Solution

AI-Powered Media Intelligence

Powered by WebBridge browser plugins, platform-specific agents collect public opinions from domestic and overseas platforms (incl. TikTok & X) 24/7. Sentiment computation, topic clustering, and trend analysis transform scattered voices into structured insights for brand, marketing, and risk decisions.

Multi-platform agents collecting 24/7Coverage of overseas platforms incl. TikTok & XNLP sentiment computation & topic clusteringTiered crisis alerts & decision report loop
Key Challenges

Hard to collect, limited channels, and slow to judge

Corporate public opinion is scattered across dozens of domestic and overseas social platforms and content communities. Public data is hard to access, channel coverage is incomplete, and manual monitoring is slow and inconsistent — risks can rarely be detected and handled within the golden response window.

1

Public opinion data is hard to collect

Opinions are scattered across Weibo, WeChat, Douyin, Xiaohongshu, Zhihu, TikTok, X and more. Public data is hard to access, and traditional crawlers are constrained by login states, dynamic rendering, and anti-scraping mechanisms, making stable and continuous collection difficult.

Scattered dataAnti-scrapingDynamic rendering
2

Limited channels and incomplete coverage

Manual monitoring and keyword subscriptions cover only a few platforms and samples. Overseas opinions are nearly invisible, and blind spots cause major risks and potential opportunities to be missed at the same time.

Single channelOverseas blind spotIncomplete coverage
3

Slow, costly manual monitoring

Monitoring relies on manual inspection, spreadsheet aggregation, and experience. The collection-to-judgment cycle is long, and when an opinion storm breaks, responses can rarely be completed within the golden window.

Slow responseManual dependencyDelayed reaction
4

Shallow analysis and weak decision support

Data is disconnected from business. Without structured analysis of sentiment, topics, trends, and propagation nodes, reports lag behind and fail to support brand, marketing, and risk decisions in time.

Shallow analysisLate reportsDecision gap
Collection Pipeline

A six-step pipeline from platform pages to decision insight

Collection, cleaning, storage, analysis, and alerting run fully automated — opinion data enters the analysis pipeline within minutes.

Opinion Data Pipeline

STEP 01

01

Monitor Task Orchestration

Configure monitoring targets: keywords, topics, accounts, and site lists; set collection frequency and monitoring periods

STEP 02

02

Parallel Multi-Agent Collection

Platform-specific agents enter target sites via WebBridge, mimicking real browsing to search, paginate, and capture content

STEP 03

03

AI Parsing & Cleaning

AI auto-parses dynamic content and extracts key fields, filters spam, deduplicates, and removes anomalies to guarantee data quality

STEP 04

04

Unified Storage

Normalize multi-platform data into one schema in the opinion warehouse with full-text and vector indexing in parallel

STEP 05

05

Intelligent Analysis

Sentiment computation, topic clustering, propagation paths, and trend analysis produce structured insights

STEP 06

06

Alerting & Reporting

Tiered alerts for negative opinions; daily, weekly, and topic reports are generated and pushed automatically

Multi-Agent Collaboration

Multi-Agent Opinion Collection & Collaboration

Platform-specific agents collect in parallel, an orchestration hub manages everything, and analysis agents divide the work — an elastically scalable collection & analysis network.

Collection Agent Matrix

Platform-specific agents collect public content in parallel via WebBridge across domestic and overseas platforms

Weibo AgentDouyin AgentTikTok AgentX Agent

Orchestration Hub

Unified task orchestration, concurrency control, and quota management keep agents stable

Task orchestrationConcurrency controlQuota management

Data Convergence & Normalization

Cross-platform data normalized into one schema — aggregatable, comparable, traceable

Schema normalizationCross-platform aggregation

Analysis Agent Collaboration

Sentiment, topic, trend, and reporting agents work together pipeline-style to produce insights

Division of laborPipeline processing
Analysis Capabilities

From massive data to actionable insight

Centered on NLP sentiment computation and semantic analysis, enriched with topic, propagation, voice, and competitive dimensions — every piece of opinion data answers a business question.

Sentiment Computation & Opinion Index

82Index

Fine-grained sentiment classification (positive / neutral / negative / angry) with intensity scoring; heat, emotion, and virality are fused into an opinion index

Topic Clustering & Hotspot Discovery

Launch
Quality
Service
Price
Rival

Semantic vector clustering surfaces emerging topics and public focus; hotspot lifecycles and evolution paths are visualized

Propagation Paths & Key Nodes

Rebuild retweet chains and diffusion paths, identify key opinion leaders (KOLs) and trigger points, and evaluate propagation impact

Brand Voice & Competitive Benchmarking

Brand
86
Rival A
62
Rival B
48
Rival C
42

Brand mentions, share of voice (SOV), and reputation trends are compared to reveal brand position and competitive landscape

Crisis Alerts & Handling Advice

Red Alert

Four-tier alerts (blue / yellow / orange / red) for negative opinions, threshold-triggered instant notifications, and handling suggestions

Auto-Generated Decision Reports

Daily
Weekly
Topic

Daily, weekly, and topic reports generated automatically, visualized with charts and fully traceable — straight to decision makers

Capability Map

Full-chain capability: from collection to decision

Four modules — collection network, intelligence engine, brand voice & competitive, and alert & decision dashboard — form the complete technical foundation.

WebBridge connects AI agents with target platforms; platform-specific agents collect public data from domestic and overseas platforms 24/7 in parallel. The NLP engine handles sentiment, topic, propagation, and trend analysis and outputs voice dashboards, tiered alerts, and decision reports — with data masking, permission isolation, and audit trails for secure, compliant decisions.

Collection Network

Platform agent matrix + WebBridge bridging

Platform-specific agents mimic real browsing via WebBridge to collect public content 24/7 across domestic and overseas platforms (incl. TikTok & X)

  • Full domestic & overseas coverage
  • Incl. TikTok / X
  • 24/7 continuous collection
WebBridge · AI Agent Bridge7×24
WeiboAgent
DouyinAgent
REDAgent
TikTokAgent
XAgent
Unified Opinion Warehouse
Unified Schema · Full-text + Vector Index
Normalized
Mimic real browsing
Dynamic rendering
Anti-scraping
Use Cases

Covering brand PR, market insight, and overseas monitoring

Brand PR & Crisis Management

24/7 all-platform monitoring, minute-level negative alerts, and proactive crisis response that minimizes brand damage.

Product Launch & Marketing Review

Real-time voice, reputation, and competitor tracking during launches; quantified reviews keep campaigns on track.

Overseas Monitoring for Global Brands

Full coverage of TikTok, X and more, with localized language understanding and sentiment analysis for global brands.

Industry Research & Strategy

Continuous tracking of industry hotspots, technology trends, and policy shifts feeds product planning and strategic decisions.

Need 24/7 enterprise-wide awareness of public opinion?

From the multi-agent collection network to intelligent analysis and decision dashboards, we provide complete deployment and implementation for the AI-Powered Media Intelligence Solution