A possible crisis often starts as one specific claim: an outage, a safety problem, a scam warning, or a customer saying they cannot get help. The useful outcome is getting that claim to the right person while the source and context are still clear.
This social media crisis management workflow builds a review queue without declaring that every negative post is a crisis.
SocialListeningAPI searches public posts on X, Reddit, LinkedIn, TikTok, and YouTube plus Google results. Its MCP returns normalized records with source URLs. Your external agent handles scheduling, storage, classification, and delivery.
Step 1: Define the social media crisis management rules
Pair the brand name with terms that describe a real risk:
brand outagebrand data breachbrand unsafebrand scambrand refundbrand cannot contact support
Write a plain inclusion rule. Keep a result when it makes a specific claim, reports a current failure, or shows several people describing the same problem. Do not escalate a vague insult or an unrelated name match.
Step 2: Run the crisis monitoring searches through the MCP
Create a SocialListeningAPI account, claim the 100 free credits, and connect the MCP to Claude or ChatGPT through OAuth.
Ask Claude or ChatGPT to run the approved searches:
Search X, Reddit, LinkedIn, TikTok, YouTube, and Google for each query below. Return the source,
published date, exact claim, affected product, and URL. Put uncertain or context-free matches in a
separate section. Do not assign sentiment and do not contact anyone.
Queries:
- brand outage
- brand data breach
- brand unsafe
- brand cannot contact support
One query across these six sources costs up to 7 credits: 2 for LinkedIn and 1 for each other successful search. Run the query set manually before creating any recurring workflow.
Step 3: Create the external review queue
Use an external MCP-capable agent and scheduler for recurring runs. Store source URL, query, first seen time, published time, claim, and review status in an external database. Skip URLs already seen.
The external agent may suggest labels such as service failure, safety, fraud, billing, support, or unknown. SocialListeningAPI does not provide native scheduling, alerts, sentiment analysis, or crisis scoring.
Step 4: Verify before escalating
A person should open the source, check whether the claim is current, and look for a second source or an internal incident. Send the original URL and a short factual summary to the named owner. Keep public replies and legal or safety statements under human control.
If the source is Reddit, read the community rules before replying. Many communities restrict company promotion and AI-written comments.
Conclusion
Begin with the few risks that need a fast response. A small queue with clear sources is more useful than a large feed of negative words.
The expected result is an early warning queue, not a claim that a crisis exists. A qualified person still decides what happened and what to do next.
Continue with Build Brand Mention Alerts With an API.




