In 2022, Google added a fourth letter to its EAT framework — and the addition was significant. E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is the framework Google's Quality Raters use to evaluate whether content deserves to rank. It's also increasingly the framework AI engines use to decide which sources to cite.
Understanding E-E-A-T is not optional for businesses that want to be visible in either traditional or AI-powered search. Here's what each element means in practice.
Experience
The first E was added in 2022 to reflect something Google had noticed: first-hand experience produces better content than research alone. A mechanic writing about car maintenance produces more genuinely useful content than a content writer researching the topic. A restaurant owner describing how they built their business has insights a marketing consultant writing a generic guide doesn't.
For your website, Experience means demonstrating that your content comes from direct, real-world knowledge. Case studies, process descriptions, specific outcomes, and content that references real situations and decisions are all Experience signals. Generic, researched content that could have been written by anyone is not.
Expertise
Expertise is about demonstrated knowledge in a specific domain. It's closely related to Experience but focuses on the depth and accuracy of the knowledge rather than just first-hand exposure.
Expertise signals include credentials and qualifications, industry-specific terminology used accurately, content that goes beyond surface-level to address edge cases and nuances, and content that experts in the field would recognise as accurate and useful. Named authors with verifiable backgrounds are the most direct expertise signal available to most businesses.
Authoritativeness
Authoritativeness is about your standing within your field — whether others in your industry recognise and reference your expertise. It's closely tied to off-page signals: who links to you, who mentions you, where your content is cited.
Building authoritativeness takes time. It comes from earning references from credible industry sources, being cited by journalists and analysts, building relationships with other authoritative sites in your space, and consistently producing content that others in your field point to as a resource.
Trustworthiness
Trustworthiness is the foundational E-E-A-T signal — Google notes that a page can have high Experience, Expertise, and Authoritativeness but still fail if it isn't trustworthy. Trustworthiness covers accuracy, transparency, and safety.
Trust signals include a clear, accurate About page, named team members with real backgrounds, a published contact email, accurate and up-to-date information, citations for factual claims, a privacy policy, and no deceptive or manipulative content. For e-commerce sites, trust signals extend to secure checkout, clear return policies, and genuine customer reviews.
Why E-E-A-T matters for AI search
Google's E-E-A-T framework was designed for human Quality Raters, but AI language models have essentially internalised the same logic. LLMs are more likely to cite sources that demonstrate real expertise, have verifiable author credentials, are referenced by other authoritative sources, and contain content that shows first-hand experience.
Improving your E-E-A-T signals benefits both traditional SEO and GEO simultaneously — it's one of the highest-leverage improvements a business website can make.
How to improve your E-E-A-T
- Add named author bios with real credentials to key pages
- Publish case studies with specific, measurable outcomes
- Reference your team's experience and background on your About page
- Cite external sources for factual claims
- Build relationships with industry publications and earn genuine mentions
- Keep your content current and accurate
- Add Organization and Person schema to formalise your entity signals
E-E-A-T improvement isn't a quick fix — it's a long-term investment in authority. But businesses that build genuine E-E-A-T signals create an increasingly durable competitive advantage that generic competitors can't easily replicate.