Market education paper addressed to the website development industry examining the structural gap between how websites are built and how AI systems discover, interpret, and trust content. Documents the fatal build sequence where planning meetings never ask how AI systems will comprehend the site, producing digital assets that are functional for humans but architecturally invisible to AI-mediated discovery. Analyses why retrofitting fails due to the compression problem, attribution gap, and temporal dimension of AI interpretation. Introduces the new architecture sequence where AI interpretability must be designed before backend development and visual design. Addresses implications for enterprise builders, mid-size agencies, and the transmission dynamics of architectural change across the 60,000–90,000 professional website development companies operating globally. Part of the AI Visibility Architecture (AIVA) framework documentation.
Bernard Lynch (2026) studied this question.
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