Tools / Social Media Comments / Use Cases / 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.

Quick answer: Use the Social Media Comments tool through ToolRouter to research campaign reactions 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

A marketing campaign lives or dies in the comments. The metrics dashboard tells you impressions and click-through rates, but the comments tell you what people actually think. Did the humor land? Did the message confuse anyone? Are people sharing it because they love it or because they are roasting it? These qualitative signals are invisible in analytics dashboards.

Collecting comments from every post in a campaign across TikTok, YouTube, and Instagram gives you the full picture of audience reception. You can track whether the message resonated differently across platforms, identify which creative executions sparked the most positive engagement, and catch messaging problems before you scale spend on an underperforming variant.

How to research campaign reactions from comments with Claude, ChatGPT, Microsoft Copilot, and OpenClaw

Claude makes campaign reaction analysis an interactive terminal debrief. Pull comments from all campaign posts and Claude analyzes audience reception across platforms, discussing which creative elements resonated and which fell flat. Ask follow-up questions like "did the humor land differently on TikTok versus Instagram?" for a nuanced, cross-platform campaign assessment.

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 research campaign reactions from comments with Claude

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

Ask Claude: "Pull comments from all our campaign posts -- here are the TikTok, YouTube, and Instagram URLs"
Claude collects comments across platforms and analyzes the overall campaign reception
Ask: "Which platform had the best reception? What messaging resonated most?"

Example prompt for Claude

Try this with Claude using the Social Media Comments tool

Collect comments from these three campaign posts -- one on TikTok, one on YouTube, one on Instagram. Compare audience reactions across platforms and identify what messaging worked best.

Tips for Claude

Include all creative variants to compare which execution resonated most with each audience
Ask Claude to write a campaign retrospective summary based on the comment analysis

ChatGPT generates campaign reaction reports with presentation-ready analysis. It pulls comments from campaign posts, categorizes audience feedback, and produces a retrospective document covering what worked, what did not, and what to change for the next campaign. The report format is designed for stakeholder debriefs and planning sessions.

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 research campaign reactions from comments with ChatGPT

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

Ask: "Collect comments from these campaign posts on TikTok and Instagram"
ChatGPT fetches comments and analyzes the audience reception
Request: "Write a campaign performance summary based on the comment sentiment"

Example prompt for ChatGPT

Try this with ChatGPT using the Social Media Comments tool

Pull comments from our campaign posts on TikTok and Instagram. Analyze how the audience responded to each creative variant and summarize the key takeaways.

Tips for ChatGPT

ChatGPT can generate presentation-ready campaign retrospective summaries
Ask it to compare reactions to different creative executions within the same campaign

Copilot pulls campaign comment data from your IDE for building campaign analytics into your marketing tools. Fetch reaction data and Copilot helps write the analysis scripts, sentiment scoring, and reporting automation that turn campaign comments into structured performance insights.

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 research campaign reactions from comments with Copilot

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

In Copilot Chat: "Collect comments from these YouTube campaign videos"
Copilot fetches comments and provides a structured reaction analysis
Ask: "Export the sentiment data as CSV for our campaign dashboard"

Example prompt for Copilot

Try this with Copilot using the Social Media Comments tool

Pull comments from these three YouTube campaign videos. Categorize reactions and export as structured data I can use in our analytics pipeline.

Tips for Copilot

Export structured data to feed into existing campaign analytics dashboards
Batch-process all campaign URLs in one session for a complete picture

OpenClaw automates campaign reaction analysis by batch-pulling comments from all campaign posts across platforms in one operation. Output includes structured sentiment data per creative variant, platform comparison metrics, and key quote extraction. Feed into your campaign reporting pipeline for automated retrospective generation.

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 research campaign reactions from comments with OpenClaw

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

Ask OpenClaw: "Pull comments from our campaign posts across TikTok and YouTube"
OpenClaw collects comments and analyzes audience reactions
Ask: "Summarize the overall campaign reception with key quotes"

Example prompt for OpenClaw

Try this with OpenClaw using the Social Media Comments tool

Collect comments from our TikTok and YouTube campaign posts. Analyze the reactions, identify the top praise and criticism themes, and pull representative quotes.

Tips for OpenClaw

Ask for representative quotes to include in campaign reports for stakeholders
Compare reactions over time if running an ongoing campaign with multiple posts

Frequently Asked Questions

How do I research campaign reactions from comments with an AI assistant?

Measure how your marketing campaigns land by analyzing audience comments across TikTok, YouTube, 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 all our campaign posts -- here are the TikTok, YouTube, and Instagram URLs" Claude collects comments across platforms and analyzes the overall campaign reception

Which AI assistants can research campaign reactions from comments?

Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all research campaign reactions 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.

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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.