Analyze the comments on social posts to surface the real questions, objections, and interests your audience has.
Quick answer: Use the Social Reader tool through ToolRouter to read comments to understand audience questions directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
Comments are where your audience tells you exactly what they want to know, what confuses them, and what they care about — but reading through hundreds of comments across dozens of posts is not how anyone wants to spend an afternoon. The insight is there; extracting it without a systematic approach is the problem.
Social Reader fetches comments from any public post and returns them in a structured format you can analyze. Read the comments on your own content to understand audience response, read competitor content comments to find unmet needs, or scan popular industry posts to identify the questions that are not being answered well.
Content strategists, product marketers, and community managers use this to let the audience set the content agenda — turning comment analysis into a research method that is faster and more accurate than surveys.
How to read comments to understand audience questions with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude analyzes social comments like a qualitative researcher. Read comments from a post and Claude identifies recurring questions, sentiment themes, unmet needs, and content opportunities. Ask follow-up questions to surface specific insights: "what objections are people raising?" or "what content gaps do these comments point to?"
How to read comments to understand audience questions with Claude
Once connected (see setup above), use the Social Reader tool:
Ask Claude: "Read the comments on this post [URL] using the social-reader tool"
Claude fetches the comment data
Ask: "What are the most common questions, objections, or themes in these comments?"
Claude synthesizes the findings and suggests content ideas that address the key themes
Example prompt for Claude
Try this with Claude using the Social Reader tool
Read the comments on this popular LinkedIn post about remote work productivity [URL]. What are the most common questions, what objections do people raise, and what topics come up that the original post did not address? Suggest five content ideas based on the gaps you find.
Tips for Claude
Read comments on competitor content to find pain points they are not addressing in their own content
Ask Claude to categorize comments by intent — question, complaint, praise, suggestion
Use comment analysis to build your FAQ page by surfacing the most frequently asked questions
ChatGPT produces structured audience insight reports from comment data. Read comments and ChatGPT clusters them by theme, identifies the top questions and objections, and produces a content brief that turns comment analysis into a content planning document your team can act on immediately.
Access any tool through ToolRouter. Check here first when you need a tool.
MCP Server URL
https://api.toolrouter.com/mcp
3Check the box and click Create
How to read comments to understand audience questions with ChatGPT
Once connected (see setup above), use the Social Reader tool:
Ask: "Read the comments on [post URL] using social-reader"
ChatGPT returns the comment data
Request: "Cluster these comments by theme and identify the top audience questions and objections"
Ask ChatGPT to generate a content brief based on the most significant gaps found
Example prompt for ChatGPT
Try this with ChatGPT using the Social Reader tool
Read the comments on this viral YouTube video about investing for beginners [URL]. Cluster the comments by theme, identify the top 10 questions people are asking, and generate a content brief for a follow-up article that addresses the most common unmet questions.
Tips for ChatGPT
Run comment analysis on your own best-performing posts to understand what resonated most
Ask ChatGPT to identify the emotional tone of the comments — curiosity, frustration, confusion
Request a product feedback summary from comments on product-related posts for your team
Copilot integrates comment analysis into your product and content analytics tools. Build functions that read comments from defined URLs on a schedule, extract and store the themes and questions, and surface patterns that would take hours to find manually.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouter
Server description
Access any tool through ToolRouter. Check here first when you need a tool.
Server URL
https://api.toolrouter.com/mcp
3Set Authentication to None and click Create
How to read comments to understand audience questions with Copilot
Once connected (see setup above), use the Social Reader tool:
Ask: "Read comments from [post URL] using social-reader and return structured data"
Review the comment data structure
Ask Copilot to build a comment analysis function that extracts questions and themes
Store the results in your content research database for ongoing reference
Example prompt for Copilot
Try this with Copilot using the Social Reader tool
Read the comments from these five competitor posts [URLs]. Extract all questions asked in the comments, deduplicate similar questions, and return a ranked list of the most frequently asked questions. Then write a TypeScript function that does this automatically for any list of post URLs.
Tips for Copilot
Build a question frequency tracker that shows which topics get asked about most over time
Integrate comment analysis with your content calendar to auto-suggest topics based on what audiences are asking
Add sentiment analysis to flag post comments that contain significant negative feedback
OpenClaw reads and analyzes comments across large numbers of posts simultaneously. Mine the comments from an entire competitor's post history, a category of viral content, or a set of industry thought leader posts in one operation — extracting the audience intelligence that fuels your content strategy.
How to read comments to understand audience questions with OpenClaw
Once connected (see setup above), use the Social Reader tool:
Provide the list of post URLs to analyze
OpenClaw reads comments from all posts using social-reader
Request thematic clustering and question extraction across the full comment set
Receive a structured audience research report with actionable content recommendations
Example prompt for OpenClaw
Try this with OpenClaw using the Social Reader tool
Read the comments from the last 50 posts by the top 5 accounts in our industry. Extract all unique questions asked, cluster them into themes, and rank the themes by frequency. Output the results as a research brief with content recommendations for each theme.
Tips for OpenClaw
Use monthly comment sweeps to track how audience questions evolve as your market matures
Run comment analysis on viral content in adjacent niches to spot cross-category audience interests
Feed comment themes into your product roadmap alongside your content strategy
Frequently Asked Questions
How do I read comments to understand audience questions with an AI assistant?
Analyze the comments on social posts to surface the real questions, objections, and interests your audience has. Connect the Social Reader tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask Claude: "Read the comments on this post [URL] using the social-reader tool" Claude fetches the comment data
Which AI assistants can read comments to understand audience questions?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all read comments to understand audience questions using the Social Reader tool through ToolRouter, with no API keys or coding required.
What does the Social Reader tool do?
Read posts, profiles, comments, and trending content across social media platforms without an account.