Google edited the same help page twice within a few days at the start of October, and both edits push sites toward showing real work by real people. Around October 1, the same day Google updated its guidance on generative AI content, it added a section defining main content and the four attributes its quality raters use to evaluate it, according to Search Engine Roundtable. On October 5, it added a paragraph telling site owners to stop fabricating authors. Both were quiet documentation edits with no ranking update announced. Still, the page is the guidance Google points to when it explains what its core ranking systems are built to reward, so marketing leaders have good reason to read it closely.
Most coverage of the update summarizes it, and some of that coverage folds practitioner advice into what Google said. We went back to Google's own documentation to separate the two, because the difference matters when you decide what to change on your site. Below, we cover what Google wrote, where the popular advice goes further than Google did, and a one-hour self-audit you can run on your own pages this week.
Google made two additions to its helpful content guidelines: a definition of main content with the criteria raters use to judge it, and an explicit warning against deceptive authorship. Both appear on the Creating helpful, reliable, people-first content page in Google Search Central, which now shows a last-updated date of October 5, 2026.
| Change | Date Added | What Google Wrote | What It Means for Site Owners |
|---|---|---|---|
| Main content definition | About October 1, 2026 | Main content is "any part of the web page that directly helps the page achieve its purpose" | Text, tools, reviews, tabbed sections, titles, and headings all count toward how a page's quality is judged |
| Main content attributes | About October 1, 2026 | Raters evaluate effort, originality, talent or skill, and accuracy | Google now names unsupervised, high-volume AI text as low effort |
| Deceptive authorship | October 5, 2026 | Fabricated creator profiles are "a form of deception" and "a signal of a low-quality page" | Invented personas, AI headshots, and inflated credentials are now named in writing as a quality risk |
The name of the page can cause some confusion. Google's helpful content system, first launched in 2022 as the Helpful Content Update, no longer runs on its own, since Google's ranking systems guide lists it among retired systems and says it became part of the core ranking systems in March 2024. What remains is this documentation, which describes the standard those core systems aim to reward, and that makes an edit to it more significant than its low profile suggests.
Google defines main content as "any part of the web page that directly helps the page achieve its purpose," and it lists five kinds of content that can qualify depending on the page's intent. According to the documentation, main content can include:
Google then lists the four attributes its Search Quality raters are trained to evaluate in that main content:
Effort is the amount of human work behind the content or the systems that power it.
On that point, Google says that "using generative AI to produce large amounts of text without manual oversight or curation represents little to no effort."
Originality asks whether the page offers information or perspectives not already available elsewhere.
Talent or skill covers the craft needed to satisfy visitors.
Accuracy requires informational pages to be factually correct, with YMYL topics held to established expert consensus.
The effort definition also says that "Attribution or giving credit to other sources doesn't replace the need for original effort." Many content programs treat a list of citations as proof of quality, while Google's position is that sourcing alone does not turn a summary of other people's work into original effort. For B2B companies, the most defensible original effort usually comes from material only they have, such as client results, proprietary data, field testing, or the reasoning behind a recommendation.
Google's new section defines main content, but it does not tell site owners where on the page that content should sit. The widely shared advice to put the primary answer or tool at the top of the page, instead of below introductory copy, comes from Marie Haynes's analysis of the update in Search Engine Journal. The documentation itself says nothing about placement or scrolling.
We agree with that advice anyway, for reasons beyond Google. Answer engines tend to pull the passage that most directly answers a question, and a page that delays its answer behind several paragraphs of setup gives them less to work with, which is why our own posts open with a quick answer. The difference between Google's text and Haynes's advice still matters, because a team that believes Google now penalizes introductions may strip context that readers need, while a team that understands the reasoning can lead with the answer and keep the depth beneath it. We explain the answer-first pattern in more detail in our guide to how AI search engines understand and rank content.
Tabs and accordions show the same gap between Google's text and practitioner advice. Google's documentation lists tabbed and expanded sections as main content, which means content inside a tab is part of what gets evaluated. Haynes adds a sensible caution that content can be accessible and still go unread, and suggests checking heatmaps to confirm critical answers are seen. That verification step is good practice, though it comes from practitioners and Google does not require it.
