- Google has updated its official guidelines for sites: fake author profiles (AI photos, made-up names, fake 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 affects anyone who has published content with convenience authors, even if the writing is high quality.
- Auditing the author profiles on your site is the first concrete action to put on your agenda.
As of October 1, 2026, Google has put it in black and white in its official guidelines for webmasters: using AI-generated photos, made-up names or fake credentials to make content look like it was written by a human expert is deception. And deception lowers your ranking.
Why this update changes something concrete
Until September 2025, Google's guidance on fake author profiles was reserved for its internal reviewers — people hired to assess the quality of web pages. Since October 1, that same guidance has made its way into the official guidelines for site owners: the document Google uses to explain how to build useful, reliable content.
The difference isn't just a formality. When a rule moves from human reviewers to public guidelines, it means Google is telling its automated systems to take it into account. Put simply: it's no longer just one person's subjective judgment, but a criterion the algorithm can apply at scale.
What Google's new text says exactly
The new section appears in the “Who created the content” part of the page on helpful content. Google writes that using AI-generated photos, made-up names or fake credentials to make an article look like it was written by a human expert is “a form of deception.” It adds that any form of deception makes a page untrustworthy to both users and automated quality systems, and is “a signal of a low-quality page.”
This applies even if the content itself is well written. The problem isn't the text: it's the fictitious identity behind the byline. A medical article signed by an imaginary doctor with an AI-generated photo is deceptive even if the information is correct.
It's worth remembering that, as already reported in 2024, Google has made it clear that bylines (the author names at the bottom of articles) don't improve ranking on their own. The point isn't having a byline: it's making sure that byline isn't fake.
Who is really at risk — and why it's not just a problem for big newsrooms
Picture a company running a corporate blog that, over the past two years, has published dozens of articles signed by “experts” created ad hoc: plausible names, stock or AI-generated photos, bios with professional titles that were never verified. It's a widespread practice, often born from a wish to lend credibility to content without involving real professionals.
With this update, those profiles become an active risk. Google may not penalize every site tomorrow morning, but the direction is clear: automated systems now have an explicit criterion for treating these pages as less trustworthy. Over time, that translates into lower positions in search results — and less organic traffic (that is, visitors who arrive without paid advertising).
This topic is part of a broader picture we're following in the SEO and AI visibility cluster: Google is raising the bar on trust on several fronts at once. 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 everything that means for anyone who wants to stay visible. The expansion of AI Overviews points 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 with users and with 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. All it takes is a systematic review of your site's author pages and the bylines on your articles. The goal is to answer three questions for every author: Does this person really exist? Is the photo real? Can the listed credentials be verified?
If the answer to any of these questions is no — or you don't know — you have a problem to fix before Google spots it. The simplest solution is to attribute content to real people at your company, even if they aren't “experts” in the academic sense: a sales manager writing about sales is more credible than an imaginary doctor writing about health. Alternatively, you can state clearly that the content is produced by your in-house editorial team, without faking an individual byline.
If you manage your site's SEO strategy or work with an agency, now is the time to put the author audit on next month's agenda — not as a theoretical exercise, but as a concrete risk check.
What to check on your site right now
- List all the authors on your site: check that every name matches a real, traceable person.
- Check profile photos: if they're AI-generated or taken from generic stock libraries, replace them with real photos or remove them.
- Verify author bios: every credential listed (professional title, certification, role) must be true and verifiable.
- Review articles published with convenience authors over the past two years: decide whether to update the byline or attribute them to the editorial team.
- Align your editorial process: set an internal rule that every future piece has a real author or a transparent editorial byline.
- Keep an eye on Google's guidelines: the documentation updates page is where Google announces changes — keep it on your radar.
Frequently Asked Questions
No, not directly. The problem Google flagged isn't using AI to produce text, but using fake identities to make content look like it was written by a human expert who doesn't exist. If the author is real and the byline is authentic, there's no deception.
Google has stated that fake profiles are a low-quality signal for its automated systems, but it hasn't specified how or when it will act. The risk is real and growing: it's better to fix things now than to wait for a penalty.
The priority is to stop the practice right away and not add any new content with fake authors. For articles already published, consider transparently attributing them to your in-house editorial team or updating them with real bylines. You don't need to delete them, but you do need to make them honest.
Google has made it clear that bylines — the author names on articles — are not a direct ranking factor on their own. The value of an author page lies in the trust it conveys: a real author with verifiable credentials builds confidence, but it's not a shortcut to climbing the rankings.
A made-up author isn't a style problem: it's a lie that Google has decided to measure.
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