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AI crisis detection that warns you hours before it blows up

GrowthMeteor's crisis agent watches negative mentions across Reddit, X, LinkedIn and YouTube, forecasts when they are accelerating toward a crisis, and explains the root cause so you act before it peaks, not after.

Crisis agentforecast live
Meterr/SaaS · usage-based billing

Negativity is accelerating. On track to hit crisis levels in ~3h.

negative mentions / houraccelerating
now: ~1.2/hr, risingcrisis line
root causemood: frustrated
overage chargesinvoice errorssupport delays

“Got hit with a surprise overage on Meter this month and support still hasn’t replied. Done.”

!High severity. Escalated to #brand-watch on Slack. sent

By the time a crisis is obvious, it has already cost you.

Most reputation tools only fire once negativity has already spiked, when the thread is on the front page and the damage is done. They hand you a red number with no explanation, so you waste the first hour figuring out what is even happening. A brewing crisis has a shape long before it peaks: negative mentions start accelerating. GrowthMeteor is built to catch that acceleration early and tell you exactly what is driving it.

  • ×Alerts that fire only after a crisis has already gone wide
  • ×A severity score with no root cause, so you lose time diagnosing it
  • ×Negative threads spreading overnight while no one is watching
How it works

How AI crisis detection works in GrowthMeteor

Step 1

Forecast the spike before it lands

The crisis agent buckets negative mentions by the hour, fits the rate's velocity and acceleration, and projects it ~6 hours forward. When negativity is accelerating toward crisis levels, you get a plain-language warning like "on track to hit crisis levels in ~3h," before the spike, not after.

Negativity forecast live
observed projected +6h crisis
crisisnow
!
On track to hit crisis levels in ~3h
negativity accelerating, flagged before the spike
Step 2

Get the root cause, not just a score

Every alert carries the why: the dominant emotion, the top driver topics, sample mentions and any past playbooks for handling it. The math (current rate, acceleration, projected rate) is surfaced too, so a human can sanity-check it instead of trusting a black box.

Why it’s firing live
dominant emotionfrustration
top driver topics
invoice mis-billing
84%
usage overage charges
61%
support response time
37%
u/billing_burned · r/SaaS live signal

“Third overage charge from Meter we can’t explain. If support doesn’t reply today we’re churning.”

PPast playbook: “Billing dispute, March” — pin a status reply, DM affected users.
Step 3

Route it where you will actually see it

High-severity alerts escalate to Slack, Teams, email or your CRM when you allow it. Until you raise the crisis agent's autonomy, alerts stay suggest-only and wait for review; a sensitivity dial sets how early it acts.

Escalation routing live
Slack
#crisis-room
routing…
Email
on-call rotation
routing…
CRM
HubSpot ticket
routing…
!Autonomy: suggest-only — high-severity alert held for your review.
sensitivitybalanced
quieteracts earlier
Who it’s for

Built for B2B SaaS teams who can't watch social 24/7

If a billing outage thread or a pricing backlash could spread overnight while no one is online, the crisis agent is your always-on early-warning system, with the context to act fast and the controls to stay in charge.

Founders

Get woken up only when negativity is genuinely accelerating, with the root cause already explained.

Comms & brand

Catch a brewing crisis hours early and walk in with the driver topics, mood and evidence in hand.

Growth teams

Protect hard-won reputation in the communities where your buyers research, without staffing a 24/7 desk.

FAQ

Crisis detection questions, answered

How does GrowthMeteor predict a crisis before it happens?
The crisis agent measures how fast negative mentions are arriving, then fits the velocity and acceleration of that rate and projects it forward about six hours. When the trend is accelerating and projects past crisis levels, it warns you early. The method is deterministic and explainable, so the underlying numbers are shown alongside the alert.
Is the crisis alert just a score, or does it explain itself?
It explains itself. Every alert carries the dominant emotion, the top driver topics, sample mentions and any past playbooks, plus the rate and projection behind it, so you can verify it and act with context instead of trusting a black box.
Where do crisis alerts get sent?
High-severity alerts can escalate to Slack, Microsoft Teams, email or your CRM (Salesforce, HubSpot, Zendesk, Intercom) when you connect them and allow it. Until you raise the crisis agent's autonomy above suggest-only, alerts wait in-app for review rather than auto-escalating.
Can I control how sensitive the crisis detection is?
Yes. The crisis agent has a sensitivity dial, low, balanced or high. Higher sensitivity is more protective and fires on weaker, earlier signals; lower sensitivity stays quieter and only flags strong ones. You set the autonomy separately, so it can suggest, act within limits, or escalate automatically.

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