Google's Helpful Content and AI Content Guidance Pages Both Updated on 1 October

Two of Google's core Search Central pages on content quality both show a last-updated date of 1 October 2026: Creating helpful, reliable, people-first content and Google Search's guidance on using generative AI content on your website. Neither is a ranking update, and Google has not announced either change on its blog or the Search Status Dashboard.

One caveat up front: this post describes what the pages say today. Neither page has a public change log, and no earlier archived copy was available to compare against, so we can't independently confirm exactly which passages are new. Every claim below comes from Google's own pages.

What the helpful content page now says about main content

The page has a "Main content" section that defines the term and links it to how Google's Search Quality raters assess pages. Google defines main content as "any part of the webpage that directly helps the page achieve its purpose", and lists what can count:

• Primary text and media: articles, images, audio and video.
• Interactive features: calculators, online tools, games and search functionality.
• User-generated contributions: forum discussions, reviews, comments or uploaded media, when they directly fulfil the page's purpose.
• Tabbed or expanded sections: for example product specifications, safety notes or reviews behind tabs.
• Page titles and headings: the visible title and headings that summarise the topic.

The page then names four attributes raters are trained to evaluate in main content:

Attribute	What Google says
Effort	The extent to which human work went into the content or the systems powering it. Original analysis or a custom interactive map is high effort; pages generated automatically from feeds, or large amounts of generative AI text "without manual oversight or curation", represent "little to no effort".
Originality	Whether the content offers unique information or perspectives not already available on other websites.
Talent or skill	Whether the content shows the skill needed for a satisfying experience, such as clear writing, well-produced video or functional tools. Google adds that not all content requires specialised expertise.
Accuracy	Informational pages should be factually accurate. For YMYL topics, content must be "highly accurate and consistent with established expert consensus".

This is the "effort, originality, talent or skill, accuracy" framing, which the SEO community shortens to EOT/SA. Google's page doesn't use that abbreviation.

One sentence is worth reading twice: "Attribution or giving credit to other sources doesn't replace the need for original effort." Citing sources is good practice, and Google's guidance elsewhere on the page asks for clear sourcing. But this line says a page that is mostly a well-credited rewrite of someone else's reporting still has to show effort and originality of its own.

The page also still states that raters "have no control over how pages rank" and that rater data "is not used directly in our ranking algorithms". The rater guidelines are a way to self-assess, not a list of ranking factors.

What the generative AI page now says

The AI guidance page contains this instruction: "It is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing." Google gives its reason: "generative models don't retrieve facts, but predict a likely sequence of words based on their training data", so outputs can contain inaccuracies.

The scope is broader than body copy. Google says the review "also applies to metadata like title elements, meta description elements, structured data, and alternate texts for images, which can appear in Search results". For structured data it adds that you should comply with the general guidelines and the policies for the individual search features, and validate the markup to ensure eligibility.

The rest of the page is consistent with earlier guidance:

• Using generative AI to produce many pages without adding value for users may violate the spam policy on scaled content abuse.
• Google points to two sections of the rater guidelines: scaled content abuse (4.6.5) and main content created with little to no effort, originality or added value (4.6.6). It says the guidelines "are not a guide to ranking first in Google" and that ratings "don't directly influence ranking".
• It suggests sharing how content was created, and says ecommerce sites should follow the Merchant Center policies on AI-generated content, including IPTC TrainedAlgorithmicMedia metadata on AI-generated images.

The "Who, How and Why" section

The helpful content page continues to ask who created the content, how, and why. It strongly encourages accurate bylines, and says fabricating creator profiles, such as "AI-generated headshots, made-up names, or false credentials", is deception and "a signal of a low-quality page". On "How", it says AI or automation disclosures are useful "where someone might think 'How was this created?'". On "Why", it says using AI "for the primary purpose of manipulating search rankings" violates the spam policies.

What this means

• Audit metadata, not just copy. If any part of your workflow uses AI to draft titles, meta descriptions, JSON-LD or alt text, the review requirement now explicitly covers them.
• Check template output at scale. Pages generated from feeds are Google's own example of "little to no effort". If a template is the only thing distinguishing thousands of pages, that is the risk to assess.
• Treat sourcing and originality as two separate jobs. A Sources section helps readers verify claims. It doesn't add original information.
• Don't read these pages as a ranking change. Nothing here says a system was retuned. They describe how Google expects content to be assessed, and the dashboard shows no incident tied to them.

Sources

• Google Search Central: Creating helpful, reliable, people-first content
• Google Search Central: Google Search's guidance on using generative AI content on your website
• Google Search Central: Spam policies for Google web search
• Google Search Status Dashboard: Ranking history