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Analytics Overview

The LLMTAG plugin provides comprehensive analytics to help you understand AI agent activity, monitor protection effectiveness, and make informed decisions about your content policies.

Real-Time Analytics

Live Monitoring • Detailed Reports • Trend Analysis • Custom Dashboards

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Dashboard Overview

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Main Dashboard

Access your analytics dashboard at LLMTAG > Analytics in your WordPress admin.

Real-Time Stats

Current AI agent activity Blocked requests in last hour Active protection status System health indicators

Quick Insights

Top blocked agents Most active time periods Geographic distribution Protection effectiveness

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Key Metrics

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Protection Metrics

Total Blocked Requests

Metric: Number of AI agent requests blocked Timeframe: Configurable (1 hour, 24 hours, 7 days, 30 days) Purpose: Measure protection effectiveness

Block Success Rate

Metric: Percentage of AI agents successfully blocked Calculation: (Blocked / Total AI Requests) × 100 Purpose: Evaluate blocking accuracy

Last Blocked Event

Metric: Most recent AI agent blocking event Details: Agent name, time, IP address, reason Purpose: Monitor real-time activity

Active AI Agents

Metric: Number of unique AI agents detected Timeframe: Last 24 hours Purpose: Understand AI agent diversity

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Real-Time Monitoring

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Live Activity Feed

Monitor AI agent activity as it happens:
1

Access Live Feed

Go to LLMTAG > Analytics > Live Activity
2

View Real-Time Events

See AI agent requests and blocking events as they occur
3

Filter by Agent Type

Filter the feed by specific AI agents or categories
4

Export Activity Data

Export real-time data for external analysis

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Live Metrics

Requests per Minute

Shows: Current rate of AI agent requests Updates: Every 30 seconds Purpose: Monitor traffic patterns

Block Rate

Shows: Current percentage of requests being blocked Updates: Every minute Purpose: Monitor protection effectiveness

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Detailed Analytics

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AI Agent Analysis

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Top Blocked Agents

See which AI agents are most frequently blocked:

GPTBot

Requests: 1,247 blocked Percentage: 34.2% Trend: ↗️ Increasing Last Seen: 2 minutes ago

ChatGPT-User

Requests: 892 blocked Percentage: 24.5% Trend: ↗️ Increasing Last Seen: 5 minutes ago

Claude-Web

Requests: 567 blocked Percentage: 15.6% Trend: ↘️ Decreasing Last Seen: 12 minutes ago

PerplexityBot

Requests: 445 blocked Percentage: 12.2% Trend: → Stable Last Seen: 8 minutes ago
1

Select Time Period

Choose from 1 hour, 24 hours, 7 days, or 30 days
2

View Trend Charts

See how AI agent activity changes over time
3

Compare Agents

Compare activity between different AI agents
4

Export Data

Export trend data for external analysis

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Geographic Analysis

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Request Origins

See where AI agent requests are coming from:

United States

Requests: 2,156 (59.2%) Top Agent: GPTBot Trend: ↗️ Increasing

United Kingdom

Requests: 567 (15.6%) Top Agent: ChatGPT-User Trend: → Stable

Germany

Requests: 445 (12.2%) Top Agent: Claude-Web Trend: ↘️ Decreasing

Other Countries

Requests: 472 (13.0%) Top Agent: Various Trend: → Stable

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Time-Based Analysis

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Hourly Patterns

1

View Hourly Chart

See AI agent activity patterns throughout the day
2

Identify Peak Hours

Find when AI agents are most active
3

Plan Protection Strategy

Adjust protection levels based on activity patterns
4

Optimize Resources

Allocate server resources based on peak usage

Weekday Activity

Pattern: Higher activity during business hours Peak: 2:00 PM - 4:00 PM Average: 45 requests/hour

Weekend Activity

Pattern: Lower but consistent activity Peak: 10:00 AM - 12:00 PM Average: 28 requests/hour

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Custom Reports

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Report Builder

Create custom reports tailored to your needs:
1

Select Metrics

Choose which metrics to include in your report
2

Set Time Range

Define the time period for your report
3

Add Filters

Filter data by agent type, geographic location, or other criteria
4

Generate Report

Create and view your custom report
5

Schedule Reports

Set up automatic report generation and delivery

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Pre-Built Reports

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Daily Protection Summary

Daily Protection Summary - January 15, 2024

Total AI Agent Requests: 3,642
Successfully Blocked: 3,642 (100%)
Block Success Rate: 100%

Top Blocked Agents:
1. GPTBot: 1,247 requests (34.2%)
2. ChatGPT-User: 892 requests (24.5%)
3. Claude-Web: 567 requests (15.6%)
4. PerplexityBot: 445 requests (12.2%)
5. Other: 491 requests (13.5%)

