In a 2026 refresh of its documentation, Google tightened two different things about AI content on the same day, and the pair is easy to run together wrongly. First, it added explicit wording to its generative-AI guidance that publishers must manually fact-check and review all AI-generated content for accuracy before publishing — and named the metadata (title elements, meta descriptions, structured data, and image alt text) as content that gets the same review, because all of it can surface in Search. Second, in the separate helpful-content guidance aimed at site owners, it spelled out that fabricating a creator profile — an AI-generated headshot, a made-up name, false credentials dressed up to look like a human expert — is a form of deception and a signal of a low-quality page. Neither change created a new penalty or a new ranking system. What changed is specificity: two habits that were implied in years of "helpful content" messaging are now written down, which makes them the bar an auditor, a rater, or an automated quality system can point at. This guide separates the two rules, explains why the fake-author line is sharper than it looks, walks the Who/How/Why author test Google actually uses, and lays out what both mean for anyone producing AI-assisted content at volume — including the line between a legitimate branded persona and a fake human, which is exactly where a lot of AI publishing is about to get caught.
Home / Guides / Google on AI content and fake authors (2026): the two rules that actually changed — fact-check everything, and never fabricate a human expert Contents
The short version Rule one: fact-check everything — and "everything" includes the metadata Rule two: do not fabricate an author Why the fake-author line is sharper than it looks What a real author looks like to Google The branded-persona line: legitimate voice versus fake human No new penalty — but a clearer bar for "effort" What this means if you publish AI content at volume Where Kompozy fits: a real brand identity, and review before publish The bottom line The short version Two of Google's documentation pages got sharper about AI content in a 2026 refresh, and because the coverage landed together, they are easy to blur into one story. They are not the same rule. One is about accuracy: fact-check everything a model wrote, the metadata included, before it goes live. The other is about honesty of authorship: do not invent a human author to make AI content look more trustworthy than it is. The first lives in Google's guidance on using generative-AI content; the second lives in its helpful-content guidance for site owners, in the section about who created the content.
Neither change is a new penalty, a new algorithm , or a ban on AI writing — Google's position that it judges content on quality rather than on whether a machine helped make it has not moved. What changed is that two expectations which had been implied for years are now written down in plain words, which makes them the specific bar a quality rater, an SEO auditor, or an automated system can point at. This guide takes the two rules one at a time, then handles the part most likely to catch publishers off guard: the line between a legitimate branded persona and a fabricated human expert. For the standard of writing that clears both bars, the companion pieces are AI SEO writing and making AI content not look like AI .
Google's generative-AI content guidance now says, in its own words, that it is "critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing." The sentence reads like common sense, and that is the point — it had been implied in Google's broader helpful-content messaging for a long time, and the update simply writes it down as documentation. The stated reasoning is a flat description of how the models work: generative systems do not retrieve facts, they predict a likely sequence of words from their training data, so the output "may contain inaccuracies (also known as hallucinations)."
The consequence worth internalizing is that fluency is not accuracy. A model can state a wrong date, a wrong price, or an invented statistic in a confident, perfectly-written sentence, and nothing about the prose signals that it is false. The only reliable fix is a human reading the specific claims against a source — which is slow, and which is precisely the part an AI workflow tends to skip because generation feels finished. The verification is the work now; the drafting is the easy part. That inversion is covered in the news report on Google's fact-check guidance .
The metadata is the quiet half of this rule The detail that makes this update more than a restatement is scope. Google explicitly extended the review to "metadata like
elements, meta description elements, structured data, and alternate texts for images, which can appear in Search results." Those are the fields most often generated in bulk and least often re-read. A title, a SERP snippet, a schema field, an alt attribute — these get auto-filled across dozens of pages and rarely get the same scrutiny as the body. By naming them, Google closed the loophole where a publisher fact-checks the article and lets a model silently write the parts that actually show up in search. If it can surface in results and a model produced it, it needs the same human check.</p><h2 id="rule-two-do-not-fabricate-an-author">Rule two: do not fabricate an author</h2><p>The second change is in a different document — the helpful-content guidance aimed at site owners — and it is blunt. Google now states: "Fabricating creator profiles (such as by using AI-generated headshots, made-up names, or false credentials to make content appear as if it was written by human experts) is a form of deception." It follows with the consequence: "Any form of deception makes a page untrustworthy to both users and our automated quality systems, and is a signal of a low-quality page."</p><p>This sits inside the part of the guidance that asks who created the content, which is where Google has long advised that pages carry a byline where one is expected, and that the byline lead somewhere real — background on the author and the areas they actually cover. The fake-author line is the inverse of that advice made explicit. It is not aimed at AI assistance in general; it is aimed at the specific practice of manufacturing a human expert who does not exist, so that AI-written or thinly-sourced content can borrow the trust a real, credentialed person would carry. The new wording aligns with thinking that already lived in Google's quality-rater guidelines; the refresh moved it into the documentation site owners read.