YouTube Video Comment Sentiment Analyzer
Analyze comments on YouTube videos to understand audience sentiment and common questions
The Prompt
Navigate to YouTube videos from list: {{VIDEO_URLS}}
For each video:
- Scroll through comments section
- Extract the first {{COMMENT_COUNT}} comments with their like counts
- Categorize each comment as:
- Positive feedback
- Negative criticism
- Question
- Suggestion
- General discussion
For questions, note the specific question being asked.
For negative comments, identify the main complaint.
Open a spreadsheet tab and compile:
- Video URL
- Commenter Name
- Comment Text
- Likes
- Category
- Extracted Insight
Generate summary:
- Sentiment distribution percentages
- Top {{TOP_QUESTIONS}} most common questions
- Frequent complaints
- Opportunities for FAQ or follow-up content
Customize Variables
Example: Your videos or competitor videos
Example: 100
Example: 10
How to Use
With FillApp (One-Click)
- Install FillApp Chrome extension
- Customize the variables above with your values
- Click "Run in FillApp" in the sidebar
- The prompt will automatically load and execute
With Other AI Browser Agents
- Customize the variables above with your values
- Click "Copy Prompt" to copy the customized prompt
- Open your AI Browser Agent (ChatGPT Atlas, Perplexity Comet, Claude, etc.)
- Paste the prompt and execute according to your agent's interface
Note: Functionality may vary depending on your AI agent's capabilities.
