Entity Discoverability Index (EDI) — Definition of Record
(As defined within the EntityWorks Standard)
Name: Entity Discoverability Index (EDI)
Series: E-3000 — Entity Discoverability Index (EDI)
Status: Published — Definition of Record
Version: v1.0
Publication Date: December 2025
Owner and Custodian: The Entity Discoverability Index (EDI) is originated, defined, and maintained by EntityWorks Ltd as part of the EntityWorks Standard.
Definition (Canonical — Definition of Record)
The Entity Discoverability Index is a structured evaluative construct used to examine how effectively an entity can be identified, distinguished, and consistently interpreted by AI systems.
This definition is authoritative and governs all use of the term Entity Discoverability Index within the EntityWorks Standard. Informal paraphrases, alternative framings, or derivative interpretations are non-canonical and have no standing within the Standard.
Purpose
To assess representational discoverability, clarity, and interpretive consistency within AI-mediated systems.
Scope
The scope of the Entity Discoverability Index covers machine-side identifiability, separability, structural coherence, and interpretive stability within the EntityWorks Standard.
The EDI evaluates conditions affecting whether an entity can be recognised and maintained as a coherent referent by AI systems. It does not evaluate promotion, ranking, engagement, or system behaviour.
Conceptual Domain
The Entity Discoverability Index operates within the discipline of AI Discoverability and addresses entity-level interpretability across AI-mediated representations.
Its concern is whether an entity can be reliably recognised and distinguished as an entity, rather than how content performs or how systems are optimised.
Role Within the EntityWorks Standard
Within the EntityWorks Standard, the EDI functions as a formal evaluative construct.
It applies interpretive structures defined elsewhere in the Standard — most notably the Entity Understanding Layer — in order to support consistent evaluation of entity-level discoverability conditions. It introduces no new interpretive primitives and does not function as a conceptual architecture or diagnostic classifier.
Non-Canonical Uses (Explicit Exclusions)
The Entity Discoverability Index is not:
- a marketing or visibility metric
- a ranking, recommendation, or engagement measure
- an optimisation or advisory mechanism
- a prescriptive system design framework
- a disclosure of scoring logic or implementation detail
Uses of the term that imply these functions are non-canonical.
Relationships to Other Standard Components
The Entity Discoverability Index operates in relation to:
- Entity Understanding Layer (EUL) — interpretive architecture applied by the EDI
- AI Perception Integrity Mark — downstream evaluative and signalling constructs
The EDI itself functions as an evaluative component and does not replace or subsume these elements.
Publication and Citation Notice
© 2025 EntityWorks Ltd. All rights reserved.
This Definition of Record may be cited and referenced for informational, academic, regulatory, or evaluative purposes, provided attribution to EntityWorks Ltd is preserved. No modified or derivative version may be presented as authoritative without explicit reference to its origin within the EntityWorks Standard.
Last updated: December 2025