Guide · Google Quality & Trust · 9 min read

How to Optimize Your Website for Google E-E-A-T Signals

Discover how to build author entity graphs, verify first-hand experience, and structure citation networks to withstand Google search quality algorithm updates.

EL
Eirik Lindqvist Lead Search & Conversion Architect
Published: July 2026 Target: Site Owners & SEO Teams
4
Pillars of E-E-A-T
Person
Author Entity Schema
1st Party
Proof Signal Data
100%
Trust Verification

Key Takeaways Covered in This Guide

  • The 4 pillars of Google E-E-A-T (Experience, Expertise, Authority, Trust)
  • How to demonstrate first-hand "Experience" over AI fluff
  • Wiring JSON-LD Person Author Schema graphs
  • 5-point actionable E-E-A-T audit checklist

1. What is Google E-E-A-T?

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It is the cornerstone framework Google Search Quality Evaluators use to assess whether web content is written by qualified experts with real-world experience.

In the era of automated AI content flooding the web, Google places heavy ranking penalties on anonymous or generic articles. Trust (the 'T' in E-E-A-T) is the most critical factor holding all four components together.

2. How to Demonstrate First-Hand "Experience"

Google added the extra "E" for Experience to reward content written by individuals who have actually used a product, managed a campaign, or closed a transaction:

Signal Type Low E-E-A-T (Risk of Penalty) High E-E-A-T (Skaldhaus Standard)
Author Byline Anonymous / "Admin" / Stock Persona Real Expert Person Schema with LinkedIn link
Proof Artifacts Stock imagery & generic rehashed text First-party screenshots, data & code snippets
Business Data Hidden contact details; generic address Verified NAP, active phone, registered office

Google Evaluator Guideline Quote: "If a page lacks appropriate E-E-A-T for its topic, it should be rated Low Quality, even if the content appears well-written."

  • Original Screenshots & Media: Include original, non-stock photos, video walkthroughs, or code snippets created by your team.
  • Case Study Data: Reference real metric results (+240% MRR, 3x lead growth) with clear baseline timelines.
  • First-Person Insights: Explain what went wrong during early testing and how your strategy adapted.

3. Structuring Verified Author Person Schema

Every published article must link to a real, verifiable author profile using Schema.org Person structured data:

{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Eirik Lindqvist",
  "jobTitle": "Lead Search & Conversion Architect",
  "worksFor": {
    "@type": "Organization",
    "name": "Skaldhaus"
  },
  "sameAs": [
    "https://linkedin.com",
    "https://twitter.com"
  ]
}

4. Domain Trust & Business Transparency

High E-E-A-T requires full business transparency: visible physical addresses, clear terms of service, active customer support channels, and verified client testimonials with real names and company roles.

5. The 5-Point E-E-A-T Optimization Checklist

  1. Author Byline: Every blog post has a visible Author Box linking to an Author bio page.
  2. JSON-LD Person Schema: Person and Organization schema are validated in Google's Rich Results Tool.
  3. Primary Case Data: Articles cite proprietary data, research, or first-hand client outcomes.
  4. Content Last Modified Date: Articles show clear publication and modification timestamps.
  5. Citations & Grounding: Claims are backed by authoritative external references.
EL
Lead Search & Conversion Architect · Skaldhaus

Eirik Lindqvist

Eirik specializes in technical SEO architecture, AEO entity mapping, and high-converting web UI for venture-backed SaaS platforms, real estate enterprises, and local brands.