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Crisis PR Statement Draft AI Outsourcing: Annual Fee of 60k CNY to Stop Negativity

Workflow: The system operates 24/7. First, it crawls user-generated content, news reports, and user comments mentioning cooperativ

AGENT

Key Fields

FIELD STAMPS

IndustryMarketing / Advertising

RegionChina

ScaleSME

ChannelOnline

🔧 Workflow

The system operates 24/7. First, it crawls user-generated content, news reports, and user comments mentioning cooperative brands across the entire internet (covering Weibo, Douyin, Xiaohongshu, Dianping, Zhihu, local lifestyle forums, news clients, etc.) via crawler interfaces and third-party sentiment monitoring APIs. A built-in multi-dimensional sentiment analysis model evaluates content for positive/negative polarity and dissemination weights. Once the dissemination volume or sentiment score of a negative mention falls below a preset threshold, the large model is immediately triggered to generate statement drafts tailored to the communication tone and PR compliance requirements of different platforms. Simultaneously, early warning information, risk levels, dissemination path analysis reports, and drafts are pushed to the enterprise WeChat or DingTalk contact designated by the client. The client only needs to make minor brand compliance adjustments to the draft for direct publication, with the entire process traceable and fully logged.

🛠 Setup Requirements

First, procure compliant third-party sentiment monitoring interfaces (such as open APIs from Shiji Information or Leshi Sentiment) to obtain real-time data on omni-channel brand mentions. Integrate domestic large model APIs such as DeepSeek and Tongyi Qianwen, and train an exclusive prompt library tailored for PR statement generation, covering copywriting styles, dissemination rules, and compliance requirements across platforms like Weibo, Douyin, and Dianping. Set up automated push bot channels for enterprise WeChat or DingTalk. The overall setup cycle takes about 2 weeks, requiring only basic automated tool configuration skills (such as n8n or Feishu Multi-Dimensional Tables) and prompt engineering capabilities without complex code development, allowing a single person to complete the full process setup and deployment.

🧰 Toolchain

🔧 Shiji Sentiment Monitoring Interface
🔧 DeepSeek Large Model API
🔧 Enterprise WeChat Bot
🔧 n8n Automation Tool

💰 Revenue

Subscription-based SaaS service fees are charged annually, with a single enterprise annual fee ranging from 50,000 to 80,000 RMB. For brand clients with hundreds of chain stores, annual fees can range from 100,000 to 150,000 RMB. Securing 20 clients of varying scales can generate annual revenues of 1 to 1.6 million RMB. Combined with renewals from existing clients (industry average retention rates can reach over 85%), second-year revenue can exceed 2 million RMB, representing a sustainably growing compound revenue model.

💸 Cost

Annual operational costs per client mainly include a pro-rated third-party sentiment monitoring interface annual fee of about 8,000 RMB, large model API call fees of about 6,000 RMB/year, enterprise WeChat bot annual fee of 399 RMB, and server and automation tool annual fees of about 1,000 RMB. The total annual operational cost per client is less than 16,000 RMB, with gross profit margins reaching over 70%. Using proprietary crawlers to collect public channel data can further reduce monitoring interface costs, boosting gross profit margins to over 85%.

⏱ Time Investment

Spend 1 hour daily inspecting early warning triggers, adjusting sentiment thresholds based on actual negative events, optimizing prompts for PR statement drafts, and following up on client revision feedback. Spend 2 hours weekly meeting with clients to iterate system functions, update brand keyword libraries, and platform corpora. Time investment is extremely low, suitable for individuals or small teams operating part-time.

🚀 Getting Started

The first step is to screen 3-5 local or online-enabled catering, beauty, or retail chain brand clients, prioritizing those with Dianping or Douyin stores and a record of customer complaints and negative feedback over the past six months. Provide them with a free 7-day trial service, offering WeChat minute-level early warnings and actual generated PR statement draft samples. Use the actual intercepted negative events and ready-to-use draft results to convince clients to sign contracts, initially negotiating annual cooperation contracts worth 50,000 to 80,000 RMB. Once signed, rapidly replicate the model to expand to more clients in the same industry.

🔑 Keys to Success

✅ Sentiment threshold accuracy
✅ Statement draft compliance and liability exemption capability
✅ Minute-level response speed
✅ Multi-platform copywriting adaptability
✅ Brand keyword library comprehensiveness

⚠️ 风险

⚠️ Inappropriate wording in statement drafts may trigger secondary brand PR crises
⚠️ Failing to flag high-risk negative signals leading to client brand losses may incur breach-of-contract liabilities
⚠️ Sentiment interfaces missing long-tail platform content leading to delayed early warnings
⚠️ Client brand data leaks triggering compliance risks
⚠️ Negative event dissemination speed exceeding the system response upper limit, causing interception failure

📌 Real Cases

📌 In 2025, Leshi Sentiment Monitoring System provided 24/7 crisis early warning agent operations for a top domestic express delivery and logistics enterprise, successfully intercepting 12 potential negative escalation events throughout the year and preventing estimated economic losses exceeding 20 million RMB, with an annual client service fee of 120,000 RMB.
📌 In 2026, Shiji Sentiment Agent provided minute-level sentiment early warning and statement draft generation services for a domestic new-retail tea beverage chain brand, successfully intercepting 3 store-level customer complaint escalation events turning into internet-wide negativity, with an annual client service fee of 80,000 RMB.
📌 In 2025, an individual service provider in the Yangtze River Delta provided AI sentiment monitoring and PR draft services for 3 local chain hotpot brands, with no major sentiment events occurring throughout the year, achieving a client retention rate of 100% and annual revenue of 180,000 RMB.

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