Pillar · Hub Page
Authority in E-E-A-T: recognition by peers and users
Systems that measure whether a site is recognized as an authoritative source
Authority is about external recognition. A site is authoritative when other authoritative sites link to it, when users choose it over alternatives, and when it consistently satisfies search needs. Google measures this through click behavior, link analysis, and site-level quality aggregation.
Primary systems (5)
Systems where Authoritativeness is the primary E-E-A-T dimension.
NavBoost watches what users do after a Google search: do they click on a weather page and stay — or jump straight back to Google? The last, longest click of a session is the strongest signal because it shows the need was genuinely met. Real user behavior becomes a re-ranking signal, without Google having to read the content directly.
The counterpart to NavBoost for special Google elements like carousels, 'People also ask' boxes, or news features. Glue measures whether users interact with these elements — tapping a carousel, expanding an answer in a PAA box, or arriving at a page via a news feature. Instant Glue is the real-time variant for fast-moving events.
Q* is a summary quality score for the entire website — a 'balance' made up of the site's authority (siteAuthority), a low-quality flag (lowQuality), and the overall NSR value. This score changes slowly: internal Google documents describe it as 'largely static' — a sluggish foundation, not a day-to-day signal.
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.
Not a live signal used daily in ranking — but the foundation on which all quality models are calibrated. The IS-Score (Information Satisfaction) summarizes how well a page meets a user's information need, rated by trained human raters. The QRG (Quality Rater Guidelines) are the public rulebook by which these raters judge.
Indirect systems (8)
Systems that contribute to Authoritativeness indirectly.
Deep Dives (12)
NavBoost: How Google Uses Click Behavior to Re-Rank Search Results
From DOJ testimony to leaked API documentation — the most important ranking signal you can't directly manipulate
Q* and P*: The Two Pillars of Google's Ranking Architecture
The DOJ trial revealed that Google's ranking ultimately reduces to two top-level signals — Quality (Q*) and Popularity (P*). Here's what the evidence tells us about how they work.
Anchor-Spam: How Google Detects Manipulative Link Patterns
From 'miserable failure' Google bombs to the patent that reveals how context analysis catches anchor text manipulation
IS-Calibration: The Human Rater System That Trains Google's Quality Models
The hardest evidence in the entire matrix — DOJ/sworn material confirms the rater system that calibrates every quality signal Google uses
Topic-Embeddings: How Google Understands What Your Page Is About
The focus vectors and radius that determine topical relevance — and why a weather site needs a narrow focus to rank for weather queries
Glue: How Google Measures Interaction with Special Search Features
The NavBoost counterpart for carousels, 'People also ask' boxes, and news features — measuring whether users interact with special elements, not just blue links
Chrome signals: How Browser Data Complements Search Data
The signals that measure how often a site is accessed directly in Chrome — independent of Google Search
clutterScore, scamness, unauthoritativeScore: Three Quality Demotions
The three signals that penalize layout overload, fraud proximity, and untrustworthiness — and why they combine into a single Trust signal
RankBrain and DeepRank: How AI Changed Google's Understanding of Queries
From keyword matching to semantic understanding — the AI systems that interpret what users mean, not what they type
Crawl-Budget: How Google Decides How Often to Visit Your Site
The officially documented system that determines crawl frequency — and why it matters for large sites with thousands of URLs
Tangram: The Assembly Layer That Builds Search Results
Tangram evaluates nothing itself — it takes ratings from NavBoost and Glue and decides what appears on the results page, where, and in what order
SegIndexer: How Google Tiers Its Index
Not all pages are indexed equally — the SegIndexer decides which tier (level) of the index a page lands in, from lightning-fast to slow storage