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It is a platform that gives Public Relations (PR) and corporate communications teams real-time insight into everything affecting their reputation. AIQ, Signal AI's proprietary engine, reads 5.5M+ sources of coverage as they publish, then identifies the entities involved, the sentiment expressed, and the relevance to your brand.

Three patterns come up most. Reputation teams measure trustworthiness dynamically using flexible Topic concepts, saving hundreds of hours of manual analysis. Others track Environmental, Social, and Governance perception alongside alternative data. Risk teams monitor emerging supply chain risks for key components globally and plan for disruption.

Signal AI exposes the building blocks rather than a black box. Entity search, sentiment analysis, and narrative spikes are available as separate tools, so your AI agents sequence and combine them transparently and you can see how any answer was reached.

Global, premium, licensed data at scale. AIQ labels 100M+ entities and topics per day across 226+ markets, translated into 120+ languages, and tracks 30+ risk event types such as cyberattack threats and lawsuits. Every insight links back to a published source.

Yes, and that is the point of the integration. Overlay Signal AI data on your internal feeds to automate hours of cross-referencing: correlate coverage spikes with stock moves, regional sentiment with your CRM pipeline, or supplier disruption with procurement data.

Seven. Four for reputation intelligence: Search (hyper-relevant AI search across a billion documents), Metrics (trends, patterns, and emerging themes), Affinity (proximity between concepts and topic ownership), and Events (the key events driving coverage). Three for risk intelligence: Risk Events, Risk Entity Scores, and Risk Cohort Scores.