EEAT Complete Guide: Google’s Top 4 Content Quality Metrics (Authority × Expertise × Trustworthiness × Experience)

Your product inspection reports may never get clicked, but the 3-second hover of a browser cursor on your pricing page, the supply chain photos in your website footer, or even the response speed of your customer service chat—these are all quietly building what algorithms recognize as trust assets.

This article will cut through the surface of Google SEO and dive straight into the core logic behind Google’s credibility scoring.

Experience

For the “Experience” aspect of Google EEAT, I’ll break it down from two angles: algorithm scoring logic and practical implementation, providing reusable criteria and optimization methods.

Google’s scoring logic for “Experience” (core principle) = Scenario authenticity × Depth of practice × Verifiability of results

Here’s the weight distribution:

Expertise

The two E’s—Experience and Expertise—may seem similar but are fundamentally different. Below, I’ll dissect them using algorithm mechanics and real cases.

Expertise vs. Experience

Example Contrast:

• Expertise: Article detailing “ASTM A276 316L stainless steel intergranular corrosion tests (with 10 datasets on weight loss at varying chloride concentrations)”
• Experience: Author bio: “Zhang | 15 yrs stainless steel exports, served 47 EU/US medical device makers”

Google’s 4 Expertise Algorithm Models (Unofficial Speculation)

Reverse-engineered from high-EEAT content, likely mechanisms include:

Knowledge Graph Matching​

Checks term density against Google’s databases (academic papers, patents, standards).

​Example: Mentioning “ISO 14644-1 cleanroom standards” triggers checks for related terms like “particle counting” or “sampling calculations.”

Semantic Depth Analysis​

BERT model evaluates structure:

Does content follow “theory → methodology → data → limitations”?

Causal word density (e.g., “thus,” “due to,” “tests show”).

Cross-Platform Verification​

Pulls authoritative data to validate claims:

Government databases (e.g., FDA approval IDs)

Academic platforms (e.g., ResearchGate DOIs)

Corporate records (e.g., LinkedIn skill tags).

​Industry Benchmarking​

Sets quality baselines per sector:

Healthcare: 2+ recent clinical citations per 1k words

Manufacturing: 3+ technical drawings/parameter tables.

Expertise-Building Tactics (Without Authority Backing)

​1.Technical Data Layering​

Convert jargon into verifiable chains:

Before: "Our ceramic bearings withstand high temps"  
After:  
ZrO2-reinforced bearings (SEM micrograph Fig1)  
→ 800°C continuous operation (ASTM D3702)  
→ Avg. friction coefficient: 0.12 (vs. SKF 6205 steel’s 0.38)  
→ Client data: 0.023mm radial play after 18mo (initial 0.025mm)  

2. ​Process Transparency​

Reveal critical control points:

Material check → Processing → QC → Post-sale  
Example:  
• Materials: South African chrome ore import #CP2024XXXX  
• Processing: Hitachi Metal HIP furnace (temp curve Fig2)  
• QC: 3% XRD phase analysis per batch (report QC-0628)  
• Post-sale: Day 30/180 follow-up records (WeChat screenshots)  

3. ​Industry Code Speak​

Use “insider-only” phrasing in niches:

Low-trust: "Our chemical pumps seal well"  
High-trust:  
• API 682 Category 3 sealing  
• Plan 53B flush system  
• Bellows material: EN 1.4460 duplex steel  
(Peers instantly gauge proficiency)  

For niche EEAT success:

​Experience proves “you’ve done it” → Specific cases + reproducible steps​
​Expertise proves “you understand why” → Jargon + data trails​
Combine both via “problem-solving stories” for top Google ratings.

Authoritativeness

Here, I pose a question: What exactly is “authoritativeness” in Google’s eyes?

According to Google’s official Search Quality Evaluator Guidelines, authoritativeness = creator’s professional background + credible proof of content + industry consensus recognition. All three are indispensable.

After hearing this, do you still feel confused?

Then keep reading.

Next, I’ll use 6 industry-specific authoritative paragraph examples to show you what authority looks like.

