AI Content Google
and Readers Love
To keep top Google rankings you need great content.
Ahrefs analyzed 600,000 top ranking Google pages — 86.5% use AI.
AI won’t get you banned, but scaled content will.
To keep top Google rankings you need great content.
Ahrefs analyzed 600,000 top ranking Google pages — 86.5% use AI.
AI won’t get you banned, but scaled content will.
In March 2024, Google added a new violation to its spam policy: scaled content abuse. They expected to cut low quality, unoriginal content in search results by 40%.
The sites that got hit lost most of their traffic. Some were removed from the index entirely.
In March 2026, Google ran a spam update and a core update two days apart. SE Ranking found 79.5% of top-three results changed positions and nearly one in four top-ten pages fell out of the top 100 entirely.
Google’s policy names two things: many pages made primarily to manipulate rankings rather than help readers, and large amounts of unoriginal content that gives the reader little to no value.
How it was made is explicitly not the test — humans have been producing scaled content for over twenty years. It is one pattern repeated across a lot of pages.
Best Plumber in Phoenix. Best Plumber in El Paso. Best Plumber in Dallas. Same page, same headings, same paragraphs, one word swapped. Nobody needed AI to build that, and Google has been removing it since long before AI existed.
Same section order, same opening move, same way of setting up a comparison, same closing. Change the keyword, keep the skeleton.
That is what running every article through one prompt produces. It is also what an AI model produces on its own, because the training data stopped on a fixed date and every tool using that model is drawing from the same frozen pool of facts. And it is what writing to an SEO score produces, because hitting the score means the same keyword density and the same formatting on every page.
Settings do the same thing. Tone, reading level, grammar rules, editing rules — set once, applied to every article you publish and to millions of articles on other sites. That is a template.
The SEO score gets sold as the solution to all of this. It is part of the cause.
Surfer SEO, Frase, MarketMuse, Clearscope — they all sell some version of the same number. Aim for 90+. Hit the score. Rank.
By these companies’ own public descriptions, the score measures keyword density, word count targets, and formatting patterns. Google states that none of those are ranking factors.
The score doesn’t work.
Worse: the score creates scaled content. To hit 90+, you stuff keywords, pad word count, and follow templated formatting. Keyword stuffing is not a gray area — Google names it in their spam policies, right next to cloaking and link schemes. You are being scored on how closely you follow a practice Google explicitly calls spam.
The score that is supposed to help you rank is the very thing pulling you off the first page.
Join Surfer’s Facebook group. Read the posts from their paying users about an article with a 70 score, out of 100, ranking on the first page of Google, bumping it up to over 90, and watching it drop. They went back to the original 70 version and it ranked where it did before.
Frase and Writesonic now sell a GEO score alongside the SEO one. Same mechanic, new name, and the same pattern underneath.
Why does the score exist? I don’t know. Maybe it is gamification — a gauge that sits red until you feed it, turns amber, then green, and you get a small dopamine hit every time it climbs. Maybe the people who built it never read Google’s guidelines or did SEO on sites they own. Maybe they never heard about scaled content. Either way, articles get changed not to improve them for the reader but because a number that doesn’t matter goes up.
Scaled content can rank for a while after being published. You post AI content to your site. Thousands of other sites post content using the same prompt, the same SEO score, the same grammar and editing settings. Once thousands or hundreds of thousands of pages share the format, Google identifies it and adds it to scaled content detection at the next update. Every page matching the pattern drops.
There is no manual action and no message in Search Console. Rankings simply drop, and a core update has no reconsideration process to appeal to.
Scaled content can rank short term. It is not a good long term strategy.
An article written only from old AI training data. You’ve seen it — not many facts, quotes, figures or citations. It is fluff that adds nothing. Google calls that thin content, and it sits right next to scaled content in the same quality guidelines.
One AI writer still runs on GPT-3, released in 2020 — the facts in your article stop there, and so do everyone else’s using that model.
Google says bounce rate is not a ranking factor and that they do not read your analytics. What Google does see is its own results page.
Under oath in the DOJ antitrust trial, Google’s VP of Search confirmed a system called NavBoost that re-ranks results on click behavior. Click a result and stay, and that reads as a good result. Click it and bounce back to the search page ten seconds later, and that counts against it.
Most AI content fails with readers. It is hedged, generic, lifeless, short on facts, and people go back for something better.
Then your rankings drop.
To keep ranking in Google you have to create content people love.
MadWords articles are written to be read. Specific, confident, real reasoning, actual facts, and an answer to what the reader searched for. That keeps your rankings and improves the odds for the rest of the pages on your site.
We believe this is the most important goal for AI content. It is why we have a No Edit Guarantee, and why our goal is to write better content than any human writes. No Edit Guarantee →
Google’s E-E-A-T framework wants a real person with real experience behind the byline, and that only helps if the writing is worth signing.
