E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness. It's the standard Google's search quality raters use to judge whether a page deserves trust, and Google says trust matters most. There's no E-E-A-T score. Google's systems look for a mix of signals that match it, and they give those signals extra weight on "Your Money or Your Life" topics. Most regulated B2B content sits there.
I'm Brenden House. I run Searchmaxxed, an SEO and AI SEO agency, and on 27 October 2026 (AEST) I reread Google's main documents on E-E-A-T. Here's what they say, and don't. Then comes the part a B2B marketing team can act on: author pages, expert review, sourcing, and the reputation AI answers read.
In summary
E-E-A-T is Google's standard for trustworthy content. It has no score, and it counts most on YMYL topics like finance, health and law.
- E-E-A-T is a quality standard. Google's raters use it to check whether the ranking systems work, and their ratings don't move your rankings.
- Trust sits at the centre. Experience, expertise and authority all feed it, and a page that's untrustworthy for any reason has low E-E-A-T.
- YMYL raises the bar. On topics that affect health, money, safety or society, Google gives "even more weight" to content with strong E-E-A-T.
- You show it on the page and off it: named authors, expert review, dated primary sources and what other sites say.
- AI answers reward the same work. Google says AI Overviews and AI Mode need nothing extra, and ChatGPT and Perplexity still pick the sources they trust enough to cite.
What does E-E-A-T stand for?
E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness. Google added experience to its rater guidelines on 15 December 2022, turning the older E-A-T into E-E-A-T. Each letter asks one question. Who made this page, and can you rely on it?
Google's rater guidelines define each part with a question, and here is each one beside what it looks like on a B2B site.
| Letter | The question Google's raters ask | What it looks like on a B2B site |
|---|---|---|
| Experience | Does the creator have "first-hand or life experience for the topic"? | A solutions engineer explaining an integration they've shipped, with screenshots from the real setup |
| Expertise | Does the creator have "the necessary knowledge or skill for the topic"? | A credentialed compliance lead, clinician or lawyer writing or reviewing the page |
| Authoritativeness | Is the creator or site "known as a go-to source for the topic"? | Analysts, trade press, standards bodies and customers citing or linking to you |
| Trust | Is the page "accurate, honest, safe, and reliable"? | Correct claims, dated sources, a real company behind the page, easy contact details |
Trust decides it. The guidelines call it "the most important member at the center of the E-E-A-T family", and the other three exist to support it. Depending on the topic, a page can earn trust through experience alone or expertise alone.
E-E-A-T means the same in digital marketing. It's the set of signals telling a reader, and Google, that a real and qualified source stands behind your content.
Is E-E-A-T a ranking factor?
No, not as a single factor. In Google's words, "E-E-A-T itself isn't a specific ranking factor". Its systems do use "a mix of factors that can identify content with good E-E-A-T". So E-E-A-T shapes rankings through many signals, and none of them carries the name.
The confusion comes from the raters. Google has people, called search quality raters, review its results and report whether each change to its systems made them better or worse. Google is plain about the limit: "Search raters have no control over how pages rank. Rater data is not used directly in our ranking algorithms."
Google compares rater feedback to the comment cards a restaurant collects from diners, which tell the kitchen whether the food is any good. They don't cook it.
What does that mean for you? The guidelines describe the result Google's ranking systems aim for, which makes them the most useful public checklist you'll find anywhere. An "E-E-A-T plugin" can't do much. The signals live in your content, your people and your reputation.
Is there an E-E-A-T score?
No. Google gives your site no E-E-A-T score, and no tool can read one. Any "E-E-A-T score" inside an SEO tool is that vendor's own estimate, and most vendors base it on backlinks, brand mentions and on-page checks.
Treat those estimates as one vendor's opinion. For a B2B company, four measures tell you far more:
- Branded search volume in Search Console.
- Links and mentions from sites your buyers already trust, such as trade press, analysts, standards bodies and technology partners.
- AI answers that name you.
- Leads and pipeline from organic search, tracked through to your CRM so the work ties back to revenue rather than rankings alone.
