“Google Says AI Content is Fine… So Why Are AI Sites Still Getting Crushed?”

livinusadie

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Everyone keeps repeating that Google is okay with AI content—as long as it’s “helpful.” But let’s be honest… how many AI-heavy sites have you seen survive recent updates?
I’ve tested this across multiple niches:
Pure AI sites → indexed fast, then wiped out
AI + light human editing → lasts a bit longer, still drops
Fully human-written → slow growth, but stable rankings
So what’s really going on?
Is Google quietly flagging AI patterns despite their public stance?
Or is the real issue that most people are just pumping out low-effort AI junk?
Here’s the controversial part:
I’m starting to think AI content itself isn’t the problem…
The problem is that AI makes it too easy to mass-produce mediocrity
And Google is getting better at detecting that, not just AI.
Curious what others are seeing—
Are you ranking AI content long-term, or just riding temporary traffic spikes?
Why this works:
Challenges Google’s public claims
Invites real case studies (engagement bait)
Positions you as someone testing, not guessing
Sparks debate between “AI believers vs skeptics”
 
AI content isn’t the problem, low-effort content is.

Most “AI sites” fail because they’re just mass-produced with no real value.
 
AI content isn’t the problem, low-effort content is.

Most “AI sites” fail because they’re just mass-produced with no real value.
I get your point, but I don’t think it’s that simple.
Low-effort content has always existed—even before AI. The difference now is scale. AI just makes it easier for people to flood the internet with that same low-value content at a much higher volume.
So while low effort is definitely a big part of the problem, AI is also accelerating it. That’s why search engines and platforms are reacting more aggressively now.
That said, I agree with you on one thing: AI itself isn’t the enemy. People who use it lazily are. The ones actually winning right now are those using AI as a tool to enhance quality, not replace it.
In short—AI didn’t create the problem, it just amplified it.
 
its low value patterns, most AI sites fail because they mass produce generic content with no real insight or authority, the ones that mix AI with real experience, unique angles, and strong EEAT signals still hold rankings
 
Value matters.

I own a blog network in a few niches but the same market. 100% built with automation. i wouldn't say AI cause 75 percent of the websites and backlinks profile were built before the AI era, however all automated.. Before AI it was scrape and spin with re writers / spinners like word ai , spin rewritter. images edited with photoshop / CC / Canva and pulled videos from youtube and built backlinks by tools. nowdays i use agents and plugins (cause i have purhcased multiple plugins over the years so i still use them). what i want to say is all written by AI / scrape and rewrite works fine. now i build 2 websites per week at least thanks to AI.

Give the real value. every single website i build is super fast , read friendly and highly technical. and also build backlinks. nowdays many forget that part.

edit for typos english is my 3 or 4th language lol
 
Google doesn't penalize AI content directly, they penalize the byproducts of mass AI content generation — thin site architecture, zero entity-level expertise signals, uniform embeddings across pages that look like a single model's output at scale. Pure AI sites fail because they hit all three at once. Adding a light human pass helps because it breaks the embedding uniformity enough to dodge the "same-author-at-scale" classifier, even if the content quality is similar.
 
You’re probably right, the issue isn’t AI itself, it’s the quality ceiling most people hit when using it. Google isn’t penalizing “AI content” directly; it’s getting better at spotting patterns of thin, redundant, or unoriginal content at scale. Sites that use AI as a shortcut tend to look the same and that’s what gets filtered out. The ones that treat AI as a tool (not a replacement) and add real expertise, structure, and originality seem to hold up much better long term.
 
Google has very little human intervention. The algorithm and the bots decide what to do. The people who give statements to the public have very little understanding and very little knowledge of the algorithm. We should follow what works instead of what they say.
 
Why this works:
Challenges Google’s public claims
Invites real case studies (engagement bait)
Positions you as someone testing, not guessing
Sparks debate between “AI believers vs skeptics”
You forgot to crop out this part from your chatbot copy/paste efforts.
 
I spoke to someone who worked with Google for Years, about three Years ago.

He mentioned that nobody in the Company has the authority to speak about how the algorithm works, since nobody even knows it, by design.

