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AI Social Media Sentiment Monitoring & Brand Public Opinion Report Subscription Generating 12K CNY/Month

Workflow: Automatically scrape target brand-related mentions from four major platforms (Weibo, Xiaohongshu, Douyin, Zhihu) every d

AGENT

Key Fields

FIELD STAMPS

IndustryMarketing / Advertising

RegionChina

ScaleSME

ChannelOnline

🔧 Workflow

Automatically scrape target brand-related mentions from four major platforms (Weibo, Xiaohongshu, Douyin, Zhihu) every day at midnight. Use Large Language Model APIs to perform sentiment polarity classification (positive/neutral/negative) and negative theme clustering (product quality, service attitude, logistics issues, etc.). Automatically generate daily/weekly reports with visualized charts and push them to brand owners via WeChat Work or email. Inputs are the customer's specified brand keyword list and competitor list. Outputs are sentiment trend charts, negative early-warning lists, and competitor sentiment comparison briefs, supporting custom tracking dimensions for clients.

🛠 Setup Requirements

Requires basic Python programming skills, familiarity with API calls and simple data cleaning. Open-source public opinion scraping tools like TrendRadar can be used to configure data sources, paired with LLM APIs to complete sentiment analysis and report generation. Zero-based setup takes about 2-4 weeks, which can be shortened to under 1 week with programming experience. No complex server configuration is needed; a cloud server is sufficient to run it.

🧰 Toolchain

🔧 TrendRadar
🔧 BettaFish
🔧 OpenAI API
🔧 Feishu Open Platform

💰 Revenue

① SME brand owners subscribe monthly to public opinion daily and weekly reports (main revenue): brand owners pay a monthly subscription fee. Real-world measured cases show serving 6-8 brand clients per month with a monthly revenue of 12,000-20,000 CNY, averaging about 1,500-3,333 CNY/month per client (calculated), contributing almost 100% of total monthly revenue. Data is from case measurements and has not been independently verified; ② Negative early warning and competitor comparison brief value-adds: subscribed brands purchase additionally per-time or per-project (pricing and purchase frequency are not publicly disclosed, and their share of total revenue is unspecified); ③ Low-threshold weekly subscriptions converted to monthly payments: brand owners start with weekly subscriptions at 199 CNY/week (card-listed pricing), translating to about 862 CNY/month/client (calculated), used for free community trial conversion to long-term subscriptions. The listing notes that accumulating over 10 clients can break 30,000 CNY in monthly revenue, though the share is unlisted (reported by the merchant, lacking independent verification); ④ Opportunity item - Vertical track public opinion SaaS self-service subscription: automated monitoring covering 20+ platform types with 5-minute update frequency (pricing is platform public listing), tiered pricing based on platform count or keyword count is unpublished, and earnings are unknown.

💸 Cost

Model inference and invocation expenses are about 100-300 CNY/month, cloud server fees are about 50-100 CNY/month, open-source scraping tools are free. Total comprehensive fixed costs do not exceed 400 CNY/month, and the service gross margin exceeds 95%.

⏱ Time Investment

Dedicate 1-2 hours per day to maintaining scraping rules, verifying report accuracy, responding to client customization needs, and expanding 1-2 new clients per week.

🚀 Getting Started

Step 1: Choose 1-2 familiar vertical tracks (such as catering or beauty). Use open-source tools like TrendRadar to configure public opinion scraping rules for 3 target brands, manually run 1 week of data to verify accuracy, and then connect to the LLM to generate sample reports. First, release free trial activities in local lifestyle merchant communities and e-commerce seller communities to collect feedback from 3-5 seed clients to optimize the report template. Then launch the 199 CNY/week subscription service, later transitioning to monthly long-term subscriptions.

🔑 Keys to Success

✅ Depth of brand perception in vertical tracks
✅ Negative early-warning response speed
✅ Report visualization presentation effect
✅ Client customization response capability

⚠️ 风险

⚠️ Upgrades to social media platform anti-scraping strategies may cause data source interruptions, requiring continuous time investment to maintain scraping rules.
⚠️ Inadequate LLM sentiment classification accuracy may lead to false positives and missed reports, damaging client trust and reputation.
⚠️ SME willingness to pay is relatively low, and initial client retention rates may be under 50%.
⚠️ Public opinion data involves user privacy, posing compliance risks that require strict adherence to the Personal Information Protection Law requirements.

📌 Real Cases

📌 An independent developer achieved a monthly income of 12,000 CNY as an AI public opinion monitoring side hustle, serving 5 local catering brands.
📌 X-Weishi Business Intelligence Agent has achieved 7x24 hour full-network public opinion monitoring and AI automated report generation, serving over 3,000 enterprise clients.
📌 An e-commerce operator used this model to serve 20 beauty brands, reaching a monthly income of 35,000 CNY with an 85% client renewal rate.

Sources