What Evidencing E-E-A-T Actually Looks Like on a Business Site
Table of Contents
Most articles about E-E-A-T experience spend nine hundred words explaining what the four letters stand for. That is not much use on a Monday morning when you have a website and a list of pages that stopped ranking. The practical question is narrower: what does a page look like when it genuinely shows evidence of first-hand involvement, and what does it look like when it only claims to?
The difference is structural. E-E-A-T experience is evidenced in author pages, bylines, schema markup, an About page that names real people, and in the sentences inside the article itself. Every example below is drawn from ProfileTree’s own site, because a piece arguing for visible proof should be able to point at its own.
What E-E-A-T Experience Means to Google
Google’s published guidance asks content producers to answer three questions about any page: who made it, how it was made, and why it exists. The Search Central documentation on helpful, reliable, people-first content frames trust as something a reader should be able to verify, through clear sourcing, evidence of the expertise involved, and background about the author or the publishing site.
Read that as a specification rather than a philosophy. Each of those three questions maps to something a developer or a content editor can build. “Who” maps to author pages and Person schema. “How” maps to first-hand detail in the body copy and a visible editorial standard. “Why” maps to an About page that explains what the business does and for whom.
Treating E-E-A-T experience as a build spec rather than a mindset is the shift that makes it actionable. The pages that struggle are rarely the ones with bad writing. They are the ones where a reader cannot work out who is behind the advice.
Build the Author Layer First
Of everything in this article, the author layer is the piece most sites get wrong and the piece that takes least time to fix. It carries more weight than any other structural element on the page, and it has three parts that only work when all three are present.
Author Pages With Real Credentials
A working author page is not a two-line bio under a stock photograph. It should carry the person’s full name, a photograph of that actual person, their role and the company they work for, how long they have been doing the work, the specific areas they cover, and outbound links to their professional profiles.
Ciaran Connolly’s author page does this in the plainest way possible. It states the role, the agency, the location, the number of years, and the specific subjects he writes about, then lists every article carrying his byline. A reader who wants to know whether the advice is worth following can establish that in about fifteen seconds.
The failure modes are consistent across the SME sites worth auditing:
- Posts attributed to “Admin”, “Editor”, or the company name rather than a person
- Author pages with no photograph, or a stock photograph of someone who does not work there
- Bios that describe enthusiasm (“passionate about digital”) instead of evidence (years, sectors, project counts)
- No outbound link to LinkedIn or any independently verifiable profile
That last point matters more than it looks. An author page that links nowhere is a closed loop. An author page that links to a LinkedIn profile, a conference listing, or a published interview gives both readers and crawlers a path to corroboration.
Bylines on Every Substantive Article
Every article that offers advice should carry a visible byline near the top, linked to the author page, alongside a published date and a genuine “updated on” date. Not a date that changes when someone fixes a typo. A date that reflects the last time the substance changed.
Resist the temptation to put your most senior person’s name on everything. If four people write for the site, four author pages should exist and each byline should be accurate. ProfileTree runs separate author pages for Laura Logan and Miral Nassar alongside Ciaran’s, which is the honest structure for a multi-author operation and the one that holds up if anyone checks.
Where a piece was genuinely a collaboration, say so. Where an outside specialist reviewed it, name the reviewer and their credential.
Person Schema That Connects the Profiles
Structured data is the part that gets skipped, usually because it lands in the gap between the content team and the dev team. It is a small job with a disproportionate effect, because it removes the guesswork from how machines connect an author to their track record.
Two pieces are needed. Person schema on the author page itself, carrying name, jobTitle, worksFor pointing at the Organization, image, url, and a sameAs array listing every external profile that belongs to that person. Then the author property on each Article referencing that Person by @id, so the byline and the profile are explicitly the same entity rather than two similar strings.
One rule governs all of it: structured data must match what a human can see on the page. Person schema describing credentials that appear nowhere in the visible copy is a liability rather than a signal.
Where E-E-A-T Experience Shows Up in the Content
The first E in E-E-A-T is the one that separates a working page from a competent summary of other people’s pages. E-E-A-T experience shows up sentence by sentence, in detail nobody could write without having done the thing.
