[Journey] 1 million UVs/month in 12 months using AI generated content. Let's do it!

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people on Reddit are saying that PAA/AI sites are dead. how are you doing?

100% dead: https://datastudio.google.com/u/0/reporting/7db9eb94-334e-4ba1-9847-d0155f291a83/page/LuRfC

[sarcasm off]

It feels like both updates are boosting AI/PAA sites. I think Google is going back to basics with shorter form content and LSI keywords LOL. I know a dozen guys that are doing similar things and 90% are doing great.
 
Hey again,

Have you managed to make automating external links reliable for all niches, or you just stick doing it for specific niches where you have a few specific reliable sources like pubmd?
Because keyword + .gov or .edu often times returns unreliable results, other blackhatters using those subdomains to post garbage etc.

Also wanted to show my appreciation for this thread and the transparency you showed through your journey, got my automation to a level I wouldn't believe it was possible just a month ago. Wish you the best of luck with your sites and your other ventures.
 
Hey again,

Have you managed to make automating external links reliable for all niches, or you just stick doing it for specific niches where you have a few specific reliable sources like pubmd?
Because keyword + .gov or .edu often times returns unreliable results, other blackhatters using those subdomains to post garbage etc.

Also wanted to show my appreciation for this thread and the transparency you showed through your journey, got my automation to a level I wouldn't believe it was possible just a month ago. Wish you the best of luck with your sites and your other ventures.
Right now I'm not doing external links for a while. I don't feel it changes that much.

thanks!
 
Which sites do you use fresh domain?
How many articles on them?
How many articles do you post per day?
it grows so nice.
I use primarily aged domains.
Some used expired domains with Wiki backlinks.
anywhere from 1k to 20k articles.
I post and ping 200 articles/day. But on many sites, I stopped. I usually post a bit on many sites, then wait 2-3 months to see which sites are performing well and work on the best sites. There is a lot of luck involved with niche choice.

thanks for the kind words :)
 
I use primarily aged domains.
Some used expired domains with Wiki backlinks.
anywhere from 1k to 20k articles.
I post and ping 200 articles/day. But on many sites, I stopped. I usually post a bit on many sites, then wait 2-3 months to see which sites are performing well and work on the best sites. There is a lot of luck involved with niche choice.

thanks for the kind words :)
Very nice, thanks.
 
Thank you @Sartre for so much useful information

Can you please give some advice about keyword research?
What tools are you using?
Keyword Magic tool by semrush is good?
 
Nice. Do links sent back to your main page help? Or do they need to link to your articles themselves. Thank you
 
I know you only target Google, but can you check if your site - with that posting rate - is/are still indexed on Bing?
the older generation of sites (paraphrased) are partially indexed in bing.

the new generation (AI generated) sites are fully indexed in bing.

Hey @Sartre with the content that you post so much, isn't there keyword cannibalism?

Yes. I have an argument in my app, which I call "-no_dupes" that prevents duplicate keywords. But recently I'm not using it. I prefer to post 10 similar articles, and then I have a module that analyzes which articles variant works the best when it comes to impressions/clicks and removes 9/10 after 2 months. It's like fishing for keywords/perfectly crafted content for Google.

Nice. Do links sent back to your main page help? Or do they need to link to your articles themselves. Thank you
I'm not exactly sure what you're asking here.

Thank you @Sartre for so much useful information

Can you please give some advice about keyword research?
What tools are you using?
Keyword Magic tool by semrush is good?
At this point, all of the tools I'm using are built by me.

My keyword research process looks like this:


I know this might sound unbelievable, but my keyword research process is anywhere from 50 to 100 times more efficient than Semrush. In fact, my app is not only in a different league, but we're playing different games altogether.

Sorry for sounding cocky, but I've been coding my life away for a year to create this :)

Let me prove it:

How Semrush operates:

1. They got a database of, let's say, 2B English keywords and their respective SERPs.
2. They calculate the DA and PA for each page they know of based on their vast backlink database.
3. You search for "Pilates." They query their keyword database and sort the keywords by the pages that have the lowest PA and DA and calculate the KD this way.
4. MAYBE they do some additional relevancy checks on demand. I haven't used them in a while Semrush and Ahrefs KD never worked for me very well.

BTW, I don't think KGR is a good indicator of difficulty. Think about a keyword like "female divorce attorney north Los Angeles". Low volume, low allintitle, huge CPC, huge competition.

How my app works:

1. I've got a database of 1B English keywords.
2. I will query the word "Pilates." Let's say I will get 20k results.
3. Now, my 48-core server running 300 threads/proxies will scrape the Google Knowledge Graph — up to 200 People Also Ask, Google Autosuggest, and Related Keywords. Per keyword. This takes a week. Now, let's say we have 400k unique keywords with the word "Pilates" in either keyword or the snippet. Including keywords like "What kind of workouts does Kim Kardashian do?"
4. Now, I will run an analysis using a SERPs API service to discard all the keywords that have 0 US volume. We're down to 20k keywords.
5. Now, we analyze each of these keywords using the server mentioned above. My app will go and read every article on page 1 to analyze topical relevancy to that keyword/snippet. Also, taking into account domain authority, but not to the extent Semrush does. Bonus points if we find user-generated content(Reddit, Quora, forums, etc.) This step takes a couple more days.
6. We end up with 2k keywords, which are relatively easy, depending on the niche.
7. Rinse and repeat or scale to more servers if I'm working on a big project.

I use this keyword research process to get the keywords and outlines for writers for my white hat sites. This way, if I pay $100 for outsourcing an article, I have a better chance of ranking high, so my money is better spent and I almost always make a relatively quick ROI.

