CONTENT CREATION

Detect Decaying Evergreen Pages and Queue Rewrites in Notion

Runs weekly against BigQuery search analytics to find evergreen URLs whose organic clicks dropped versus their trailing baseline.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly Monday schedule
  • ActionQuery trailing 28-day vs 12-week baseline clicksGoogle BigQueryBigQuery
  • LogicKeep pages down >25% with real baseline traffic
  • ActionDraft rewrite brief per pageOpenAI
  • OutputCreate prioritized rewrite card in NotionNotionNotion

What it does

Every Monday it scans your Search Console export in BigQuery, compares each page's last-28-day organic clicks against its prior 12-week median, and flags pages that have lost meaningful traffic. Each flagged page becomes a Notion task with the decay percentage, current rank, and a one-line rewrite brief.

When to use it

Use it when you have a library of evergreen articles and no systematic way to catch the ones quietly sliding down the SERP. It turns "we should refresh old posts someday" into a ranked, ready-to-assign queue.

How it works

  1. 1A weekly schedule fires the workflow Monday morning.
  2. 2A BigQuery query pulls per-URL clicks for the trailing 28 days plus the 12-week median baseline.
  3. 3A logic step keeps only pages down more than 25 percent that still had real traffic at baseline, filtering out noise from low-volume URLs.
  4. 4OpenAI drafts a short rewrite brief per page — what likely went stale and what to update.
  5. 5The workflow creates one Notion database card per page with decay, brief, and priority, ready for the content team to pick up.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect NotionPages, databases, comments.
  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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