</p><h2 id="why-the-fake-author-line-is-sharper-than-it-looks">Why the fake-author line is sharper than it looks</h2><p>On the surface the warning seems to target an obvious bad actor — the content farm spinning up invented bylines with stock-style AI faces. But the practice has crept into ordinary marketing. Plenty of sites invent a plausible-sounding staff writer, generate a headshot, attach a sentence of made-up biography, and run AI drafts under that name because it looks more credible than "Admin" or no byline at all. Under the new wording, that is the exact pattern Google is naming as deception. The intent to appear human-expert-authored is what makes it a problem, not the use of AI to help write.</p><p>There is also a measurement angle. Google says deception makes a page untrustworthy to its automated quality systems — meaning the harm is not only a hypothetical manual action but a standing signal that can weigh on how the page is assessed. A fabricated author is a liability that attaches to the page's trust profile, and it is the kind of thing that is easy to add in a hurry and awkward to walk back once a site has dozens of posts under a name that was never real.</p><h2 id="what-a-real-author-looks-like-to-google">What a real author looks like to Google</h2><p>The constructive read of both rules is that Google is asking for the same thing it has asked for all along, stated more precisely: content that is accurate and transparently attributed. The helpful-content framework still turns on three questions — who created the content, how it was created, and why. "Who" wants a genuine, identifiable author or organization, with a byline that leads to real background rather than a dead end. "How" wants honesty about process, including whether automation or AI was involved where that would not otherwise be self-evident. "Why" wants content made to help people rather than to game search.</p><p>Practically, a real author is a person or a clearly-named organization that actually stands behind the claims, with a bio a reader can verify and a reason to be trusted on the topic. Disclosure of AI assistance is not a confession that lowers your standing — Google treats AI-assisted content as fine when it is useful and accurate — it is part of being transparent about how the content was made. The move that gets penalized is the opposite: hiding thin or unverified work behind a human mask. If you are using AI, the honest options are to attribute the content to the real person who directed and verified it, or to the organization publishing it, and to disclose the automation where it matters. The one option that is now explicitly off the table is inventing a human who does not exist. The broader strategy for attribution in an AI-writing-is-normal web is in <a href="/guides/ai-content-authorship-and-labeling">AI content authorship and labeling</a>.</p><h2 id="the-branded-persona-line-legitimate-voice-versus-fake-human">The branded-persona line: legitimate voice versus fake human</h2><p>This is where a lot of AI publishing is about to get confused, so it is worth drawing the line cleanly. A branded persona — a named, consistent voice with a defined style and personality, attached to a real business — is legitimate. Brands have run named mascots, columns, and house voices for a century. What turns a persona into deception is a specific claim: posing as a particular real, living human expert who does not exist, with a fabricated face and fabricated credentials, specifically to imply expertise that was never there. The character is fine; the false claim of a human expert behind it is not.</p><p>The same distinction shows up in how honest AI products are built. A <a href="/glossary/non-impersonation-prompt">non-impersonation prompt</a> is the standard technique for keeping a model from passing itself off as a person — keep the brand character, drop the false claim of humanity. Google's fake-author rule is the publishing-side version of that principle: you can have a persona, you cannot manufacture a fake human. The practical test is simple. Ask whether a reader who learned the full truth about who made this content and how would feel deceived. A disclosed brand voice passes. An invented staff writer with an AI headshot does not.</p><h2 id="no-new-penalty-but-a-clearer-bar-for-effort">No new penalty — but a clearer bar for "effort"</h2><p>It is worth being precise about what did not happen, because the opposite gets reported constantly. Google did not announce a new ranking signal, a new penalty, or a crackdown specific to AI. Its longstanding position holds: content is judged on quality, originality, and usefulness, and AI involvement is not itself a demerit. The scaled-content-abuse spam policy — mass-producing pages with little added value — is unchanged, and so are the relevant quality-rater sections.</p><p>What both updates do is make the "effort" expectation concrete. A page of unverified AI output with a fabricated byline is close to the textbook description of low effort and low originality that Google maps to its spam thinking. Before these refreshes, a publisher could argue the expectations were vague. Now they are written down, and "we didn't know we had to check the metadata" or "we thought a made-up byline was harmless" are no longer defensible positions. The downside risk did not get a new name; it got a clearer definition.</p><h2 id="what-this-means-if-you-publish-ai-content-at-volume">What this means if you publish AI content at volume</h2><p>The uncomfortable arithmetic is that both rules add human steps to a workflow whose entire appeal was removing them. If every draft and its metadata needs a human to read it against a source, and every page needs a real, attributable author, then the throughput of an AI content operation is bounded by review capacity, not by generation speed. The teams that stay safe are the ones that treat the review stage as the real production line and build it to be fast, not the ones that treat generation as the finish line.</p><p>That reframes the tooling question. The valuable capability is no longer "how many drafts can it produce" — that problem is solved — but "how efficiently can a human verify and attribute what it produced before anything ships." A workflow that surfaces the body copy and its metadata together, keeps a consistent voice so the reviewer is checking facts instead of rewriting tone, holds everything behind an explicit approval gate, and attaches output to a real identity rather than a fabricated one is a workflow built for exactly the bar Google just wrote down.