Compare two versions of the same advice:
Businesses should track keyword rankings regularly to measure content performance.
On client reporting at ProfileTree, long-tail and local queries usually move first, within roughly three to six months of consistent publishing. Competitive head terms take considerably longer, and sites starting from little existing authority should expect the second year to outperform the first.
The second version is not longer for the sake of it. It commits to a timeframe, distinguishes between query types, and names the condition under which the pattern holds. Someone who has never run a content programme cannot produce that paragraph, which is precisely what makes it usable as evidence.
Practical ways to get first-hand detail into a draft:
- Name the timeframe. “Within eight to twelve weeks” beats “quickly”.
- Name the constraint. What made this harder than expected? Budget, legacy platform, a client sign-off process?
- Show a failure. The approach that did not work is more convincing evidence of experience than three that did.
- Use real screenshots. Search Console exports, analytics views, and annotated screengrabs from actual project work. Google’s image handling specifically favours original visual content over stock.
- Attribute properly. “Experts agree” and “studies show” are placeholders. Name the study or cut the claim.
This is also where the difference between a summary and a genuinely useful piece of content marketing becomes measurable, because pages that contribute something new are the ones that earn citations in AI answers rather than being paraphrased away. If you have pages that read well and still sit on page four, thin E-E-A-T experience signals are worth checking before anything technical; there is a longer breakdown of why content fails to rank that covers the other common causes.
“The sites that hold their rankings through core updates are the ones where you can click a byline and find a real person with a track record behind it. That takes years to build and about ten minutes to fake badly, and Google has become much better at telling the two apart.”
Ciaran Connolly, founder of ProfileTree
Surface Reviews, Awards and Proof Where They Are Relevant
Social proof belongs next to the decision it supports. A testimonial carousel in the footer of every page is decoration. A relevant review sitting inside the service section it describes is evidence.
ProfileTree holds a 5-star Google rating from over 450 reviews and places specific reviews on the service pages they relate to, so a business reading about content work sees feedback from clients who bought content work. That placement decision is worth more than the star count on its own.
The same logic applies to the rest of the proof inventory: accreditations, speaking engagements, published interviews, podcast appearances, and industry awards. Each of these corroborates the claim from outside the site, which is why they carry weight that self-description cannot. Each belongs somewhere it is contextually relevant rather than collected into a badge wall nobody reads. Reviews are also a content source in their own right, since the language clients use in feedback tends to match the language prospects type into search; there is a practical method for turning customer feedback into content strategy that treats reviews as research rather than decoration.
Two constraints apply without exception. Never publish a review you cannot evidence, and never round a figure upward. Fabricated proof is the fastest way to convert a trust signal into a liability, which is part of the wider case for transparency in content marketing.
Write an About Page That Reads Like a Real Company
Quality raters and AI systems both pull heavily from About pages when working out whether a business is real, which makes this page a disproportionate contributor to site-level E-E-A-T experience. A surprising number of SME About pages contain three paragraphs of adjectives and no verifiable facts.
A page that does its job includes the founding year and the founder’s name, the registered company name, a physical address, a phone number and email that reach a human, named team members with photographs and roles, the sectors served, and a clear statement of what the business actually does.
Our About page carries the specifics: ProfileTree was founded in Belfast in 2011 by Ciaran Connolly, operates from the McSweeney Centre on Henry Place, has completed over 1,000 digital projects for businesses across Northern Ireland, Ireland, and the UK, and runs its own publishing brands including LearningMole and Connolly Cove. Those are checkable claims. A reader can look up the address, count the reviews, and watch the videos.
Consider adding a short editorial standards note as well, explaining how content is researched, who reviews it, and how AI tools are used in the process. Very few SME sites do this, which is precisely why it stands out.
YMYL: Where These Signals Work Hardest
Every signal above applies to every site. On topics that touch money, health, safety, or legal standing, E-E-A-T experience stops being advisable and starts being the entry requirement.
Google classifies these as “Your Money or Your Life” pages and holds them to a higher evidential standard, because inaccurate advice on a mortgage, a medication, or an employment right causes real harm. In practice that means credentials must be relevant as well as real (a marketing qualification does not authorise financial advice), sources must be named and linked, review dates must be visible, and a named reviewer with the appropriate professional standing should sign off anything clinical or regulated.
