Tools / Social Media Comments / Use Cases / Find Product Feedback in Social Comments

Find Product Feedback in Social Comments

Extract actionable product feedback from YouTube, Reddit, and TikTok comments about your product or competitors.

Tool
Social Media Comments icon
Social Media Comments

The most honest product feedback lives in social media comments, not in survey responses. When someone comments on a YouTube review that the battery dies after two hours, or a Reddit user explains why they switched to a competitor, or a TikTok commenter describes exactly how they use your product in an unexpected way -- that is unfiltered, unsolicited truth about your product.

Collecting comments from product-related posts across YouTube, Reddit, and TikTok surfaces feedback that never makes it into formal channels. Reddit threads are especially valuable because users provide detailed, technical feedback in discussions. YouTube review comments often contain real usage experiences. TikTok comments capture immediate emotional reactions to products.

Agent Guides

Claude

  1. Connect ToolRouter: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask Claude: "Pull comments from this YouTube product review and this Reddit discussion thread"
  3. Claude collects comments and extracts product-specific feedback, complaints, and feature requests
Read full guide →

ChatGPT

  1. Configure ToolRouter in ChatGPT settings
  2. Ask: "Pull comments from this Reddit thread about our product and extract feedback"
  3. ChatGPT collects comments and categorizes the feedback by type
Read full guide →

Copilot

  1. Add ToolRouter to Copilot MCP config
  2. In Copilot Chat: "Pull Reddit comments about our product and extract bug reports"
  3. Copilot collects comments and identifies technical feedback
Read full guide →

OpenClaw

  1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask OpenClaw: "Pull comments from this YouTube review and extract product feedback"
  3. OpenClaw fetches comments and highlights actionable feedback
Read full guide →

Related Use Cases

Open Analyze Comment Sentiment Across Platforms

Analyze Comment Sentiment Across Platforms

Gauge audience sentiment by collecting and analyzing comments from TikTok, YouTube, Instagram, and Reddit posts.

Social Media Comments icon
Social Media Comments
4 agent guides
Open Research Campaign Reactions from Comments

Research Campaign Reactions from Comments

Measure how your marketing campaigns land by analyzing audience comments across TikTok, YouTube, and Instagram.

Social Media Comments icon
Social Media Comments
4 agent guides
Open Identify Common Questions from Comments

Identify Common Questions from Comments

Discover the questions your audience keeps asking by analyzing comment threads across YouTube, Reddit, and Instagram.

Social Media Comments icon
Social Media Comments
4 agent guides