MARKETING

AI content-fix triage agent for SEO regressions

When a deploy regresses a landing page's SEO, an agent inspects the live page, drafts a specific content or technical fix.

CategoryMarketing
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps4
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVercel production deploy succeedsVercelVercel
  • ActionCrawl pages and flag regressionsFirecrawl
  • LogicAgent diagnoses root cause and drafts fixOpenAI
  • OutputCreate content-fix task in NotionNotionNotion

What it does

Turns a raw regression signal into an actionable content brief. After a deploy regresses a page, an agent re-reads the live page, figures out the likely cause, and drafts the actual fix: rewritten meta description, a thinner-script recommendation, or a clearer H1. It files that as a structured Notion task the content team can pick up without further investigation.

When to use it

Use it when your regressions usually need a human content decision, not just a metric alert. The agent does the diagnostic legwork and proposes copy, so the task that lands is half-done rather than a vague 'page got slower' ticket.

How it works

  1. 1A Vercel deploy webhook fires after a successful production deploy.
  2. 2Firecrawl crawls the landing pages and flags those that regressed against baseline.
  3. 3For each flagged page, the agent fetches the live content and reasons about the root cause.
  4. 4The agent drafts a concrete fix with proposed copy and rationale.
  5. 5A Notion task is created in the content backlog with the page, diagnosis, and ready-to-use draft.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect VercelDeploys, runtime logs, analytics.
  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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