Working definition
Semantic coherence describes how consistently the brand is represented across sources, systems, prompts and contexts.
For research use, DTBE retains Semantic Coherence as consistency in generated meaning under specified conditions. Signal Coherence concerns the input signals an organization and its surrounding ecosystem reinforce. The two constructs describe different objects of observation.
What consistency means
A comparison can examine whether the same identity, category position, or association appears across prompt families, interfaces, search conditions, or collection periods. The study must define which propositions it compares and which differences are appropriate for the task.
A product recommendation and an employment question should not produce identical descriptions. Relevant variation can preserve the brand's distinctions. Repeated wording is therefore a poor substitute for examining meaning.
Evidence and boundaries
Consistency alone establishes neither accuracy nor desirable positioning. A system can consistently repeat an incorrect, generic, or unfavorable association. A longer answer can add detail without improving fidelity to the evidence.
Operationalization remains open. A measure needs stated conditions, coding rules, and acceptable context-sensitive differences. Comparing systems, prompts, and contexts can reveal variation; it does not supply a validated universal score. An intervention that aligns public input signals also needs separate evidence before claiming improved output coherence.
Relationship to DTBE
Semantic Coherence examines variation in the Semantic Entity expressed across observations. It complements Statistical Availability, which includes whether the brand is surfaced and how it is framed. Input signals and generated meaning require separate observations.
