Citation Engineering

RELEVANCE

Reverse-Engineering What Makes LLMs Choose Your Content

📖 7 lessons⏱ 103 min🎯 7 quizzes📡 Module 2 of 8🤖 AI Lessons

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What you will learn

The 7 Citation Triggers: What 23,000+ AI Citations Reveal

Brand Authority as the #1 Citation Predictor

Creating Original Research That LLMs Must Cite

Reference Content Architecture: Building Wikipedia-Level Resources

Expert Quotation and Attribution Strategy for AI

Content Chunking: Optimizing for RAG Extraction Windows

+1 more topics

Pull quotes +37%, statistical facts +22%, self-contained chunks 50-150 words, original data 4.7x multiplier.

Brand search volume has highest correlation (0.334) with AI citations, building the brand authority signal stack.

Producing citable original data without a research budget: tool-based analyses, micro-surveys, benchmarks.

Definitive reference pages that become default citation targets, neutral tone, comprehensive coverage.

Sourcing, formatting, positioning expert quotes for AI extraction, attribution patterns.

How RAG systems chunk content, optimal paragraph lengths, heading-to-content ratios, self-contained sections.

Full citation engineering process: identify gaps, apply 7 triggers, restructure, benchmark before/after.

Beginner Intermediate Advanced

AI Search Architecture

Platform Content Strategies