TLDR
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trust, and it remains the backbone of Google’s Search Quality Rater Guidelines heading into 2026. This checklist breaks each pillar into concrete, auditable actions for bylines, sourcing, credentials, reviews, and technical trust signals. It also covers what changes when your content is read by AI Overviews, ChatGPT, Perplexity and Gemini instead of a human searcher. Use the tables below as a working audit sheet before you publish or update any page.
What Is E-E-A-T and Why It Still Matters in 2026
E-E-A-T is the framework Google’s human quality raters use to judge whether a page reflects real Experience, Expertise, Authoritativeness and Trust. It is not a direct ranking factor, but it shapes the signals Google’s automated systems are trained to reward, and it has only grown more important as AI-generated content has flooded search results.
Google’s Search Quality Rater Guidelines, last meaningfully updated in September 2025, are the closest thing to an answer key the company has ever published. The document runs to roughly 182 pages and is used by trained human contractors to score real search results, with Trust sitting as the foundation underneath the other three pillars. If you are building out a full content strategy rather than a single post, this checklist works best alongside a pillar page and topic cluster strategy, since E-E-A-T signals compound when related pages link to and reinforce each other.
Google itself frames the guidelines as a self-assessment tool rather than a rulebook to game. In its own documentation on helpful, people-first content, Google encourages site owners to read the guidelines, self-assess how their content performs against each pillar, and align their pages conceptually with the signals the automated ranking systems are trained on. That framing matters for how you should use the checklist below: not as boxes to tick for an algorithm, but as a real audit of whether a page deserves to rank.
The stakes are higher for certain topics. Pages that touch health, finance, safety or civic life fall under what Google calls Your Money or Your Life content, and they get held to a stricter bar. Raters are instructed to apply very high page quality standards to YMYL topics, since a low quality page in these categories could realistically harm a reader’s health, finances, safety, or well-being. If your team is unsure whether in-house resources can meet that bar, it is worth reading our related post on when to hire an SEO agency before deciding to build this expertise internally versus bringing in outside help.
E-E-A-T has not stayed static since it first appeared. Google originally used E-A-T, covering only Expertise, Authoritativeness, and Trust, and added the second E for Experience in December 2022 as part of a broader update to the rater guidelines. That addition was a direct response to a search landscape full of content written by people who had never actually used the product, visited the place, or lived through the situation they were describing. The framework has kept expanding since then, with the 2025 update adding explicit rules for AI-generated content, three new spam classifications, and a broader definition of what counts as YMYL, now covering civic and election-related topics alongside the usual health and finance categories.
How Google’s Quality Raters Actually Score E-E-A-T
Quality raters do not adjust your rankings by hand. Their scores are used to train and calibrate the machine learning systems that actually rank pages, not to apply manual penalties to individual URLs, which means consistent patterns across many pages matter more than perfecting a single article.
Raters also separate two distinct judgments that content teams often collapse into one. Page Quality asks whether the content itself is well-made, while Needs Met asks whether it actually answers the query someone typed in. A page can be genuinely high quality in general terms and still fail a searcher if it does not match what they were actually looking for, the classic example being an excellent history of coffee ranking for someone who just wants brewing steps. An E-E-A-T checklist that only strengthens author bios and ignores search intent will still underperform.
E-E-A-T Signals by Content Type
Not every page needs the same intensity of E-E-A-T signals. A recipe blog and a mortgage refinancing calculator are both public content, but only one of them is YMYL, and the checklist weight shifts accordingly.
| Content Type | YMYL Risk | Priority Pillars | Minimum Bar |
|---|---|---|---|
| Informational blog post (non-YMYL) | Low | Experience, Trust | Named author, sources cited, clear intent match |
| Product or service page | Low to medium | Trust, Authoritativeness | Transparent pricing, real reviews, secure checkout |
| Health, medical, or wellness content | High | Expertise, Trust | Credentialed reviewer, cited studies, no unqualified claims |
| Financial or legal guidance | High | Expertise, Trust | Licensed reviewer, disclaimers, regulatory accuracy |
| News or civic-affairs content | High | Trust, Authoritativeness | Verified sourcing, corrections policy, transparent ownership |
The Experience Checklist
Experience asks whether the content was created by someone who has actually done, used, or lived through the thing they are writing about. This is the newest of the four pillars, added explicitly in December 2022, and it is the one most B2B and SaaS content teams still skip.
