E-commerce Use Cases
Monitor how AI systems crawl your E-commerce content
Identify E-commerce pages that AI prioritizes
Optimize E-commerce site structure based on crawler data
Implementation Steps
Set up server log collection and storage
Identify AI bot user agents (GPTBot, ClaudeBot, PerplexityBot, etc.)
Parse logs to extract AI crawler activity
Analyze crawl frequency and patterns
Identify most and least crawled pages
Monitor for crawl errors and blocks
Correlate crawl patterns with visibility changes
E-commerce Tips
Optimize product catalog data and specifications
Include platform integration details and capabilities
Focus on merchant success metrics and outcomes
Common Mistakes
Not logging AI-specific user agents
Ignoring crawl errors and failures
No baseline for comparison
Failing to act on insights
Recommended Tools
Server log analysis tools
Custom log parsing scripts
Log management platforms
Crawl monitoring dashboards