Multi-Platform Brand Sentiment Aggregator
Build a unified sentiment analysis system that aggregates brand perception across Twitter, Instagram, and Reddit, revealing how audiences feel about your brand on each platform.
The Problem
Understanding brand sentiment requires more than monitoring a single platform. Your audience discusses your brand across multiple social networks, each with different demographics, conversation styles, and sentiment patterns.
Platform silos hide the full picture
Twitter shows professional commentary, Instagram captures lifestyle sentiment, Reddit reveals unfiltered opinions. Without cross-platform aggregation, you miss critical signals.
Manual analysis doesn't scale
Reading thousands of posts across multiple platforms to classify sentiment exhausts human analysts and creates dangerous delays.
Different APIs mean different data formats
Building unified dashboards requires wrestling with inconsistent APIs, rate limits, and data structures from each platform.
Sentiment shifts happen fast
By the time you manually aggregate cross-platform data, the conversation has already moved on.
The Workflow
Build a comprehensive sentiment monitoring system that tracks brand perception across all major platforms through a single interface.
Example Queries
Ask Claude in natural language. Here are some examples with the underlying API calls:
Monitor brand sentiment across Twitter
>"Search Twitter for posts mentioning "YourBrand" from the past 30 days. Include text, authorUsername, likeCount, retweetCount, createdAtDate."
Aggregate Instagram brand perception
>"Find Instagram posts mentioning "YourBrand" or using #yourbrand from the past month. Include caption, username, likeCount, commentCount."
Track Reddit discussions
>"Search Reddit for posts and comments mentioning "YourBrand" in relevant subreddits. Include title, body, score, numComments."
Why XPOZ
Unified API access
Query Twitter, Instagram, and Reddit through a single interface without managing separate API credentials.
Consistent data formats
Receive structured, comparable data regardless of source platform.
Natural language queries
Ask for what you need in plain English instead of writing platform-specific API calls.
CSV export
Export complete datasets for offline sentiment classification and trend analysis.
Historical data access
Analyze sentiment trends over time without maintaining your own data archives.
Frequently Asked Questions
Yes. Run parallel queries for your brand and competitors to build comparative sentiment dashboards. The unified interface makes cross-brand analysis straightforward.
Xpoz returns engagement metrics (likes, retweets, comments) with each mention. Weight your sentiment scores by these metrics to prioritize high-visibility conversations.
Export raw text via CSV and process through your preferred sentiment model. Many teams use Claude itself for nuanced sentiment classification during analysis.
Get Started
Begin building your sentiment aggregator in under five minutes:
Connect Xpoz MCP: Add https://mcp.xpoz.ai/mcp as a connector in Claude
Define your brand monitoring keywords
Run cross-platform queries and export results for analysis
Xpoz includes 100,000 free results per month.
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Ready to Build Your Multi-Platform Brand Sentiment Aggregator?
Get started with 100,000 free results per month. No credit card required.