- Byline names a real person, not “Editorial Team” or “Admin”
- Author has demonstrable first-hand contact with the topic (used the product, ran the process, visited the location)
- First-person details are present: specific numbers, screenshots, timelines, or outcomes that a non-practitioner could not invent
- Original images, screenshots, or data replace stock photography wherever possible
- Content states clearly when a claim comes from personal testing versus research or aggregation
- Case studies or examples are pulled from the author’s or company’s actual work, not generic hypotheticals
The Expertise Checklist
Expertise is about depth of knowledge in the subject, whether that comes from formal credentials or extensive informal experience. Google explicitly allows for both, but expects the type of expertise to match the topic’s risk level.
- Author credentials (degrees, certifications, years in the field) are listed on the page or linked from an author bio
- Technical claims are accurate and reflect current best practice, not outdated advice
- Content goes beyond surface-level definitions into specifics: numbers, edge cases, and trade-offs
- Jargon is used correctly and explained, not deployed to sound authoritative
- For YMYL topics, a subject-matter expert has reviewed or co-authored the piece
- Statistics and data points are current, not recycled from years-old sources without a refresh
The Authoritativeness Checklist
Authoritativeness measures whether the site and the author are recognized as a go-to source on the topic, both by other reputable sites and by users.
- Other reputable sites in the same niche link to this domain or this specific page
- Author has a consistent public presence (LinkedIn, published work, speaking history) that confirms their expertise
- Brand or author is cited, quoted, or mentioned by third-party publications
- Internal linking connects this page to a broader topic cluster so the site reads as comprehensive on the subject, not a one-off post
- Company “About” page clearly explains who runs the site and what qualifies them to publish on this topic
The Trust Checklist
Trust is the pillar Google’s own guidelines treat as foundational. A page can show experience, expertise, and authority and still fail if it feels unsafe, deceptive, or poorly maintained.
- HTTPS is enabled sitewide with no mixed-content warnings
- Contact information, business address, or support channel is easy to find
- Sources are cited with outbound links to primary or reputable data
- Content has a visible publish date and, where relevant, a last-updated date
- No intrusive ads, fake urgency, or deceptive design patterns block the content
- Claims that could cause harm if wrong (medical, financial, legal) are hedged appropriately and point to professional advice
- Reviews, testimonials, or ratings on the page are genuine and not fabricated
Building E-E-A-T When You Are a New Site or a New Author
Every established site was new once, and Google’s guidelines do not require decades of history to score well. What they do require is that the signals present, however small, are genuine and verifiable rather than fabricated.
- Start with a real, complete author bio on every piece of content, even if the author is early career, and be specific about what they have actually done
- Link the bio to a LinkedIn profile, portfolio, or published work so raters and readers can verify the person exists and has relevant background
- Publish a small number of deeply researched pieces rather than a large volume of shallow ones, since depth builds authority faster than frequency
- Pursue a handful of genuine third-party mentions, guest contributions, or interviews before chasing volume link building
- Keep a visible, honest “About” page that explains who runs the site, why it exists, and how it makes money if that is relevant to trust
- Add a corrections or update log for factual pieces so readers can see the content is actively maintained, not abandoned after publish
Tools and Methods for Auditing E-E-A-T
A checklist is only useful if it gets applied consistently across a content library, not just to new posts. Build a simple audit workflow around these steps.
