The site is completely down. Did you notice? What could be the issue?are you familiar with mvorganizing.org?
The site is completely down. Did you notice? What could be the issue?are you familiar with mvorganizing.org?
It's not down, just your region is blocked by Cloudflare settings, you can see it through VPN.The site is completely down. Did you notice? What could be the issue?
No, I mean the site ranking has dropped significantly.It's not down, just your region is blocked by Cloudflare settings, you can see it through VPN.
Please keep us updated on wether or not Colab Pro+ works well for it.Looks like it's going well, I'm also like 90% done with my bot, it's taking between 400 and 700 seconds to produce a full article with relevant subheadings etc.. I plan to run the whole thing on Colab Pro+ see how it does because my computer is nowhere near strong to those machines.
yes to bothHi bro, also curious if u do a competition check for each keyword you load in?
for the website u using the bot, are all articles created in the same niche?
thanks, bro
they come from my database, I scrape the serps for each keyword and top 10 articles, find the most popular n-grams in each article to extract the most relevant phrases for each keyword. My app is over 10k lines of code at this point, after refactoring and optimizing it twice.am also very confused of this part, bro,
how can you add "semantically relevant keywords"? where do these relevant keywords come from?
you add them in the kws scraping list? or scraped from the result page?
Thanks so much if u can give a bit of explanation.
you have to dig deeper. there are cheaper options, and also I only check keywords with volume.i checked serp api sites but they are more expensive than you said. and limitation is on the limit. 5.000 search 50 usd how did you do it with much cheaper ?
1 search means 1 keyword right ? then just 5.000 keyword you need to pay 50 usd. i saw another thread guy had 400-500k long tail keyword thats end up more than 5000 - 6000 usd
they got hit by manual action, traffic almost down to 0.No, I mean the site ranking has dropped significantly.
How do you check relevance?extract the most relevant phrases for each keyword.
I think I've ended up at a lot of these types of sites recently via Google, I would never have thought they were auto-generated.Check these:
mvorganizing.org
dengenchronicles.com
sidmartinbio.org
easierwithpractice.com
janetpanic.com
sluiceartfair.com
idswater.com
colors-newyork.com
holidaymountainmusic.com
restaurantnorman.com
greedhead.net
rehabilitationrobotics.net
everythingwhat.com
askinglot.com
people are banking HARD on AI-generated sites... I hope I'm not too late to the game before Google penalizes this.
The first site got to 5mil visits/month in 6 months
extract n-grams from top 10 articles in the SERPs for each keywordHow do you check relevance?
You extracet the most important phrases from the articles, but how do you check that the phrases are semantically related to the keyword?extract n-grams from top 10 articles in the SERPs for each keyword
data science. I'm sorry but it's too long to explain statistics here. You need to interpolate the data between keywords.You extracet the most important phrases from the articles, but how do you check that the phrases are semantically related to the keyword?
google SERP apisFirstly, thanks for such an awesome read. You’ve inspired me to take action and build my own tools. I have a question for you about keyword research. If we’re aiming for tens of thousands of keywords, how do we properly research those? Usually we might look at
But how to assess all these metrics for such a high volume of keywords? Perhaps we just look at search volume using Moz? Not expecting you to divulge too much info on your strategy, just some pointers on doing research for at this scale? Thanks.
- Backlink/Referring Domain count
- Allintitle results
- Relevance
- Content length and quality
- Types of websites ranking
- SERP History
Sorry, to be clear, I’m asking about selecting keywords, not getting search engine results.google SERP apis
let me show you an example. 2 keywords that contain the word "rust". one is about the programming language, the other is about a nike sneakerYou extracet the most important phrases from the articles, but how do you check that the phrases are semantically related to the keyword?
I'm scraping PAAs and Autocomplete for the most part. If that's what you're asking.Sorry, to be clear, I’m asking about selecting keywords, not getting search engine results.