Intelligence modules your clients will pay for

Personas from real sentiment data.

AI-generated personas represent the audiences that matter in a crisis: journalists, customers, regulators, employees and online communities. Each persona has attributes, earlier positions and a sentiment baseline taken from public sentiment data.

Simulations of public reaction.

You define a scenario: the trigger event, your planned message and the channels where it will appear. The engine then runs many randomized trials. In each trial, persona agents react and influence each other. You get a distribution of outcomes (sentiment shift, spread, the most likely critical reactions), not one guess.

Refine the message, then run it again.

Change a line and run the simulation again. You compare the alternatives in minutes, not days.

Journalist data and pattern analysis.

We build pipelines that collect what journalists have published, the subjects they cover and how they engage, and that find the patterns in how they respond. The pipelines use lawful sources only and are designed for GDPR from the start.

Pitch scoring.

A scoring model ranks journalists and outlets for each story by relevance and sentiment, and explains each score. Your team spends its time on the pitches most likely to land.

Autonomous SERP and competitor tracking.

Agents track your positions and your competitors' footprint in classic search results and in AI answer engines, and alert you when something changes.

Real-time synthesis.

The platform turns those signals into short strategic briefings: what changed, why it matters and what to do next.