# Google Spam Policy Self-Audit

> Two spam policies catch ordinary businesses that did nothing wrong. Here is how to measure your own exposure to both, with the numbers, in an afternoon.

TECHNICAL SEO
# How to Measure Your Own Exposure to Google Spam Policy
After every spam update the same conversation happens. Somebody asks whether their location pages are a problem, or whether publishing regularly counts as scaled content, and the answers they get are opinions. Both of those questions have measurable answers. The policies say what they cover, the tests are arithmetic, and an afternoon of counting beats a month of worrying.
[Jamie Kloncz](https://seoeliteagency.com/jamie-kloncz/) Published August 29, 2026

A spam policy self-audit measures a site against the specific practices Google publishes rather than against general quality advice. Two of those practices, doorways and scaled content abuse, are the ones that catch businesses acting in good faith, and both can be tested with counts rather than judgement.
60-SECOND SELF-CHECK
## Where does your visibility actually stand?
Three quick questions. You will get an honest read on where you are winning, where you are losing the customer, and the one gap to close first.

01 When someone Googles your main service in your city, where do you land?
Top of page one Page one, not the top Page two+ or not sure

02 Do you show up in the Google map pack, the top three with the map?
Yes, consistently Sometimes No or not sure

03 Ask ChatGPT or Gemini for the best in your category and city. Are you named?
Yes No Never checked

YOUR READ Answer the three above and your visibility read appears here.

VISIBILITY READ 0%

###

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ON THIS PAGE
- [The Clause Most Coverage Gets Wrong](#the-clause-most-coverage-gets-wrong)
- [Test One: Are Your Pages Substantially Similar](#test-one-are-your-pages-substantially-similar)
- [Test Two: Does the Page Serve the Person Who Landed On It](#test-two-does-the-page-serve-the-person-who-landed-on-it)
- [Test Three: Count What Is Actually On the Page](#test-three-count-what-is-actually-on-the-page)
- [What to Do With a Result You Do Not Like](#what-to-do-with-a-result-you-do-not-like)

## The Clause Most Coverage Gets Wrong
Google defines scaled content abuse as pages generated for the primary purpose of manipulating rankings rather than helping users, describing unoriginal content that provides little to no value, and adds the words no matter how it is created ([Google, 2026](https://developers.google.com/search/docs/essentials/spam-policies)). Production method is explicitly not the test.
You do not argue about whether a wall is straight. You put a level on it. Most of what gets debated after a spam update is measurable in the same way.
Start here, because it changes what you should even be checking.
Google describes scaled content abuse as many pages generated for the primary purpose of manipulating search rankings and not helping users, focused on creating large amounts of unoriginal content that provides little to no value to users, no matter how it is created ([Google, 2026](https://developers.google.com/search/docs/essentials/spam-policies)).
That final clause does a lot of work and it is routinely dropped in summaries. The policy is not a rule about how content was produced. It names purpose and it names value, and it says the production method is not the deciding factor. A hand-written page that says nothing useful is squarely inside the description. A well-researched page that answers a real question is outside it regardless of how it was drafted.
This matters because the widely repeated version of this advice, that publishing frequently or using tools is inherently risky, is not what the policy says. It leads people to slow down good work and change nothing about the actual exposure, which is whether the pages are worth reading.

## Test One: Are Your Pages Substantially Similar
Google lists substantially similar pages among the doorway examples ([Google, 2026](https://developers.google.com/search/docs/essentials/spam-policies)). Measure it rather than eyeball it: strip the markup, compare overlapping word sequences between every pair of location or service pages, and look at the worst pair rather than the average.
The doorway policy covers sites or pages created to rank for specific, similar search queries that lead users to intermediate pages less useful than the final destination, and it names substantially similar pages as an example ([Google, 2026](https://developers.google.com/search/docs/essentials/spam-policies)).
The practical test is a similarity comparison you can run on your own pages. Take the visible text of each page, strip the markup, and break it into overlapping sequences of five or six words. Then compare every pair by asking what proportion of their combined sequences the two pages share. Identical pages score near one hundred percent. Genuinely different pages written about related subjects land low.
Two habits make this useful rather than theatrical. Compare every pair, not a sample, because the risk sits in the worst pair and an average hides it. And read the result against a page that is honestly different: if your two least similar pages score three percent and your worst pair scores sixty, the gap is telling you those two were built from one another rather than written.
What you are looking for is a cluster of pages that differ only by a place name or a service word. If swapping the city out would produce the other page almost exactly, you have the pattern the policy describes, and no amount of unique title tags fixes it.