</p><h2 id="where-kompozy-fits-a-real-brand-identity-and-review-before-publish">Where Kompozy fits: a real brand identity, and review before publish</h2><p><a href="/">Kompozy</a> is a full AI content generation and multi-platform publishing engine, and the reason it sits naturally on the right side of both rules is a design choice about identity. Its <a href="/glossary/persona-shorts">AI Influencer Persona</a> system is a transparent, brand-owned voice — a persona tied to your actual business and account, governed by a <a href="/glossary/persona-brief">Persona Brief</a> that holds your voice, style, and prohibited claims. That is the legitimate-persona side of the line Google drew, not the fabricated-human side: Kompozy does not mint a fake staff writer with an invented headshot and false credentials to dress AI output as human expertise. The content attributes to the real person or organization behind the account, and disclosing that AI is part of the process stays your call to make openly.</p><p>The accuracy rule is handled by where Kompozy puts the human. Every generated piece — <a href="/glossary/output-buckets">blog articles, newsletters, text posts</a>, and the images and carousels that carry titles and alt text — routes into a per-post review pipeline instead of straight to the platform, so the "manually fact-check before publishing" checkpoint is the default path rather than a discipline you have to remember. The review surface shows the draft and its metadata together, which is the concrete answer to Google naming titles, meta descriptions, and alt text: they get seen and checked, not auto-filled and forgotten. Honest limit, stated plainly: Kompozy does not fact-check for you, because the whole point of Google's note is that the model cannot verify itself. What it does is make the human review realistic at volume — consistent voice so the reviewer checks facts rather than tone, one approval gate before anything ships, and <a href="/glossary/autopilot">autopilot</a> scheduling reserved for batches you have already approved.</p><h2 id="the-bottom-line">The bottom line</h2><p>Google did not ban AI content or invent a new punishment for it. It wrote down two things it already expected: verify what a model produces — body and metadata — before you publish it, and never invent a human author to make that content look more trustworthy than it is. The accuracy rule exists because fluency is not truth. The authorship rule exists because a byline is a trust signal, and faking one is deception. Both point the same direction: use AI to draft fast, keep a real human accountable for what is true and who said it, and treat the review-and-attribution step not as overhead but as the part of an AI content workflow that actually protects you.</p><h2 id="faq">Frequently asked questions</h2><div class="speakable-faq"><div style="margin-bottom:1.25rem;border-top:1px solid var(--c-border);padding-top:1rem"><h3 style="font-size:1rem;font-weight:600;margin:0 0 0.5rem">What did Google say about fake authors?</h3><p style="margin:0">In its helpful-content guidance for site owners, Google wrote that "fabricating creator profiles (such as by using AI-generated headshots, made-up names, or false credentials to make content appear as if it was written by human experts) is a form of deception." It added that "any form of deception makes a page untrustworthy to both users and our automated quality systems, and is a signal of a low-quality page." The warning sits in the "Who created the content" part of the guidance, alongside Google's long-standing advice that pages carry a real byline that leads to genuine background on the author.</p></div><div style="margin-bottom:1.25rem;border-top:1px solid var(--c-border);padding-top:1rem"><h3 style="font-size:1rem;font-weight:600;margin:0 0 0.5rem">Does Google require you to fact-check AI content before publishing?</h3><p style="margin:0">Yes, as written guidance. Google's generative-AI content page now states it is "critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing," and that this review also applies to metadata — title elements, meta descriptions, structured data, and image alt text — because those can appear in Search results. The stated reason is that generative models predict a likely sequence of words rather than retrieve facts, so outputs may contain inaccuracies, or hallucinations. The fact-check is a human job; the model cannot verify itself.</p></div><div style="margin-bottom:1.25rem;border-top:1px solid var(--c-border);padding-top:1rem"><h3 style="font-size:1rem;font-weight:600;margin:0 0 0.5rem">Is a branded AI persona the same as a fake author?</h3><p style="margin:0">No, and the distinction is the whole point. A branded persona — a named, styled, consistent voice for a business — is legitimate as long as it does not pose as a specific real human expert who does not exist. What Google calls deception is the fabrication: an invented person with a synthetic headshot, a made-up name, and credentials designed to imply human expertise that was never there. You can run a consistent brand voice and disclose that AI is involved; you cross the line when you manufacture a fake human to borrow trust the content has not earned.</p></div><div style="margin-bottom:1.25rem;border-top:1px solid var(--c-border);padding-top:1rem"><h3 style="font-size:1rem;font-weight:600;margin:0 0 0.5rem">Did Google add a new penalty for AI content or fake authors?</h3><p style="margin:0">No. Neither the fact-check wording nor the fake-author wording introduced a new penalty or a new ranking system. The generative-AI page still points to Search Essentials and reiterates the existing scaled-content-abuse spam policy, and the fake-author line is a clarification within existing helpful-content and quality-rater thinking. The change is one of emphasis and specificity: two things Google already believed are now documented, which raises the stakes for skipping them.</p></div><div style="margin-bottom:1.25rem;border-top:1px solid var(--c-border);padding-top:1rem"><h3 style="font-size:1rem;font-weight:600;margin:0 0 0.5rem">Does the fact-check guidance really cover titles and alt text?</h3><p style="margin:0">Yes — Google named them explicitly. The review is not limited to body copy: title elements, meta description elements, structured data, and image alt text all count, because each can appear in Search results. These are exactly the fields creators most often let a model fill in bulk and rarely re-read, which is why Google called them out by name rather than leaving them under a general "review your content" instruction.</p></div></div><h2 id="direct-answer">The direct answer</h2><div class="speakable-direct-answer"><p>In a 2026 update, Google told publishers to manually fact-check every AI-generated draft — including titles, meta descriptions, structured data, and alt text — before publishing, because generative models predict words rather than retrieve facts. In separate helpful-content guidance it warned that fabricating an author with an AI headshot, a made-up name, or false credentials is deception and a signal of a low-quality page. 