Source hierarchy

Source hierarchy

This page is the canonical definition for source ordering inside the interpretive governance corpus.

Source hierarchy is the priority structure that determines which sources can authorize, qualify, constrain or invalidate an AI-generated answer.

Short definition

Source hierarchy is the priority structure that determines which sources can authorize, qualify, constrain or invalidate an AI-generated answer.

Why it matters

Retrieval is not authority. A system may retrieve official pages, third-party summaries, old versions, reviews, social fragments and generated descriptions in the same context window. Without source hierarchy, it can average them, smooth them or choose the most semantically salient source instead of the most authoritative one.

This is why the term belongs in the interpretive governance lexicon rather than in a generic SEO, analytics or monitoring vocabulary. The concern is not merely whether a page is visible. The concern is whether a system can reconstruct the correct meaning, assign the right authority to the right source and expose uncertainty when the available evidence does not justify a clean answer.

What it is not

A source hierarchy is not a sitemap, a list of important pages or a generic instruction to use official sources first. It must specify what happens when sources contradict each other, when a useful source is not authoritative and when historical material remains visible after correction.

The distinction is important for search strategy. A support article can explain the concept, a hub can organize the cluster and a framework can apply the concept, but this page is the canonical definition. Internal links should therefore point to Source hierarchy when the term itself is introduced.

Common failure modes

• canonical and derivative sources are treated as equivalent;
• an outdated page keeps version power;
• a third-party description is easier to parse than the official canon;
• contradictions are hidden by synthesis;
• a source is used beyond its authority boundary.

These failure modes are not edge cases. They are normal outputs of systems that compress evidence, arbitrate between sources and answer under uncertainty without an explicit governance layer.

Governance implication

A serious corpus should label canonical, supporting, derivative, contextual, historical, contradictory and excluded sources. Internal links and machine-readable artifacts should reinforce that ordering.

For SERP ownership, the same rule applies editorially. The site should not allow several pages to compete silently for the same term. Hubs, categories, articles and service pages should name this surface as the primary definition, then use more specialized pages for applications, cases and methods.

Related canonical definitions

• Interpretive governance
• Authority boundary
• Authority conflict
• Response conditions
• Proof of fidelity
• Canonical fragility
• Interpretive legitimacy

Supporting surfaces

• Authority boundary
• Proof of fidelity
• RAG governance vs interpretive governance

Phase 2 adjacency: from hierarchy to ordering

Source hierarchy becomes enforceable only when it is converted into authority ordering. A hierarchy lists classes of sources; ordering decides which source governs a claim when several sources are visible, admissible, old, contextual or contradictory.

Without this second movement, an AI system can still retrieve the right corpus and produce unauthorized synthesis by letting a contextual source govern a conclusion. The hierarchy must therefore be connected to the interpretive perimeter, authority conflict and mandatory silence.