YouTube Influencer Vetting & Video Content Analysis
YouTube's long-form content creates deeper brand associations, which means higher risk when things go wrong. CreatorScore scans video transcripts, analyzes thumbnails, verifies subscriber authenticity, and monitors comment sentiment across a creator's entire channel history.
Risk Detection
Platform-Specific Risks We Detect
Hidden Content in Long-Form Videos
A 30-minute video may contain 29 minutes of brand-safe content and one minute of controversial material. Our transcript scanning catches risks throughout entire videos.
Subscriber Fraud
YouTube subscriber purchases are common and hard to detect with surface metrics. We cross-reference subscriber counts with view rates, engagement, and growth patterns.
Toxic Community Culture
YouTube comment sections can become toxic communities that reflect poorly on brand partners. Our sentiment analysis monitors community health over time.
Demonetization History
Creators with demonetization history may have patterns of producing borderline content. We track content patterns associated with platform policy violations.
Capabilities
Key Features for YouTube
Video Transcript Scanning
Automatically transcribes and analyzes video audio for hate speech, profanity, controversial opinions, and brand-unsafe content using NLP models trained on creator content.
Thumbnail & Title Analysis
Computer vision evaluates thumbnails for clickbait patterns, NSFW imagery, and misleading content. NLP analyzes titles for sensationalism and controversial framing.
Subscriber Authenticity
Detects purchased subscribers by analyzing subscriber-to-view ratios, engagement patterns, and growth anomalies. Flags channels with inflated subscriber counts that don't translate to real viewership.
Long-Form Content Risk Scoring
YouTube videos can be 10–60+ minutes long, requiring deeper analysis than short-form. Our models evaluate content risk across entire videos, not just the first few seconds.
Comment Toxicity Monitoring
Analyzes comment sections for toxicity, hate speech, and controversial discussions. A toxic community reflects on brand partnerships even if the creator's content is safe.
Channel History & Trend Analysis
Evaluates content consistency over time, detecting creators who have pivoted from brand-safe content to risky niches, or who have historical controversies buried in older videos.
Benchmarks
YouTube Engagement Rate Benchmarks
Engagement rates vary significantly by follower tier. CreatorScore uses platform-specific benchmarks to evaluate whether a creator's engagement is healthy, below average, or suspiciously high (indicating potential manipulation).
| Tier | Followers | Engagement Rate |
|---|---|---|
| Nano (1K–10K) | 1K–10K | 8–12% |
| Micro (10K–100K) | 10K–100K | 4–8% |
| Mid-Tier (100K–500K) | 100K–500K | 2.5–4% |
| Macro (500K–1M) | 500K–1M | 1.5–2.5% |
| Mega (1M+) | 1M+ | 1–2% |
Quick Metrics
YouTube at a Glance
25–40%
Avg Nano View Rate
2.5B+
Monthly Active Users
All demographics
Primary Audience
Long-form, Shorts
Content Format
Scoring Methodology
How CreatorScore Analyzes YouTube Creators
Our 7-agent scoring system evaluates every YouTube creator across independent dimensions, then produces a weighted average score from 1 to 100. Each agent is tuned to the specific signals and fraud vectors of the YouTube ecosystem.
Content Risk Agent
Scans all YouTube content for hate speech, NSFW material, violence, profanity, and visual risks using NLP and computer vision models.
Brand Safety Agent
Evaluates FTC disclosure compliance, controversy history, and brand pattern alignment across all YouTube posts and partnerships.
Sentiment Agent
Measures sentiment stability and audience sentiment across YouTube content and comments, detecting shifts that signal emerging risk.
Authenticity Agent
Detects fake followers, purchased engagement, and bot activity specific to YouTube's ecosystem and fraud vectors.
Audience Quality Agent
Evaluates the health and engagement depth of a creator's YouTube community, analyzing comment quality, reply patterns, and audience relevance.
Community Trust Agent
Assesses FTC disclosure compliance and creator conduct patterns on YouTube, including how they handle controversy and engage with their community.
ROI Prediction Agent
Forecasts campaign performance potential on YouTube based on engagement trends, community health, and growth trajectory.
Learn more about our full scoring methodology, including knockout factors and score tiers.
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