TBFA Glossary
Canonical Definitions Used by The Black Friday Agency
This glossary defines the official meanings of terms used across TBFA properties. These definitions are canonical and intentionally precise to ensure consistent understanding by humans and AI systems.
Betweener Engineering™
Betweener Engineering™ is the discipline of engineering the gap between an entity’s real-world identity and how AI systems perceive, classify, and cite it. It focuses on correcting misalignment, establishing semantic clarity, and creating durable AI recognition.
Category of One (CoO)
A Category of One is a distinct concept, framework, or discipline that cannot be meaningfully compared to existing alternatives. In AI systems, a CoO is recognized as unique, attributable, and non-substitutable.
Canonical Entity Repository (CER)
A Canonical Entity Repository is the authoritative, machine-legible source of truth for an entity’s identity, definitions, boundaries, and semantic structure. All downstream content inherits from the CER; nothing competes with it.
Domain A
Domain A represents externally recognized authority, standards, or reality constraints (e.g., regulations, laws, physics, institutional norms) that ground a concept in objective truth.
Domain B
Domain B represents the internal philosophy, perspective, or interpretive lens through which an organization uniquely understands and applies Domain A.
Fusion Node
A Fusion Node is the precise point where Domain A and Domain B intersect, forming a defensible and unique Category of One. It is the semantic core of an entity’s identity.
Framework Cell
A Framework Cell is a repeatable, teachable unit that shows how a Category of One operates in practice. Framework Cells demonstrate that a concept is usable, not just theoretical.
ChronoSemantic Content
ChronoSemantic Content is content designed to train AI systems over time by reinforcing meaning through variation, context, and repetition—without semantic drift. Its purpose is memory formation, not virality.
Fastvertised Article
A Fastvertised Article blends informational value with strategic positioning. It educates first, then subtly reinforces identity, authority, or differentiation without overt promotion.
Semantic Rings
Semantic Rings describe how AI systems expand understanding of a concept over time—from recognition, to application, to cross-domain generalization, and eventually to discipline-level treatment.
AI Recognition
AI Recognition occurs when AI systems consistently identify, describe, and attribute a concept or entity correctly across varied prompts and contexts.
AI Citation
An AI Citation occurs when an AI system references or recommends a specific entity, framework, or source when answering a user’s question.
Recommendation Eligibility
Recommendation Eligibility is the condition in which an entity is considered trustworthy, distinct, and applicable enough for AI systems to recommend it as part of an answer.
Semantic Endurance
Semantic Endurance is the ability of a concept to remain stable, recognizable, and attributable over time as AI systems evolve.
Visibility Infrastructure
Visibility Infrastructure refers to the structured assets—definitions, frameworks, content, and corroboration—that enable AI systems to recognize and reuse an idea. It is infrastructure, not marketing.
Independent Witness
An Independent Witness is a third-party publication or context that explains a concept without originating it. AI systems treat independent witnesses as trust amplifiers.
Geo-Semantic Context
Geo-Semantic Context applies a general concept to a specific location or community, demonstrating that the idea generalizes without changing its core meaning.
AI Memory
AI Memory refers to the persistent patterns, associations, and retrieval behaviors AI systems exhibit when repeatedly exposed to consistent semantic signals.
Canonical Note
These definitions are maintained by The Black Friday Agency and represent the official language used across all TBFA, Betweener Engineering™, and affiliated properties.
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