Big content guides without breaking Google's scaled content policy
Big content guides without breaking Google's scaled content policy

A large content guide does not break Google's rules because it is large. Google's spam policy defines the problem as "when many pages are generated for the primary purpose of manipulating search rankings and not helping users," and Google publishes no page count or publishing speed that counts as too many. The test is purpose and value: does each page exist to help a reader, and does it add something?
So a 40- or 100-article guide is fine when each article answers a real question with real substance, sources and review. It becomes a problem when pages are made to catch search variations: the same template with a city or keyword swapped in, or a separate page for every way a question can be phrased. Google's AI optimization guide, published May 15, 2026, says building pages for every fan-out query variation primarily to manipulate rankings or AI answers violates the scaled content abuse policy.
Key Takeaways
- Google's scaled content abuse policy targets pages made "for the primary purpose of manipulating search rankings and not helping users," "no matter how it's created."
- The policy covers human-written content as well as AI. Google says it applies "whether automation or humans are involved."
- Google gives no page count and no publishing speed limit. Volume is not the test; unhelpful pages at scale are.
- Separate pages for every phrasing of a question, made primarily to manipulate rankings or AI answers, violate the policy, per Google's May 15, 2026 AI optimization guide.
- As of October 2026, Google's helpful-content page says using generative AI to produce large amounts of text "without manual oversight or curation represents little to no effort."
- One question per article, sourced facts, independent review and growth in planned waves are the practical safeguards.
What Google's scaled content abuse policy says
Google announced the scaled content abuse policy on March 5, 2024, alongside the March 2024 core update. The current definition on Google's spam policies page reads: "Scaled content abuse is when many pages are generated for the primary purpose of manipulating search rankings and not helping users. This abusive practice is typically focused on creating large amounts of unoriginal content that provides little to no value to users, no matter how it's created."
The examples Google lists "include, but aren't limited to":
- "Using generative AI tools or other similar tools to generate many pages without adding value for users"
- "Scraping feeds, search results, or other content to generate many pages (including through automated transformations like synonymizing, translating, or other obfuscation techniques), where little value is provided to users"
- "Stitching or combining content from different web pages without adding value"
- "Creating multiple sites with the intent of hiding the scaled nature of the content"
- "Creating many pages where the content makes little or no sense to a reader but contains search keywords"
The section closes with: "If you're hosting such content on your site, exclude it from Search." On enforcement, Google says it detects violations "through automated systems and, as needed, human review that can result in a manual action," and that violating sites "may rank lower in results or not appear in results at all." Since May 15, 2026, Google's spam policies state that they also apply to generative AI responses in Google Search.
It applies to people as well as AI
A common misreading is that the policy is about AI content. It isn't. When Google introduced it, the March 2024 announcement said the policy lets Google act on scaled content abuse "no matter whether content is produced through automation, human efforts, or some combination of human and automated processes." A team of writers filling a template 200 times can be in scope.
AI use on its own is not a violation. Google said in February 2023: "Appropriate use of AI or automation is not against our guidelines," and "Using AI doesn't give content any special gains. It's just content." Its current page on using generative AI content draws the line at "using generative AI tools or other similar tools to generate many pages without adding value for users," which "may violate Google's spam policy on scaled content abuse."
The helpful-content page puts the effort point bluntly. As of October 2026 it says "using generative AI to produce large amounts of text without manual oversight or curation represents little to no effort. Attribution or giving credit to other sources doesn't replace the need for original effort."
Fan-out pages and city pages
Query fan-out is when an AI search feature breaks one question into many related searches; our query fan-out explainer covers how it works. Google's AI optimization guide addresses this directly: "While it might be tempting to create separate content for every possible variation of how people might search (for example, by focusing on other queries that people have asked, or fan-out queries), doing so primarily to manipulate rankings or generative AI responses in Google Search violates Google's scaled content abuse spam policy. This is also an ineffective long-term strategy, as a high quantity of pages doesn't make a website higher quality or more relevant to users."
City and variant pages fall under a related policy. Google defines doorway abuse as "when sites or pages are created to rank for specific, similar search queries," with examples including "Having multiple domain names or pages targeted at specific regions or cities that funnel users to one page" and "Creating substantially similar pages that are closer to search results than a clearly defined, browseable hierarchy."
A location page can still be legitimate when it carries facts that are true only for that place: the address, the staff there, local rules, local prices. A page that differs from its siblings only in the city name is the pattern Google describes.
Volume is not the test
Google has not published a number of pages, or a rate of publishing, that triggers the policy. The wording is about purpose ("primary purpose of manipulating search rankings") and value ("little to no value to users"). Two more points:
- "Some duplicate content on a site is normal and it's not a violation of Google's spam policies." Overlap between related articles is not abuse by itself.
- Google's Search Quality Rater Guidelines tell raters that pages "created at scale with no original content or added value for users, should be rated Lowest, no matter how they are created." Raters don't set rankings, but the wording shows what Google is looking for: original content and added value, not a low page count.
Volume does show up in Google's self-assessment questions, as a warning sign about motive. The helpful-content page asks: "Is the content mass-produced by or outsourced to a large number of creators, or spread across a large network of sites, so that individual pages or sites don't get as much attention or care?"