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0;width:50vw;height:100%;position:relative;overflow:hidden}.radial-glow{z-index:-1;pointer-events:none;background:radial-gradient(circle,#d97e0e2e 0,#d97e0e14 35%,#fafaf700 70%);width:120vh;height:120vh;position:absolute;top:50%;left:50%;transform:translate(-50%,-50%)}[data-theme=dark] .radial-glow{background:radial-gradient(circle,#0a0a0cf2 0,#111114b3 35%,#0a0a0c00 70%)}#nexus-canvas{width:100%;height:100%;display:block}.hud-label{-webkit-backdrop-filter:blur(10px);backdrop-filter:blur(10px);font-family:var(--font-mono);color:var(--c-text);letter-spacing:.05em;z-index:20;pointer-events:none;white-space:nowrap;background:#ffffffb3;padding:8px 14px;font-size:.65rem;position:absolute}[data-theme=dark] .hud-label{background:#17171bbf}.dot-green{background-color:var(--brand-success);width:6px;height:6px;box-shadow:0 0 8px var(--brand-success);border-radius:50%;margin-right:6px;display:inline-block;transform:translateY(-1px)}.section{border-top:1px solid 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.85rem!important;font-size:16px!important}.admin-mobile\u003ediv[style*=\"display: flex\"][style*=\"gap: 1.5rem\"]{flex-direction:column!important}.admin-mobile\u003ediv[style*=\"display: flex\"][style*=\"gap: 1.5rem\"]\u003ediv{flex:100%!important;width:100%!important}.admin-mobile div[style*=\"flex: 0 0 400px\"]{flex:100%!important}.admin-mobile div[style*=\"position: sticky\"]{position:static!important;top:auto!important}.admin-mobile button{min-height:44px;font-size:.75rem!important}.admin-mobile button[style*=\"padding: 1px\"],.admin-mobile button[style*=\"padding: 2px\"]{min-height:36px;padding:6px 10px!important;font-size:.65rem!important}.admin-mobile div[style*=\"flex-wrap: wrap\"]{gap:.4rem!important}.admin-mobile div[style*=\"position: fixed\"][style*=\"top: 2rem\"][style*=\"right: 2rem\"]{text-align:center;padding:.85rem 1rem!important;font-size:.75rem!important;inset:auto 1rem 1rem!important}.admin-mobile div[style*=\"border: 2px solid 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.auth-topbar{z-index:20;justify-content:space-between;align-items:center;display:flex;position:absolute;top:2rem;left:2rem;right:2rem}.auth-shell .auth-topbar-brand{align-items:center;gap:14px;display:flex}.auth-shell .auth-topbar-divider{background:var(--c-border);width:1px;height:22px;display:inline-block}.auth-shell .auth-topbar-sublogo,.auth-shell .auth-topbar-toggle{align-items:center;display:inline-flex}@media (max-width:640px){.auth-shell{gap:1rem;flex-direction:column!important;justify-content:flex-start!important;align-items:stretch!important;padding:1rem .75rem!important}.auth-shell .auth-topbar{width:100%;padding:.25rem 0 .5rem!important;position:static!important}.auth-shell .auth-topbar-divider,.auth-shell .auth-topbar-sublogo{display:none!important}.auth-shell .auth-topbar-brand{gap:0!important}.auth-shell .auth-card{width:100%!important;max-width:100%!important;margin-top:0!important;padding:1.75rem 1.25rem!important}.auth-shell .auth-card .headline{font-size:1.85rem!important}.auth-shell .auth-card .description{margin-bottom:1.5rem!important}.auth-shell input{max-width:100%;font-size:16px!important}}@media (max-width:768px){.app-chrome .chrome-right .chip:not(.chip-accent),.app-chrome .chrome-right .chrome-icon-btn[aria-label=Help],.app-chrome .chrome-right .chrome-icon-btn[aria-label=Settings],.app-chrome .chrome-right .chrome-theme-toggle{display:none}.app-chrome .chrome-right{flex-wrap:nowrap;gap:6px}.app-chrome .chrome-right .chip-accent{min-height:36px;padding:6px 10px;font-size:.7rem}.app-chrome .chrome-left a\u003espan:nth-child(2),.app-chrome .chrome-left a\u003espan:nth-child(3){display:none}.app-chrome .chrome-left a{gap:0!important}.pipeline-page .headline.pipeline-title{margin-bottom:1.5rem!important;font-size:1.65rem!important}.pipeline-page div[style*=\"flex: 0 0 110px\"],.pipeline-page div[style*=\"flex: 0 0 160px\"],.pipeline-page div[style*=\"flex: 0 0 170px\"],.pipeline-page div[style*=\"flex: 0 0 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1.5rem!important}.overline{letter-spacing:.08em!important;margin-bottom:1rem!important;font-size:.62rem!important}.headline{margin-bottom:1.25rem!important;font-size:clamp(2rem,9vw,2.6rem)!important;line-height:1.1!important}.description{color:var(--c-text-muted,#a8a8a8);font-family:var(--font-sans,system-ui,-apple-system,sans-serif)!important;max-width:100%!important;margin-bottom:1.75rem!important;font-size:.95rem!important;line-height:1.55!important}.actions{gap:.75rem!important}.actions .btn-solid{color:var(--c-text,#fff)!important;border:1px solid var(--c-border,#ffffff2e)!important;font-size:.85rem!important;font-family:var(--font-mono)!important;letter-spacing:.08em!important;text-transform:uppercase!important;box-shadow:none!important;background:0 0!important;border-radius:10px!important;padding:14px 24px!important}.right-pane{height:40vh!important}.hero-scroll-cue,.hud-pill,.live-hud-pills,[class*=HudPill]{display:none!important}#demo.section{padding:3rem 1rem!important}#demo .section-headline{font-size:clamp(1.6rem,7vw,2.1rem)!important;line-height:1.15!important}.demo-split-left{height:auto!important;max-height:none!important}.demo-split-right{flex:none!important;height:clamp(440px,70vh,560px)!important;max-height:clamp(440px,70vh,560px)!important}.demo-split{--demo-split-h:auto!important}.hd-engine-preview-pill{letter-spacing:.05em!important;padding:2px 5px!important;font-size:.5rem!important}.hd-engine-head{flex-wrap:nowrap!important;gap:6px!important}.hd-engine-name{min-width:0;font-size:.78rem!important}.hd-engine-example{display:none!important}.hd-engines{grid-template-columns:repeat(2,minmax(0,1fr))!important;gap:6px!important}.hd-queue-meta{display:none!important}.hd-footer{flex-direction:column!important;align-items:flex-start!important;gap:4px!important;padding:10px 12px!important}.hd-cred,.hd-status{font-size:.68rem!important;line-height:1.4!important}.hd-brief,.hd-source-row,.hd-stage{padding:10px 12px!important}.hd-stage-label{letter-spacing:.06em!important;font-size:.6rem!important}.hero-demo-caption{padding:0 .5rem;font-size:.7rem!important}.platform-grid{grid-template-columns:repeat(2,1fr)!important;gap:10px!important}.platform-card{text-align:left!important;border-radius:14px!important;flex-direction:row!important;justify-content:flex-start!important;align-items:center!important;gap:.6rem!important;min-height:0!important;padding:.6rem .75rem!important;display:flex!important}.platform-card .p-plat-icon{margin:0!important}.platform-card .plat-logo{width:24px!important;height:24px!important;margin:0!important}.platform-card h4{margin:0!important;font-size:.95rem!important}.platform-card\u003ediv:not(.p-plat-icon){display:none!important}.section{padding:3rem 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human\"}]}],[\"$\",\"li\",\"no-new-penalty-but-a-clearer-bar-for-effort\",{\"style\":{\"margin\":\"0.25rem 0\"},\"children\":[\"$\",\"a\",null,{\"href\":\"#no-new-penalty-but-a-clearer-bar-for-effort\",\"children\":\"No new penalty — but a clearer bar for \\\"effort\\\"\"}]}],[\"$\",\"li\",\"what-this-means-if-you-publish-ai-content-at-volume\",{\"style\":{\"margin\":\"0.25rem 0\"},\"children\":[\"$\",\"a\",null,{\"href\":\"#what-this-means-if-you-publish-ai-content-at-volume\",\"children\":\"What this means if you publish AI content at volume\"}]}],[\"$\",\"li\",\"where-kompozy-fits-a-real-brand-identity-and-review-before-publish\",{\"style\":{\"margin\":\"0.25rem 0\"},\"children\":[\"$\",\"a\",null,{\"href\":\"#where-kompozy-fits-a-real-brand-identity-and-review-before-publish\",\"children\":\"Where Kompozy fits: a real brand identity, and review before publish\"}]}],[\"$\",\"li\",\"the-bottom-line\",{\"style\":{\"margin\":\"0.25rem 0\"},\"children\":[\"$\",\"a\",null,{\"href\":\"#the-bottom-line\",\"children\":\"The bottom line\"}]}]]}]]}]\n"])</script><script>self.