What does Google's current guidance say about E-E-A-T?
Google's page "Creating helpful, reliable, people-first content" holds its E-E-A-T guidance, and the current version carries a date of 5 October 2026. It goes further than most summaries. It lists four attributes raters use to judge a page's main content.
| Attribute | Google's description, in short | What it asks of a B2B content team |
|---|---|---|
| Effort | "The extent to which human work went into creating the content" | Original analysis, interviews with your people, your own data |
| Originality | "Unique, original information or perspectives that aren't already available on other websites" | Something a competitor can't copy: your benchmarks, customer patterns, product facts |
| Talent or skill | Clear writing, good production, working tools | Pages your best engineer would forward to a customer |
| Accuracy | YMYL content "must be highly accurate and consistent with established expert consensus" | Expert review and dated sources on regulated topics |
The same page names two things that hurt trust. The first is mass-produced text. Google says "using generative AI to produce large amounts of text without manual oversight or curation represents little to no effort". The second is worse: fake authors. Google calls "AI-generated headshots, made-up names, or false credentials" a form of deception. Deception, it says, makes a page "untrustworthy to both users and our automated quality systems".
That second point bites B2B teams. Picture a blog that carries a made-up "Head of Research" persona so the company looks established. Under Google's current wording, that persona does the opposite of its job.
The page also frames everything around three questions: who made the content, how they made it, and why. Google calls why "perhaps the most important question". The answer it wants is content made "primarily to help people".
Why does E-E-A-T matter more for fintech, health, legal and public-sector companies?
E-E-A-T matters more in these sectors because their topics are YMYL, short for "Your Money or Your Life". On YMYL topics, Google says its systems "give even more weight to content that aligns with strong E-E-A-T". Raters also expect that content to match expert consensus.
Raters sort YMYL harm into four types:
- Health or safety: physical, mental or emotional health, and safety online.
- Financial security: anything that could damage a person's ability to support themselves and their family, from credit and lending to investing and tax.
- Government, civics and society: public services, elections and trust in institutions.
- Other: anything else that could hurt people.
A payments company explaining chargebacks is writing YMYL financial content, and so is a lender comparing loan terms. A healthtech company describing a symptom checker is YMYL health, and an agency page about eligibility for a public service is YMYL government. A B2B SaaS page about project templates usually isn't.
The guidelines also separate experience from expertise on YMYL topics. Their example: a forum post about coping with liver cancer treatment carries valuable life experience, while treatment options and life expectancy belong to experts. The rule for your team follows. Customer stories can carry experience, but advice, numbers and product claims need an expert's name on them.
Expert review and compliance sign-off do different jobs
Most regulated companies have compliance sign-off. It does a different job from expert review, and Google's guidance points at both.
Compliance checks that you don't say anything you're not allowed to say. An expert checks that what you say is right. A page can pass compliance and still be thin, out of date or vague, which is exactly how it loses on E-E-A-T.
Here's the good news. Your regulator's rules already push you toward trustworthy content, and this table maps common sectors to the rule that governs their claims.
| Your sector | YMYL type | Who should review the content | The rule that already governs your claims |
|---|---|---|---|
| Fintech, lending, payments (Australia) | Financial security | A licensed or credentialed finance or credit lead | ASIC Regulatory Guide 234 on advertising financial products, issued 9 June 2026 |
| Broker-dealers and investment platforms (US) | Financial security | A registered principal | FINRA Rule 2210: a qualified principal must approve each retail communication before use |
| Health products and healthtech (US) | Health or safety | A clinician or scientist in the field | FTC Health Products Compliance Guidance (December 2022): health claims need "competent and reliable scientific evidence" |
| Health services (Australia) | Health or safety | A registered practitioner | Ahpra's advertising guidelines, including its testimonial requirements |
| Legal services and legaltech | Financial security, or government and society | An admitted lawyer in the right jurisdiction | Your local legal profession's advertising and conduct rules; check them with your regulator |
| Public sector | Government, civics and society | The policy owner for the program or service | Your agency's own content and accessibility standards |
FINRA's rule even sets the tone Google looks for. It says communications "must be fair and balanced" and bans any "promissory or misleading statement or claim". Write to that standard and much of the trust work is done.
