Never Miss a Brand Crisis Again
Build an AI-powered brand monitoring system that detects reputation threats in real-time and alerts your team before a social media firestorm spirals out of control.
The Problem
Brand crises on social media don't announce themselves. They start as a single complaint, an unfortunate screenshot, or an employee misstep—then explode across platforms within hours. By the time your team notices, the damage is done.
Manual monitoring fails at scale
Your team can't watch every mention across Twitter, Instagram, and Reddit simultaneously. Negative sentiment clusters form in blind spots.
Platform-native tools lag behind
Built-in analytics dashboards show you what happened yesterday, not what's unfolding right now.
API complexity creates barriers
Building custom monitoring requires API keys from each platform, rate limit management, and constant maintenance as APIs change.
Context gets lost
Raw mentions don't tell you whether a complaint is an isolated incident or the leading edge of a coordinated backlash.
The Workflow
Xpoz MCP transforms Claude AI into a brand sentinel that continuously monitors social conversations and surfaces threats before they escalate.
Example Queries
Ask Claude in natural language. Here are some examples with the underlying API calls:
Why XPOZ
Unified multi-platform access
Query Twitter, Instagram, and Reddit through a single interface. No juggling multiple API dashboards or managing separate rate limits.
No platform API keys required
Xpoz handles data access through its remote MCP server. Connect once and start querying immediately—setup takes roughly two minutes.
Natural language queries
Ask Claude questions in plain English instead of constructing complex API calls. The Model Context Protocol translates your intent into precise data retrieval.
Authenticity scoring built in
Twitter data includes bot detection signals like `isInauthentic` and `isInauthenticProbScore`, helping you distinguish between genuine customer complaints and coordinated inauthentic behavior.
CSV export for deeper analysis
Export complete datasets for offline analysis, historical archiving, or integration with your existing business intelligence tools.
Frequently Asked Questions
Detection speed depends on your monitoring frequency. With Claude checking mentions every few minutes, you can identify unusual activity within an hour of it starting—well before most traditional monitoring tools would flag it.
Xpoz retrieves the raw social data; Claude AI performs the sentiment analysis. You can ask Claude to classify mentions as positive, negative, or neutral, and to surface only posts matching specific sentiment criteria.
Xpoz supports querying Twitter, Instagram, and Reddit through the same interface. Ask Claude to check all platforms in parallel, then correlate findings to understand cross-platform spread patterns.
Establish your baseline metrics first—typical daily mention counts, average engagement on negative posts, and normal sentiment distribution. Then configure alerts for deviations beyond your defined thresholds, such as 3x normal negative mention volume or any single post exceeding 500 retweets.
Yes. The same queries that track your brand can monitor competitor mentions, helping you identify industry-wide issues versus problems specific to your company.
Get Started
Connect Xpoz to Claude in under two minutes:
Open Claude settings and navigate to Connectors
Add the remote MCP server: `https://mcp.xpoz.ai/mcp`
Authenticate with your account
Your free tier includes 100,000 results per month—enough to build and test your brand monitoring system before scaling to production volumes. No credit card required, no platform API keys to obtain. Start asking Claude about your brand mentions today. The next crisis won't wait for your weekly analytics review.
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Ready to Build Your Never Miss a Brand Crisis Again?
Get started with 100,000 free results per month. No credit card required.