Critical Mention
Real-time broadcast, online news, and social media intelligence for global PR and marketing teams.
AI-powered media monitoring and social listening for real-time brand intelligence.
Determ is a high-performance media monitoring platform engineered for real-time tracking of brand mentions across more than 100 million online sources, including social media, news sites, blogs, forums, and Reddit. As of 2026, Determ has integrated advanced Large Language Model (LLM) capabilities via its 'AI Sense' engine, which provides automated qualitative analysis, summarizing vast quantities of mentions into actionable executive reports. The technical architecture relies on low-latency web crawlers and direct API integrations with major social platforms to ensure that 'time-to-alert' is kept within seconds of publication. For enterprise architects, Determ offers a robust REST API and webhook support, allowing sentiment data and mention streams to be piped directly into internal BI tools or CRM systems. Its market positioning focuses on the 'PR-Tech' sector, specifically targeting mid-to-large enterprises that require high-precision Boolean search capabilities and automated sentiment classification. The platform distinguishes itself by its focus on global source coverage and an intuitive user interface that reduces the steep learning curve typically associated with enterprise-grade social listening tools.
An LLM-driven analytical layer that automatically synthesizes thousands of mentions into concise summaries.
Real-time broadcast, online news, and social media intelligence for global PR and marketing teams.
The ultimate media intelligence platform for quantifying the true impact of PR and communications.
The Modern PR Management Platform for Smarter Media Relations and Real-Time Insights.
The legacy leader in comprehensive media monitoring and strategic intelligence.
Verified feedback from the global deployment network.
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Support for complex logical operators (AND, OR, NOT, NEAR, NEAR/n) to eliminate irrelevant data.
A proprietary algorithm that weighs positive vs negative mentions to provide a single health metric.
Natural Language Processing (NLP) models trained in over 100 languages.
Anomaly detection algorithms that notify users when mention volume deviates from the moving average.
Rule-based classification of mentions based on content or source attributes.
Ranking of authors based on reach, virality, and sentiment impact.
A product defect is trending on social media, causing stock price volatility.
Registry Updated:2/7/2026
Understanding market reception of a competitor's new feature.
Measuring the ROI of paid influencer partnerships.