Turn company data into trend signals journalists will report.
PR Signal's AI turns the operational data you already have into sourced industry signals, then writes the report, drafts the pitch, and shows you who's covering similar topics.
Start free trialYou have the data.
You don't have the time,
or the team.
Every company at scale accumulates data about the world around it — wage trends, demand shifts, behavior patterns. That's a genuine PR asset. But recognizing which patterns are newsworthy, backing them with real industry context, and turning them into something a journalist will read takes infrastructure most growth-stage teams don't have yet. PR Signal is that infrastructure.
Three layers. One system.
Bring the data you already have.
No new tracking to set up. Connect what's already running, and PR Signal pulls the operational patterns — never the financials.
Start with a free trial.
See what your data reveals.
Every plan includes 7 days of full access to your selected plan's features — no data science team required, no commitment beyond that.
Questions commonly asked.
Does PR Signal ever see our revenue or financial data?
No. Revenue, MRR, ARR, and transaction totals are excluded at the connection level for every data source — not filtered out afterward. Financial fields never enter the signal detection pipeline in the first place.
What sectors does PR Signal currently support?
Six sectors at beta launch: flexible workforce, logistics, healthcare tech, fintech, B2B software, and e-commerce. Each has its own benchmark sources and metric types, so comparisons are always sector-specific.
How current is the benchmark data?
Benchmark sources refresh on a schedule — monthly for fast-moving indexes like logistics data, quarterly for annual sector reports. Every comparison shows its source, publisher, and reporting period so you can judge freshness for yourself.
Is this just an AI pitch generator?
No. Pitch generation is the last step, not the first. PR Signal leads with data intelligence — comparing your operational data against real industry benchmarks and current editorial trends — and only generates a pitch once there's an actual signal worth pitching.
Do I need a data science or engineering background to use this?
No. Connecting a data source takes a few clicks through standard OAuth or a CSV upload. Everything after that — benchmarking, signal scoring, pitch writing — is handled by the platform.