Sample Audit Metrics
See how your citations measure across key AI discoverability factors.
The Visibility Gap
Most citation audits focus on domain authority and traffic metrics that don't translate to AI visibility.
Without measuring crawlability, context depth, and entity alignment, you're optimizing for yesterday's algorithms while AI systems overlook your best citations.
Common Blind Spots
- • High DA links that AI can't crawl
- • Context-weak placements with poor semantic signals
- • Entity misalignment reducing knowledge graph connection
- • Unstable citations prone to content drift
- • Duplicate patterns that dilute authority
What We Measure
Our audit goes beyond traditional metrics to evaluate AI-specific visibility factors.
AI Visibility Analysis
Identify which citations are actually visible to AI crawlers vs invisible noise.
Context Scoring
Measure semantic context depth and relevance for each citation placement.
Risk Assessment
Identify stability risks, duplication issues, and crawlability problems.
Performance Tracking
Baseline measurements for ongoing monitoring and improvement tracking.
Audit Process
Citation Discovery
Comprehensive mapping of existing citations across the web.
AI Crawl Testing
Verify which citations are accessible to AI systems.
Context Analysis
Measure semantic depth and entity alignment for each citation.
Risk Assessment
Identify stability issues and potential problem areas.
Action Plan
Prioritized recommendations for improving AI visibility.