SOCIAL MEDIA

Mention-Spike War-Room Doc Builder in Notion

On a detected mention spike, an agent investigates the driving posts, summarizes the narrative, and creates a structured Notion war-room page with top posts, sentiment…

CategorySocial Media
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSpike-detected webhookHTTP webhook
  • ActionFetch posts in spike windowApify
  • LogicCluster themes, score sentiment, find source
  • ActionCreate war-room pageNotionNotion
  • OutputSend page link to comms leadSlack

What it does

Turns a raw spike signal into a ready-to-use incident page. An agent reads the spiking posts, identifies what story is spreading, gauges sentiment, and writes a Notion page comms can open and act on — no manual triage of dozens of links.

When to use it

Use this when a spike needs more than an alert: a shared workspace where the comms lead, PR, and leadership can align on what's happening and what to say. Best for teams that already run incidents out of Notion.

How it works

  1. 1A spike-detected webhook fires from your monitoring step.
  2. 2Apify pulls the full set of posts in the spike window.
  3. 3An agent reads the posts, clusters them by theme, scores overall sentiment, and identifies the originating source.
  4. 4The agent drafts talking points and a suggested response posture (engage, monitor, escalate).
  5. 5A Notion page is created from a war-room template with the narrative summary, top posts table, sentiment, and the draft plan.
  6. 6A Slack link to the new page is sent to the comms lead.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect HTTP webhookTrigger any URL on agent actions.
  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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