Spot a brewing brand crisis early by having an agent watch social posts, reviews and support messages for unusual spikes: AI agent prompt

A bad product batch, a viral complaint or a rude staff video can spread for hours before anyone on the team notices, and by then the story is set. AI agents can scan social mentions, reviews and support messages, spot an unusual jump in a complaint or negative tone, show who is spreading it, and draft a response plan. On Oct 22, 2026 Sprinklr announced its Voice of the Customer agent suite in Google's Gemini Enterprise Agent Marketplace, including a Crisis Monitoring agent that detects emerging issues, assesses how far they are spreading, identifies key amplifiers and supports response planning, alongside agents for brand health and competitor benchmarking.

Curated by AgentPlaybook Real Estate · How we make and check prompts

MarketingBrand crisis early warningintermediate

The prompt

Here are our brand mentions from the last 72 hours: [paste social posts, reviews and support messages with date, platform and follower count if known]. Here is what a normal week looks like for us: [typical number of mentions per day and usual complaints]. 1) Compare the last 72 hours to normal and tell me if any topic, complaint or product is spiking. Show the numbers. 2) For anything spiking, summarize what people are saying in plain words with 3 real quotes, when it started, and the 5 accounts with the most reach that are spreading it. 3) Rate the risk as low, medium or high and explain why. 4) Draft a holding statement, a reply template for customers who ask, and a short note for our team about what to do and not say. 5) Tell me what to watch over the next 24 hours. Only use the posts I gave you; don't guess at anything not shown.
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  1. Copy the prompt above.
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  3. Paste it into ChatGPT, Claude, Gemini and review the answer before you use it.

Works with: ChatGPT, Claude, Gemini, Perplexity, Google Alerts, Buffer

Real-world example: investors.sprinklr.com/news/press-releases/detail/265/sprinklr-announc

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