A financial adviser, accountant, solicitor, or healthcare provider should treat the author layer as non-negotiable rather than an improvement task. Google’s YMYL guidance covers the classification and how the quality rater framework treats these categories in more detail.
An E-E-A-T Experience Audit You Can Run This Week
Work through the table below against your own site. Most SMEs find four or five gaps, and the majority are fixable inside a fortnight.
| Signal | What good looks like | Common failure |
|---|---|---|
| Author page | Real name, photograph, role, years of experience, specialisms, outbound profile links | “Admin” account, stock photo, no bio |
| Byline | Visible near the top, linked to author page, accurate to who wrote it | Everything attributed to the founder or the company |
| Dates | Published date plus an “updated on” date reflecting substantive change | No dates, or dates refreshed without content changes |
| Person schema | Name, jobTitle, worksFor, image, url, sameAs array of external profiles | No schema, or schema claiming credentials not visible on the page |
| Article schema | author referencing the Person entity by @id | Author stored as a plain text string |
| In-content evidence | Timeframes, figures, named constraints, original screenshots | Generic advice interchangeable with any competitor’s blog |
| Reviews | Placed beside the relevant service, verifiable, accurately counted | Footer carousel on every page, unattributed quotes |
| About page | Founder, founding year, address, phone, named team, sectors served | Adjectives with no checkable facts |
| Contact route | Named contacts, real address, working phone number | Form only, no address, no named person |
| YMYL review | Named reviewer with relevant professional credential | Medical or financial claims with no qualified sign-off |
Where to Start
The sequence matters more than the speed. Build the author pages first, because bylines and schema both depend on them existing. Add accurate bylines and dates across substantive articles second. Brief the development team on Person and Article schema third, as a single batched job rather than page by page.
Then work backwards through the content itself, starting with your highest-traffic commercial pages, and replace generic advice with detail only your team could supply. The About page and review placement come last, not because they matter least, but because they are the quickest to change once you know what the rest of the site is claiming.
None of this requires a redesign or a migration. Evidencing E-E-A-T experience rewards a decision to be visible about who does the work, and that decision costs nothing but candour.
Frequently Asked Questions
Is E-E-A-T experience a ranking factor?
Not directly. Google has been consistent that E-E-A-T is a framework its quality raters use to assess results, and that raters do not change rankings themselves. Their assessments inform the development of the ranking systems. The practical consequence is the same either way: the signals raters are told to look for are the signals the automated systems have been trained to approximate. Building author pages and evidencing experience improves how both humans and systems assess the page, whether or not any single element is a named factor.
Do I need a separate author page for every writer?
Yes, if they write substantive advice content. A shared “Editorial Team” page is acceptable for news round-ups or product updates, but any page offering guidance a reader might act on should carry an individual byline linked to an individual page. Three genuine author pages are worth considerably more than one page listing eight names.
What if your writers are not credentialled experts?
E-E-A-T experience counts alongside formal qualification, which is why Google added the second E to the framework in 2022. A writer who has personally run forty client campaigns has demonstrable experience even without a certificate. State what is true: years in the role, projects delivered, sectors covered. The problem arises when a bio implies expertise the person does not hold, particularly on YMYL topics where formal credentials genuinely are required.
How much does an author page need to say?
Between 150 and 300 words is usually sufficient, provided it is specific. Role, employer, years of experience, the subjects they cover, one or two proof points, and links to external profiles. Length matters far less than whether a reader can verify any of it.
Can you use AI to write content and still satisfy E-E-A-T?
Google’s stated position is that it assesses content quality rather than production method. AI-assisted drafting is compatible with strong E-E-A-T provided a qualified human contributes the experience, checks the claims, and takes the byline. What fails is unreviewed AI output published under a fabricated author, because the experience signal is absent and the trust signal is false.
How long before improving these signals shows up in rankings?
Author pages, schema, and About page changes are usually crawled and processed within a few weeks. Movement in rankings is slower and rarely attributable to one change in isolation, since these signals are assessed at site level alongside content quality. Treat this as removing a constraint rather than applying a lever.