For computational reasons, services like Ahrefs or Semrush can't compete with what I'm doing because they have tens of thousands of customers (or hundreds of thousands?), and I only run a few dozen of sites at a time. Another reason is — everyone searches for "Pilates" on Semrush keyword explorer, and they will instantly take all the good keywords, so it's kinda pointless anyway.
 
@Sartre

Are the keywords you use, detected through your app, ALSO present in the listings provided by Semrush and Ahrefs & C., or are they ONLY present in your app?
Thank you in advance if you would like to provide this guidance.
 
I've got a question for you, how the hell do you have all those ideas? I'm just 21 and most of the time I have no clue what I'm doing. I just keep learning stuff and hoping that perhaps someday it will be useful for me.

Did you have any similar experience?
 
I have a request for advice @Sartre , my friend and I started a PAA scraping site just to test and build up a scraper. We are just in the early stage but we are doing ~3-4k articles per day with ~30 PAA per article, we also generate an image for each piece.

Now we plan to work on sorting PAA by relevance and then compiling an article for related PAA's, as we all know google PAA suggestions are somewhat bad, in most cases it includes some random rubbish.

And now I am wondering what should we take as the next step. Should we multiply the number of sites and wait for them to hopefully kick in and start bringing something in terms of profit, as atm we are limited on the expenses? Or you would suggest another approach.

Looking down the line in the process, we want to apply paraphrasing and expansion on PAA so that we would have more unique and related content, and reduce the amount of PAA's per article. This then will let us have more topic-related articles, as related PAA's will be used more efficiently.
 
@Sartre

Are the keywords you use, detected through your app, ALSO present in the listings provided by Semrush and Ahrefs & C., or are they ONLY present in your app?
Thank you in advance if you would like to provide this guidance.
complex answer.

so let's say I found a keyword "will pilates make my buttocks bigger" using my app, and that article is getting 2000 monthly visits now cause it ranked for 200 related keywords within 2 months.

if I search just for pilates on Semrush/Ahrefs, this keyword will not be displayed in the pool of keywords they provide by default. If I search for "pilates buttocks," it will. But how am I supposed to know that I'm supposed to search for that? Also, their KD is wildly inaccurate. For example, they often rate KD as high because NYtimes is ranking page 1 with an article that is barely on point and still easy to outrank.

Now another points is that my app is reading articles/snippets so I can find keywords like "What kind of workouts does Kim Kardashian do," as I mentioned before. These are impossible(?) to find using the mainstream tools.

I've got a question for you, how the hell do you have all those ideas? I'm just 21 and most of the time I have no clue what I'm doing. I just keep learning stuff and hoping that perhaps someday it will be useful for me.

Did you have any similar experience?

Reading/learning a lot. I have ADHD and several other innate mental issues. I'm not joking. I have to be medicated, or I'm in trouble. It's both a blessing and a curse. My brain is on full throttle most of the time...

Also, in my 20s, I had a ton of ideas but didn't have the persistence and work ethics to deliver until the end. I used to start a new project every month for 5 years and never get anywhere really. It changed in my 30s, especially when my daughter was born.

Do you have any example for easy keywords? :)

I gave an example above. I'm not going to paste an untapped keyword here because you know what will happen in 5 minutes :)

I have a request for advice @Sartre , my friend and I started a PAA scraping site just to test and build up a scraper. We are just in the early stage but we are doing ~3-4k articles per day with ~30 PAA per article, we also generate an image for each piece.

Now we plan to work on sorting PAA by relevance and then compiling an article for related PAA's, as we all know google PAA suggestions are somewhat bad, in most cases it includes some random rubbish.

And now I am wondering what should we take as the next step. Should we multiply the number of sites and wait for them to hopefully kick in and start bringing something in terms of profit, as atm we are limited on the expenses? Or you would suggest another approach.

Looking down the line in the process, we want to apply paraphrasing and expansion on PAA so that we would have more unique and related content, and reduce the amount of PAA's per article. This then will let us have more topic-related articles, as related PAA's will be used more efficiently.

Less PAAs per article. 7-13. 800-900 words of content. Work on the articles until they are close to human quality. It really is possible, just gotta think out of the box a bit. I'd instead post 200 good articles than 3-4k shitty ones.

About traffic/scaling - you will get there. Just try a few sites in a couple of different niches first.
 
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@Sartre
I use primarily aged domains.
Some used expired domains with Wiki backlinks.
anywhere from 1k to 20k articles.
I post and ping 200 articles/day. But on many sites, I stopped. I usually post a bit on many sites, then wait 2-3 months to see which sites are performing well and work on the best sites. There is a lot of luck involved with niche choice.

thanks for the kind words :)
is that 200 per day in total or its per website? if it's per website what do you think if it's safe to index them via indexing api (everytime i tested with more than 30 on warmed up website i ended up being flagged and indexed count starts decreasing until i end up on that 3 result penalty)
 
@Sartre

is that 200 per day in total or its per website? if it's per website what do you think if it's safe to index them via indexing api (everytime i tested with more than 30 on warmed up website i ended up being flagged and indexed count starts decreasing until i end up on that 3 result penalty)
per day. I'm using aged domains and indexing all.

There's a lot of luck and a bit of experience(or maybe the other way around) involved when choosing niches. My sites built for this journey are still doing fine: https://datastudio.google.com/u/0/reporting/7db9eb94-334e-4ba1-9847-d0155f291a83/page/LuRfC
 
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