## Test Two: Does the Page Serve the Person Who Landed On It
The other doorway limb is intent. Google names domain names targeting specific regions that funnel users elsewhere ([Google, 2026](https://developers.google.com/search/docs/essentials/spam-policies)). The question to ask of every location page is whether it tells the reader the truth about where you are.
Similarity is the measurable half. The other half is intent, and it has a surprisingly concrete test.
Google describes doorways as pages that lead users to intermediate pages that are not as useful as the final destination, and lists domain names targeting specific regions that funnel users elsewhere among the examples ([Google, 2026](https://developers.google.com/search/docs/essentials/spam-policies)). The common thread is a page that exists to catch a query and pass the person along, rather than to serve them.
So open each of your location pages and look for the disclosure. Does the page say where you actually are. If you are not based in that city, does it say so plainly, and does it explain how you serve the area anyway. A page that answers the question are you actually based here with a straight no, and then gives the real distance, is doing the opposite of what a doorway does.
The reason this is a good test is that it is almost impossible to fake at scale. Writing an honest, specific account of your relationship to a place requires knowing the place. Pages built only to catch the query are conspicuously vague about geography, because vagueness is what lets one template serve twenty cities.
Ask one more question of each page: if a reader in that city landed here and read the whole thing, would they have learned something about their own market. If the answer is no, the page is an intermediate step rather than a destination, which is the language the policy uses.

## Test Three: Count What Is Actually On the Page
For scaled content the screen is unoriginal and low value. Count words per page, cited sources per page, and how many of your section headings are reused across the site. Repetition of structure across dozens of pages is the footprint, not the page count itself.
The scaled content test is a counting exercise, and three counts carry most of the signal.
Length first, as a floor rather than a target. You are not looking for a magic number, you are looking for pages that plainly could not answer their own question. A page of two hundred words promising a complete guide is making a claim it does not keep, and that is a value problem regardless of how it was written.
Then sources. Count how many pages cite anything at all, and how many cite a primary source rather than another blog. Content that carries evidence is expensive to produce at scale and is the clearest available separator between work and filler. A library where most pages cite nothing is worth examining honestly, whoever wrote it.
Then structure. Collect every section heading across the site and count the distinct ones. If a hundred pages produce four hundred distinct headings you have a body of individual pieces. If they produce twenty five, you have one template repeated, and that is the footprint a reviewer sees first. Note what this test does and does not catch: it finds sameness, which is the actual concern, rather than volume, which is not.
Publishing pattern is worth a glance too, though it is the weakest signal here. Nothing in the policy makes a busy day a violation, and the value tests above matter far more. But a chart showing eleven pages on one day and nothing for a fortnight invites a question you would rather not have to answer, and spreading the same work costs nothing.

## What to Do With a Result You Do Not Like
Fix the page or remove it. Consolidating several near-identical pages into one genuinely useful page is usually better than editing each to be slightly different, because the goal is a page worth landing on rather than a page that passes a similarity check.
If the tests come back badly, the instinct is to rewrite everything just enough to score differently. That is optimizing for the test rather than the thing the test measures.
The better move is usually consolidation. Five near-identical city pages that each say very little become one strong page about [how you serve the region](https://seoeliteagency.com/multi-city-local-seo-southwest-florida/), with the genuinely local detail kept and the padding dropped. You lose the illusion of coverage and gain a page somebody would actually read. Redirect the removed URLs to the survivor so any equity they held is kept.
Where a page covers a market you really do serve, the fix is to make it specific rather than longer. Name the neighborhoods, the corridors, the local conditions that change the job. Specific knowledge is the thing that cannot be templated, which is exactly why it reads as genuine to a person and scores as different to a machine.
And be honest about pages built to catch a query for a market you do not serve. Removing them is not a loss if they were never going to convert, and carrying them is a risk the rest of the site pays for.
One caveat worth stating plainly: Google publishes no numeric threshold for any of this. The counts above are a practical screen, not an official standard, and a page that scores well can still be worthless while a page that scores oddly can be excellent. Use the numbers to find the pages worth reading properly, then read them.
If you would rather have this measured for you, our [free audit](https://seoeliteagency.com/free-seo-audit/) reports what is actually reachable and readable on your domain, and it costs nothing.

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SOURCES
- [1] [Google Search Central: Spam policies for Google web search, accessed August 26, 2026 - doorways are described as sites or pages created to rank for specific, similar search queries that lead users to intermediate pages that are not as useful as the final destination, with examples including domain names targeting specific regions that funnel users elsewhere and substantially similar pages; scaled content abuse is described as many pages generated for the primary purpose of manipulating search rankings and not helping users, typically large amounts of unoriginal content that provides little to no value to users, no matter how it is created](https://developers.google.com/search/docs/essentials/spam-policies) [↩](#cite-1)
- [2] [Google Search Status Dashboard, read August 26, 2026 - the August 2026 spam update started 18 August 2026 and is recorded as resolved after 2 days and 16 hours; cited here for the date of the update only](https://status.search.google.com/summary) [↩](#cite-2)
PUBLISHED August 29, 2026 · WRITTEN BY JAMIE KLONCZ, FOUNDER · SEO ELITE AGENCY, NAPLES FL

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KEEP READING [Penalties versus algorithm updates →](https://seoeliteagency.com/local-search-penalties-vs-algorithm-updates/)[What happens when Google flags your site →](https://seoeliteagency.com/google-flagged-your-site/)[Why your average position lies →](https://seoeliteagency.com/search-console-average-position/)[Technical SEO audit guide →](https://seoeliteagency.com/how-to-audit-your-websites-technical-seo-step-by-step-guide/)[Multi-city local SEO done honestly →](https://seoeliteagency.com/multi-city-local-seo-southwest-florida/)

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