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Second-Level Public Opinion Crisis Radar: Automated Negative Alert Starting at 30k CNY/Year

Workflow: Every day at midnight, the system automatically synchronizes brand-related mention data from across the entire web for t

AGENT

Key Fields

FIELD STAMPS

IndustryMarketing / Advertising

RegionChina（中国大陆）

ScaleSME

ChannelOnline

🔧 Workflow

Every day at midnight, the system automatically synchronizes brand-related mention data from across the entire web for the previous 24 hours. It filters out normal content using sentiment analysis and custom keyword rules, scores negative content for dissemination potential, and immediately triggers a WeChat alert pushed to the client contact group when thresholds are exceeded. Simultaneously, it invokes Large Language Models combined with the enterprise's historical PR cases to generate 3 draft statements, attached with the crisis level, list of involved accounts, and handling recommendations. The client only needs to review them manually before publishing, while all other processes are fully automated and managed.

🛠 Setup Requirements

Step 1: Subscribe to the basic version of Lisi Public Opinion Monitoring SaaS or SVICN Intelligence Agent to gain access to omni-channel data integration permissions. Step 2: Build an automated workflow using n8n, configuring four nodes: data ingestion, sentiment analysis, LLM invocation, and WeChat pushing. No complex coding skills are required; familiarity with visual workflow building is sufficient. Step 3: Customize keyword libraries and statement templates based on the client's industry. The entire setup cycle takes about 1-2 weeks, and the total initial capital does not exceed 20,000 CNY.

🧰 Toolchain

🔧 Lisi Public Opinion Monitoring SaaS
🔧 SVICN Intelligence Agent
🔧 n8n
🔧 LLM API

💰 Revenue

① SME Brand Annual Monitoring Subscription (Main Revenue): Small and medium-sized brands and logistics enterprises pay an annual subscription fee. 30,000 CNY/client/year × 10 SME clients = 300,000 CNY/year (approx. 25,000 CNY/month). About 60% of annual revenue comes from this stream (ratio estimated from case data, not independently verified by third parties, applicable as of 2026); ② Large Enterprise Annual Fees: 1-2 large clients signed at 80,000-100,000 CNY/client/year = 80,000-200,000 CNY/year, accounting for approximately 21%-40% of annual revenue (also estimated from cases, without external verification); ③ Delivery Efficiency Premium - Minute-Level Alerts & AI Statement Drafts: Delivered bundled with the annual fee, featuring 7x24 hours, 20+ platform types, and 5-minute updates replacing 3-5 hours/day of manual reporting. Not priced separately, nor sold in separate units (capabilities described based on self-disclosure by the company); ④ Opportunity Items: Additional purchases by monitoring platform count or keyword groups: self-service add-ons targeted at SME brands. Neither the add-on pricing nor the revenue volume it generates is publicly available.

💸 Cost

The annual fee for the basic version of Lisi Public Opinion Monitoring SaaS is about 8,000 CNY, and the SVICN Intelligence Agent subscription fee is about 12,000 CNY/year. LLM API call fees are about 200 CNY/month. Total initial startup cost is under 20,000 CNY, with no other fixed costs.

⏱ Time Investment

Dedicate 2-3 hours daily to review alert information, adjust keyword libraries, and optimize statement draft templates (approx. 15 hours per week). The rest of the process runs fully automated without manual intervention.

🚀 Getting Started

Novices should first register for a trial account of Lisi Public Opinion Monitoring or SVICN Intelligence Agent to familiarize themselves with the data dashboard, alert rule settings, and API invocation interfaces. Second, use n8n to build an automated workflow, testing the full process of public opinion data reception, sentiment analysis, LLM draft generation, and WeChat pushing. Third, screen 3 local SME clients with brand promotion needs, offer trial services at 30,000 CNY/year, and scale customer acquisition after running through the delivery process successfully.

🔑 Keys to Success

✅ Alerts must be minute-level and delivered directly to the enterprise contact's WeChat; daily reports alone are not sufficient.
✅ Statement drafts must have a built-in enterprise historical PR case library and industry compliance rules to avoid template-driven secondary public crises.
✅ Negative dissemination thresholds must be dynamically adjusted according to brand industry characteristics; fast-moving consumer goods thresholds are much lower than those for To B enterprises.
✅ A keyword whitelist must be set up to filter normal customer complaints and reduce false positive rates.

⚠️ 风险

⚠️ False alarms in public opinion will lead to a loss of client trust; manual review stages and keyword whitelists must be configured.
⚠️ Enterprise monitoring data involves commercial secrets; non-disclosure agreements must be signed, and data sources must be ensured to be legal and compliant.
⚠️ If monitoring platforms adjust crawler rules, it may lead to data interruption, requiring backup multi-source data interfaces.

📌 Real Cases

📌 SVICN Intelligence Agent released its official introduction via iResearch in July 2026, officially entering commercial use and serving multiple consumer brands.
📌 Lisi Public Opinion Monitoring System launched a crisis PR early warning solution for the logistics industry, achieving 7x24 hour omni-channel monitoring and WeChat minute-level alerts, which has been implemented by logistics enterprise clients.
📌 A domestic new consumer brand utilized this type of AI monitoring service in 2025, receiving an alert and an adapted statement draft within 12 minutes after a negative raw material controversy broke out, avoiding further spread of the public opinion.

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