Case 1️⃣ Healthcare Industry

Example Paragraph:

“According to a 2023 clinical study by Johns Hopkins University School of Medicine, metformin shows significant long-term cardiovascular protective effects for type 2 diabetes patients (sample size n=4,732). The lead author, Dr. Emily Carter (Professor of Endocrinology, Academic Committee Member of the American Diabetes Association), stated: ‘Compared to sulfonylureas, metformin reduces myocardial infarction risk by 19% (p<0.01).’ This conclusion has been cited in WHO’s Global Diabetes Prevention and Treatment Guidelines.”

Proof of Authority:

• Author identity: Medical Doctor + authoritative institution title + industry association role
• Content support: Large-scale clinical data + statistically significant results + WHO endorsement

Case 2️⃣ Financial Investment Industry

Example Paragraph:

“The Federal Reserve’s 2024 stress test revealed that JPMorgan Chase’s (JPMorgan) Tier 1 capital adequacy ratio reached 13.2%, exceeding Basel III minimum requirements by 47%. CFA charterholder and former Goldman Sachs Risk Director Michael Rodriguez analyzed: ‘Even in a liquidity crisis comparable to 2008, JPMorgan still has sufficient buffer space.’ This view aligns with S&P Global Ratings’ report conclusions.”

Proof of Authority:

• Author identity: CFA certification + executive experience at a leading firm
• Content support: Federal Reserve official data + third-party rating agency validation

Case 3️⃣ Technology Industry

Example Paragraph:

“In OpenAI GPT-4’s multimodal reasoning capability test, Stanford HAI Institute used the MMLU benchmark (covering 57 disciplines). Project lead Dr. Li Zhang (Tenured Professor at Stanford Computer Science Department, NeurIPS 2023 Best Paper Reviewer) announced: ‘GPT-4 achieved 86.4% accuracy in specialized fields like advanced mathematics and clinical medicine, a 31-percentage-point improvement over GPT-3.5.’ These results have been verified through IEEE Peer Review.”

Proof of Authority:

• Author identity: Top-tier university faculty + academic role at premier conferences
• Content support: Standardized testing framework + academic journal review

Case 4️⃣ Legal Industry

Example Paragraph:

“In the 2024 case People v. OpenAI, the California Supreme Court ruled: ‘Copyright ownership of AI-generated content must be determined based on the human creator’s contribution’ (Case No. S271234). The lead attorney, Linda Park (Harvard Law PhD, Chair of the California Bar Association AI Ethics Committee), emphasized: ‘This precedent is a landmark ruling establishing AI copyright boundaries in the U.S.’ The full judgment has been archived in the LexisNexis database.”

Proof of Authority:

• Author identity: Law PhD + leadership role in industry association
• Content support: Judicial precedent + legal professional database source

Case 5️⃣ Education Industry

Example Paragraph:

“A 2023 study by Cambridge Assessment English confirmed that immersive VR teaching increased IELTS writing scores by an average of 0.8 points (control group p=0.003). Project lead Dr. Sarah Wilkinson (Cambridge PhD, Board Member of the European Language Testing Association) noted: ‘The VR group showed the most significant advantage in the “logical coherence” scoring category.’ The experimental data has been published in the Language Learning & Technology journal (SSCI Q1).”

Proof of Authority:

• Author identity: PhD + international organization board membership
• Content support: Authoritative academic journal + rigorous experimental control

Case 6️⃣ Consumer Product Review Industry

Example Paragraph:

“According to CNET Lab test data, the Dyson V12 Detect Slim vacuum achieved a 99.97% dust mite removal rate (test standard ASTM F1977). Chief Reviewer James Wilson (American Society for Testing and Materials Certified Engineer) pointed out: ‘Its laser detection system identifies 43% more microdust than the industry average.’ The test report has been uploaded to the FCC website (ID: 2AOKB-V12DS).”

Proof of Authority:

• Author identity: Industry association certification + engineering background
• Content support: Standardized testing process + government regulatory platform filing

Okay, after reading these 6 examples, do you still not know how to proceed?

