E-E-A-T Checklist for 2026: 14 Signals That Actually Move Rankings

E-E-A-T is a build standard, not a checklist item

Most E-E-A-T guides treat it as a box to tick: add an author bio, get some links, you’re done. That’s not how it works in production.

E-E-A-T is a build standard. Every page you publish either builds or erodes it. The question isn’t “do we have E-E-A-T?” — it’s “does this page demonstrate the experience and expertise of a real person who knows this subject?”

Here are the 14 signals that matter in 2026, drawn from auditing and building sites in local service, affiliate, e-commerce, and B2B niches.

Experience signals (the new E)

1. First-person language. Phrases like “in my experience,” “I’ve tested this,” “when I built this for [client]” — experience language that can’t be replicated by AI. This is the primary differentiator between editorial content and generated content.

2. Original photography and media. Site-specific images — not stock photos. Screenshots of real tools and dashboards. Photos of the actual work being done. These are strong experience signals that quality raters can verify with a glance.

3. Case studies with real numbers. Not “$X results are possible” — but “we generated $21K in 90 days using this methodology, for [type of client], starting from [starting point].” The specificity is the signal. Vague before/after claims read as marketing, not experience.

4. Insider Tip callouts. A formatted aside on every content page that shares a non-obvious insight the author discovered through direct experience. Flagged clearly as an editorial element, not part of the main body copy.

Expertise signals

5. Named author with a verifiable profile. Not “the editorial team.” A real person, with a linked author page, a professional bio that mentions credentials, and ideally external verification (LinkedIn, YouTube channel, published books). The author name must be consistent across every platform.

6. Author schema. Person schema on every author page, with sameAs pointing to social profiles and external sites. Article schema on every post with author property linking to the Person node. This creates a machine-readable expertise graph that Google can parse without relying on a human rater.

7. Credentials stated inline. Not just in the bio — in the body copy, where the claim is made. “As someone who’s built 25+ authority sites over 25 years, I’ve found that…” The credential is anchored to the claim, which is where it carries weight.

8. Primary source citations. Links to original research, government data, peer-reviewed studies — not just to other blogs. Every factual claim should be traceable to a primary source. The citation itself is an expertise signal — it shows the author knows what the authoritative sources are.

Authoritativeness signals

9. Named entity on the homepage. A clear statement of who the site is about — not a brand name, but a person or organisation with a verifiable real-world presence. Google needs to be able to match the site to an entity in its knowledge graph.

10. External mentions and links. Other sites citing the author by name. Guest posts, podcast appearances, conference presentations. These build entity authority — the signal that tells Google this person exists beyond this one website. A single high-quality external mention outweighs dozens of internal linking moves.

11. Topic cluster depth. A three-tier content architecture (pillar → cluster → entity) that demonstrates the site covers a topic fully, not just superficially. Topical depth is the structural authoritativeness signal — it shows domain mastery rather than keyword chasing.

Trustworthiness signals

12. Full contact information. Physical address or service area, phone number, email — not just a contact form. For YMYL topics (health, finance, legal), this is non-negotiable. A site that’s hard to contact reads as untrustworthy to both human raters and the signals that feed into Google’s quality scores.

13. Transparent business model. Clear disclosure of affiliate relationships, sponsored content, and how the site makes money. Hidden monetisation is a trust signal in the wrong direction. The disclosure doesn’t have to be prominent — it has to exist.

14. Schema accuracy. FAQPage schema on every cluster page with questions that match actual user search queries. Article schema with accurate datePublished and dateModified. BreadcrumbList on every page. Schema that misrepresents the content — claiming FAQPage on a page with no FAQs — is worse than no schema at all.

How to prioritise the 14 signals

Not all 14 signals move the needle equally on every site. Here’s how I triage when auditing:

Start with Experience (signals 1–4). These are the signals that changed most after the 2022 E-E-A-T update. If the site has no first-person language, no original media, and no case studies, it looks AI-generated to quality raters — regardless of how good the schema is. Fix these first.

Then fix Expertise schema (signals 5–6). Author schema and Person schema are structural — they affect every page on the site simultaneously. A one-time fix with a large multiplier effect.

Then address Authoritativeness systematically (signals 9–11). Topic cluster depth takes time to build. Start by identifying gaps — topics you mention but don’t cover — and building the missing cluster content.

Trust signals (12–14) are table stakes. They should already be present. If they’re not, fix them immediately — they’re also the fastest to implement.

Common E-E-A-T mistakes I see in audits

Author bio at the bottom, byline absent above H1. The bio is useful. The byline above the H1 is the signal. Google’s quality raters look for a named author before reading the article. If the name doesn’t appear until the end, the experience signal is weakened.

Schema that doesn’t match content. I’ve audited sites with FAQPage schema on pages with no FAQs, LocalBusiness schema on pages that don’t represent a physical location, and Article schema with datePublished that contradicts the visible publish date. Inconsistent schema is a trust liability.

Treating E-E-A-T as a one-time project. E-E-A-T degrades over time. Case studies become outdated. Statistics become stale. Schema becomes inaccurate as the content changes. The sites that maintain strong E-E-A-T treat it as a recurring maintenance task, not a launch checklist.

The audit process

When I audit a site, I run through these 14 signals in order. Experience signals first — because they’re the hardest to fake and the easiest to verify. If a site has thin experience signals, no amount of schema will fix it.

The production sites running on this system have all 14. Not because it’s a compliance exercise — because each one directly corresponds to a type of user trust and a type of Google quality signal.

Frequently asked questions

What does E-E-A-T stand for?

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It's Google's quality rater framework — the signals quality raters look for when evaluating page and site quality.

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

E-E-A-T is not a direct algorithmic ranking factor — Google can't directly measure trust. But the signals that demonstrate E-E-A-T (author schema, bylines, external links to authors, original data) are measurable and correlate with ranking performance.

How long does improving E-E-A-T take to affect rankings?

Experience and expertise signals — adding bylines, author schema, first-person language — show up in crawl cycles within a few weeks. Entity authority signals (external mentions, Google Knowledge Panel) take 3–6 months. Trust signals like contact information and schema accuracy are immediate at the crawl level.

Does E-E-A-T apply to every page or just YMYL content?

E-E-A-T applies to all pages, but the threshold is higher for YMYL content — health, finance, legal, and safety topics. For those pages, every one of the 14 signals is non-negotiable. For informational blog content, the experience and expertise signals are the highest-leverage.