What is communications intelligence?

Communications intelligence is the process of converting signals across news media, social platforms, forums, stakeholder discussions, and AI search tools into actionable insights that inform strategic decisions and content production.

How does Stratum differ from PR tools like Meltwater or Cision?

PR tools like Meltwater and Cision are built primarily to collect information for retrieval and analytics. Users would generally use Boolean search to capture media mentions, segment sentiment, and analyze metrics on dashboards. These platform excel in storing huge databases of journalists and distributing press releases. Stratum is built with specialized AI agents, paired with the organization's unique context to analyze narratives that matter most to the company, detect emerging risks, and generate ready-to-use briefings and communications materials.

Why is monitoring data no longer enough for modern communications teams?

Modern communications teams face unprecedented noise, fast-moving narratives, and dynamic AI search results. The challenge is not a lack of information but an overload of information. News breaks across traditional media, social platforms, podcasts, forums, newsletters, AI search engines and stakeholder communities simultaneously. Teams need tools to help them turn signals into decisions faster.

How does Stratum handle brand voice and messaging accuracy?

Unlike generic AI platforms like Gemini, ChatGPT and Copilot, Stratum integrates proprietary organizational data, brand messaging guidelines, and context, delivering high-precision outputs that require minimal editing.

How does Stratum's pricing differ from Prowly and Meltwater?

Prowly offers accessible pricing for smaller teams focused on visual press release distribution. Meltwater provides enterprise dashboard reporting at scale. Stratum delivers AI agents platform for communications teams with specialized decision support and content production capabilities.

Why Generic AI Fails Comms: And How Sequencr is Changing the Game

Generic generative AI tools were built for the general public. Which means for strategic communications, they were built for no one. A recent Workday study revealed that 40% of the time saved by using standard AI tools is immediately lost re-working, editing, and adjusting outputs to match actual brand context.

August 19, 2026

By:

AI Generated Summary:

AUDIO FILE DOWNLOAD

Key Takeaways from the Discussion:

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The Re-Work Trap: Why general AI models lack situational awareness, forcing comms professionals to waste hours feeding prompt context and fixing generic copy.
Agents vs. Agentic Workflows: Moving past simple prompt-and-response mechanics toward autonomous, multi-step workflows designed for PR use cases.
Early Crisis Detection: How micro-trends across low-view channels (such as thousands of minor TikTok posts) build damaging narratives before legacy media monitoring picks them up.
Targeted Influencer Matching: Utilizing deep knowledge graphs rather than surface follower counts to identify true brand alignment.

In this episode of Stories and Strategies, host Doug Downs interviews Matt Collette, Founder and CEO of Sequencr.ai, to discuss why comms teams are settling for generic chatbots and how agentic AI shifts public relations from reactive editing to predictive strategy.

While tools like ChatGPT generate technically competent text, they lack situational awareness, forcing communicators to spend 20 minutes editing and wrestling the output into brand voice. In this episode, Matt details how Stratum approaches AI differently by embedding communications logic at its core. Stratum continuously syncs news, social feeds, and organizational memory into a unified knowledge layer, eliminating repetitive prompt engineering.

Listen to the full episode here:

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