Whitepapers

Citation-grade research on Generative Engine Optimization, AI search infrastructure, and the translation layer between human-shaped publishing and machine-shaped retrieval. Each whitepaper is published with a downloadable DOCX and frozen evidence URLs.

v3.0 Published 2026-04-28

Generative Engine Optimization: Engineering Citation-Grade Infrastructure for AI Search

The translation-layer thesis, with empirical proof from the world's first 100% Relevance Ratio site.

AI fluency is an engineering problem at the delivery layer. This paper grounds the argument in three converging bodies of evidence: industry-coordinated AI-facing protocols (llms.txt, RFC 9309, JSON-LD, sitemap delivery); the bifurcation of crawler policy at major AI providers; and a publicly reproducible cohort study against industry peers across SNR, SGR, RTC, and RPS.

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