LEAD GENERATION

Weekly Brave Discovery Roll-up into BigQuery

Each week runs the full keyword watchlist through Brave Search, deduplicates against the warehouse.

CategoryLead Generation
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionBrave Search each watchlist keyword with rankBraveBrave Search
  • ActionQuery BigQuery for already-known accountsGoogle BigQueryBigQuery
  • LogicFilter out known domains, keep net-new
  • ActionAppend net-new accounts with metadata to BigQueryGoogle BigQueryBigQuery
  • OutputSlack post: weekly count and top keywordsSlack

What it does

This workflow builds a durable, queryable history of category discovery. Weekly it searches every watchlist keyword in Brave, deduplicates candidates against the accounts already in BigQuery, and appends only net-new companies as rows carrying the keyword, rank, discovery week, and source URL, so analysts can chart which niches are heating up over time.

When to use it

Use it when discovery should feed analytics and downstream routing, not just a rep's inbox. The warehouse table becomes the single source of truth for net-new account flow and can power dashboards or scheduled exports into any CRM.

How it works

  1. 1A weekly schedule starts the run.
  2. 2Brave Search runs each watchlist keyword, capturing rank and URL.
  3. 3A logic step normalizes results to domains and queries BigQuery for already-known accounts.
  4. 4Known domains are filtered out, leaving only net-new companies.
  5. 5New accounts are appended to the BigQuery discovery table with full metadata.
  6. 6A Slack message posts the week's net-new count and the top keywords by volume.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Brave SearchWeb, news, image, video search.
  2. 2
    Connect BigQueryDatasets, queries, schemas.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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