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: 188
How Do G2 Users Rate Signal AI?
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Has the product been a good partner in doing business?: 8.9/10 (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: 7.6/10 (Category avg: 9.0/10)
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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Twitter: @SignalHQ
2,460 Twitter followers
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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: 39% Large, 35% Medium
What Do G2 Reviewers Say About Signal AI?
AI-generated summary from verified user reviews
Pros
- Users find Signal AI to be very user-friendly, enabling effortless searches and visually clear insights without extensive training.
- Users find Signal AI intuitive and user-friendly, enabling easy searches, clear visual insights, and seamless report generation.
- Users commend the quick and helpful customer support of Signal AI, enhancing their overall experience with the platform.
- Users find Signal AI extremely helpful for easily accessing relevant news and articles, enhancing their research capabilities.
- Users value the efficient article discovery and morning reports, coupled with responsive customer support and intuitive UX.
Cons
- Users often experience search functionality limitations such as irrelevant alerts and inflexible date ranges across workspaces.
- Users note that data inaccuracy can lead to additional review and fine-tuning, complicating workflow integration.
- Users find the limited coverage of Signal AI frustrating, as it misses many publications, particularly those behind paywalls.
What Are G2 Users Discussing About Signal AI?
