2 months old website gets 500k visitors/m with spun content

This thing is belong to that "programming change the world" old school mantra.
 
That's auto-generated summarized content, by A.I. They say on their twitter page they reached 4 million articles milestone... duh...
4 million articles? No wonder they getting that much traffic! But is all articles indexed?
 
4 million articles? No wonder they getting that much traffic! But is all articles indexed?

I guess not every one of the 4 mil... but even with a small percent of 5%-10% indexed that would still be a huge number...
 
Anyone know an app on shopify that can do this? A million articles sound interesting
 
It's not that easy to build like it looks like, maybe on first look site just scrape content and spin text but there is much more machinery behind that great design.
 
Google is getting retard nowdays.
I saw one website that rank for 1,000,000 monthly search in less than a day.

And I know how he do it.
But i’m just lazy. Lazy to spend $500 bucks
Also don’t want my server get jammed. :p
As the traffic is junk for that keyword, aint gonna convert much $$
I have servers, give it to me lol :P
 
Google is getting retard nowdays.
I saw one website that rank for 1,000,000 monthly search in less than a day.

And I know how he do it.
But i’m just lazy. Lazy to spend $500 bucks
Also don’t want my server get jammed. :p
As the traffic is junk for that keyword, aint gonna convert much $$


can't you replicate that for different keywords?
 
It's not that easy to build like it looks like, maybe on first look site just scrape content and spin text but there is much more machinery behind that great design.
I completly agree with you for example it seems they are scrapling data from wikipedia for some articles
 
This looks like a simple wiki site. They are probably trying to be a better version of wikipedia. Google prefers such sites as they only share info and not opinions. The info category covers dictionary, wiki, thesaurus, encyclopedia, education & scientific research, government sites, libraries etc. They will have high authority and trust score.
 
I think they made a cleaver point here. they are hammering googles readability with thousands of pages.
 
This kind of things doesn't last long. A manual review is on its way.
 
The site is quite legit for me as they claim themselves as a summarization website, which means they most likely generate non-duplicated content from other content. Another AI-based site. GPT 3 gonna be a big thing soon.
 
There is no summarization, it's straight plagiarized content. I just ran few pages through Quetext and 1text and it's over 95% plagiarized text, both tools show that.
 
always these threads of people who think spun content cant rank. then there is constantly proof and everybody is wondering how :P
instead of just assuming that something doesnt work, why dont you look at the facts instead of denying things without trying ?
spun/copied content works just as well as original super unique content written by the most expensive copywriter, its just about how you do it.
the other excuse then is "its not gonna last long / its going to get a penalty / blah blah blah" no its not it can last for years that way.
 
There is no summarization, it's straight plagiarized content. I just ran few pages through Quetext and 1text and it's over 95% plagiarized text, both tools show that.
I don't think you are completely right, I have also run several tests myself and here is what I found:
1. Quetext sucks, even completely original text written by a professional writer was shown to have %47 of plagiarism by them.
2. I have checked several articles using Grammarly plagiarism checker and most of them were below %40 and even then there were several sources.
3. If you do understand what summarization is then it is inevitable to have some percentage of plagiarism.
 
1. Quetext sucks maybe, but it shows you from where it's copied. It said 95% , and i also checked by hand that is one on one copy-paste
2. 40% is not 95%
3. I do understand what summarization is, i understand (at least the basics) how it's done with machine-learning. Summarization => shorter version of the original, keeping only the essence.
When there is 95% match, you have no summary.
 
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