What's Included

What does E-E-A-T
SEO cover?

🔎

E-E-A-T Audit & Gap Analysis

A thorough assessment of your site's current trust signals across all four pillars: experience, expertise, authoritativeness, and trustworthiness. I evaluate author attribution, credentials visibility, content accuracy, editorial processes, site reputation signals, and how your E-E-A-T profile compares to competitors ranking for your target keywords. You get a prioritised action plan showing which gaps are costing you the most visibility.

  • Author attribution and credentials review
  • Content quality and accuracy assessment
  • Trust signal inventory (reviews, citations, mentions)
  • Competitor E-E-A-T benchmarking
  • Prioritised remediation roadmap

Author Entity Building

Establishing your content creators as recognised entities that Google can verify. This goes beyond adding a bio paragraph; it involves building dedicated author pages, implementing Person schema with verifiable credentials, connecting author identities across authoritative platforms, and creating the kind of consistent digital footprint that quality raters look for when assessing expertise.

  • Dedicated author page creation
  • Person schema with sameAs links
  • Cross-platform entity consistency
  • Knowledge Panel optimisation
  • Author-to-content relationship mapping

Schema for Credentials & Trust

Implementing the structured data that makes your E-E-A-T signals machine-readable. Organization schema linking to official registrations, Person schema connecting authors to qualifications and professional memberships, Review and AggregateRating markup for social proof, and the @id relationships that tie your entire entity graph together.

  • Organization and LocalBusiness schema
  • Person schema with credentials
  • Review and AggregateRating markup
  • Professional affiliation and membership markup
  • Entity @id graph architecture

Content Quality Frameworks

Building editorial processes that produce content meeting Google's quality expectations. This includes content briefs that require first-hand experience, editorial review workflows with qualified reviewers, fact-checking processes, proper citation practices, and content update schedules that keep published material accurate over time.

  • Experience-driven content brief templates
  • Editorial review and fact-checking workflows
  • Source citation and reference standards
  • Content freshness and update scheduling
  • Reviewer attribution and credentials display
📊

Trust & Reputation Signals

Strengthening the off-site and on-site signals that build trustworthiness, the most important pillar in the E-E-A-T framework according to Google. Transparent contact information, clear editorial policies, consistent NAP data, privacy and terms pages, secure site architecture, and strategies for earning the third-party mentions and citations that demonstrate genuine authority.

  • Trust page audit (About, Contact, Editorial Policy)
  • Third-party citation and mention strategy
  • NAP consistency across directories
  • Security and transparency signals
  • Reputation monitoring and management
Why Work With Me

Why hire an E-E-A-T
SEO specialist?

Implementation, Not Theory

Most E-E-A-T advice stops at vague recommendations like "demonstrate expertise" and "build trust." That is not useful when you need to know exactly which schema types to deploy, how to structure author pages for entity recognition, or what editorial processes satisfy quality rater guidelines. I deliver specific, implementable changes with measurable impact on your site's trust profile.

YMYL Sector Experience

I have built E-E-A-T strategies for clients in financial services and healthcare, sectors where Google applies its strictest quality evaluation. The consolidation loans project required every author attribution, every compliance signal, and every trust indicator to withstand YMYL scrutiny. My guide to E-E-A-T for financial services explains the specific signals that matter in this vertical. That experience means I understand what actually moves the needle when generic advice falls short.

E-E-A-T for AI Search Too

E-E-A-T signals increasingly determine whether AI search engines cite your content. LLMs like ChatGPT and Perplexity preferentially reference sources with strong entity authority, verifiable credentials, and consistent trust signals. The E-E-A-T infrastructure I build serves both Google rankings and AI search visibility, so you are investing in signals that work across every discovery channel.

How It Works

How does an E-E-A-T
engagement work?

01

E-E-A-T Audit

Assess your current trust signals, author attribution, content quality, schema implementation, and competitive E-E-A-T positioning. Identify every gap between your site and what Google's quality raters expect for your target keywords and sector.

02

Strategy & Prioritisation

Build a prioritised E-E-A-T roadmap based on where the biggest ranking gaps sit. Author entity building, schema deployment, content quality improvements, and trust signal development, all sequenced by commercial impact and implementation complexity.

03

Implementation

Deploy author pages and Person schema, implement Organization and credential markup, establish editorial review workflows, build trust pages, and develop the off-site entity signals that reinforce your authority. Each change targets a specific E-E-A-T gap identified in the audit.

04

Monitor & Strengthen

Track ranking improvements for target keywords, monitor schema validation, measure entity recognition progress, and continuously strengthen trust signals. E-E-A-T is not a one-off project; it compounds over time as your entity authority and content quality build momentum.

Common Questions

E-E-A-T SEO
questions answered.

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It is the framework Google's quality raters use to evaluate whether content deserves to rank. Google added the second E for Experience in December 2022, recognising that first-hand knowledge carries weight beyond formal qualifications. Trust sits at the centre of the framework: without it, expertise and authority count for very little. For YMYL topics like finance, healthcare, and legal advice, E-E-A-T signals directly determine whether your content can compete.

Improving E-E-A-T requires changes across content, technical infrastructure, and off-site presence. On the content side, that means attributed authorship with verifiable credentials, editorial review processes, and content demonstrating genuine first-hand experience. Technically, it involves implementing Person, Organization, and Review schema to make credentials machine-readable, building author pages that connect individuals to their published work, and establishing entity relationships through structured data. Off-site, it means building author entities Google can verify through consistent presence across authoritative platforms and relevant publications.

E-E-A-T is not a single ranking signal you can measure in a tool. Google has stated there is no E-E-A-T score. However, Google uses many signals that align with E-E-A-T principles to assess content quality, and quality raters use the framework to evaluate whether algorithms are surfacing the right results. In practice, sites that systematically build E-E-A-T signals consistently outperform those that ignore them, particularly in competitive and YMYL verticals. The distinction between a direct ranking factor and a framework influencing dozens of ranking signals is mostly academic.

The cost depends on scope. A standalone E-E-A-T audit with a prioritised action plan is a fixed-fee project. Ongoing implementation, covering schema deployment, author entity building, content quality improvements, and trust signal development, is typically handled through a monthly retainer. I price based on complexity and am always transparent about costs before work begins. Most clients find E-E-A-T work integrates naturally with a broader SEO engagement rather than sitting as an isolated project.

Yes, and its importance is growing. AI search engines select sources based on perceived authority, content clarity, and entity signals. A site with strong author entities, verifiable credentials in structured data, and consistent authority signals is more likely to be cited by LLMs than a site with anonymous, unattributed content. The same E-E-A-T infrastructure that helps you rank in Google also makes your content more citable in AI-generated responses, so the investment serves both channels simultaneously.

Ready to Start?

Make your expertise
visible to Google.

Book a free video audit and I'll show you where your E-E-A-T signals are falling short, which gaps your competitors have already filled, and what to fix first for the biggest ranking impact.