- Export a list of all published URLs and sort by traffic or business value to prioritize which pages get reviewed first
- Score each page against the four checklists above using a simple pass, needs work, or fail rating
- Flag any page with an anonymous or generic byline for an author update before anything else, since this is the fastest fix with the biggest impact
- Check publish and last-updated dates sitewide and refresh anything older than twelve months on a fast-moving topic
- Spot-check outbound citations to confirm links still resolve to the original source and have not gone dead or been replaced with unrelated content
- Re-run the audit on a fixed schedule, quarterly for YMYL content and twice a year for everything else
Quick Audit Table
| Pillar | Core Question | Fastest Fix If Missing |
|---|---|---|
| Experience | Did the author actually do this? | Add first-hand detail, original media, or a tested example |
| Expertise | Does the author know this deeply? | Add credentials, get an expert review, deepen the technical detail |
| Authoritativeness | Is this source recognized elsewhere? | Build topical internal links and earn third-party mentions |
| Trust | Does this page feel safe and honest? | Add citations, dates, contact info, and secure the site |
E-E-A-T for AI Overviews, ChatGPT, Perplexity, and Gemini
AI search surfaces are pulling from the same trust signals raters look for, which means an E-E-A-T checklist built only for classic blue links is already incomplete. Structured, well-sourced, clearly attributed content is easier for large language models to extract and cite accurately, so the technical and sourcing items in this checklist double as AI visibility work.
Google has also been explicit that AI-assisted content is acceptable as long as a human adds genuine oversight and value on top of it. Teams can research, outline, and draft with AI tools, but the expectation is real editorial judgement layered on top, with nothing thin, generic, or unchecked making it to publish. The practical takeaway: run every AI-assisted draft through the four checklists above before publishing, and delete any section that only pads word count instead of answering the query.
YMYL Content Gets a Higher Bar
If a page could influence someone’s health, money, safety, or civic decisions, every item on this checklist moves from recommended to required. Google’s own guidance is direct about this: pages should be created to help people first, and where that is not the case, the lowest possible rating may be warranted. For YMYL pages specifically, add a named subject-matter expert reviewer, cite primary sources like government agencies or peer-reviewed research, and avoid absolute claims that a professional would qualify.
Common E-E-A-T Mistakes to Avoid
- Publishing under a generic “Team” byline instead of a named, verifiable author
- Treating E-E-A-T as an author-bio exercise while ignoring site-wide trust signals like HTTPS, dates, and contact pages
- Copying statistics from other blogs instead of linking to the primary source
- Letting AI-generated drafts go live without a human fact-check and edit pass
- Building isolated posts instead of a connected content cluster, which weakens perceived authority on the topic
Putting the Checklist to Work
Treat this checklist as a recurring audit rather than a one-time pass. Run new pages against all four pillars before they publish, and revisit older, high-traffic pages on a schedule so bylines, statistics, and sourcing stay current as Google’s guidelines evolve. Trust signals like clean backlink profiles matter here too, so pair this checklist with a regular link audit such as our related post on finding and removing toxic backlinks to keep both content quality and off-page trust working together.
FAQ
What does E-E-A-T stand for? E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trust. It is the framework Google’s Search Quality Rater Guidelines use to judge content quality, with Trust functioning as the foundation the other three pillars sit on.
Is E-E-A-T a direct Google ranking factor? No. E-E-A-T is not a ranking factor itself. It describes the qualities that Google’s automated ranking systems are trained to reward, based on feedback from human quality raters who score sample search results.
How is E-E-A-T different for YMYL content? YMYL pages, meaning content that could affect health, finances, safety, or civic decisions, are held to a stricter standard. Raters apply higher scrutiny, and these pages generally need expert review, primary sourcing, and clear author credentials to score well.
Can AI-written content pass an E-E-A-T checklist? Yes, if a human adds real oversight, fact-checking, and original value on top of the draft. Content that is published as raw AI output without editing or verification is the pattern Google’s 2026 guidance specifically targets.
How often should I re-audit a page against this checklist? Revisit YMYL and high-traffic pages every three to six months, and update the publish or last-updated date whenever facts, statistics, or recommendations change materially.



