EEAT Mechanics

NSR (+ Fallback inheritance)

B/CLeak, verbatim

NSR (Normalized Site Rank) is the real quality core — a normalized quality and authority value computed for individual 'chunks' (subsections) of a website.

By Thomas Wawra·Last reviewed
Function class
Quality & Prediction
Axis
Standing
Reach
Site
Calibration source
mixed
Experience· noneExpertise· indirectAuthority· primaryTrust· indirect

What it measures

NSR (Normalized Site Rank) is the real quality core — a normalized quality and authority value computed for individual 'chunks' (subsections) of a website. New sections initially inherit the average of their neighboring chunks ('fallback inheritance'). The historicized signal (predictedDefaultNsr) shows development over time — the trajectory matters, not today's single value.

Derived from

Four combined data vectors: (1) link structure from the web, (2) click and satisfaction behavior, (3) thematic focus vectors (mathematical representations of topic space, called embeddings), (4) aggregated content quality from chard, OCS and contentEffort.

Metric detail

predictedDefaultNsr = historicized baseline quality score (VersionedFloatSignal -> the trajectory/consistency is the signal, not the daily value); nsrConfidence = Google's confidence in its own NSR judgment (deprecated). [B fields, C interpretation]

Why this attribution

Authority is primary — NSR is the machine core of authority assessment. Expertise and Trust are built in indirectly. Experience has no bearing: first-hand material from individual articles averages out when aggregated to site level.

Strategic consequence

The long-term trajectory matters, not today's value. New topic sections start with the house average — weak neighboring content pulls them down. Actively pruning thin pages raises the average of the whole section and with it the NSR.

Deep dive →
Q* and P*: The Two Pillars of Google's Ranking Architecture
18 claims· Expertise Authority Trust

Related systems

Answer modules will appear here (coming soon)