What should a B2B author page include?
A B2B author page should show who wrote the content, why they're qualified, and where a reader can check. Google asks three questions. Is it clear who wrote it? Does the page carry a byline where readers expect one, and does that byline lead to more about the author? Aim for yes on every article.
Use this checklist for each author:
- Full name and current role, matching LinkedIn and your company's about page.
- The experience behind the byline: products shipped, customers served, years in the field, in specific terms.
- Credentials that matter for the topic: licences, registrations, certifications, published research.
- The topics they cover, linked to their articles, so the page shows depth in one area.
- Proof outside your site: talks, papers, podcasts, standards work, press quotes.
- A real photo and a way to reach them or the company.
- Person schema that matches the visible page, with
sameAslinks to their LinkedIn and other profiles.
Person schema is structured data that tells search engines a page describes a person, along with their name, role, employer and profiles. Our schema markup guide shows how to write it so it matches the page.
Next, add a reviewer line. "Reviewed by [name], [credential], on [date]" tells readers and raters that a qualified expert checked the page before it went live. Link that name to the reviewer's own author page.
Here's a worked example, with a made-up B2B security vendor publishing a guide to SOC 2 audits. A content marketer drafts it. Then the company's head of compliance, who has run several audits, adds the evidence auditors ask for. Her name goes on the byline. Her author page lists the audits, her certifications and a conference talk, so a reader can check her in two clicks.
We run our own site this way. Every Searchmaxxed article names me and links to my author page, which carries the record behind the byline. That record reads:
Before Searchmaxxed, I built Radiant Roof Repairs from zero to more than A$1 million a year in revenue using SEO as the only marketing channel. Three high-intent Gold Coast roofing searches reached number one within 90 days. I did the pages, research, competitor checks and updates manually.
It's an old result. It sits on the author page because it's first-hand experience a reader can check.
How does expert review work for B2B content?
Expert review means a qualified person checks a page's facts, advice and claims before it goes live. The page then shows their name and the date. For a B2B team, it's a quick way to add expertise to content a writer drafts. On YMYL topics, treat it as required.
Here's a workflow that fits a regulated marketing team:
- Interview the expert first. A short call with an engineer, clinician or compliance lead gives the writer facts no competitor has.
- Draft from the interview and primary sources. Mark every claim that needs checking.
- Expert review. The expert checks accuracy and completeness, and adds what's missing.
- Compliance review. Compliance checks the claims against the rules.
- Publish with the reviewer line. Name, credential and date, linked to their author page.
- Set a re-review date. Regulated content goes stale when rules, products or prices change. Diary the next review.
Not every page needs expert review, and this table helps you decide which ones do:
| Content | Expert review? |
|---|---|
| Advice on money, health, legal rights or safety | Yes, every time |
| Product claims, performance figures, security or compliance claims | Yes |
| Comparison and pricing pages | Yes, for accuracy and fairness |
| Product updates, release notes, event recaps | Usually no |
| Opinion pieces under a named leader's byline | The author's own expertise covers it |
How should B2B content cite its sources?
B2B content should cite primary sources with dates, put your own data first where you have it, and link each claim to its source. Primary sources are regulators, standards bodies, peer-reviewed research and the vendor's own documentation. Roundups come last.
The rater guidelines tell raters to research a site's reputation away from the site itself. When a site's claims disagree with "reputable independent sources", raters get a blunt instruction: "trust the independent sources." Your sourcing has to survive that check.
A few rules that hold up:
- Date every number. "As of the Q3 2026 survey" beats "recent research".
- Link the original, not the blog post that quoted it, so a reader or an AI answer can check the claim at its source.
- Say what you measured and what you think. Keep them apart on the page.
- Show your method for any original data: sample, date, tool.
