SOCIAL MEDIA

Escalate negative brand-mention spikes to the comms on-call

Watches a rolling window of social mentions, scores their sentiment, and pages the communications on-call in PagerDuty the moment negative volume breaks past your baseline.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEvery few minutes (schedule)
  • ActionScrape recent brand mentionsApify
  • ActionScore sentiment per mentionOpenAI
  • LogicNegative share over baseline?
  • ActionOpen incident for comms on-callPagerDutyPagerDuty
  • OutputPost incident + top mentionsSlack

What it does

It continuously samples public mentions of your brand, classifies each one's sentiment, and compares the share of negative mentions against a rolling baseline. When negativity spikes past your threshold, it opens a PagerDuty incident routed to the comms on-call and drops a summary in Slack so the responder has context before they even open the alert.

When to use it

Use it when your brand is large enough that a bad tweet can snowball overnight and you can't have a human watching the feed at 2am. It's the difference between hearing about a crisis from your CEO and hearing about it from your own alerting.

How it works

  1. 1A scheduled trigger fires every few minutes.
  2. 2Apify scrapes recent public mentions across the platforms you track.
  3. 3OpenAI scores each mention's sentiment and pulls a one-line reason.
  4. 4A logic step computes the negative share and compares it to the rolling baseline.
  5. 5If the spike clears the threshold, PagerDuty opens an incident for the comms on-call.
  6. 6Slack posts the incident link plus the top offending mentions to your war-room channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect PagerDutyIncidents, on-call, escalations.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.