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.

Quick answer: Use the Social Media Comments tool through ToolRouter to identify common questions from comments directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.

Tool

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.

How to identify common questions from comments with Claude, ChatGPT, Microsoft Copilot, and OpenClaw

Claude turns FAQ extraction into a research conversation in your terminal. Pull comments from your content and Claude identifies every question, groups them by topic, and discusses which questions reveal gaps in your documentation or messaging. Ask follow-up questions to drill into specific topic areas or draft answers for the most common questions on the spot.

Connect ToolRouter to Claude

1Open connector settings Open Settings

2Add a custom connector with these details

Name

ToolRouter

URL

https://api.toolrouter.com/mcp

3Let Claude set you up Open Claude

How to identify common questions from comments with Claude

Once connected (see setup above), use the Social Media Comments tool:

Ask Claude: "Pull comments from these YouTube videos and Reddit threads and extract all questions"
Claude collects comments, filters for questions, and groups them by theme
Ask: "Rank these questions by frequency and suggest answers for the top ten"

Example prompt for Claude

Try this with Claude using the Social Media Comments tool

Collect comments from our last five YouTube videos and the relevant Reddit threads. Extract every question, group them by topic, and rank by how often each question appears.

Tips for Claude

Use the extracted questions to build a FAQ page or plan your next content calendar
Ask Claude to draft answers for the most common questions based on your existing content

ChatGPT extracts and organizes audience questions from social comments into a structured FAQ with ready-to-publish answers. It pulls comments, identifies every question, ranks them by frequency, and generates complete FAQ entries with concise, accurate answers. The output is a content asset you can publish directly to your help center or knowledge base.

Connect ToolRouter to ChatGPT

1Go to Settings → Apps → Advanced settings and enable Developer mode

2Click Create app and enter these details

Name

ToolRouter

Icon

Download

Description

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 identify common questions from comments with ChatGPT

Once connected (see setup above), use the Social Media Comments tool:

Ask: "Pull comments from this YouTube video and extract all questions from the audience"
ChatGPT collects comments and identifies every question asked
Request: "Group these into FAQ categories and suggest concise answers"

Example prompt for ChatGPT

Try this with ChatGPT using the Social Media Comments tool

Collect comments from this YouTube tutorial and this Reddit post. Extract all audience questions, group them by topic, and draft answers for the top five most common ones.

Tips for ChatGPT

ChatGPT can draft complete FAQ entries with both question and answer from the extracted data
Ask for questions that indicate confusion about your product versus general curiosity

Copilot pulls question data from social comments into your IDE for building documentation from real user needs. Fetch comments and Copilot helps identify questions that map to gaps in your existing docs, then generates FAQ entries in markdown format ready to commit to your documentation repository.

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 identify common questions from comments with Copilot

Once connected (see setup above), use the Social Media Comments tool:

In Copilot Chat: "Pull Reddit comments from this thread and extract all user questions"
Copilot collects comments and returns a structured list of questions
Ask: "Format these as a FAQ markdown file for our documentation"

Example prompt for Copilot

Try this with Copilot using the Social Media Comments tool

Collect comments from this Reddit thread about our API. Extract all developer questions and format them as a FAQ page in markdown.

Tips for Copilot

Perfect for building documentation FAQs directly from real user questions
Ask Copilot to identify which questions are already answered in your docs and which are gaps

OpenClaw automates FAQ extraction by batch-pulling comments from all your content and systematically extracting every question. Output includes structured question inventories grouped by topic, with frequency counts and suggested answer outlines. Feed into your documentation pipeline to build data-driven FAQ pages at scale.

Connect ToolRouter to OpenClaw

1Install the CLI

npm install -g toolrouter-mcp

2Call tools directly from OpenClaw

toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp tools

How to identify common questions from comments with OpenClaw

Once connected (see setup above), use the Social Media Comments tool:

Ask OpenClaw: "Pull comments from this YouTube video and find all the questions people are asking"
OpenClaw extracts and groups questions by theme
Ask: "Which questions appear most often? What content should we create to answer them?"

Example prompt for OpenClaw

Try this with OpenClaw using the Social Media Comments tool

Collect comments from our YouTube channel videos and extract every question. Identify the top ten most frequently asked questions we should address.

Tips for OpenClaw

Recurring questions reveal content gaps you should fill with new videos or articles
Compare questions across platforms to see if different audiences have different needs

Frequently Asked Questions

How do I identify common questions from comments with an AI assistant?

Discover the questions your audience keeps asking by analyzing comment threads across YouTube, Reddit, and Instagram. Connect the Social Media Comments tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask Claude: "Pull comments from these YouTube videos and Reddit threads and extract all questions" Claude collects comments, filters for questions, and groups them by theme

Which AI assistants can identify common questions from comments?

Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all identify common questions from comments using the Social Media Comments tool through ToolRouter, with no API keys or coding required.

What does the Social Media Comments tool do?

Collect and analyze comments from TikTok, YouTube, Instagram, and Reddit. Extract audience sentiment, questions, and feedback at scale.

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 Comments4 agent guides

Open Monitor Customer Issues in Social Comments

Monitor Customer Issues in Social Comments

Detect customer complaints, bug reports, and support requests hiding in social media comment threads.

Social Media Comments4 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 Comments4 agent guides

Open 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.

Social Media Comments4 agent guides

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.