Most "AI risk tools" hide behind a black box. We won't. Here's exactly what we analyze, what we don't, how the score is built, and where its limits are — in plain English.
ChannelGuard is an expert risk assessment, not a connection to YouTube's internal systems. You tell us how you produce your channel — your tools, cadence, voice source, music licensing, and a sample of your scripts — and our AI evaluates that against the demonetization signals YouTube has publicly documented and that creators have reported losing channels over.
Think of it like a pre-flight checklist read by someone who's studied every channel-termination pattern that's been publicly shared. It won't tell you with certainty what YouTube will do. It will tell you, before you upload, which of your production choices match the channels that have been hit — and exactly what to change.
Your 0–100 Originality Score is the average of two sub-scores, then adjusted for strike history and monetization status:
Script uniqueness, structural variation across uploads, and presence of a genuine editorial voice vs. interchangeable, template-driven output. Derived from the script text you paste.
Tooling fingerprint, music/footage licensing, Made-for-Kids classification, strike history, and metadata practices. Derived from the production details you select.
The combined score maps to one of four verdicts:
Every flag traces back to one of these categories — each grounded in YouTube's published policies (Inauthentic Content, Reused Content, Made for Kids, Community Guidelines) or documented creator incidents, not guesswork.
Default/stock TTS voices are the single most-reported "automated fingerprint." A custom-trained voice clone or real VO reads as original. Scored from the voice source you select — we do not analyze your audio.
If every upload follows the same intro-hook-body structure and pacing, the channel reads as system-generated. We measure variation in the script text you provide.
Pure stock-footage channels, especially in finance/health niches, carry elevated Reused Content risk. Mixing original visuals or animation offsets this.
Unknown or AI-generated music licenses are a leading cause of Content ID claims. Licensed libraries (Epidemic, Artlist) and the YouTube Audio Library read as safe.
Misclassification — especially adult-oriented content set as MFK, or "not sure" — is one of the most common monetization-blocking errors. We flag inconsistency hard.
Prior demonetization, active strikes, or a suspended state raise your baseline risk and push fix urgency higher. Self-reported by you.
A risk score is an estimate, not a verdict. We'd rather you know the limits up front than trust a number we can't fully stand behind.
The score is only as accurate as the details you provide. If you select "licensed music" but you're actually using unlicensed tracks, we'll score you as safe and YouTube may still flag you. Garbage in, garbage out — answer honestly, including the unflattering parts.
YouTube's enforcement is opaque and changes without notice. A high score lowers your odds; it doesn't eliminate them. Channels following best practices still occasionally get caught in broad sweeps, and channels with risk factors sometimes fly under the radar for years. ChannelGuard improves your position — it doesn't insure it.
We are not affiliated with, endorsed by, or connected to YouTube or Google. We have no access to their internal models, your channel data, or their enforcement queue. Our signals are reconstructed from public policy text and creator-reported outcomes.
When you run an audit, the details you enter and your pasted script are sent to our AI analysis provider to generate your score. That's it. We don't require an account for a free audit, we don't sell your data, and we don't store your scripts beyond what's needed to render your report in this session.
If you purchase a paid plan, your payment is processed by Stripe — we never see or store your card details.