We don't trade links. We model credibility—and place what the math says will be found.
AI Citation Engineering
Handcrafted mentions in editorials, guides, and community answers. Reviewed for semantic fit, entity alignment, anchor hygiene, and crawl accessibility.
Editorial Context
Entity Alignment
Crawl Accessibility
Semantic Fit
CrawlCred™ Audit
Quantifies which links are AI-visible vs noise. Scores by crawl access, context depth, entity proximity, stability, and duplication risk.
AI Visibility Analysis
Context Scoring
Risk Assessment
Stability Monitoring
Transformer Visibility Boost
Campaign planning to raise your inclusion odds in AI Overviews/LLM answers. Targets consensus nodes, FAQs, roundups, evergreen references.
AI Overview Targeting
Consensus Mapping
FAQ Optimization
Evergreen Strategy
Entity & Schema Grounding
Tighten brand–topic connections using schema.org and consistent identity references. Reduce ambiguity. Reinforce the knowledge graph.
Schema Implementation
Identity Consistency
Knowledge Graph
Ambiguity Reduction
Credibility Insurance & Monitoring
Ongoing checks for persistence, page health, and content drift. Replace or re-earn when placements decay.
Persistence Monitoring
Health Checks
Content Drift Detection
Placement Recovery
Ready to get started?
Every placement is measured, monitored, and optimized for AI discoverability.