Spot Viral Content About Your Brand Before It Explodes
Build an anomaly detection system using Xpoz MCP and Claude AI that identifies unusually viral content about your brand—giving you precious hours to respond before a narrative spirals out of control.
The Problem
A single viral post can reshape public perception of your brand overnight. By the time most monitoring tools send an alert, the conversation has already moved beyond your control. Traditional social listening fails because:
Delayed detection
Scheduled reports and batch processing mean you're always reacting to yesterday's crisis
Volume-based blind spots
High-mention brands get alert fatigue; low-mention brands miss subtle spikes that represent massive percentage increases
Missing engagement context
Knowing a post exists tells you nothing about whether it's gaining momentum
Cross-platform fragmentation
A story can explode on Twitter while your Instagram monitoring stays silent
The Workflow
This agentic workflow combines Xpoz MCP's social media data access with Claude's analytical capabilities to create a continuous anomaly detection system.
Example Queries
Ask Claude in natural language. Here are some examples with the underlying API calls:
Baseline establishment query
>"Search for posts containing "YourBrand" OR "@YourBrandHandle" from the past 60 days, including fields: id, text, authorUsername, createdAtDate, likeCount, retweetCount, quoteCount, replyCount"
Real-time spike detection
>"Find posts mentioning "YourBrand" from the last 4 hours with likeCount > 500 OR retweetCount > 100 Include authorUsername, followersCount, and all engagement metrics"
Amplifier analysis
>"Get users who interacted with post [ID] as retweeters Include fields: username, followersCount, isVerified, description"
Cross-platform correlation
>"Search Instagram posts mentioning "YourBrand" from the last 24 hours with engagement metrics to identify coordinated campaigns"
Why XPOZ
No Platform API Keys Needed
Access Twitter and Instagram data without navigating each platform's API approval process. The Model Context Protocol connection handles authentication, letting you focus on analysis rather than infrastructure.
Engagement Metrics Included by Default
Every post query returns the engagement data you need for velocity calculations—likes, retweets, quotes, replies, impressions. No separate API calls or rate limit juggling.
Natural Language Queries
Ask Claude to "find posts about our brand with unusual engagement" rather than constructing complex API parameters. The MCP integration translates intent into precise queries.
Historical Context Available
Baselines require history. Xpoz provides access to historical social media data, enabling the comparative analysis that makes anomaly detection meaningful.
User Profile Intelligence
When investigating amplifiers, you get full profile context—follower counts, verification status, account age, and authenticity signals—in a single query.
Frequently Asked Questions
Start with 3x your baseline average engagement for posts less than 6 hours old. Refine based on false positive rates. The right threshold depends on your brand's typical mention volume—a 100-follower account post getting 50 retweets might be more anomalous than a major publication getting 5,000.
Yes. The system detects engagement velocity regardless of sentiment. Claude can analyze post content and reply sentiment to categorize whether a spike represents opportunity (positive viral moment) or crisis (negative viral moment), letting you tailor your response.
With queries running every 15-30 minutes, you can typically identify acceleration patterns 2-4 hours before content reaches mainstream visibility. The detection speed depends on your monitoring frequency and threshold sensitivity.
Especially well. Low-mention brands benefit most from percentage-based anomaly detection. A brand that normally gets 10 mentions daily will see a 50-mention day as a massive spike, while volume-based tools might ignore it entirely.
Absolutely. Run parallel baseline and monitoring workflows for competitor brands. Detecting when competitors face viral moments—positive or negative—provides strategic intelligence for your own positioning.
Get Started
Connect Xpoz MCP to Claude through Claude.ai settings (Connectors → Add custom connector → https://mcp.xpoz.ai/mcp) and begin with a baseline query for your brand. The free tier includes 100,000 results per month—enough to establish baselines and run continuous monitoring for most brands. Start with daily monitoring, then increase frequency as you refine your thresholds. Within a week, you'll have the engagement velocity data needed to confidently detect the next viral moment before it defines your brand narrative.
Open Claude settings and navigate to Connectors
Add a custom connector with URL: https://mcp.xpoz.ai/mcp
Authenticate with your account
Your first 100,000 results each month are free—no credit card required.
Related Use Cases
Aggregate Competitor Reviews for Strategic Positioning
Turn scattered competitor feedback into actionable positioning insights with Claude AI and Xpoz MCP.
Security & RiskDetect and Respond to Crises in Real-Time
Transform your crisis response from reactive damage control to proactive brand protection with automated social media monitoring through MCP.
Security & RiskMulti-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.
Ready to Build Your Spot Viral Content About Your Brand Before It Explodes?
Get started with 100,000 free results per month. No credit card required.