Open your company's blog. Look at the byline on the last article you published about interest rates, or insurance premiums, or investment risk.
Does it name a person?
If it says "Tim Editorial" or "Admin" or nothing at all, you have a structural problem that no amount of link building repairs, and Google has been telling you about it in a public document for years.
What YMYL Actually Means, in Google's Own Words
Your Money or Your Life is not marketing shorthand. It is a classification inside Google's Search Quality Rater Guidelines, the document Google gives to the thousands of human evaluators who assess search results.
The guidelines define YMYL pages as those that could significantly impact a person's health, financial stability, safety, or wellbeing. Financial content sits squarely inside it. So does medical content, legal advice, and news about major events.
For these pages, raters are instructed to apply the strictest standards. Not stricter. The strictest.
And the specific questions they are asked to consider are uncomfortable ones.
What a quality rater is instructed to assess
Who created this?
A named individual, or an anonymous editorial function? Can the person be identified and verified anywhere else?
What qualifies them?
Credentials, licences, professional history. For financial content, formal qualification carries weight that enthusiasm does not.
Who is responsible?
Is the organisation identifiable, contactable, and accountable? Is there an editorial policy?
Is the site trustworthy?
Reputation beyond the site's own claims. What do independent sources say about this organisation?
Trust is the centre of the framework. Experience, Expertise and Authoritativeness exist to support it.
Now consider that a licensed Indonesian bank, an institution regulated by OJK, subject to capital adequacy requirements and regular audits, frequently publishes financial explainers with no named author, no credential, and no editorial disclosure.
Meanwhile Cermati publishes the same explainer with a bylined writer, a review note, and a link to the author's other work.
One of them looks accountable to a quality rater. It is not the bank.
The Byline Problem Is a Governance Problem
Ask why the bylines are missing and the answer is never "we forgot".
It is that naming an individual as the author of financial content creates a liability question. If the article says something imprecise about interest calculation, whose name is on it? Who defends that in a regulatory conversation?
So the safe institutional answer is "Tim Editorial", which names nobody and answers for nothing.
This is a rational decision made by people managing real risk. It is also, from Google's perspective, an admission that no identifiable expert stands behind the content on a page type where identifiable expertise is the primary quality signal.
The way institutions solve it
Not by removing the safeguard. By moving where it sits.
An article can carry a named author and a separate named reviewer. The writer produces it. A credentialed specialist reviews it and is named as having done so. Both are identified. Responsibility is distributed rather than hidden.
This is standard practice in medical publishing, where the liability stakes are at least as high, and where "reviewed by Dr. [Name], [Credential]" appears on content routinely.
The same article, two levels of accountability
What most institutions publish
Ditulis oleh: Tim Editorial
No individual. No credential. No verifiable expertise anywhere on the page or on the site.
What satisfies the standard
Ditulis oleh: [Name], Financial Content Specialist
Ditinjau oleh: [Name], CFP, licence number
Terakhir diperbarui: [date]
Two named people. One credential. One review date.
The compliance posture is identical. The E-E-A-T signal is not.
Structured Data Is Where the Credential Lives
A byline in text tells a human reader who wrote something. It tells a search engine almost nothing.
Person schema tells the engine that this name refers to a specific individual, that this individual holds a particular qualification, and that they can be found elsewhere under the same identity.
The author, as a machine reads them
"author": {
"@type": "Person",
"name": "[Name]",
"jobTitle": "Certified Financial Planner",
"hasCredential": {
"@type": "EducationalOccupationalCredential",
"credentialCategory": "CFP",
"identifier": "[licence number]" },
"sameAs": ["[LinkedIn]", "[professional body]"]
},
"reviewedBy": { "@type": "Person", "name": "[Reviewer]" }
}
The credential becomes a verifiable fact rather than a claim. The sameAs references let the engine connect this person to their professional identity elsewhere.
Google's Gemini in particular favours entities it can recognise and disambiguate. A brand with a verified Knowledge Panel and consistent Organization schema is treated as a distinct entity rather than as a string of characters, which dramatically increases confidence when citing it.
Most Indonesian financial institutions have neither.
The Citation Nobody Makes
Financial content is unusual in having an authoritative primary source sitting one link away, freely available, and almost never cited.
OJK publishes regulations. Bank Indonesia publishes payment standards. Both maintain public directories. An article about lending rules that quotes POJK 22/2023 directly, with the article number, is doing something that almost no competing content does.
This turns out to matter more than anyone expected.
The first peer-reviewed study of Generative Engine Optimization, published by Aggarwal and colleagues at ACM KDD 2024, tested ten thousand queries across nine domains. Adding source citations, direct quotations and statistics improved visibility by 30 to 40 percent. Keyword stuffing produced no effect at all, and sometimes a negative one.
The domain that benefited most from adding statistics was Law and Government, which is the closest available proxy for regulated financial content.
So citing the regulator, quantifying claims, and quoting the actual regulation text is not merely good compliance hygiene. It is the single most effective tactic available in this category, and there is peer-reviewed evidence for it.
What Actually Gets Measured
E-E-A-T is not a score. Google has said so explicitly, repeatedly, and people keep asking for the score anyway.
