MARKETING

Snippet Stolen by Competitor Teardown

When a competitor takes a featured snippet you used to own, this fetches their winning page, has AI compare it against yours.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule starts competitor check
  • ActionGet current snippet owner per keyword from Brave SearchBraveBrave Search
  • LogicKeep keywords now owned by a tracked competitor
  • ActionScrape competitor and own page with FirecrawlFirecrawl
  • ActionGenerate side-by-side teardown with OpenAIOpenAI
  • OutputCreate teardown page in Notion backlogNotionNotion

What it does

It watches your owned snippets and, the moment a named competitor displaces you, pulls the competitor's ranking page and your current page, then produces a side-by-side teardown: what they answer that you don't, format differences, and a prioritized edit list to reclaim the snippet.

When to use it

Use this when you already know who your snippet rivals are and want the reason behind a loss, not just the alert. It is built for the case where winning the snippet back is worth a focused page rewrite.

How it works

  1. 1A daily schedule starts the check.
  2. 2Brave Search returns the current snippet owner for each protected keyword.
  3. 3A logic step keeps only keywords now owned by a tracked competitor domain.
  4. 4Firecrawl scrapes the competitor's winning URL and your current page.
  5. 5OpenAI compares both and writes a teardown with coverage gaps, structure notes, and ranked edits.
  6. 6The teardown is created as a Notion page in your SEO backlog, tagged with the keyword and competitor.

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 NotionPages, databases, comments.
  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.

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