__next_f.push([1,"22:[\"$\",\"h2\",\"0\",{\"id\":\"the-short-version\",\"children\":\"The short version\"}]\n23:[\"$\",\"p\",\"1\",{\"dangerouslySetInnerHTML\":{\"__html\":\"Two of Google's documentation pages got sharper about AI content in a 2026 refresh, and because the coverage landed together, they are easy to blur into one story. They are not the same rule. One is about accuracy: fact-check everything a model wrote, the metadata included, before it goes live. The other is about honesty of authorship: do not invent a human author to make AI content look more trustworthy than it is. The first lives in Google's guidance on using generative-AI content; the second lives in its helpful-content guidance for site owners, in the section about who created the content.\"}}]\n24:[\"$\",\"p\",\"2\",{\"dangerouslySetInnerHTML\":{\"__html\":\"Neither change is a new penalty, a new \u003ca href=\\\"/glossary/algorithm\\\" class=\\\"glossary-link\\\"\u003ealgorithm\u003c/a\u003e, or a ban on AI writing — Google's position that it judges content on quality rather than on whether a machine helped make it has not moved. What changed is that two expectations which had been implied for years are now written down in plain words, which makes them the specific bar a quality rater, an SEO auditor, or an automated system can point at. This guide takes the two rules one at a time, then handles the part most likely to catch publishers off guard: the line between a legitimate branded persona and a fabricated human expert. For the standard of writing that clears both bars, the companion pieces are \u003ca href=\\\"/guides/ai-seo-writing\\\"\u003eAI SEO writing\u003c/a\u003e and \u003ca href=\\\"/guides/ai-content-not-look-like-ai\\\"\u003emaking AI content not look like AI\u003c/a\u003e.\"}}]\n25:[\"$\",\"h2\",\"3\",{\"id\":\"rule-one-fact-check-everything-and-everything-includes-the-metadata\",\"children\":\"Rule one: fact-check everything — and \\\"everything\\\" includes the metadata\"}]\n26:[\"$\",\"p\",\"4\",{\"dangerouslySetInnerHTML\":{\"__html\":\"Google's generative-AI content guidance now says, in its own words, that it is \\\"critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing.\\\" The sentence reads like common sense, and that is the point — it had been implied in Google's broader helpful-content messaging for a long time, and the update simply writes it down as documentation. The stated reasoning is a flat description of how the models work: generative systems do not retrieve facts, they predict a likely sequence of words from their training data, so the output \\\"may contain inaccuracies (also known as hallucinations).\\\"\"}}]\n27:[\"$\",\"p\",\"5\",{\"dangerouslySetInnerHTML\":{\"__html\":\"The consequence worth internalizing is that fluency is not accuracy. A model can state a wrong date, a wrong price, or an invented statistic in a confident, perfectly-written sentence, and nothing about the prose signals that it is false. The only reliable fix is a human reading the specific claims against a source — which is slow, and which is precisely the part an AI workflow tends to skip because generation feels finished. The verification is the work now; the drafting is the easy part. That inversion is covered in the news report on \u003ca href=\\\"/news/google-fact-check-ai-content-before-publishing\\\"\u003eGoogle's fact-check guidance\u003c/a\u003e.\"}}]\n28:[\"$\",\"h3\",\"6\",{\"children\":\"The metadata is the quiet half of this rule\"}]\n29:[\"$\",\"p\",\"7\",{\"dangerouslySetInnerHTML\":{\"__html\":\"The detail that makes this update more than a restatement is scope. Google explicitly extended the review to \\\"metadata like \u003ctitle\u003e elements, meta description elements, structured data, and alternate texts for images, which can appear in Search results.\\\" Those are the fields most often generated in bulk and least often re-read. A title, a SERP snippet, a schema field, an alt attribute — these get auto-filled across dozens of pages and rarely get the same scrutiny as the body. By naming them, Google closed the loophole where a publisher fact-checks the article and lets a model silently write the parts that actually show up in search. If it can surface in results and a model produced it, "])</script><script>self.__next_f.push([1,"it needs the same human check.\"}}]\n2a:[\"$\",\"h2\",\"8\",{\"id\":\"rule-two-do-not-fabricate-an-author\",\"children\":\"Rule two: do not fabricate an author\"}]\n2b:[\"$\",\"p\",\"9\",{\"dangerouslySetInnerHTML\":{\"__html\":\"The second change is in a different document — the helpful-content guidance aimed at site owners — and it is blunt. Google now states: \\\"Fabricating creator profiles (such as by using AI-generated headshots, made-up names, or false credentials to make content appear as if it was written by human experts) is a form of deception.\\\" It follows with the consequence: \\\"Any form of deception makes a page untrustworthy to both users and our automated quality systems, and is a signal of a low-quality page.\\\"\"}}]\n2c:[\"$\",\"p\",\"10\",{\"dangerouslySetInnerHTML\":{\"__html\":\"This sits inside the part of the guidance that asks who created the content, which is where Google has long advised that pages carry a byline where one is expected, and that the byline lead somewhere real — background on the author and the areas they actually cover. The fake-author line is the inverse of that advice made explicit. It is not aimed at AI assistance in general; it is aimed at the specific practice of manufacturing a human expert who does not exist, so that AI-written or thinly-sourced content can borrow the trust a real, credentialed person would carry. The new wording aligns with thinking that already lived in Google's quality-rater guidelines; the refresh moved it into the documentation site owners read.