Google now names fake authorship explicitly, and it classifies fabricated profiles as deception that signals a low-quality page. Google did not say what prompted the addition, although generative tools have made a realistic headshot, a plausible name, and a credentialed bio cheap to produce. The new paragraph states 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 adds 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." It sits in the "Who" portion of Google's "Who, How, and Why" framework, immediately after a sentence that strongly encourages "accurate authorship information, such as bylines to content where readers might expect it."
Deceptive authorship (our definition): The presentation of content as the work of a person who does not exist, or who lacks the credentials or involvement the page implies, in order to borrow the trust that a real expert would carry.
Barry Schwartz, reporting on the change for Search Engine Land, notes that fake author profiles appear frequently on news-oriented sites, and he reads Google's wording as a warning that faked authorship could lead its systems to judge a whole site's quality as low.
In our view, the authorship change matters as much for AI visibility as it does for Google rankings. When an AI assistant decides which sources to cite and which brands to name, a credible author usually has a footprint it can find elsewhere, such as conference talks, interviews, licensing records, and other publications, while a fabricated persona has nothing outside the site that created it. Corroboration beyond your own site is the logic behind the three layers of authority we build for clients across SEO, AEO, and GEO.
The "How" section that follows is useful context for teams that use AI in production. For content that automation substantially generated, Google suggests asking whether that use is "self-evident to visitors through disclosures or in other ways," and whether the site explains how and why AI was used. It also recommends disclosures where readers would reasonably expect them. Together, the two sections draw a clear line: disclosing substantial AI use is something Google encourages, while using AI to invent the person who supposedly created the content is deception.
The fastest way to act on this update is to check a small sample of your highest-traffic pages against what Google wrote, then decide whether the findings justify a full audit. Pull your top five organic landing pages from Google Search Console or GA4, then work through these nine checks. Items marked "our recommendation" go beyond Google's documentation, so you can weigh them accordingly.
If several of your top pages fail checks four through seven, the issue is probably tied to how content gets produced, which calls for a broader review of your workflow. If the problems are limited to placement and tab visibility, they are usually design fixes your web team can make in a sprint.
The timing hints at a possible core update, though Google has confirmed nothing and this section is informed speculation. Haynes ties the timing of the documentation change to Google's announcement of Gemini 4 Argon on September 30, 2026, and argues that when Google's AI models take a step up, its ranking systems tend to change significantly. On that basis, she predicts a major core update soon. As of late October, the Search Status Dashboard lists no core update since the May 2026 core update, which finished rolling out on June 1.
The same two weeks were busy elsewhere in Google Search. Google's September 2026 spam update began on September 24 and finished rolling out on October 8, and the Search Status Dashboard lists a duration of 13 days and 16 hours. The June and August 2026 spam updates took two to three days each. Spam updates enforce existing spam policies such as scaled content abuse, which overlaps with the low-effort, high-volume content the new main content section describes. Taken together, these events are suggestive, but none of them shows that a core update is imminent.
The connection between this documentation and rankings is indirect. Google's page states that rater data "is not used directly in our ranking algorithms" and compares raters to feedback cards a restaurant collects from diners, while Haynes describes the guidelines as a picture of what Google's machine learning systems are trained to reward. Both views lead to the same practical conclusion: that the documentation describes the target Google's systems aim for, which makes it the standard to meet whether or not a core update follows soon.
Google's October edits to its helpful content guidelines put two long-standing expectations into plain language: the content that fulfills a page's purpose is what gets judged, and the people credited with creating it need to be real. Both changes reward teams that know what is on their pages and who wrote them, and neither requires a site rebuild. The self-audit above can show within an hour whether your site has a design problem, a production problem, or neither.
If you want the full version run across your site, along with a view of whether AI assistants cite and name your brand, talk to our SEO, AEO, and GEO team. If your next question is whether the buyers who open those specification tabs and read those pages go on to become pipeline, Galileo connects on-site touches to revenue in your CRM.