It is a set of concepts that quality raters use to evaluate whether search results are good, and those evaluations feed back into how Google's systems are trained. There is no E-E-A-T number in any tool, and any agency showing you one has invented it.
What can be assessed is whether the signals raters are instructed to look for actually exist on your pages.
Auditable, on any financial site
Named authors
On every YMYL page. With a biography page that exists and is linked.
Verifiable credentials
In Person schema, with licence numbers and sameAs references to professional bodies.
Editorial disclosure
Who reviewed this, when, and against what standard. Published, not implied.
Regulator citation
POJK numbers, article references, direct quotation. The primary source, not a paraphrase.
Methodology transparency
If you publish a calculation, publish how it was calculated. This is what makes a figure quotable.
Five things. None of them require a lawyer to approve. Most institutions have none of them.
Why This Compounds Into AI Visibility
The signals that satisfy a quality rater turn out to be the same signals that satisfy a generative engine, for the same underlying reason.
Both are trying to determine whether content can be trusted on a subject where being wrong causes real harm. Both look for identifiable expertise, verifiable facts, and accountable sources.
A page with a named CFP author, a licence number in structured data, a direct citation to POJK 22/2023, and a transparent calculation methodology gives an AI engine everything it needs to cite confidently.
A page bylined "Tim Editorial" gives it nothing to stand on.
This is where fintech SEO and Generative Engine Optimization for financial services stop being separate disciplines. The E-E-A-T work serves both, and the institutions that do it are building an asset that appreciates as AI search grows rather than one that has to be rebuilt for it.
I wrote Found Before They Search around this convergence, because clients kept asking whether they should invest in SEO or in AI visibility, and the honest answer was that the question had a false premise. The companion volume, Cited or Silent, goes deeper on how generative engines evaluate authority specifically. Both are free as gated editions, and both are published in paperback and hardcover and listed on Google Play Books and Apple Books.
Where to Start
Pick one article. The one that gets the most traffic, or the one about a product you care most about.
Add a named author with a real biography page. Add a named reviewer with a credential. Add a review date. Cite the relevant POJK by number.
Nothing about that requires new approvals, because none of it changes a single claim the article makes.
Then look at what the aggregator ranking above you has on the same page, and notice how much of it you now have too.
Frequently Asked Questions
What does YMYL mean for a financial website?
Your Money or Your Life is a classification in Google's Search Quality Rater Guidelines covering pages that could significantly impact a person's financial stability, health, safety or wellbeing. Financial content sits inside it, and raters are instructed to apply the strictest standards. They assess who created the content, what qualifies them, who is responsible for the site, and what independent sources say about the organisation.
Is E-E-A-T a ranking factor with a score?
No. Google has said explicitly and repeatedly that E-E-A-T is not a score and does not exist as a metric in any system. It is a set of concepts human quality raters use to evaluate whether search results are good, and those evaluations inform how Google's systems are trained. Any tool or agency showing you an E-E-A-T score has invented it.
Why is "Tim Editorial" as an author a problem?
Because on a YMYL page, identifiable expertise is the primary quality signal, and an anonymous editorial function names nobody and answers for nothing. Quality raters are instructed to determine who created the content and what qualifies them. Meanwhile the comparison sites outranking you publish bylined content with named writers and linked author pages.
How do we name authors without creating liability?
By separating authorship from review, as medical publishing does routinely. A writer produces the article and is named. A credentialed specialist reviews it and is named as having reviewed it. Both are identified, responsibility is distributed rather than hidden, and the compliance posture is unchanged.
Does citing OJK regulations actually help rankings?
There is peer-reviewed evidence that it helps AI citation, which increasingly overlaps with search visibility. Aggarwal and colleagues at ACM KDD 2024 tested ten thousand queries and found that adding source citations, quotations and statistics improved visibility by 30 to 40 percent, while keyword stuffing produced no effect. The Law and Government domain, the closest proxy for regulated financial content, benefited most from statistics.
What should Person schema contain for a financial author?
Name, job title, credential category, licence or certification number where one exists, and sameAs references linking to LinkedIn or a professional body. This turns a claimed qualification into a verifiable fact that an engine can confirm independently rather than accept on assertion.
Why does Gemini treat entity recognition differently?
Google's Knowledge Graph underpins Gemini's confidence when citing a brand. An organisation with a verified Knowledge Panel, consistent Organization schema with sameAs references, and clear entity disambiguation is recognised as a distinct entity rather than as a string of characters. Most Indonesian financial institutions have not done this work.
Sources & References:
- Google Search Quality Rater Guidelines - YMYL classification and E-E-A-T assessment criteria. Publicly available.
- Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan, Deshpande - "GEO: Generative Engine Optimization", ACM SIGKDD 2024, arXiv 2311.09735. Ten thousand queries across nine domains.
- POJK 22/2023 - Otoritas Jasa Keuangan, consumer protection provisions for financial services.
- Schema.org - Person, EducationalOccupationalCredential and Article specifications.
- Arfadia Digital Indonesia - AI Citation Rate Report 2026. arfadia.com/resources
- Arfadia Digital Indonesia - State of SEO Indonesia 2026. arfadia.com/resources