a classification (counterfeit, impersonation, fair use, unrelated).

When to use it

Use it when your brand name is common enough to be abused and you need a standing watch rather than ad-hoc Googling. Good for trademark holders who want a defensible paper trail before sending takedown or cease-and-desist letters.

How it works

  1. 1A weekly schedule kicks off the sweep.
  2. 2Brave Search queries the web for your brand name plus misuse signals ("official", "discount", "replica").
  3. 3Firecrawl scrapes each result page to full text for evidence.
  4. 4An OpenAI classifier labels each hit as infringing or benign and drafts a one-line rationale.
  5. 5A filter drops fair-use and unrelated pages.
  6. 6Confirmed infringements are written to an Airtable legal-review table with URL, scraped evidence, and label.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Brave SearchWeb, news, image, video search.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect AirtableBases, tables, views, automations.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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