The Problem
Traditional link building optimizes for search engines from a decade ago. Today's AI systems crawl, process, and understand content differently.
Most citations are invisible to AI because they lack proper context, semantic signals, or crawlability. Your brand mentions exist but remain unencoded in the systems that matter most.
Common Citation Problems
- • JavaScript-rendered links AI can't crawl
- • Context-free mentions without semantic signals
- • Forced placements that feel unnatural
- • No entity alignment or knowledge graph connection
Our Approach
We engineer citations that AI systems can find, understand, and trust through careful placement and validation.
Editorial Context
Natural mentions within relevant editorial content that serves readers first.
Entity Alignment
Citations that strengthen your brand-topic connections in the knowledge graph.
Crawl Accessibility
Verified indexability and AI system accessibility for every placement.
Semantic Fit
Context analysis to ensure mentions feel natural and add genuine value.
What You Get
Timeline
Discovery
1-2 weeks
Topic mapping, brand analysis, and opportunity identification.
Placement
2-4 weeks
Handcrafted citation development and editorial integration.
Validation
1 week
Crawl verification, indexability testing, and quality assurance.
Monitoring
Ongoing
Persistence tracking and performance measurement.
Frequently Asked Questions
How is this different from traditional link building?
We focus on citations that AI systems can find and understand, not just human visitors. Every placement is optimized for machine readability and semantic context.
What types of content do you target?
Editorial articles, comprehensive guides, community discussions, and reference materials where your brand naturally fits the narrative.
How do you ensure editorial authenticity?
We only place citations where they genuinely add value to the content and reader experience. No forced or unnatural mentions.