Google's warning signs, applied to a content guide
Google says answering yes to questions like these "is a warning sign that you should reevaluate how you're creating content." The right column is how each sign tends to look in a guide.
| Google's question (quoted) | What it looks like in a guide |
|---|---|
| "Is the content primarily made to attract visits from search engines?" | Topics chosen from a keyword export with no check that customers actually ask them |
| "Are you using extensive automation to produce content on many topics?" | Drafts published as generated, without a sourced fact file or an editor |
| "Are you mainly summarizing what others have to say without adding much value?" | Every article restates the top results; nothing from the business's own experience |
| "Does your content leave readers feeling like they need to search again to get better information from other sources?" | Articles that stop before the practical answer, cost or next step |
| "Are you writing to a particular word count because you've heard or read that Google has a preferred word count? (No, we don't.)" | Padding to hit a length target |
| "Did you decide to enter some niche topic area without any real expertise, but instead mainly because you thought you'd get search traffic?" | Articles on services the business doesn't offer |
These are self-assessment questions, not a list of ranking factors.
What makes a 40- or 100-article guide useful
A big guide earns its size when each page has a distinct job. These are the practices we use to plan guides for clients.
| Practice | Why it matters | How to check |
|---|---|---|
| One real question per article | Prevents near-duplicates and pages competing with each other | Every article maps to one question and one money page; see mapping articles to money pages |
| A sourced fact file per topic area | Gives each page facts it can stand behind | Every claim traces to a source and a check date |
| Something only this business can say | Separates the page from commodity content | The page includes first-hand process, local rules, real prices or cases the business has handled |
| Independent fact-check, plus expert review on YMYL topics | Catches errors before indexing | Review log; see expert review before indexing |
| A clear hierarchy | Makes the guide browseable, not a pile of pages | Hub lists articles by stage in reading order |
| No templated swaps | Avoids the doorway and scaled patterns | Two sibling pages differ in substance, not just in a city or keyword |
Google's AI optimization guide makes the commodity point with an example. It contrasts "7 Tips for First-Time Homebuyers" with "Why We Waived the Inspection & Saved Money: A Look Inside the Sewer Line." The second could only come from someone who did it. Our post on why generic content doesn't get cited covers the same idea for AI answers.
Sources are part of the substance. On one adult ADHD guide we built for a New York City psychiatry practice, each article averaged about 10 sources. That is an example of how the guide was made, not a target.
Grow in waves and re-check the plan
Publishing a guide in planned waves keeps review capacity in step with output, and it gives you a chance to notice which questions you missed. Two anonymized examples of how guides have grown:
- A capacitor fuse guide for an industrial fuse manufacturer grew from 19 to 42 articles in a second round.
- The psychiatry practice's adult ADHD guide launched with 85 articles and grew to 113.
Each wave starts by re-checking the plan against the live site. On a custom awards company's guide, a planned comparison post turned out to duplicate a product page that already had a comparison table and five FAQs. The plan went stale against its own money pages a second time later, which is why the check happens before every batch, not just once. How to size each stage is covered in how many articles per funnel stage.
A pre-publish check for each batch
- List the question each article answers. Merge any two that answer the same one.
- Confirm the money page it supports doesn't already answer it.
- Confirm every factual claim is in the fact file with a source.
- Find the part of each article that only this business could write. If there is none, add it or cut the article.
- Compare sibling pages side by side. If they differ only in a place name or keyword, rewrite or merge.
- Run the independent fact-check, and hold YMYL pages for expert review.
- Check titles, meta descriptions and structured data. For AI-generated content, Google says the review "also applies to metadata."
If you already have thin pages at scale
Google's own instruction for hosted scaled content is to "exclude it from Search." For a guide you want to keep, the better path is usually to improve the pages worth keeping, merge near-duplicates into one stronger page with a redirect, and noindex or remove what has no reader value. How to choose between updating, rewriting and merging is in keeping a content guide current. Don't mass-delete or mass-publish to look active: Google lists "adding a lot of new content or removing a lot of older content" for freshness as a warning sign.
Conclusion
Google's scaled content policy is about why pages exist and what they add, not how many there are. A large guide built from real questions, sourced facts, review and a clear structure fits the policy; a large set of templated or fan-out pages doesn't, whoever writes them. The method behind our guides is laid out in the TOFU, MOFU, BOFU content strategy pillar (top, middle and bottom of funnel), and if you'd like help planning one, see our content marketing services. More guides are in our GEO and AEO Guide.
Frequently asked questions
How many pages can I publish before Google treats it as scaled content abuse?
Google doesn't publish a number. The policy is defined by purpose and value, so 100 useful pages are not what it describes, while 20 templated pages made to catch search variations can be.
Is AI-written content against Google's policies?
No. Google says "Appropriate use of AI or automation is not against our guidelines." The problem is using it to generate many pages without adding value, or primarily to manipulate rankings.
Are location pages for each city I serve allowed?
Pages with real local substance can be useful. Google's doorway abuse examples include pages "targeted at specific regions or cities that funnel users to one page," so a page that only swaps the city name is the risk.
Should I publish a page for each question an AI tool might ask?
Not as a tactic. Google's AI optimization guide says doing that primarily to manipulate rankings or AI responses violates the scaled content abuse policy. Cover related sub-questions inside the article that owns the main question.
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On this page
- Key Takeaways
- What Google's scaled content abuse policy says
- It applies to people as well as AI
- Fan-out pages and city pages
- Volume is not the test
- Google's warning signs, applied to a content guide
- What makes a 40- or 100-article guide useful
- Grow in waves and re-check the plan
- A pre-publish check for each batch
- If you already have thin pages at scale
- Conclusion
- Frequently asked questions





