- Google has updated its official site guidelines: fake author profiles (AI photos, made-up names, false credentials) are now classified as deception and a low-quality signal.
- Google's automated systems — not just human reviewers — can use this as a criterion to lower a page's position in search results.
- The update concerns anyone who has published content with convenient authors, even if the texts are of good quality.
- Auditing author profiles on the site is the first concrete action to put on the agenda.
From October 1, 2026, Google has written in black and white in its official guidelines for webmasters: using AI-generated photos, made-up names, or fake credentials to make content appear written by a human expert is deception. And deception lowers rankings.
Why this update changes something concrete
Until September 2025, Google's guidelines on fake author profiles were reserved for internal reviewers — people hired to assess the quality of web pages. From October 1st, that same guideline has entered the Official guidelines for site owners : the document that Google uses to explain how to build useful and reliable content.
The difference isn't formal. When a rule moves from human reviewers to public guidelines, it means Google is telling its automated systems to take it into account. In simple terms: it's no longer just a subjective judgment by a person, but a criterion that the algorithm can apply at scale.
What Google's new text says exactly
The new section is located in the “Who created the content” part of the page dedicated to helpful content. Google writes that using AI-generated photos, made-up names, or fake credentials to make an article seem written by a human expert is “a form of deception.” It adds that any form of deception makes a page untrustworthy for both users and automatic quality systems, and it is “a signal of a low-quality page.”
This also applies if the content itself is well-written. The problem isn't the text: it's the fictitious identity that signs it. A medical article signed by an imaginary doctor with an AI-generated photo is misleading even if the information is correct.
It's worth remembering that, as already reported in 2024 , Google has clarified that bylines alone do not improve rankings. The point isn't having a byline: it's that the byline isn't fake.
Who is really at risk — and why it's not just a problem for large newsrooms
Let's consider a company that manages a corporate blog and, over the last two years, has published dozens of articles signed by "experts" created specifically for this purpose: plausible names, stock photos or AI-generated ones, bios with professional titles that were never verified. It's a common practice, often born out of a desire to lend credibility to content without having to involve real professionals.
With this update, those profiles become an active risk. It's not guaranteed that Google will penalize every site tomorrow morning, but the direction is clear: automated systems now have an explicit criterion to treat these pages as less reliable. Over time, this translates into lower positions in search results — and less organic traffic (i.e., visitors who arrive without paying for ads).
The topic fits into a broader context that we are following in the cluster SEO and visibility for AI : Google is raising the bar for reliability on multiple fronts simultaneously. We've already seen how Google is pushing for fact-checking of AI content before publication and how a third of the web is now written by AI , with all that this implies for those who want to remain visible. Also the issue of AI Overviews expanding pushes in the same direction: Google wants verifiable sources, not anonymous content or content signed by ghosts.
For us, technology is a useful tool — but using it to build fake identities is exactly the kind of shortcut that erodes trust, both from users and algorithms. Quality content always has a real author behind it, even when AI helps produce it.
How to audit author profiles without getting lost
The audit doesn't require sophisticated tools. A systematic review of the site's author pages and article bylines is enough. The goal is to answer three questions for each author present: does this person really exist? Is the photo real? Are the listed credentials verifiable?
If the answer to any of these questions is no — or you don’t know — you have a problem to solve before Google detects it. The simplest solution is to attribute content to real people in the company, even if they aren’t “experts” in the academic sense: a sales manager writing about sales is more credible than a fictional doctor writing about health. Alternatively, you can clearly indicate that the content is produced by the internal editorial team, without faking an individual signature.
If you manage the SEO Strategy whether it's your site or you work with an agency, now is the time to put author audits on next month's agenda — not as a theoretical exercise, but as a concrete risk check.
What to check on your site immediately
- List all authors present on the site: verify that each name corresponds to a real and traceable person.
- Check profile photos: if they are AI-generated or taken from generic stock photo banks, replace them with real photos or remove them.
- Verify author bios: every credential indicated (professional title, certification, role) must be true and verifiable.
- Check articles published with convenient authors in the last two years: evaluate whether to update the byline or attribute them to the editorial team.
- Align the editorial process: establish an internal rule that every future piece of content has a real author or a transparent editorial byline.
- Monitor Google guidelines: the Documentation updates page is where Google communicates changes — keep an eye on it.
Frequently Asked Questions
No, not directly. The problem highlighted by Google isn't the use of AI to produce texts, but the use of false identities to make the content seem written by a human expert who doesn't exist. If the author is real and the signature is authentic, there's no deception.
Google has stated that fake profiles are a low-quality signal for its automated systems, but hasn't specified how or when it will intervene. The risk is real and growing: it's better to correct now than to wait for a penalty.
The priority is to stop the practice immediately and not add new content with fake authors. For those already published, consider attributing them to the internal editorial team transparently or updating them with real bylines. It's not necessary to delete them, but making them honest is.
Google has clarified that bylines alone are not a direct ranking factor. The value of an author page lies in the trustworthiness it conveys: a real author with verifiable credentials strengthens trust, but it's not a shortcut to climb the rankings.
A made-up author is not a style problem: it's a lie that Google has decided to measure.
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