E-E-A-T: experience, expertise, authoritativeness, and trust

E-E-A-T isn't a single ranking factor with a clean numeric score the way page speed roughly is — it's a framework Google's own Search Quality Rater Guidelines use to describe what makes content trustworthy, and it shapes how the broader algorithm is trained and evaluated. Understanding each piece concretely is more useful than treating it as a vague buzzword.

Experience: has this actually been done?

The newest of the four, added specifically to distinguish first-hand, lived experience from secondhand research. A product review written by someone who actually used the product reads, and evaluates, differently from one assembled entirely from other reviews and spec sheets — often visible in concrete, specific detail ("the battery drains noticeably faster in cold weather") that a purely researched piece wouldn't include, since it isn't the kind of detail you'd know without direct use.

Expertise: does the creator actually know this subject?

For a technical tutorial, expertise shows up directly in the accuracy and depth of the content itself — a Python tutorial covering requests' default timeout behavior, correctly, with a working code example, demonstrates real expertise concretely, in a way a generic author bio claiming "10 years of experience" never does on its own. Content is generally a stronger expertise signal than credentials asserted separately from it.

Authoritativeness: is this source recognized as a reference?

This is closely tied to part 16 and 17's backlink discussion — a site or author that other credible sources reference as an authority on a topic is, by that same external validation, demonstrating authoritativeness. It compounds over time and isn't something a single page can manufacture on its own; it's closer to a property of the site and author's overall reputation than of any one piece of content.

Trust: the piece the other three feed into

Google has described trust as the most important member of the group, and the other three largely exist in service of it — content can be accurate (expertise), from real experience, and cited elsewhere (authoritativeness), and still fail on trust if the site itself is poorly secured, has misleading claims, or hides who's actually responsible for the content.

Concrete ways to demonstrate it directly on a page

<!-- Real author attribution, not a generic "admin" or "staff" byline -->
<span class="author">Written by Jane Chen, backend engineer</span>
<time datetime="2026-08-13">Updated August 13, 2026</time>

A visible, real author byline; a genuine publish and last-updated date (not silently backdated); clear contact information; citations or links to primary sources where a claim depends on one — all of these are concrete, checkable signals rather than an abstract quality to strive for vaguely. Organization JSON-LD (covered in part 11) reinforces the same signal in a machine-readable form, alongside the visible on-page version.

Why this matters most for YMYL content

"Your Money or Your Life" — content touching health, finance, safety, or legal matters — is held to a visibly higher E-E-A-T bar than, say, a recipe blog or a hobby site, since the real-world cost of inaccurate content is far higher. A technical programming tutorial isn't classic YMYL, but the underlying principle still applies proportionally: code that's wrong in a way that introduces a security vulnerability (an unvalidated SQL query, a broken auth check) is a real-world-consequence category of inaccuracy worth taking exactly as seriously.

Next: AI SEO — how everything covered so far extends (and in some ways changes) when the audience reading a page is increasingly an AI system generating an answer, not only a human clicking a blue link.