Because you can’t write like this. Why? Because you lack a methodology.

Below, I’ll provide methods for small and medium-sized businesses to write authoritative articles.

Identity Packaging

[Employee Name] + [Years of Hands-on Product Experience] + [Number of Clients Served] + [Types of Problems Solved]
👉 Example byline:
“Author: Li Wei | XYZ Machinery Parts Export Manager, 7 years specializing in German industrial valve OEM production, solved hydraulic seal failures for 43 European manufacturers”

Principle: Google prioritizes recognizing “practical experts who consistently solve specific problems” over academic titles.

Data Knowledge Quick Search

Industry Databases:
Require employees to collect competitor technical documents from Alibaba Supplier Profiles (filter pages of competitors established for 10+ years, focusing on the “Product Details” section).

Terminology Converter:
Use SEMrush’s Keyword Magic Tool to input the product’s English name and extract “expert-level long-tail keywords,” e.g.:
“316L stainless steel threaded flange ASTM A182 compliance” is 400% more authoritative than “steel flange.”

Niche Industry Authority Evidence Chain

Process Flow Diagrams

[Product Image] + [Core Parameter Comparison] + [Production Site Photos]
👉 Example:
“XYZ Ceramic Bearing Production Process: From isostatic pressing (right image) to 1600°C atmosphere sintering (attached workshop temperature control records), hardness reaches HRC62±1, exceeding Japan’s JIS B1581 standard by 12%.”

Note: Use factory surveillance screenshots with date watermarks to prove authenticity.

Customer Application Logs

[Client Industry] + [Pain Point] + [Solution] + [Quantifiable Results]
👉 Example:
“Swedish Pulp Mill Case: Solved the issue of high-temperature steam valve graphite seal rings wearing out too quickly (original replacement cycle <3 months). After installing our enhanced seal components, 2023 maintenance records show an average lifespan of 11 months.”

Action: Have the sales department provide key data pages from customer repair reports (with sensitive information redacted).

Test Report Visualization

[Testing Agency Abbreviation] + [Standard Number] + [Key Metric] + [Comparison Value]
👉 Example:
“TÜV Rheinland Test Report (No. TUV-2024-07651): XYZ ceramic fiber gasket showed 22% higher anti-creep performance than conventional products in ASTM F3049 cyclic pressure tests.”

Tip: Even if you only have CNAS testing, still include international standard codes (e.g., ISO, ASTM).

Supply Chain Traceability

[Raw Material Origin] + [Processing Technique] + [Quality Control Checkpoints]
👉 Example:
“Direct sourcing of South African chrome ore → Smelting by Japan’s Kobe Steel (attached KOBELCO batch number) → Precision grinding by Switzerland’s STORMS, with each batch undergoing X-ray impurity screening (see quality report image, Item 5).”

Tool: Use Canva to combine logistics documents and raw material test reports into an infographic.

Important: Do not falsify data. Many AI-generated articles provide fake data, which may trigger Google’s penalty mechanisms in the future.

Avoid at All Costs:

• Fabricating test report numbers (use “internal company standard Q/XYZ 001-2024” instead)
• Using unsupported superlatives like “world-leading” or “best”

Must Disclose:

• Written authorization for client case studies (email confirmation suffices)
• Data sources (e.g., “Data sourced from our 2023 client feedback survey”)

Compliance Tips:

• Add to website footer: “This site’s content is based on XYZ Company’s real production experience. Some professional descriptions may differ from unofficial practices.”

3 Practical Tips to Quickly Boost Authority (With Tools)

Author Credentials Visualization:

• Add an author bio box at the top of articles, e.g.:

“Author: John Doe | PhD in Biology, Stanford University; Principal Investigator, NIH Cancer Institute; 10 SCI papers cited 1,800+ times.”

• Tool: Use Schema.org markup for author qualifications.

