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Glossary

What is E-E-A-T?

Updated September 2026StrategyIntermediate

Definition

E-E-A-T stands for experience, expertise, authoritativeness and trust, the four qualities Google’s quality raters use to judge whether a page can be relied on. Unlike a ranking factor, E-E-A-T is not a number inside the algorithm: it describes what the ranking systems are built to approximate.

At a glance

  • E-E-A-T comes from Google’s rater guidelines, which train evaluation of search quality rather than scoring pages directly.
  • The first E, experience, was added later and asks whether the writer has actually done the thing.
  • Trust is the one that outranks the others: an inaccurate page fails regardless of who wrote it.
  • The same evidence a rater looks for is the evidence an AI assistant can read off the page.

The four letters, and which one is new

Expertise, authoritativeness and trust have been in the guidelines for years. Experience is the recent addition, and the one most brands score badly on.

Experience asks whether the writer has used the product, visited the place or run the process. A review by someone who owns the thing reads differently from one assembled out of spec sheets, and both humans and models can tell.

Expertise is subject knowledge, shown through accuracy and depth rather than claimed in a bio. Authoritativeness is other people treating you as a reference, which is why source credibility signals sit mostly off your own domain.

Trust sits above the rest. Google’s guidance on creating helpful, people-first content frames all of it as a question about who made the page and why anyone should believe it. A page that is well written and wrong fails on the letter that matters most.

Why an AI answer needs a source it can stand behind

An assistant writing an answer is exposed in a way a results page never was. A list of ten links makes no claim. A written paragraph does, with the assistant’s name on it.

Selection skews toward sources that look accountable: named authors, stated dates, checkable facts, a domain with a history in the subject. Given two passages saying the same thing, the model takes the one with evidence behind it.

This is where thin content that used to rank quietly stops working. It was never trusted, only tolerated at position seven, where it cost the search engine nothing. An assistant quoting it inherits the risk.

Prove experience on a page that currently asserts it

Most sites claim experience in a hero line and never evidence it. Fixing that is editing work.

  1. Replace adjectives with artefacts. A photo you took, a screenshot from your own account, a number from your own testing. One per page is enough.
  2. Name the person and what they have done. Author authority is the readable half of E-E-A-T, and it takes a byline, a role and two lines of credential.
  3. Date everything and mean it. A visible last-reviewed date on pages where facts move, updated when they actually change.
  4. State your limits. Where the product is a poor fit, what you do not support, which competitor is better for which case. Nothing signals trust faster.
  5. Get corroborated off-site. Industry listings, professional bodies, conference programs, a consistent entity footprint across the places that describe your category.

Where each letter shows up on a page

Letter What a reader sees What a machine reads
Experience First-hand detail, original photos, test notes Unique content not repeated elsewhere
Expertise Accurate, specific explanation Depth and consistency across related pages
Authoritativeness Being referenced by others in the field Off-site mentions and links from known sources
Trust Clear ownership, contact, corrections, accuracy Named author, dates, agreement with other sources

Frequently asked questions

  • Is E-E-A-T a ranking factor?

    No, and Google has said so directly. There is no E-E-A-T score being added to a page. It is the language Google uses to describe what good results look like, written for the human raters who evaluate search quality. The signals that approximate it, such as authorship and accuracy, do affect rankings.

  • Does E-E-A-T apply to AI assistants or only to Google Search?

    Both, though only Google uses the term. Assistants select sources they can attribute, and they read the same evidence a rater would: a named author, a date, specific claims, corroboration elsewhere. The frame came from search and transfers almost unchanged.

  • How do I show experience if my writers are not customers?

    Bring in the people who are. Quote your support team on what actually breaks, publish your own testing rather than restating the manual, co-byline with a customer where they agree to it. Experience cannot be written into a bio, and readers spot the difference before any algorithm does.

  • Can a new site build E-E-A-T quickly?

    Not quickly, and it is worth planning around that. Authoritativeness depends on other people referencing you, which takes quarters. What a new site can fix this week is the trust half: real ownership details, accurate claims, named authors, visible dates. That half carries the most weight anyway.