Signal AI is an AI-native media monitoring, PR analytics and risk intelligence platform that provides PR & communications teams and enterprise risk teams with a single place to monitor, analyse and report on the external environment. For communications teams, it covers the full workflow from media monitoring through to measurement and reporting. For risk teams, it covers external risk from identification through to board reporting. It is used by PR, corporate communications, corporate affairs, enterprise risk and executive teams in large enterprises.
The platform ingests more than 5.5 million documents a day from 265,000 sources, spanning online news, print, broadcast, social media, regulatory and industry sources across 226 markets and 120+ languages. Its AI labels over 100 million entities and topics everyday, identifying which organisations, people, issues and themes are being discussed, in what context and with what sentiment. Users can search this data, set up ongoing monitoring, receive alerts on changes that matter to them, and generate reports for stakeholders. The same data supports competitive intelligence, social media listening and brand intelligence workflows.
For PR & communications teams, Signal AI replaces separate monitoring, measurement and crisis tools with one platform:
• Media monitoring and PR measurement: Track coverage, sentiment and share of voice across all media types, filter out irrelevant mentions, and measure communications impact against business outcomes rather than volume alone.
• Corporate communications and media outreach: Identify the narratives shaping perception of the brand and its industry, use that data to inform communications strategy, and find the journalists and outlets already covering relevant topics to target outreach.
• Crisis communications and issues management: Detect emerging issues early, monitor how a story develops in real time, and support both proactive planning and response when an incident occurs.
For enterprise risk teams, Signal AI provides external risk intelligence in one platform, from detection to reporting:
• Risk register monitoring and horizon scanning: Connect the organisation's existing risk register to external data so each risk is continuously monitored, and scan for emerging risks not yet on the register, including regulatory, geopolitical, supply chain and reputational themes.
• Risk measurement and reporting: Quantify external risk exposure over time and produce board-ready reporting that shows how identified risks are trending and where attention is needed.
Signal AI is used by over 40% of the Fortune 500, including Deloitte, Bain & Company, Mastercard, Citi, SAP, Nestlé, Unilever, Vodafone, AECOM, Virgin Atlantic and Uber.
Average Rating: 4.3/5.0
Total Reviews: 210
How Do G2 Users Rate Signal AI?
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Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.3/10)
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Product Details: 5.7/10 (Category avg: 8.5/10)
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Customer Feedback & Reviews: 3.7/10 (Category avg: 8.6/10)
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Centralized Platform: 7.5/10 (Category avg: 9.1/10)
Who Is the Company Behind Signal AI?
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Seller: Signal AI
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Company Website:
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Year Founded: 2013
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HQ Location: London
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LinkedIn® Page: www.linkedin.com
281 employees on LinkedIn®
Who Uses This Product?
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Who Uses This: PR Manager
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Top Industries: Public Relations and Communications, Financial Services
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Company Size: 40% Large, 34% Medium
What Do G2 Reviewers Say About Signal AI?
AI-generated summary from verified user reviews
Pros
- Users highlight the ease of use of Signal AI, enjoying seamless navigation and user-friendly features for effective research.
- Users find Signal AI's integrated media sources incredibly convenient, enhancing research and monitoring efficiency in one platform.
- Users appreciate the responsive customer support of Signal AI, which enhances their overall experience and satisfaction.
- Users praise Signal AI for its intuitive design, making research and monitoring easy and efficient.
- Users value the extremely responsive customer support and customizable coverage features of Signal AI.
Cons
- Users find the search functionality lacking, as it requires extensive fine-tuning and often misses out on publications.
- Users find that data inaccuracy in Signal AI requires extra review and fine-tuning for reliable insights.
- Users find that Signal AI's inaccurate data can lead to missed coverage and questionable sentiment analysis.
- Users express concern over limited coverage, as it often misses important publications and print media, impacting accuracy.
- Users find Signal AI not intuitive, often needing assistance to set up searches and access all features effectively.
What Are G2 Users Discussing About Signal AI?
