Brandwatch Boosts AI Capabilities with Iris AI to Revolutionize Marketing Insights

November 20, 2025
Brandwatch Boosts AI Capabilities with Iris AI to Revolutionize Marketing Insights
  • Brandwatch, part of the Cision family, is unveiling expanded data content and AI-powered innovations centered on Iris AI to help marketers discover, interpret, and act on insights.

  • At the core is Iris AI, an intelligence layer that analyzes vast data points to reveal why trends happen and to support faster, more transparent decisions.

  • Brandwatch asserts it has one of the industry’s largest and most trusted data foundations, merging real-time and historical social and traditional media sources.

  • Expanded data coverage now includes Threads, YouTube, TikTok, LinkedIn, Trajan search data, and over 70,000 trending podcasts with transcript analysis, broadening Brandwatch’s data reach.

  • EQS News distributed the press release on November 20, 2025, including standard boilerplate and contact information.

  • The core message remains consistent with product updates; the article serves as a corporate press release detailing enhancements and future roadmap.

  • Jim Daxner, Cision’s Chief Product Officer, frames Iris AI as a digital partner that explains, guides, and speeds up decision-making for marketers.

  • The expansion specifically incorporates Threads, YouTube, TikTok, LinkedIn, Trajan search data, and the analysis of 70,000+ trending podcasts with transcripts.

  • Brandwatch operates within the Cision portfolio, with PR Newswire distributing the release.

  • Brandwatch positions itself as a leading provider of social media management and consumer intelligence, trusted by a sizable share of the Forbes 100, and integrated within Cision’s family of brands.

  • This broader data mix enhances cross-channel insights, reinforcing Brandwatch’s ability to analyze diverse content.

  • The offering is presented as a comprehensive AI-powered suite for consumer intelligence, influencer marketing, and social media management, enabling data-driven strategies at scale.

Summary based on 8 sources


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