Turning Data into Decisions
Every minute of a newscast tells a story — not just on screen, but in the numbers. AutoRatingsAnalyzer is a next-generation tool designed to transform Nielsen overnight reports into clear, actionable insights for producers, news directors, and research teams.
Instead of spreadsheets and static graphs, the system uses AI-driven pattern detection to identify what keeps viewers watching — and what causes them to tune out. Whether it’s a powerful tease, a long package, or the timing of weather hits, AutoRatingsAnalyzer helps newsrooms see what the audience sees.
Key Capabilities
Seamless Intigration:
AutoRatingsAnalyzer is built to connect directly with AutoNewsProducer allowing stations to combine content planning and audience analytics in one platform. It’s not just about seeing ratings — it’s about understanding them.
Coming Soon
A smarter, faster way to understand what drives your viewers — and what doesn’t.

As AutoNewsProducer evolves, future versions of the platform will incorporate AI-driven predictive analysis to help producers understand how individual stories or segments might perform with viewers before they ever hit air.
Using historical ratings data, content patterns, social engagement signals, and audience behavior trends, the system will generate a “Viewer Impact Estimate” for each story — offering a quick snapshot of whether a segment is likely to boost retention, hold steady, or risk tune-out.
This feature won’t replace a producer’s editorial judgment, but it will give them a smart, data-informed read on audience interest in real time. From choosing the strongest A-block lead to identifying which stories deserve additional teases, the predictive engine will help producers make faster, more confident decisions that support both storytelling and ratings performance.
As streaming overtakes cable and traditional broadcast, local TV news is at a critical inflection point.
While its audience still values trusted, community-focused reporting, the delivery system for that news is changing faster than most stations can keep up. Viewers are moving to connected TVs, YouTube, mobile apps, and social platforms—fragmenting attention and demanding faster, more adaptive content production cycles.
That’s where AutoNewsProducer fits in. The platform bridges the widening gap between legacy newsroom workflows and the digital-first world audiences now inhabit. By automating script formatting, rundown building, and multi-platform output, AutoNewsProducer allows stations to do more with smaller teams—producing versions of the same story for broadcast, web, OTT, and social in near real time. In an era where 44.8% of all TV viewing now happens through streaming (Nielsen 2025), this kind of agility is no longer optional—it’s survival.
Financially, the shift is also crucial. Local TV’s advertising share has dropped by more than half since 2017, and automation offers a way to cut costs while expanding reach. Rather than spending hours on repetitive production tasks, journalists can focus on storytelling, verification, and hyper-local coverage—the very strengths that keep viewers coming back.
AutoNewsProducer doesn’t replace journalists; it frees them to do what machines can’t: make people care.
In essence, the platform redefines what a “local newscast” means in the streaming era. Whether it’s a linear rundown for air, a short-form clip for YouTube, or an interactive news briefing for a connected TV app, AutoNewsProducer helps stations deliver human news—fast, verified, and platform-ready—beyond the algorithm.
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A.I.-Assisted Workflow Disclosure
AutoNewsProducer uses automation and Artificial Intelligence to help newsroom teams organize inputs and draft suggested text (e.g., summaries, scripts, and tickers). All outputs are intended for human review and editing. When available, links to original sources are preserved to support verification.
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