MARKETING

Daily Featured-Snippet Loss Sweep to Asana Refresh Backlog

Runs a daily Brave Search check across your tracked keywords, flags any page that lost a featured snippet or People-Also-Ask slot since yesterday.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires the sweep
  • ActionQuery Brave Search for each tracked keywordBraveBrave Search
  • ActionLoad yesterday's SERP snapshot from BigQueryGoogle BigQueryBigQuery
  • LogicKeep only keywords where a snippet was lost
  • ActionCreate a content-refresh task per loss in AsanaAsanaAsana
  • OutputWrite today's SERP state back to BigQueryGoogle BigQueryBigQuery

What it does

Every morning this workflow queries Brave Search for each keyword you track, inspects the SERP for feature elements (featured snippet, PAA, sitelinks) owned by your domain, and compares the result to yesterday's stored snapshot. When a snippet you previously held disappears, it opens an Asana task in your content-refresh project with the keyword, the URL that lost the slot, and who now occupies it.

When to use it

Use it when organic traffic depends on snippet real estate and you need same-day alerting instead of waiting for a monthly rank report. Best for content and SEO teams who already triage refresh work in Asana.

How it works

  1. 1A daily schedule fires the run.
  2. 2For each tracked keyword, the workflow calls Brave Search and parses the SERP feature blocks.
  3. 3It loads yesterday's snapshot from BigQuery and diffs feature ownership per keyword.
  4. 4A filter keeps only keywords where your domain held a feature yesterday but lost it today.
  5. 5For each loss, an Asana task is created with keyword, lost URL, and the displacing competitor.
  6. 6Today's full SERP state is written back to BigQuery for tomorrow's comparison.

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 AsanaTasks, projects, milestones — everywhere.
  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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