\"}}]\n2d:[\"$\",\"h2\",\"11\",{\"id\":\"why-the-fake-author-line-is-sharper-than-it-looks\",\"children\":\"Why the fake-author line is sharper than it looks\"}]\n2e:[\"$\",\"p\",\"12\",{\"dangerouslySetInnerHTML\":{\"__html\":\"On the surface the warning seems to target an obvious bad actor — the content farm spinning up invented bylines with stock-style AI faces. But the practice has crept into ordinary marketing. Plenty of sites invent a plausible-sounding staff writer, generate a headshot, attach a sentence of made-up biography, and run AI drafts under that name because it looks more credible than \\\"Admin\\\" or no byline at all. Under the new wording, that is the exact pattern Google is naming as deception. The intent to appear human-expert-authored is what makes it a problem, not the use of AI to help write.\"}}]\n2f:[\"$\",\"p\",\"13\",{\"dangerouslySetInnerHTML\":{\"__html\":\"There is also a measurement angle. Google says deception makes a page untrustworthy to its automated quality systems — meaning the harm is not only a hypothetical manual action but a standing signal that can weigh on how the page is assessed. A fabricated author is a liability that attaches to the page's trust profile, and it is the kind of thing that is easy to add in a hurry and awkward to walk back once a site has dozens of posts under a name that was never real.\"}}]\n30:[\"$\",\"h2\",\"14\",{\"id\":\"what-a-real-author-looks-like-to-google\",\"children\":\"What a real author looks like to Google\"}]\n31:[\"$\",\"p\",\"15\",{\"dangerouslySetInnerHTML\":{\"__html\":\"The constructive read of both rules is that Google is asking for the same thing it has asked for all along, stated more precisely: content that is accurate and transparently attributed. The helpful-content framework still turns on three questions — who created the content, how it was created, and why. \\\"Who\\\" wants a genuine, identifiable author or organization, with a byline that leads to real background rather than a dead end. \\\"How\\\" wants honesty about process, including whether automation or AI was involved where that would not otherwise be self-evident. \\\"Why\\\" wants content made to help people rather than to game search.\"}}]\n32:[\"$\",\"p\",\"16\",{\"dangerouslySetInnerHTML\":{\"__html\":\"Practically, a real author is a person or a clearly-named organization that actually stands behind the claims, with a bio a reader can verify and a reason to be trusted on the topic. Disclosure of AI assistance is not a confession that lowers your standing — Google treats AI-assisted content as fine when it is useful and accurate — it is part of being transparent about how the con"])</script><script>self.__next_f.push([1,"tent was made. The move that gets penalized is the opposite: hiding thin or unverified work behind a human mask. If you are using AI, the honest options are to attribute the content to the real person who directed and verified it, or to the organization publishing it, and to disclose the automation where it matters. The one option that is now explicitly off the table is inventing a human who does not exist. The broader strategy for attribution in an AI-writing-is-normal web is in \u003ca href=\\\"/guides/ai-content-authorship-and-labeling\\\"\u003eAI content authorship and labeling\u003c/a\u003e.\"}}]\n33:[\"$\",\"h2\",\"17\",{\"id\":\"the-branded-persona-line-legitimate-voice-versus-fake-human\",\"children\":\"The branded-persona line: legitimate voice versus fake human\"}]\n34:[\"$\",\"p\",\"18\",{\"dangerouslySetInnerHTML\":{\"__html\":\"This is where a lot of AI publishing is about to get confused, so it is worth drawing the line cleanly. A branded persona — a named, consistent voice with a defined style and personality, attached to a real business — is legitimate. Brands have run named mascots, columns, and house voices for a century. What turns a persona into deception is a specific claim: posing as a particular real, living human expert who does not exist, with a fabricated face and fabricated credentials, specifically to imply expertise that was never there. The character is fine; the false claim of a human expert behind it is not.\"}}]\n35:[\"$\",\"p\",\"19\",{\"dangerouslySetInnerHTML\":{\"__html\":\"The same distinction shows up in how honest AI products are built. A \u003ca href=\\\"/glossary/non-impersonation-prompt\\\"\u003enon-impersonation prompt\u003c/a\u003e is the standard technique for keeping a model from passing itself off as a person — keep the brand character, drop the false claim of humanity. Google's fake-author rule is the publishing-side version of that principle: you can have a persona, you cannot manufacture a fake human. The practical test is simple. Ask whether a reader who learned the full truth about who made this content and how would feel deceived. A disclosed brand voice passes. An invented staff writer with an AI headshot does not.\"}}]\n36:[\"$\",\"h2\",\"20\",{\"id\":\"no-new-penalty-but-a-clearer-bar-for-effort\",\"children\":\"No new penalty — but a clearer bar for \\\"effort\\\"\"}]\n37:[\"$\",\"p\",\"21\",{\"dangerouslySetInnerHTML\":{\"__html\":\"It is worth being precise about what did not happen, because the opposite gets reported constantly. Google did not announce a new ranking signal, a new penalty, or a crackdown specific to AI. Its longstanding position holds: content is judged on quality, originality, and usefulness, and AI involvement is not itself a demerit. The scaled-content-abuse spam policy — mass-producing pages with little added value — is unchanged, and so are the relevant quality-rater sections.\"}}]\n38:[\"$\",\"p\",\"22\",{\"dangerouslySetInnerHTML\":{\"__html\":\"What both updates do is make the \\\"effort\\\" expectation concrete. A page of unverified AI output with a fabricated byline is close to the textbook description of low effort and low originality that Google maps to its spam thinking. Before these refreshes, a publisher could argue the expectations were vague. Now they are written down, and \\\"we didn't know we had to check the metadata\\\" or \\\"we thought a made-up byline was harmless\\\" are no longer defensible positions. The downside risk did not get a new name; it got a clearer definition.\"}}]\n39:[\"$\",\"h2\",\"23\",{\"id\":\"what-this-means-if-you-publish-ai-content-at-volume\",\"children\":\"What this means if you publish AI content at volume\"}]\n3a:[\"$\",\"p\",\"24\",{\"dangerouslySetInnerHTML\":{\"__html\":\"The uncomfortable arithmetic is that both rules add human steps to a workflow whose entire appeal was removing them. If every draft and its metadata needs a human to read it against a source, and every page needs a real, attributable author, then the throughput of an AI content operation is bounded by review capacity, not by generation speed. The teams that stay safe are the ones that treat the review stage as the real production line and build it to be fast, not the ones that treat g"])</script><script>self.