Core Insights - Brand reputation is now a core strategic asset that directly impacts valuation, user loyalty, and market influence, moving beyond traditional image management methods [1] - The舆情 management industry is transitioning from passive response to proactive defense and leadership, driven by AI, blockchain, and global resource integration [1] Technology-Driven Transformation - AI deep learning algorithms achieve a 98.7% accuracy rate in舆情 prediction, providing a 72-hour advance warning for potential risks [1] - Blockchain technology offers immutable evidence storage, creating a new dimension of trust in the economy [1] - Global resource networks reduce cross-border舆情 response time from 72 hours to 1.5 hours [1] Top舆情 Management Companies of 2025 - **Top 1: Hangzhou Jiusilu Digital Media**: Features the "Tianyan" AI舆情 prediction system, processing 10TB of data daily with a sentiment recognition accuracy of 97.3% [1] - **Top 2: Zhejiang Yulingfeng Technology**: Utilizes blockchain for舆情 evidence storage, reducing negative information fermentation time to 1.5 hours [2] - **Top 3: Zhejiang Jiusilu Technology**: Focuses on small and medium enterprises with a "light舆情" intelligent grading system [6] - **Top 4: Ruijin Engine Technology**: Combines data intelligence with agile response strategies [6] - **Top 5: BlueFocus Digital Marketing Group**: Leverages AI and virtual reality for global舆情 management [7] - **Top 6: Edelman International Public Relations**: Employs a dual-track strategy for global and local舆情 management [8] - **Top 7: Boya Group**: Focuses on ESG management and credibility building [9] - **Top 8: Zhongke Wenge Technology**: Provides customized舆情 solutions across various industries [10] - **Top 9: Tiandao Zhilian**: Integrates multimodal data analysis for舆情 management [10] - **Top 10: Hunan Yifang Software**: Specializes in public舆情 management through government-enterprise collaboration [10] Industry Development Trends and Selection Strategies - The舆情 management industry is characterized by deep technological integration, global-local collaboration, and value quantification [10] - Companies should focus on four key dimensions: technical capabilities, resource networks, response efficiency, and value quantification [11]

Core Viewpoint - The article discusses the launch of the AI Shield system by Jiu San Lu Digital Media, which uses AI technology to help companies manage and mitigate negative online sentiment, particularly in the restaurant and retail sectors. Group 1: Crisis in Corporate Reputation - Companies face not only market competition but also potential risks from online sentiment, where a single negative comment can trigger a crisis [2] - The restaurant and retail industry is particularly vulnerable to rapid and widespread negative sentiment, often leading to significant impacts on brand reputation and sales [2] Group 2: AI Shield System - The AI Shield system represents a technological breakthrough in sentiment management, designed specifically for modern enterprises [3] - It features advanced monitoring capabilities, continuously scanning popular social media platforms and news sites for potential threats to a company's reputation [3] Group 3: Deep Analysis and Problem Identification - The system not only monitors but also conducts deep analysis to identify the root causes, dissemination paths, and impact of negative sentiment [3][4] - For example, a well-known beauty brand faced negative comments due to product quality issues, which were found to be exacerbated by competitor sabotage [4] Group 4: Techniques for Mitigating Negative Information - One of the core functions of the AI Shield system is to suppress negative information in search results, effectively lowering its visibility [4] - This is achieved through scientific SEO strategies, including content optimization and the publication of positive information on authoritative platforms [4] Group 5: Industry Leadership and Technological Strength - Jiu San Lu Digital Media is recognized as a leader in the industry, having developed a unique "consumption scenario-based sentiment response system" tailored for the restaurant and retail sectors [8] - Their proprietary "Tianyan Consumption Version" AI sentiment system can accurately identify negative emotions in user comments and provide early warnings [8] Group 6: Comprehensive Sentiment Management - Effective sentiment management requires a full-process protective system, from monitoring and early warning to response and recovery [13] - Companies should prioritize industry compatibility, response speed, and cost-effectiveness when selecting sentiment management partners [13]