SOCIAL MEDIA
Brand mention triage: escalate viral negative spikes to on-call
Detects sudden surges of negative brand mentions and pages the on-call comms lead via PagerDuty with a context summary before a complaint becomes a crisis.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled scrape of recent mentionsApify
- ActionScore sentiment and compute negative rate
- LogicFire only on negative-spike threshold
- ActionSummarize the incident clusterPerplexity
- OutputOpen PagerDuty incident and page on-callPagerDuty
What it does
Tracks the rolling volume and sentiment of brand mentions and watches for an abnormal spike in negative posts. When a likely PR incident is forming, it pages the on-call communications lead with a tight summary of what's blowing up and where, so a human is engaged in minutes rather than hours.
When to use it
When a single viral complaint or a coordinated pile-on can do real damage and you can't rely on someone happening to refresh a dashboard. This is your early-warning siren for reputational fires.
How it works
- 1A scheduled scrape collects the latest brand mentions across platforms via Apify.
- 2Sentiment is scored and the negative-mention rate is compared against the recent baseline.
- 3A branch fires only when the negative spike exceeds the alert threshold.
- 4Perplexity summarizes the cluster of posts into a plain-language situation brief with likely cause.
- 5A PagerDuty incident is opened and the on-call comms lead is paged with the brief and source links.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect PerplexitySearch-grounded answers with citations.
- 3Connect PagerDutyIncidents, on-call, escalations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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