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.
25–40%
Avg Nano View Rate
2.5B+
Monthly Active Users
All demographics
Primary Audience
Long-form, Shorts
Content Format
Risk Detection
YouTube Brand Safety 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
YouTube Influencer Vetting Features
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 by Tier
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% |
Scoring Methodology
How CreatorScore Analyzes YouTube Creators
Our 7-agent AI scoring system evaluates every YouTube creator across independent dimensions, producing a weighted score from 1 to 100. Each agent is tuned to the specific signals and fraud vectors of the YouTube ecosystem.
Content Risk Agent
20%Scans all YouTube content for hate speech, NSFW material, violence, profanity, and visual risks using NLP and computer vision models.
Brand Safety Agent
15%Evaluates FTC disclosure compliance, controversy history, and brand pattern alignment across all YouTube posts and partnerships.
Sentiment Agent
10%Measures sentiment stability and audience sentiment across YouTube content and comments, detecting shifts that signal emerging risk.
Authenticity Agent
20%Detects fake followers, purchased engagement, and bot activity specific to YouTube's ecosystem and fraud vectors.
Audience Quality Agent
15%Evaluates the health and engagement depth of a creator's YouTube community, analyzing comment quality, reply patterns, and audience relevance.
Community Trust Agent
10%Assesses FTC disclosure compliance and creator conduct patterns on YouTube, including how they handle controversy and engage with their community.
ROI Prediction Agent
10%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.
FAQ
YouTube Influencer Vetting — Frequently Asked Questions
How does CreatorScore vet YouTube creators?
CreatorScore runs every YouTube creator through a 7-agent AI scoring system that analyzes content risk, brand safety, audience authenticity, sentiment, community trust, audience quality, and ROI prediction. For YouTube specifically, we evaluate video transcript scanning, thumbnail & title analysis, subscriber authenticity, and more — producing a single 1-100 brand safety score with transparent, SHAP-explainable drivers.
What is a good engagement rate for YouTube influencers?
On YouTube, healthy engagement rates vary by follower tier. Nano (1K–10K) creators average 8–12%. Micro (10K–100K) creators typically see 4–8%. CreatorScore's Audience Quality Agent compares each creator against these YouTube-specific benchmarks and flags engagement that's either suspiciously high (possible manipulation) or unusually low (declining relevance).
How do I detect fake followers on YouTube?
CreatorScore's Authenticity Agent analyzes YouTube follower growth patterns, comment authenticity ratios, engagement timing anomalies, and audience geographic distributions to detect fake followers and bot activity. YouTube creators with more than 60% bot followers are automatically capped at a score of 20 through our knockout factor system — no exceptions.
What brand safety risks are unique to YouTube?
The biggest YouTube-specific brand safety risks CreatorScore flags are: 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. We also monitor 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.
How long does it take to vet a YouTube creator with CreatorScore?
A full YouTube creator brand safety assessment runs in under 60 seconds and costs less than $0.25 per creator. You get all 7 agent scores, a unified CreatorScore from 1-100, SHAP-explainable score drivers, and real-time alerts when the creator's score drops or new risk flags appear.
Start Vetting YouTube Creators
Get AI-powered brand safety scoring and risk analysis for YouTube creators in minutes.