EEAT Mechanics

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Experience — the first E in E-E-A-T: first-hand knowledge

Systems that evaluate whether content reflects genuine, lived experience

The question

Has someone here actually done the thing, or only read about it?

What Google goes by

The 'E' in E-E-A-T was added in December 2022. It asks: does the content creator have first-hand experience with the topic? For Google, this is the hardest dimension to measure algorithmically — it requires distinguishing content that demonstrates real experience from content that merely discusses a topic.

What this means for your page

Straight from the system pages: what each system rewards or punishes in practice.

Own measurement data, expert assessments from in-house sources, direct observations — all of this increases the OriginalContentScore. Writing 'our station is currently measuring 87 km/h wind gusts' creates more original value than copying the same number from another service. Flag your own data visibly.

OriginalContentScore

The QRG are publicly available and should be required reading for editorial and product teams. What a rater would judge as 'high quality' per the QRG is the goal — not what tools measure as 'optimized'. The QRG distinguish strictly between 'Page Quality' (the quality of the page itself) and 'Needs Met' (does the page match the search query).

IS-Calibration (Rater/QRG)

What you can do

Only one of Google’s eight Helpful Content practices addresses Experience. That is not a hole in our mapping — it is the finding: this is the dimension the public guidance says least about.

Original information, own research or analysis; substantial, complete coverage of the topic that goes beyond the obvious — not mere summaries or rewrites.

Helpful Content: Content & Quality · Original content systems · Helpful content system (part of Core Ranking) · Panda (integrated into Core Ranking)

Which practice belongs to which dimension is our reading [C]. Both ends — the practice and the named systems — are official [O]. All eight, mapped to the systems

The systems

Primary (2)

Systems where Experience is the primary E-E-A-T dimension.

OriginalContentScore

This score measures how much first-hand material a piece of content contains — information found only there, that an AI could not reconstruct from other sources. The higher the score, the more original the content. It is the closest machine equivalent to the E-E-A-T dimension 'Experience' (lived experience and direct observation).

E: primary
Deep Dive: OriginalContentScore: How Google Measures Content Originality
IS-Calibration (Rater/QRG)

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.

E: primary
Deep Dive: IS-Calibration: The Human Rater System That Trains Google's Quality Models

Flanking (4)

Systems that feed Experience from the side.

NavBoost / CRAPSGlue / Instant GlueQ* (Balance)contentEffort

Deep Dives (8)

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.

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

OriginalContentScore: How Google Measures Content Originality

The leak field that measures how much original material a document contains — information that is only found there and that an AI couldn't reconstruct from other sources

contentEffort: How Google Estimates Editorial Effort

The AI model that estimates how much editorial work went into a page — and why 'effort' is becoming a ranking signal

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

Site Reputation Abuse: What Google Suspended in Europe — and What It Did Not

What Google suspended in the EEA is the manual action — the replacement removes exactly what parasite SEO pays for

What Good Content Is: contentEffort and Google's Soft Metrics

One leaked field, one rater definition, twelve official questions, and a checklist that marks which parts are evidence and which are our reading.