E-E-A-T and author schema: what is actually verifiable

SEO content repeats two kinds of statement about E-E-A-T and author schema markup: what Google itself has published, and a much larger volume of specific-sounding percentages attributed to studies that are rarely named or linked. Before citing either kind, we checked both against what a reader could actually verify.

The percentages that do not check out#

One frequently repeated figure holds that E-E-A-T signals correlate with roughly 8% of ranking weight across all queries, rising to about 24% for YMYL (Your Money or Your Life) queries, credited to a “DollarPocket correlation study.” DollarPocket is a real, reachable site publishing a page titled SEO Ranking Factors Study 2025. It is not a research organization: it is a personal finance and internet marketing blog. The page states the 8% and 24% figures without disclosing a formula, a statistical method, or named authors - the byline is an “Editorial Team.” Nothing on the page allows a reader to check how those numbers were derived. We are not using this figure, and any piece that cites it as a study should be read with that in mind.

A second claim, that pages without a named author are “40% less likely” to be cited by AI engines, turns up constantly in AI-search-optimization content but does not trace to a specific, checkable study. Coverage of how AI answer engines choose sources does discuss author attribution as one factor among several - named authors, visible dates, and linked external sources are described as things that plausibly help a claim get picked up - but none of that coverage produces this particular figure or names a study behind it. We could not verify it, so it does not appear here as fact.

Neither of these findings proves the underlying idea is wrong. Named authorship and topical expertise may well correlate with something Google’s or an AI engine’s systems reward. What can be said is that these two specific numbers, as commonly repeated, are not traceable to a source that would survive scrutiny.

What Google itself actually says#

Google’s own position on E-E-A-T is more consistent, and more available to check directly, than the secondary content built on top of it. Search Liaison Danny Sullivan addressed the point directly in February 2024, reported by Search Engine Roundtable: “It’s not a ranking factor. It’s not a thing that’s going to factor into other factors.” He was responding to a question about whether hiring a credentialed expert to write content would itself improve rankings, and the answer was that it would not, because expertise is not a value Google’s systems score on its own.

Google frames E-E-A-T as a tool for raters, not an input for ranking. The December 2022 Search Central announcement that added the second E, for experience, describes E-E-A-T as part of the guidelines Google’s human search quality raters use “to help evaluate the performance of our various search ranking systems,” and states plainly that the guidelines “don’t directly influence ranking.” That is a specific, important distinction: raters use E-E-A-T to judge whether Google’s systems are behaving as intended, which is a different mechanism than a page’s content being scored against an E-E-A-T value at query time.

“Built to reward” is looser than “a scored input.” Google’s own materials, including its helpful content documentation, describe E-E-A-T as qualities that Google’s ranking systems are “built to reward” through other, separately named and measurable signals - links, reputation signals, and content-quality indicators among them. That phrasing avoids both extremes: it is not “E-E-A-T does nothing,” and it is not “E-E-A-T is a ranking factor with a number attached.”

What Google’s structured data documentation says about author markup#

Google’s Article structured data documentation states that Article markup, which covers Article, NewsArticle and BlogPosting types, has no required properties at all - only recommended ones, and author is one of several recommended fields alongside headline, image, and date properties.

The stated purpose is display, not ranking. The documentation says this markup can help Google “understand more about the web page and show better title text, images, and date information for the article in search results.” Nowhere does it say author markup, or Article markup generally, moves a page’s position in results.

Google explicitly disclaims a ranking guarantee. The same documentation states outright that Google “does not guarantee that features that consume structured data will show up in search results.” That single sentence covers author markup along with every other recommended property on the page: adding it makes a page eligible for certain display treatments, not entitled to them, and says nothing about ranking position either way.

Why we care#

Publishers can verify two things independently, and should treat them differently. First: Google’s own statements, quoted above, are checkable and consistent - E-E-A-T is a rater-guideline concept the company has repeatedly said is not a scored ranking factor, and author schema markup is documented as a display aid with an explicit no-guarantee disclaimer, not a ranking lever. Second: the specific percentages circulating around both topics - an 8% or 24% E-E-A-T weight, a 40% AI-citation penalty for missing bylines - are marketing content dressed as research, and neither traces to a source worth citing. The practical guidance that survives this is unglamorous: publish real author bios with verifiable credentials because that is good practice and matches what Google’s raters are told to look for, add Article and Person schema because it is free and may earn display features, and do not repeat a specific percentage about either one unless you can find - and link to - the study yourself.