The content discusses the structural inconsistency in how city and county governments publish information across multiple formats. It introduces an AI Citation Registry as a machine-readable system designed for AI to reliably identify authoritative sources and cite information with clear provenance.
This content explores how artificial intelligence systems probabilistically reconstruct government information, lacking stable attribution boundaries unlike fixed documents. Generative Engine Optimization (GEO) emerges as an approach to help AI systems identify and process information more effectively, though the issue of probabilistic reconstruction persists.
The content explains why websites and PDFs make accurate AI citation difficult, due to prioritizing human-centric design over consistent encoding of critical metadata. It proposes an AI Citation Registry, a machine-readable publishing system, to ensure reliable source identification, attribution, and provenance.