Semantic Substrate

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The logic layer for attribution — formalizing how credit is computed.

A precise name for systems that encode the rules, models, and decision logic governing how attribution is assigned — turning credit allocation from an art into a computable function.

Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.

Primary home

Attribution cluster357

Also appears in

Logic cluster12

Architectural context

Attribution · Cross-Vertical · 2 compound moats. Architectural surface: Attribution, Logic.

Layer position: Substrate (L1)

AttributionLogic

Why this is canonical

'Attribution Logic' names the decisional layer below attribution products: the formal rules and inference procedures that determine who gets credit for what, under which conditions. On .ai, it positions as the reasoning substrate for agentic attribution systems where the logic must be explicit, auditable, and adaptable.

Where it fits

A few directions this coordinate opens —

AI attribution rules engines
Encoding the logic of credit assignment for AI-generated outputs — who contributed what, under what threshold, with what confidence.
AI governance, attribution tooling builders
Marketing measurement
Formalizing attribution logic for multi-touch models — making the rules transparent, auditable, and configurable.
MarTech, growth analytics, measurement infrastructure

Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.

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