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   "was": "Retrieval Architecture is the practice of building the structures AI retrieval systems are forced to present -- entities, institutions, citation networks, and knowledge graph entries that the retrieval layer cannot compress away because they are architecturally irreducible. This document defines the discipline, distinguishes it from SEO and GEO, presents the proof of concept, and specifies the instruments used. Your entity exists in three places: your website, your customers' heads, and the AI retrieval layer. The first two are under your control. The third is not -- and it has become the primary discovery channel. — Description restored 2026-08-05 from composed from the work's own opening prose; it replaces a batch-restoration stub that described the recovery event rather than the work. A fuller editorial treatment belongs to the description/wiki review stream.",
   "now": "Retrieval Architecture is the practice of building the structures AI retrieval systems are forced to present -- entities, institutions, citation networks, and knowledge graph entries that the retrieval layer cannot compress away because they are architecturally irreducible. This document defines the discipline, distinguishes it from SEO and GEO, presents the proof of concept, and specifies the instruments used. Your entity exists in three places: your website, your customers' heads, and the AI retrieval layer. The first two are under your control. The third is not -- and it has become the primary discovery channel. — Description restored 2026-08-05, composed from the work's own opening prose; it replaces a batch-restoration stub that described the recovery event rather than the work. A fuller editorial treatment belongs to the description/wiki review stream."
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