- Never invent a statistic. If you can't find a source, cut the claim.
We hold ourselves to the same rule. Every public claim on our site traces to a named source, first-party data or live client work. A client result goes public only with that client's written approval for the exact use. That's why this article quotes so few of our results.
Does E-E-A-T affect AI Overviews, ChatGPT and Perplexity?
Yes, in practice, though only Google uses the term. Google says there are "no additional requirements to appear in AI Overviews or AI Mode", so the same quality signals apply. ChatGPT and Perplexity follow their own rules. They still choose which sources to trust and cite.
Google's AI features also use "query fan-out": several related searches run behind one answer, widening the set of pages it can draw on. A page still has to be indexed and eligible for a snippet in normal Google results before any of that applies.
Here's what we measured:
> "We put 300 Australian agency-buyer questions to ChatGPT three times each, with search on. It pulled 17,870 search results into those 900 answers and kept 4,389 as sources. Being found is the easy part. About three in four results it reads never make the answer."
Those numbers come from our own panel of ChatGPT answers, run on 2 October 2026 with Australian buyer questions. The lesson carries over. Getting into the results is step one. Staying in the answer takes the trust signals in this article: a clear author, checkable facts, and other sites that agree with you.
Three things help AI answers trust you:
- Consistent facts. Your company name, products, people and claims should match across your site, LinkedIn, review sites and press. Our guide to entity SEO explains how to line them up.
- One question per page. Put the answer in the first two sentences so an engine can lift it whole.
- Independent sources that mention you, from trade press and analysts to partners and customer reviews. For the full method, read how to rank in ChatGPT.
Can AI-written content have good E-E-A-T?
Yes, if a qualified person adds what AI can't. Google says "appropriate use of AI or automation is not against our guidelines" and rewards quality "however it is produced". Mass-producing pages to manipulate rankings is different, and breaks Google's spam policy on scaled content abuse.
AI can draft, summarise and structure. It can't supply first-hand experience, your customer data or an expert's judgement. So in an AI-assisted article, the E-E-A-T comes from what a person adds: the interview, the data, the review and the byline.
My own view? Google doesn't care who typed it. "It just matters if it's good and if you're giving it information gain. That's literally all that matters." Information gain means facts the reader can't get from the pages already ranking.
Google also suggests disclosing AI use where a reader "might think 'How was this created?'" A named author and reviewer usually answer that.
What does good E-E-A-T look like on a B2B page?
Here's a worked example. A fintech company's explainer on business lending terms sits on page two, and AI answers skip it. The company is fictional, but every fix below comes from Google's guidance.
| Element | Before | After |
|---|---|---|
| Byline | "By the Team" | The head of credit, with a link to her author page |
| Review | None | "Reviewed by" line naming the compliance lead, with a date |
| Opening | Three paragraphs on why lending matters | The answer to the search in the first two sentences |
| Figures | "Rates vary" | The company's own published rate table, dated |
| Sources | One link to another lender's blog | The regulator's guidance and the company's own product terms |
| Experience | Generic advice | A section on the three questions applicants ask most, from the sales team |
| About and contact | Footer link only | A clear company page, licence details and support contacts |
| Off-site | No mentions | A data story pitched to trade press, with the full data hosted on the company's own site |
None of this needs a redesign. Most of it needs people inside the company, and that's why E-E-A-T work stalls when marketing tries to do it alone.
How does Searchmaxxed build E-E-A-T into your content?
Searchmaxxed builds E-E-A-T into content through our SEO content strategy service. Every asset gets a brief. It names the buyer, the job, priority facts, proof, source material, internal links and the next action. Then we build the page, the author and reviewer records, and the schema that ties them together, and ship it to your site.
We're an SEO, AI SEO, GEO and AEO agency for enterprise, B2B SaaS, venture-backed, manufacturing and public-sector companies. On E-E-A-T, the work covers six things:
- Expert interviews and briefs.
- Author and reviewer pages with Person and Organization schema that match what the page shows, plus
sameAslinks to each person's real profiles. - Sourcing to primary documents.
