MARKETING

Autonomous Snippet Recovery Agent

An agent that detects a featured snippet loss, investigates the winning page, drafts the rewritten passage and updated FAQ, opens a Linear ticket with the draft attached.

CategoryMarketing
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule wakes the recovery agent
  • ActionDetect snippet losses in Brave SearchBraveBrave Search
  • ActionScrape and reason over winning page via FirecrawlFirecrawl
  • LogicDraft rewritten passage and FAQ fix
  • ActionOpen Linear issue with draft attachedLinearLinear
  • OutputNotify page owner in Slack to reviewSlack

What it does

This is an agent-driven recovery loop. When a tracked keyword loses its snippet, the agent decides what evidence it needs, scrapes the competitor's winning page, writes the actual replacement passage and structured FAQ block tuned to win the snippet back, then files the work as a ready-to-implement ticket and pings the page owner.

When to use it

Use this when you want recovery work produced, not just diagnosed. It suits teams who would otherwise spend an afternoon researching and drafting a fix and would rather review a finished draft.

How it works

  1. 1A daily schedule wakes the agent.
  2. 2The agent checks tracked keywords in Brave Search and identifies snippet losses.
  3. 3For each loss it scrapes the winning page with Firecrawl and reasons about why it won.
  4. 4The agent drafts the rewritten passage and FAQ markup as the proposed fix.
  5. 5It opens a Linear issue with the draft, keyword, and competitor context attached.
  6. 6It posts a Slack note to the page owner to review and ship.

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 LinearIssues, projects, cycles, triage.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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