TBFA Glossary
Key terms and concepts in Betweener Engineering™
Betweener Engineering™
The discipline of identifying, correcting, and engineering the gap between how AI systems perceive a business and who that business actually is.
Domain A
The authoritative external standards, regulations, scientific fields, and policy frameworks that provide credibility and structure.
Domain B
The client’s internal philosophy, tacit knowledge, practice logic, proprietary processes, and unique methodology.
Fusion Node
The named category created by fusing Domain A (authority) with Domain B (identity) into a proprietary concept only you can claim.
Semantic Endurance
The long-term, stable visibility and perception of an identity inside AI systems, built through structured schema and identity surfaces.
Category of One
A unique market position or expertise area that only you can hold, making you the sole authority AI systems cite.
Identity Collapse
When AI misinterprets, flattens, or fails to recognize distinct expertise within an industry, causing businesses to lose differentiation.
Truth Corpus
All structured definitions, doctrinal content, and authoritative information about your identity and category.
Betweener OS
The structured 8-step operating system used to engineer Category-of-One identities for AI systems.
AI Perception Audit
A comprehensive analysis of how AI systems currently understand, describe, and cite your business or expertise.
Visibility Intelligence
Strategic insights about how your identity appears across AI systems, search engines, and answer engines.
Machine Identity
How AI systems perceive and represent your business through structured data, schemas, and semantic connections.