__next_f.push([1,"eneration as the finish line.\"}}]\n3b:[\"$\",\"p\",\"25\",{\"dangerouslySetInnerHTML\":{\"__html\":\"That reframes the tooling question. The valuable capability is no longer \\\"how many drafts can it produce\\\" — that problem is solved — but \\\"how efficiently can a human verify and attribute what it produced before anything ships.\\\" A workflow that surfaces the body copy and its metadata together, keeps a consistent voice so the reviewer is checking facts instead of rewriting tone, holds everything behind an explicit approval gate, and attaches output to a real identity rather than a fabricated one is a workflow built for exactly the bar Google just wrote down.\"}}]\n3c:[\"$\",\"h2\",\"26\",{\"id\":\"where-kompozy-fits-a-real-brand-identity-and-review-before-publish\",\"children\":\"Where Kompozy fits: a real brand identity, and review before publish\"}]\n3d:[\"$\",\"p\",\"27\",{\"dangerouslySetInnerHTML\":{\"__html\":\"\u003ca href=\\\"/\\\"\u003eKompozy\u003c/a\u003e is a full AI content generation and multi-platform publishing engine, and the reason it sits naturally on the right side of both rules is a design choice about identity. Its \u003ca href=\\\"/glossary/persona-shorts\\\"\u003eAI Influencer Persona\u003c/a\u003e system is a transparent, brand-owned voice — a persona tied to your actual business and account, governed by a \u003ca href=\\\"/glossary/persona-brief\\\"\u003ePersona Brief\u003c/a\u003e that holds your voice, style, and prohibited claims. That is the legitimate-persona side of the line Google drew, not the fabricated-human side: Kompozy does not mint a fake staff writer with an invented headshot and false credentials to dress AI output as human expertise. The content attributes to the real person or organization behind the account, and disclosing that AI is part of the process stays your call to make openly.\"}}]\n46:T424,The accuracy rule is handled by where Kompozy puts the human. Every generated piece — \u003ca href=\"/glossary/output-buckets\"\u003eblog articles, newsletters, text posts\u003c/a\u003e, and the images and carousels that carry titles and alt text — routes into a per-post review pipeline instead of straight to the platform, so the \"manually fact-check before publishing\" checkpoint is the default path rather than a discipline you have to remember. The review surface shows the draft and its metadata together, which is the concrete answer to Google naming titles, meta descriptions, and alt text: they get seen and checked, not auto-filled and forgotten. Honest limit, stated plainly: Kompozy does not fact-check for you, because the whole point of Google's note is that the model cannot verify itself. What it does is make the human review realistic at volume — consistent voice so the reviewer checks facts rather than tone, one approval gate before anything ships, and \u003ca href=\"/glossary/autopilot\"\u003eautopilot\u003c/a\u003e scheduling reserved for batches you have already approved.3e:[\"$\",\"p\",\"28\",{\"dangerouslySetInnerHTML\":{\"__html\":\"$46\"}}]\n3f:[\"$\",\"h2\",\"29\",{\"id\":\"the-bottom-line\",\"children\":\"The bottom line\"}]\n40:[\"$\",\"p\",\"30\",{\"dangerouslySetInnerHTML\":{\"__html\":\"Google did not ban AI content or invent a new punishment for it. It wrote down two things it already expected: verify what a model produces — body and metadata — before you publish it, and never invent a human author to make that content look more trustworthy than it is. The accuracy rule exists because fluency is not truth. The authorship rule exists because a byline is a trust signal, and faking one is deception. Both point the same direction: use AI to draft fast, keep a real human accountable for what is true and who said it, and treat the review-and-attribution step not as overhead but as the part of an AI content workflow that actually protects you.\"}}]\n41:[\"$\",\"h2\",null,{\"id\":\"faq\",\"children\":\"Frequently asked questions\"}]\n"])</script><script>self.__next_f.push([1,"42:[\"$\",\"div\",null,{\"className\":\"speakable-faq\",\"children\":[[\"$\",\"div\",\"0\",{\"style\":{\"marginBottom\":\"1.25rem\",\"borderTop\":\"1px solid var(--c-border)\",\"paddingTop\":\"1rem\"},\"children\":[[\"$\",\"h3\",null,{\"style\":{\"fontSize\":\"1rem\",\"fontWeight\":600,\"margin\":\"0 0 0.5rem\"},\"children\":\"What did Google say about fake authors?\"}],[\"$\",\"p\",null,{\"style\":{\"margin\":0},\"children\":\"In its helpful-content guidance for site owners, Google wrote that \\\"fabricating creator profiles (such as by using AI-generated headshots, made-up names, or false credentials to make content appear as if it was written by human experts) is a form of deception.\\\" It added that \\\"any form of deception makes a page untrustworthy to both users and our automated quality systems, and is a signal of a low-quality page.\\\" The warning sits in the \\\"Who created the content\\\" part of the guidance, alongside Google's long-standing advice that pages carry a real byline that leads to genuine background on the author.\"}]]}],[\"$\",\"div\",\"1\",{\"style\":{\"marginBottom\":\"1.25rem\",\"borderTop\":\"1px solid var(--c-border)\",\"paddingTop\":\"1rem\"},\"children\":[[\"$\",\"h3\",null,{\"style\":{\"fontSize\":\"1rem\",\"fontWeight\":600,\"margin\":\"0 0 0.5rem\"},\"children\":\"Does Google require you to fact-check AI content before publishing?\"}],[\"$\",\"p\",null,{\"style\":{\"margin\":0},\"children\":\"Yes, as written guidance. Google's generative-AI content page now states it is \\\"critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing,\\\" and that this review also applies to metadata — title elements, meta descriptions, structured data, and image alt text — because those can appear in Search results. The stated reason is that generative models predict a likely sequence of words rather than retrieve facts, so outputs may contain inaccuracies, or hallucinations. The fact-check is a human job; the model cannot verify itself.\"}]]}],[\"$\",\"div\",\"2\",{\"style\":{\"marginBottom\":\"1.25rem\",\"borderTop\":\"1px solid var(--c-border)\",\"paddingTop\":\"1rem\"},\"children\":[[\"$\",\"h3\",null,{\"style\":{\"fontSize\":\"1rem\",\"fontWeight\":600,\"margin\":\"0 0 0.5rem\"},\"children\":\"Is a branded AI persona the same as a fake author?\"}],[\"$\",\"p\",null,{\"style\":{\"margin\":0},\"children\":\"No, and the distinction is the whole point. A branded persona — a named, styled, consistent voice for a business — is legitimate as long as it does not pose as a specific real human expert who does not exist. What Google calls deception is the fabrication: an invented person with a synthetic headshot, a made-up name, and credentials designed to imply human expertise that was never there. You can run a consistent brand voice and disclose that AI is involved; you cross the line when you manufacture a fake human to borrow trust the content has not earned.