Signal AI

Paid#40 of 85 in Social Media Listening SoftwareMedia Monitoring SoftwarePublic Relations (PR) SoftwareSocial Listening Tools+3 more

Signal AI: A broad media-monitoring platform for teams tracking reputation, risk and emerging narratives. Ranked #40 of 85 in Social Media Listening Software by our editors (4.5/10); pricing: Pricing on request; best for risk teams monitoring media and emerging narratives.

4.5/10★★☆☆☆Editor score

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At a glance

• Editor score
  4.5 / 10
• Pricing
  Pricing on request
• Best for
  Risk teams monitoring media and emerging narratives
• Founded
  2013 · London, England, United Kingdom
• Facts checked
  19 Sep 2026

• Where it wins

  • Searches contextually without requiring Boolean logic
  • Monitors media, social, podcasts, broadcasts and regulatory content
  • Combines entity sentiment, trend analytics and unlimited alerts

• Where it doesn't

  • Pricing is available through sales rather than published standard plans
  • Social network coverage is not specified
  • May be broader than needed for teams focused only on social listening

Our verdict on Signal AI

Signal AI is an enterprise reputation and risk intelligence platform for communications, corporate affairs and risk teams. It monitors published media and social media alongside podcasts, broadcasts, regulatory content and LLM citations. Contextual AI-powered search is designed to work without Boolean logic, while entity-level sentiment analysis and interactive analytics help teams examine trends, narratives, risks and competitive coverage. Its wide source mix makes it relevant to organizations watching how external issues develop, not only how their brand appears on social networks.

Monitoring breadth is a defining strength. Signal AI also offers article-level readership data from publisher relationships, curated media newsletters and risk briefings, plus real-time alerts with email and Slack channels. The combination supports ongoing monitoring as well as sharing selected coverage with colleagues. The product is available on web and through an API; listed ecosystem connections include business intelligence solutions, Model Context Protocol, LLM clients and AI agents. API and MCP access may suit teams that want to bring intelligence into existing workflows, while buyers looking for a social-only tool should weigh whether this broader coverage fits their needs.

Pricing follows a contact-sales model, so buyers should expect to discuss requirements with the vendor rather than compare published standard tiers. The feature set includes unlimited real-time alerts, but there is no plan-by-plan price information to assess. Signal AI is best suited to teams that need to connect media, social, regulatory and other external signals for reputation or risk work. Teams prioritizing a clearly published self-serve price or specifically defined social network coverage may prefer to evaluate alternatives with those criteria in focus.

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Signal AI pricing

Signal AI fact sheet

Signal AI integrations

Signal AI lists 4 integrations on its own site.

• Business intelligence solutions
• Model Context Protocol
• LLM clients
• AI agents

Alternatives to Signal AI

• Meltwater Social ListeningBroad listening and analysis for teams that need more than social-network monitoring.9.4
• Sprinklr Social ListeningBroad channel monitoring and analysis for enterprise teams with complex workflows.9.3
• TalkwalkerBroad social, web and visual listening with multilingual sentiment and custom-quote pricing.9.1

See all Signal AI alternatives →

Featured on iTechGuides

Signal AI is listed in our Social Media Listening Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated 7 Oct 2026 · How we research and update