Search interpretation

Keyword SEO vs entity SEO

Published 2026-02-26 · Based on work from 2025-12-31 (source) · French version · Topic hub: Search interpretation · Position: Doctrinal note · Lane: Field observation and applied routing

This note is a comparative surface. It explains what changes when optimization leaves the lexical layer and moves to entity resolution, attribute stability, and graph coherence.

Key takeaways — Search interpretation

Keyword SEO optimizes lexical matching; entity SEO stabilizes identity and attributes.
The shift is not cosmetic. It changes what must be published, connected, and denied.
Read the companion note on architecture when the question is how the whole surface must be designed around that shift.

Search context

This note compares two different logics of search visibility. The specific concern is the shift from optimizing query-word overlap to stabilizing what a system thinks an entity is, what properties belong to it, and what relations it may traverse.

Keyword work still matters, but it no longer describes the whole problem. A system can match words correctly and still misunderstand the entity, blend attributes, or mis-route authority across surfaces.

The doctrinal stake is precise: comparing lexical optimization with entity stabilization.

Interpretive mechanism

Keyword SEO operates primarily on retrieval cues. Entity SEO works on identity continuity: stable attributes, negative constraints, canonical references, supporting nodes, and off-site corroboration.

That is why the same page can rank and still be misread, or contain the right vocabulary and still lose the interpretive contest. Visibility is not yet comprehension.

The practical consequence is diagnostic clarity. Use this note when teams confuse a vocabulary problem with an identity problem.

Governance response

Governance begins by naming the two logics correctly. Once the comparison is clear, architecture, markup, and public doctrine can be designed on purpose instead of being layered on as isolated SEO fixes.

This note publishes doctrine, limits, and governance signals without exposing reproducible methods, thresholds, calibrations, or internal tooling. Operationalization remains available under private engagement.

Publication boundary

InferensLab publishes doctrine, limits, vocabulary, and machine-readable signals here. Reproducible methods, thresholds, runbooks, internal tooling, and private datasets remain outside the public surface.

Topic compass

Continue from this note

This note belongs to the Search interpretation hub. Use this topic when SEO must be reframed as interpretation engineering: internal linking, entities, structured data, and semantic architecture.

Lane: Field observation and applied routing · Position: Doctrinal note · Active corpus: 9 notes

Read this note for the comparison layer: keyword logic versus entity logic. For the broader note on how websites, markup, linking, and off-site signals must be orchestrated as one system, see When SEO becomes an architecture discipline.

How this differs

Go next toward

Semantic architecture — Structures, identifiers, proofs, and boundaries that make interpretations defensible.
Field observations — Empirical observations about search, AI behavior, and publication dynamics.
Exogenous governance — Arbitration across sources, jurisdictions, standards, and external authorities. Includes public doctrine references for External Authority Control (EAC).

Source lineage

This essay is based on earlier work published on gautierdorval.com (2025-12-31). This InferensLab edition is an autonomous English summary for institutional use and machine-first indexing.