- Technical SEO that keeps those pages crawlable, fast and indexed, because no one can trust a page Google never shows.
- Links and digital PR.
- Tracking of AI answers in ChatGPT, Gemini, Perplexity and Google's AI Overviews, so you see who they name and which sources they cite.
Here's how we do it. We build on a website you own, our Agentic Website. AI agents pull your Search Console and GA4 data, read the Google results and check what AI answers say about you. That data feeds the Managed Search Loop, which shows which page, fix or link should bring in the most enquiries next. Off your site, the Off-Page Source Layer builds links, digital PR and mentions.
Our packages differ in output:
| Package | Who it suits | What it includes |
|---|---|---|
| Growth System | A company growing in one or two markets | 30 page releases a month, work on up to four existing pages, one qualified link action a month, AI visibility tracking |
| Agentic Search Engineering | A competitive, national or multi-market category | 50 page releases a month, comparison and industry pages, a monthly press release, digital PR and link campaigns, AI answer tracking |
| Custom & Enterprise | Several brands or markets, or a large site | Dedicated engineering, custom reporting and original first-party research |
A page release is an approved new page or a substantial rebuild of one. You own the site, repository, content and data from day one.
Searchmaxxed's work has generated more than A$10 million in revenue through search for its clients.
Is Searchmaxxed right for you?
We fit marketing and growth teams in enterprise, B2B SaaS, fintech, healthtech, manufacturing and the public sector. You want E-E-A-T built into every page you publish. We're the wrong call if you want an E-E-A-T score, a one-off author bio, or content nobody inside the company will review.
| Searchmaxxed is a good fit if | Look elsewhere if |
|---|---|
| You publish on YMYL topics and need expert review built into the workflow | You only need a few blog posts a quarter |
| Your engineers, clinicians or compliance leads can make time for interviews and review | Nobody inside the company can review content |
| You want SEO and AI search handled by one team, with pages you can count | You want an audit report and no changes to your site |
| You want to own your site, repository, content and data | You need search to fill this month's pipeline on its own |
| You want links and digital PR from sources your buyers trust | You want a dashboard score to report upward |
Frequently asked questions
What does EAT stand for in SEO?
E-A-T stood for expertise, authoritativeness and trustworthiness. Google added experience on 15 December 2022, which made it E-E-A-T. Whether you write EAT, EEAT or E-E-A-T, it's the same standard.
Is E-E-A-T an algorithm?
No. E-E-A-T is a standard Google's human raters use to judge results. Google's systems use many signals that line up with it, and weigh them more on YMYL topics. No single E-E-A-T algorithm or score exists.
Do author bios help SEO?
Yes, when they're true and specific. Google asks whether bylines "lead to further information about the author". A real author page with experience, credentials and outside proof supports trust. A fake persona hurts it.
What is YMYL in SEO?
YMYL means "Your Money or Your Life": topics that could affect someone's health, financial security, safety or society. Google gives strong E-E-A-T more weight here. Most regulated B2B content counts.
How long does it take to improve E-E-A-T?
On-page fixes like author pages, reviewer lines and better sources take weeks to ship. Reputation takes longer. Other sites have to mention you first, so judge the change across several months rather than one.
Does E-E-A-T matter for B2B SaaS?
Yes. Most SaaS topics aren't YMYL, so the bar sits lower than in finance or health. Buyers and AI answers still pick sources they trust, and named experts, original product data and trade press mentions help a SaaS page win both.
What is SEO authority?
SEO authority is how much search engines and readers trust a site on a topic. It comes from links and mentions on respected sites, consistent facts about your company, and a long record of accurate content on that topic. Google's rater guidelines judge reputation per topic. A site can earn trust on one subject and lose it on another.
What should you do next?
Pick your five most important YMYL pages. Check each one against the author checklist, the expert review table and the sourcing rules above, then fix the byline and the sources first. If you'd like us to build E-E-A-T into your content and your site, let's talk pricing.