\"}]]}],[\"$\",\"div\",\"3\",{\"style\":{\"marginBottom\":\"1.25rem\",\"borderTop\":\"1px solid var(--c-border)\",\"paddingTop\":\"1rem\"},\"children\":[[\"$\",\"h3\",null,{\"style\":{\"fontSize\":\"1rem\",\"fontWeight\":600,\"margin\":\"0 0 0.5rem\"},\"children\":\"Did Google add a new penalty for AI content or fake authors?\"}],[\"$\",\"p\",null,{\"style\":{\"margin\":0},\"children\":\"No. Neither the fact-check wording nor the fake-author wording introduced a new penalty or a new ranking system. The generative-AI page still points to Search Essentials and reiterates the existing scaled-content-abuse spam policy, and the fake-author line is a clarification within existing helpful-content and quality-rater thinking. The change is one of emphasis and specificity: two things Google already believed are now documented, which raises the stakes for skipping them.\"}]]}],[\"$\",\"div\",\"4\",{\"style\":{\"marginBottom\":\"1.25rem\",\"borderTop\":\"1px solid var(--c-border)\",\"paddingTop\":\"1rem\"},\"children\":[\"$L47\",\"$L48\"]}]]}]\n"])</script><script>self.__next_f.push([1,"43:[\"$\",\"h2\",null,{\"id\":\"direct-answer\",\"children\":\"The direct answer\"}]\n44:[\"$\",\"div\",null,{\"className\":\"speakable-direct-answer\",\"children\":[\"$\",\"p\",null,{\"children\":\"In a 2026 update, Google told publishers to manually fact-check every AI-generated draft — including titles, meta descriptions, structured data, and alt text — before publishing, because generative models predict words rather than retrieve facts. In separate helpful-content guidance it warned that fabricating an author with an AI headshot, a made-up name, or false credentials is deception and a signal of a low-quality page. Neither change added a new penalty; both wrote down what Google already expected.\"}]}]\n45:[\"$\",\"p\",null,{\"style\":{\"marginTop\":\"3rem\",\"fontFamily\":\"var(--font-mono)\",\"fontSize\":\"0.85rem\"},\"children\":[[\"$\",\"$L13\",null,{\"href\":\"/pricing\",\"data-cta-id\":\"guides-slug-start-trial\",\"data-cta-label\":\"Guide page (any slug): Get started\",\"children\":\"Get started →\"}],\" · \",[\"$\",\"$L13\",null,{\"href\":\"/guides\",\"children\":\"← All guides\"}],\" · \",[\"$\",\"$L13\",null,{\"href\":\"/compare\",\"children\":\"Compare Kompozy vs other tools\"}]]}]\n"])</script><script>self.__next_f.push([1,"47:[\"$\",\"h3\",null,{\"style\":{\"fontSize\":\"1rem\",\"fontWeight\":600,\"margin\":\"0 0 0.5rem\"},\"children\":\"Does the fact-check guidance really cover titles and alt text?\"}]\n48:[\"$\",\"p\",null,{\"style\":{\"margin\":0},\"children\":\"Yes — Google named them explicitly. The review is not limited to body copy: title elements, meta description elements, structured data, and image alt text all count, because each can appear in Search results. These are exactly the fields creators most often let a model fill in bulk and rarely re-read, which is why Google called them out by name rather than leaving them under a general \\\"review your content\\\" instruction.\"}]\n"])</script><script>self.__next_f.push([1,"1a:[[\"$\",\"meta\",\"0\",{\"charSet\":\"utf-8\"}],[\"$\",\"meta\",\"1\",{\"name\":\"viewport\",\"content\":\"width=device-width, initial-scale=1, maximum-scale=5, viewport-fit=cover\"}],[\"$\",\"meta\",\"2\",{\"name\":\"theme-color\",\"content\":\"#0a0a0c\",\"media\":\"(prefers-color-scheme: dark)\"}],[\"$\",\"meta\",\"3\",{\"name\":\"theme-color\",\"content\":\"#ffffff\",\"media\":\"(prefers-color-scheme: light)\"}]]\n"])</script><script>self.__next_f.push([1,"49:I[86869,[],\"IconMark\"]\n17:null\n"])</script><script>self.__next_f.push([1,"1c:[[\"$\",\"title\",\"0\",{\"children\":\"Google on AI content and fake authors (2026): the two rules that actually changed — fact-check everything, and never fabricate a human expert · Kompozy\"}],[\"$\",\"meta\",\"1\",{\"name\":\"description\",\"content\":\"Google's 2026 guidance on AI content: manually fact-check every draft and its metadata before publishing, and never fabricate a fake author identity.\"}],[\"$\",\"link\",\"2\",{\"rel\":\"manifest\",\"href\":\"/manifest.webmanifest\",\"crossOrigin\":\"$undefined\"}],[\"$\",\"meta\",\"3\",{\"name\":\"keywords\",\"content\":\"google ai content guidelines,google fake author warning,fabricating creator profiles,google fact check ai content,ai author identity seo,google ai content fake authors,e-e-a-t ai content,google helpful content ai authors,ai content authorship google,manually fact check ai content,fake author ai headshot,google ai content rules 2026\"}],[\"$\",\"link\",\"4\",{\"rel\":\"canonical\",\"href\":\"https://kompozy.io/guides/google-ai-content-fake-authors-fact-checking\"}],[\"$\",\"meta\",\"5\",{\"property\":\"og:title\",\"content\":\"Google on AI content and fake authors (2026): the two rules that actually changed — fact-check everything, and never fabricate a human expert\"}],[\"$\",\"meta\",\"6\",{\"property\":\"og:description\",\"content\":\"Google's 2026 guidance on AI content: manually fact-check every draft and its metadata before publishing, and never fabricate a fake author identity.\"}],[\"$\",\"meta\",\"7\",{\"property\":\"og:url\",\"content\":\"https://kompozy.io/guides/google-ai-content-fake-authors-fact-checking\"}],[\"$\",\"meta\",\"8\",{\"property\":\"og:site_name\",\"content\":\"Kompozy\"}],[\"$\",\"meta\",\"9\",{\"property\":\"og:type\",\"content\":\"article\"}],[\"$\",\"meta\",\"10\",{\"property\":\"article:published_time\",\"content\":\"2026-10-02\"}],[\"$\",\"meta\",\"11\",{\"property\":\"article:modified_time\",\"content\":\"2026-10-02\"}],[\"$\",\"meta\",\"12\",{\"name\":\"twitter:card\",\"content\":\"summary_large_image\"}],[\"$\",\"meta\",\"13\",{\"name\":\"twitter:title\",\"content\":\"Google on AI content and fake authors (2026): the two rules that actually changed — fact-check everything, and never fabricate a human expert\"}],[\"$\",\"meta\",\"14\",{\"name\":\"twitter:description\",\"content\":\"Google's 2026 guidance on AI content: manually fact-check every draft and its metadata before publishing, and never fabricate a fake author identity.\"}],[\"$\",\"link\",\"15\",{\"rel\":\"icon\",\"href\":\"/favicon.ico?e4236ce06e2f2e92\",\"type\":\"image/x-icon\",\"sizes\":\"32x32\"}],[\"$\",\"link\",\"16\",{\"rel\":\"icon\",\"href\":\"/icon.svg?9d7c62a662424f91\",\"type\":\"image/svg+xml\",\"sizes\":\"any\"}],[\"$\",\"link\",\"17\",{\"rel\":\"apple-touch-icon\",\"href\":\"/apple-icon.png?7125579bdd3fd590\",\"type\":\"image/png\",\"sizes\":\"180x180\"}],[\"$\",\"$L49\",\"18\",{}]]\n"])</script></body></html>