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Jun 12, 2026•19 min read
How Does Your Brand Show Up On YouTube?
Track brand mentions across YouTube videos. AI search engines weight YouTube heavily for brand-related queries because video transcripts and metadata are major training signals.
YouTube content shapes how AI systems describe your brand. This tool surfaces every video mentioning your brand, the channels behind them, total reach, sentiment, and recency. Use it to spot coverage gaps, monitor sentiment shifts, and find creators worth partnering with for sponsored reviews.
What we measure
Mention Volume
Counts every YouTube video that mentions your brand in title, description, or channel name.
Channel Diversity
Number of unique channels covering your brand. Diverse coverage signals organic interest to AI search engines.
Total Reach
Aggregate view count across all matched videos. Tells you the actual audience your brand reaches on YouTube.
Transcript-Grounded Sentiment
We fetch transcripts for your top 5 videos by views and run sentiment on the actual spoken content, not just titles. Catches sarcasm and late-video reversals.
Recency
How fresh your YouTube footprint is. AI models weight recent content heavily for active brands.
AI-Generated Action Plan
GPT-4o-mini reviews your full result and generates a custom 3-step plan to lift YouTube visibility.
Why YouTube Coverage Shapes AI Visibility
Video transcripts, titles, descriptions, and channel metadata are part of the training corpus for every major AI assistant. Strong YouTube coverage is one of the highest-leverage off-site signals for AI brand recall.
Live YouTube data
We query the YouTube Data API live on every audit. Results reflect current video availability, view counts, and publication dates, not a stale prompt library.
Five-dimension score
Volume (25), Channel Diversity (20), Sentiment (20), Reach (20), and Recency (15) sum to a 100-point AI visibility grade for your YouTube footprint.
Layer 2 sentiment, not just titles
For your top 5 videos by views, we pull the full transcript and analyze the actual spoken content. Each video shows whether sentiment came from the transcript or the metadata. Channels with concentrated negative coverage are flagged in the recommendations.
Action plan, not just a number
The AI summary turns the score into specific next moves, such as which channels to pitch and which negative videos to address.