Citations from Authoritative Sources:

• Prioritize citing research from .gov/.edu/.org domains, e.g.:

“World Bank’s 2024 Global Economic Outlook shows… (Source: https://thedocs.worldbank.org/en/doc/661f109500bf58fa36a4a46eeace6786-0050012024/original/GEP-Jan-2024.pdf)”

Add to Sidebar:

1. Partner logos (e.g., “Content Review Support: FDA/ISO”)
2. Professional certification badges (e.g., “Author completed Google News Initiative training”)

Trustworthiness

Next, I’ll break down Google’s hidden metrics for evaluating trustworthiness and low-cost implementation strategies tailored for small business websites selling niche products.

Google’s 6 Core Trustworthiness Dimensions (No Authority Endorsement Needed)

【Steps】  
① Add to "Production Process" page:  
   • Raw material purchase invoice screenshots (hide amounts, show supplier names & codes)  
   • Workshop equipment list (model/year, e.g.: Mazak CNC, operational since 2018)  
② Launch "Quality Tracking System":  
   Embed batch number lookup at product page bottom (displays: material batch → production team → test report thumbnail).  

【Template】  
① Create "Client Growth Timeline":  
   2021.07: First order (50 sets from Vietnam) → 2023.12: Cumulative orders hit 1,200 sets  
   Add email screenshots (with client domain & procurement manager signature, post-approval).  
② Develop "Issue Tracker":  
   Publicly list top 5 client complaints + solutions (e.g.: seal installation error → release animated guide).  

【Plan】  
① Add "Product Limitations" to FAQ:  
   • Operating temperature: -20°C~180°C (custom needed beyond)  
   • Not for strong acid (pH <2)  
② Publish "Improvement Log":  
   2024.06: Upgraded rust inhibitor from VCI paper to vapor capsules (damage rate ↓37% per Brazilian feedback).  

Social Relationship Building

【Resource Integration】  
① Partner Badge Exchange:  
   Display: "Local Logistics Partner: XX Supply Chain (Biz License No.)"  
② Industry Forum Participation:  
   Post event photos (with backdrop showing name/date) + non-core presentation slides.  

4 Google Penalty Scenarios for Low-Trust Content (With Fixes)

Empty “About Us” Page

Red Flag: Vague claims like “professional team” or “years of experience.”

Fix:

Add employee skill matrix (e.g.: “Engineer Wang | SolidWorks FEA expert | 17 structural optimizations”).

Post weekly meeting clips (discussing specifics like “solving German client’s thermal deformation issue”).

Fake Reviews

Red Flag: All 5-star reviews lack detail.

Fix:

Encourage scenario-based feedback (e.g.: “Used on XX equipment to solve XX problem”).

Keep middling reviews + show improvements (e.g.: “3-star review noted packaging damage → demo new honeycomb box crush test”).

Unverifiable Claims

Red Flag: Performance specs lack proof.

Fix:

Film simple tests (e.g.: digital caliper measuring part dimensions).

Create “Data Traceability” page linking specs to production records (e.g.: hardness HRC58 ↔ heat treatment furnace graph).

Opaque Business Ties

Red Flag: Undisclosed affiliated companies/agent information

Solution:

Clearly label partnership nature on “Partners” page (e.g.: “XX Company is our exclusive Malaysia agent, Authorization No. XX”)

Use Schema.org SameAs markup linking to LinkedIn profiles

Trustworthiness Self-Check Toolkit

1. Basic Compliance Check

• Google Safe Browsing: Check domain security risks
• SSL Server Test: Verify encryption protocol strength

2. Content Authenticity Optimization

• FactCheck Tools: Validate data against authoritative sources
• TinEye: Reverse image search for duplicate usage

3. User Trust Signal Enhancement

• TrustPulse: Display real-time purchase notifications (e.g., “XX Company just bought seal kits”)
• Hotjar: Record user behavior to optimize trust touchpoints

Final reminder: Trustworthiness ≠ Authoritativeness. Always prioritize “imperfect authenticity” over “perfect fabrication.” Even without institutional endorsements, small businesses can absolutely build Google-approved trust signals.