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Local search and SEO

Scaled content abuse

mass produced content / AI content penalty / programmatic SEO / content at scale

In short

Scaled content abuse is Google's name for generating many pages mainly to manipulate rankings rather than help people. Its definition says this applies no matter how the content is created, so using AI is not itself the violation. Google states it focuses on the quality of content rather than how it was produced.

Read the definition slowly, because the important clause is at the end. Google says scaled content abuse is when many pages are generated for the primary purpose of manipulating search rankings and not helping users, and that the practice is typically focused on creating large amounts of unoriginal content that provides little to no value to users, no matter how it is created. Purpose and value are the tests. The tool is explicitly not.

That clause answers the question everybody actually has. Google's guidance on AI-generated content is titled rewarding high-quality content, however it is produced, and says its focus is on the quality of content rather than how content is produced. It draws the line in the same place: using automation, including AI, to generate content with the primary purpose of manipulating ranking is a violation of the spam policies. And it says plainly that not all use of automation, including AI generation, is spam.

So there is no page count that tips a site into the policy, and Google does not offer one. A thousand pages that each answer a real question are not described by this policy. Ten pages spun from one, to occupy ten searches, are.

Bing adds a related point from a different angle. It says duplicate and near-duplicate URLs do not harm a site by themselves, but that they can blur the information search engines use to understand your content and evaluate relevance. Mass-produced pages tend to be near-duplicates of each other, which is how a batch of them can dilute a site without any single page being penalised.

In practice

The offer that should prompt a question is the one priced per page. Two hundred pages for a few hundred dollars describes a budget of about a dollar and a half of work per page, which is a statement about how much value each one can contain. Google's own example of the abuse is using generative AI tools to generate many pages without adding value for users. The number is not the problem. What the number implies about each page usually is.

Not the same as

Using AI to write
Google says its focus is the quality of the content rather than how it was produced, and that not all automation is spam.
Duplicate content
Bing says near-duplicates do not harm a site by themselves. They blur signals rather than trigger a penalty.

Why it matters to you

Content programs are sold on volume because volume is easy to price and easy to demonstrate. The policy is written against exactly that, and against nothing about the tooling. If you are buying pages at scale, the defensible version and the abusive version look identical on an invoice and completely different on the page. The difference is whether a reader who landed on one would be glad they did.

What to ask or check

  1. 01What does each page give a reader that no existing page already gives them?
  2. 02Would we publish this page if search engines did not exist?
  3. 03Who checked the facts on each one, and can they show their sources?

What people get wrong

That the policy is about AI. Google defines the abuse as unoriginal, low value pages made primarily to manipulate rankings, no matter how they are created, and says separately that not all use of automation is spam.

Red flags

  • A content proposal priced per page rather than per question answered.
  • Pages that differ from each other only by a place name or a service word.
  • Nobody able to name a source for the facts on a page.

Where you will see it

In Google's spam policies, and in any proposal offering a large number of pages for a small amount of money.

AI Overviews

An AI Overview is the summary Google sometimes places above the results, with links to sources. Google says they are only shown when its systems judge them additive to classic Search, so they often do not trigger. There is no special file or markup that gets you into them.

Local SEO

Local SEO is the work of showing up when somebody nearby searches for what you sell. Google names three factors: relevance, distance and prominence. Distance is the one you cannot change, and Google states plainly that there is no way to request or pay for a better local ranking.

Structured data

Structured data is markup that describes your page in a shared vocabulary, founded by Google, Microsoft, Yahoo and Yandex. Google is explicit about the limit: using it enables a feature to be present and does not guarantee that it will be present, even when the markup is correct.

Review snippet

A review snippet is the star rating Google can show beside a search result, drawn from structured data on the page. Local businesses cannot get one from reviews about themselves. Google says pages where the reviewed entity controls the reviews, including embedded review widgets, are ineligible.

Review suppression

Review suppression is hiding or removing customer reviews based on how negative they are. The FTC rule allows moderation as long as the criteria are applied equally regardless of sentiment. What it prohibits is implying the reviews you display represent all of them, and using false accusations or threats to get one taken down.

Incentivized reviews

An incentivized review is one a customer wrote after being offered something for it. The FTC rule does not ban that. It bans conditioning the incentive, expressly or by implication, on the review expressing a particular sentiment. Adding a disclosure does not fix a five-star requirement.

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