---
title: "What Is E-E-A-T? Experience, Expertise, Authority, Trust"
description: "E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness — the quality signals Google and AI engines use to judge whether content deserves to rank or be cited."
canonical: https://aiovsseo.com/glossary/eeat.html
date: 2026-06-07
---
# What is E-E-A-T?

Definition

E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness — the quality framework Google uses to assess content, and a strong proxy for what makes AI engines trust and cite a source.

**E-E-A-T** — Experience, Expertise, Authoritativeness, Trustworthiness — is the framework from Google's Search Quality Rater Guidelines for judging content quality. It is not a single score but a lens, and it maps closely to what makes AI engines treat a source as credible.

## The four signals

- **Experience** — first-hand, lived knowledge of the topic
- **Expertise** — demonstrable skill or qualification
- **Authoritativeness** — recognition as a go-to source by others
- **Trustworthiness** — accuracy, transparency, safety (the most important)

## How to demonstrate it

Named authors with real bios, cited sources and dates, transparent methodology, consistent entity signals. These same markers raise the odds of an [LLM citation](/glossary/llm-citation.html).

## Frequently asked questions

**Is E-E-A-T a ranking factor?**

It is not a single direct ranking signal but a framework Google’s systems and raters use to assess quality. Strong E-E-A-T correlates with both better rankings and a higher chance of being cited by AI.

**What does the extra E in E-E-A-T mean?**

Google added Experience in late 2022 to the original E-A-T, emphasizing first-hand, lived knowledge of a topic alongside formal expertise.