There are people working on different fragments.

They even have their employees to sign a major NDA not to spill anything that could hint at Company secrets, after they leave the Company.
 
Ai content is fine as long as its provide value for users, I have a blog website which is fully AI content and ranking at Google 1st page, You need to edit Ai content and make it helpful for your users.
 
Google doesn't care if the content was written by human or by AI, it just needs to answer the intent of the search and be better then the current ranking pages on the topic.
 
Everyone keeps repeating that Google is okay with AI content—as long as it’s “helpful.” But let’s be honest… how many AI-heavy sites have you seen survive recent updates?
I’ve tested this across multiple niches:
Pure AI sites → indexed fast, then wiped out
AI + light human editing → lasts a bit longer, still drops
Fully human-written → slow growth, but stable rankings
So what’s really going on?
Is Google quietly flagging AI patterns despite their public stance?
Or is the real issue that most people are just pumping out low-effort AI junk?
Here’s the controversial part:
I’m starting to think AI content itself isn’t the problem…
The problem is that AI makes it too easy to mass-produce mediocrity
And Google is getting better at detecting that, not just AI.
Curious what others are seeing—
Are you ranking AI content long-term, or just riding temporary traffic spikes?
Why this works:
Challenges Google’s public claims
Invites real case studies (engagement bait)
Positions you as someone testing, not guessing
Sparks debate between “AI believers vs skeptics”
AI content is generic therefore because AI's content is of the same value for everyone, it tends to drop in rankings.
 
Everyone keeps repeating that Google is okay with AI content—as long as it’s “helpful.” But let’s be honest… how many AI-heavy sites have you seen survive recent updates?
I’ve tested this across multiple niches:
Pure AI sites → indexed fast, then wiped out
AI + light human editing → lasts a bit longer, still drops
Fully human-written → slow growth, but stable rankings
So what’s really going on?
Is Google quietly flagging AI patterns despite their public stance?
Or is the real issue that most people are just pumping out low-effort AI junk?
Here’s the controversial part:
I’m starting to think AI content itself isn’t the problem…
The problem is that AI makes it too easy to mass-produce mediocrity
And Google is getting better at detecting that, not just AI.
Curious what others are seeing—
Are you ranking AI content long-term, or just riding temporary traffic spikes?
Why this works:
Challenges Google’s public claims
Invites real case studies (engagement bait)
Positions you as someone testing, not guessing
Sparks debate between “AI believers vs skeptics”
How do you recommend? Creating articles and filling out a website with or without AI, doing everything yourself and in your own words? Which would be better?
 
Value matters.

I own a blog network in a few niches but the same market. 100% built with automation. i wouldn't say AI cause 75 percent of the websites and backlinks profile were built before the AI era, however all automated.. Before AI it was scrape and spin with re writers / spinners like word ai , spin rewritter. images edited with photoshop / CC / Canva and pulled videos from youtube and built backlinks by tools. nowdays i use agents and plugins (cause i have purhcased multiple plugins over the years so i still use them). what i want to say is all written by AI / scrape and rewrite works fine. now i build 2 websites per week at least thanks to AI.

Give the real value. every single website i build is super fast , read friendly and highly technical. and also build backlinks. nowdays many forget that part.

edit for typos english is my 3 or 4th language lol
Which free tools you use to build backlinks?
 
Which free tools you use to build backlinks?

I don't think there are truly free link building tools since it costs to develop and maintain those engines and options. However, GSA SER is a one-time fee tool where you can build decent link building diversity across forums, articles, wikis, video platforms, etc. It's a one-time fee. Sorry for the late reply - I don't come here often. However GSA comes with a free trial i guess 7 days ot 10 days.
 
It's not about punishing AI content it's;

a) low effort content and doing it at mass but single entrepreneurs are not a media news powerhouse (EEAT winks here)
b) "first class cms" produces a lot of crawl waste urls
c) the niche is conquered by big media sites who not have the EEAT for this, but got their right won in court, that big G sends them the traffic first to these broad keywords, they won in court the right about that.

Whereas blogs (on own domain) from sicilicon valley genius people not get scraped by AI.
 
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