This is part of why I recommend adding a paragraph or two of your own to each article, or one or two articles for every ten MadWords articles you post. It solves the E-E-A-T issue and it gives your site regular human written content. I do not believe posting 100% AI content to a site is totally safe, and I take the conservative side of SEO.
Read a few MadWords articles → and decide if you would sign your name to them.
This is not an ethics argument. Keyword-stuffed content reads like stuffed content, and we all know how most AI content reads now. People land on it and leave. When that happens consistently you lose your rankings.
MadWords writes headlines built for CTR and content that solves what the reader searched for, well written and full of facts. It is there to convert your visitors, or to give your advertisers the metrics they want.
MadWords follows Google’s guidelines, and always will. Your linking strategy, your site, everything else — that is your business, not ours.
There used to be a reason to cut corners on content. Good writing was expensive and sometimes a cheaper writer made sense. That trade is gone. MadWords researches and writes an article for less than $2.
A competitor upsells an editing service at $5 to $10 an article. Once you count editing, MadWords is the cheapest option by a distance, because our content does not need editing.
Now you can publish the best AI content for the cheapest price.
Run a MadWords article through GPTZero right now. It’ll come back as AI content. That is AI detection, and it is a different thing from scaled content detection. Google doesn’t care if it’s AI, but it does care about scaled content.
We know. We’ve tested it. AI detectors are designed to flag AI-generated content — and MadWords articles are AI-generated. We’re not going to pretend otherwise.
If passing third-party AI detection is what you need, MadWords isn’t your tool. If you want a realistic chance your content is still ranking next year, you’re in the right place.
Every article starts with research done seconds before writing — what is currently ranking for the keyword, what AI engines are currently citing and more. Not the training data inside a model that was frozen years ago, which is where most AI tools get their facts and why so much AI content reads like a summary of a summary.
From that foundation, the writing engine changes structural elements on every article.
No. Random variation produces incoherent articles. The diversity is structural — different architecture, same coherence — and it works the same way across how-to guides, product roundups, comparisons, category pages and every language, because it happens in how an article is built rather than in what it is about.
Google’s detection has improved every year, and nothing suggests it reverses. Assume they get better at finding scaled content, not worse, and that the consequences get heavier.
In March 2024 sites did not just lose rankings — some were removed from the index entirely.
Nothing here is built to beat anything, so there is nothing to break. The articles are structurally different like a different writer wrote them. Tools built to game one version of an algorithm are the ones with a problem when it changes.
Not structurally — the pattern risk does not grow with volume, because there is no repeated pattern to find. Volume itself is a different question. Going from 10 articles a month to 10,000 the next month is a signal on its own, whoever wrote them.
Not when done correctly. The MadWords hreflang plugin references the posts in the other languages the way Google’s guidelines describe, so they are never treated as duplicate content.
Two things still apply.
Three thousand pages appearing in a week looks like three thousand pages appearing in a week, whoever wrote them. Run a category at a time and let each batch get indexed before starting the next.
What keeps two versions of the same language genuinely different is localization — prices converted to the local currency, local measurement and date formats, and the words people in that country actually search with. The Mexican version is built for Mexico rather than translated at it. In MadWords that is not a setting you can turn off. How localization works →
In a market like software, every country variant is the same, so pick the language and not a country variant. In markets where a country can have different facts, figures or prices it may make sense to run multiple country variants.
If you run multiple country variants where everything is the same in every country, Google may index only one version and serve it to visitors in every country.
MadWords handles competitor keyword research, articles and translation. The rest is the same work ranking has always required — a steady publishing pace, topical authority, good links, and E-E-A-T.
I have been doing SEO since 2004. No venture capital. No corporate parent.
I tried the other AI writers. They produced scaled content that needed heavy editing. I found it easier to write a blog post from scratch than to deal with the fact checking and everything else wrong with what came back. I launched MadWords in 2025 on my personal websites. After it consistently rivaled my writers on real numbers — CTR, bounce rate, time on page and conversions — I released it for sale in August 2026.
I can't promise MadWords content will rank. Nobody can — and anyone who says they can is selling you something they can't deliver.
What I can promise is the content. It does not carry the fingerprint that gets a site banned. It reads like someone who knows the subject wrote it. And the keyword tool shows you what your competitors have covered that you have not, so you are building topical authority.
Every MadWords account includes the private Discord. Feedback from users helps shape future releases and improve everyone’s results. I am there every day.
Carl Haugen is the founder of MadWords. He has been doing SEO and SaaS since 2004. Today every site he owns is run on MadWords.
Scaled content is a pattern. Thin content is useless to your reader. Google detects both eventually.
MadWords researches every article before it writes, varies the structure every time, and gives you a No Edit Guarantee on the result. That is the floor. The goal is content better than a human writes, content readers are glad they found, and content that earns links without asking.