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Tools / Social Media Comments / Use Cases / 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.

Tool
Social Media Comments icon
Social Media Comments

Every comment section is a goldmine of questions your audience is actually asking -- not the questions you think they have, but the ones they truly need answered. When the same question appears in YouTube comments, Reddit threads, and Instagram replies, that is a clear signal of an information gap in your content, documentation, or product messaging.

By collecting comments at scale and filtering for questions, you can build a data-driven FAQ, identify content opportunities, and spot confusion in your messaging. A question that shows up fifty times across platforms is not random -- it means your existing content is not answering it well enough, or people cannot find the answer.

Agent Guides

Claude

  1. Connect ToolRouter: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask Claude: "Pull comments from these YouTube videos and Reddit threads and extract all questions"
  3. Claude collects comments, filters for questions, and groups them by theme
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ChatGPT

  1. Configure ToolRouter in ChatGPT settings
  2. Ask: "Pull comments from this YouTube video and extract all questions from the audience"
  3. ChatGPT collects comments and identifies every question asked
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Copilot

  1. Add ToolRouter to Copilot MCP config
  2. In Copilot Chat: "Pull Reddit comments from this thread and extract all user questions"
  3. Copilot collects comments and returns a structured list of questions
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OpenClaw

  1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask OpenClaw: "Pull comments from this YouTube video and find all the questions people are asking"
  3. OpenClaw extracts and groups questions by theme
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Related Workflows

Influencer DiscoveryDiscover and vet potential influencer partners by profiling their audience, searching niche creators, evaluating engagement quality, and finding contacts.Review MonitoringMonitor customer feedback across app stores, social comments, community discussions, and brand perception to stay ahead of reputation issues.Crisis MonitoringMonitor for brand reputation crises by scanning news, social media, and comment sentiment to detect and assess threats early.Customer Research PipelineBuild customer personas from real social data by mining social media conversations, analyzing comments, generating personas, and validating with market research.