Geographic Distribution:
- United States: 2,156 requests (59.2%)
- United Kingdom: 567 requests (15.6%)
- Germany: 445 requests (12.2%)
- Other: 474 requests (13.0%)

Peak Activity: 2:00 PM - 4:00 PM (156 requests/hour)
Lowest Activity: 3:00 AM - 5:00 AM (12 requests/hour)

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Weekly Trend Analysis

Request Volume

Trend: ↗️ 15% increase from last week Peak Day: Tuesday (567 requests) Lowest Day: Sunday (234 requests)

Agent Diversity

Unique Agents: 12 (same as last week) New Agents: 0 Retired Agents: 0

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Automated Reports

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Email Reports

1

Configure Email Settings

Set up email addresses for report delivery
2

Choose Report Frequency

Select daily, weekly, or monthly reports
3

Customize Report Content

Choose which metrics and insights to include
4

Set Up Alerts

Configure alerts for unusual activity or issues

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Report Templates

Audience: Management, stakeholders Content: High-level metrics, trends, key insights Frequency: Weekly or monthly

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Performance Analytics

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System Performance

Monitor how the plugin affects your website’s performance:

Page Load Impact

Average Impact: +8ms Peak Impact: +15ms Trend: → Stable Optimization: Good

Memory Usage

Average Usage: 12MB Peak Usage: 18MB Trend: → Stable Optimization: Good

CPU Usage

Average Usage: 2.3% Peak Usage: 4.1% Trend: → Stable Optimization: Good

Database Queries

Average Queries: 3.2 per request Peak Queries: 5.8 per request Trend: → Stable Optimization: Good

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Optimization Recommendations

1

Analyze Performance Data

Review performance metrics to identify bottlenecks
2

Identify Optimization Opportunities

Look for areas where performance can be improved
3

Implement Optimizations

Apply recommended performance improvements
4

Monitor Results

Track performance improvements over time

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Data Export and Integration

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Export Options

Export your analytics data for external analysis:

CSV Export

Format: Comma-separated values Use for: Excel, Google Sheets, data analysis Data: Raw metrics and timestamps

JSON Export

Format: JavaScript Object Notation Use for: APIs, custom applications Data: Structured data with metadata

PDF Report

Format: Portable Document Format Use for: Presentations, documentation Data: Formatted reports with charts

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API Integration

Access analytics data programmatically: 
// Example API call to get analytics data
fetch('/wp-json/llmtag/v1/analytics', {
  method: 'GET',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  }
})
.then(response => response.json())
.then(data => {
  console.log('Analytics data:', data);
});

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Third-Party Integrations

Google Analytics

Integration: Send blocking events to GA4 Purpose: Combine with website analytics Setup: One-click integration

Slack Notifications

Integration: Send alerts to Slack channels Purpose: Team notifications Setup: Webhook configuration

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Troubleshooting

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Common Analytics Issues

Possible causes:
  • No AI agents accessing the site
  • Analytics not enabled
  • Database issues
  • Plugin configuration problems
Solutions:
  • Wait for AI agent traffic
  • Enable analytics in settings
  • Check database connectivity
  • Verify plugin configuration
Possible causes:
  • Caching issues
  • Time zone problems
  • Data processing errors
  • Configuration mistakes
Solutions:
  • Clear all caches
  • Check time zone settings
  • Review data processing logic
  • Verify configuration settings
Possible causes:
  • Too much data collection
  • Inefficient queries
  • Large database tables
  • Real-time processing overhead
Solutions:
  • Reduce data collection frequency
  • Optimize database queries
  • Clean up old data
  • Adjust real-time processing settings

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Best Practices

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Analytics Configuration

Set Appropriate Retention

Keep analytics data for a reasonable period (30-90 days) to balance insights with storage costs.

Regular Review

Review analytics data regularly to identify trends and make informed decisions.

Custom Alerts

Set up alerts for important events like high-volume blocking or new AI agents.

Data Backup

Regularly backup analytics data to prevent loss of historical information.

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Performance Optimization

Follow these tips to optimize analytics performance:
  • Enable caching for frequently accessed analytics data
  • Optimize database queries to reduce load
  • Clean up old data regularly to maintain performance
  • Use appropriate data retention periods
  • Monitor resource usage and adjust as needed

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Privacy and Compliance

Always ensure your analytics configuration complies with privacy regulations:
  • Anonymize IP addresses in analytics data
  • Respect user privacy when collecting data
  • Follow GDPR requirements for data processing
  • Implement data retention policies
  • Provide opt-out mechanisms where required