Secret pagerank

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OP do you have any examples of these SEO transistor websites? So we can see the link structures and how well they are ranking?

Having read the 1st page, my head hurts!

Agree with @jamie3000, some examples of sites employing this strategy would help us to actually understand it.

jamie3000 said:

OP do you have any examples of these SEO transistor websites? So we can see the link structures and how well they are ranking?

Click to expand...

this would be huge help

And what is wrong with real reviews on the link to the site and a screenshot from 2016? I told you that the technology is not in demand in Russia. I had about 20 transistors in public in 2016. All of them were IN the TOP10 in Yandex at the time. Today, almost all sites have been deleted. And I don't want to show the ones that are left. I'm a bad webmaster. But I still have leads in the mail from them. However, these are mainly product suppliers who wanted to cooperate with my sites. As you know, suppliers spam their offers to sites that are in the Top. In addition, the Russian TOP will hardly impress you. If you search my Facebook, you can find a lot of screenshots from different periods of 2014-2016, when I was actively promoted in the Russian market. These screenshots showed the stages of acceleration, the growth of positions in the cycle, and so on. If someone really wants to poke around in all this-welcome to my Facebook. You will have no doubt of the truth of my words.

And just in the summer of 2018, my technology was able to promote the Moscow site for the request "plastic Windows" in the TOP10 on the site oknastreet.ru This is a very competitive request. seo transistor was promoted to the TOP1 in Moscow search query "eco-product" site eco-lakomka.ru
You can contact the marketers of these companies or any person listed in the testimonials with thanks. There is also feedback from top Yandex managers. All this can be viewed and checked.

Today I am busy with other projects and seo is not interesting to me as before. If you are interested in my startups in the field of decentralized search algorithms or new types of social networks, I would be happy to discuss the partnership.

A couple of years ago I was already on your forum, most likely I showed examples in the last branch. I don't remember exactly, look, maybe there are screenshots or links to see an example of structures. But I assure you, there is nothing unusual. Normal internal pages, normal texts of links in the menu to internal pages, or Vice versa. Nothing ordinary at all. The diagram in the figure fully reflects the structure. It's very simple.

You should understand that this technology is not a magic pill. As someone here correctly noted, the completion of cycles and their number depends on many other factors, except for the reference ones. So the cycle can stop for competitive topics and poorly made sites on TOP50 and TOP3 if you are lucky. Who knows when the overclocking resource will be exhausted and where it will stop? I can't tell you that. If conventional technology stops relevance at the TOP100 position, how are you going to measure the quality of transistor technology with a stop at the TOP20? You say "Fi" is not interesting. But this does not mean that the technology did not work as effectively as possible. You all know that manipulating one factor is impossible to adequately evaluate a particular technology. It's not very professional.

This is all going into an eBook. I'm scraping all relevant data for it as I speak. Thanks for the ideas, Tarasov!

I shall double check with my friend in AI first, see what he thinks of it.

DON'T MENTION IT

Well it's hardly investment grade right now. Not even at tier 1. If my AI guy confirms there's something comprehensible then I shall get one of my seo minions to start testing. Until that time it is entertainment grade. But at least your hardware analogies shall help to embellish the pdf.

So let me get this right, this works on g00gle, but not Yandex anymore right?

the "thank you" bonus rule has been working in Google since 2016, and in Yandex since 2009. The technology is built on this and therefore works equally in all search engines.

in 2016, google enabled this rule, so the entire PageRank was recalculated and the toolbar value was disabled. Without this rule, the correct balance of PageRank on the Internet is not possible. Yandex realized this earlier. Doubts about the fact that the technology works in Yandex and does not have to work in Google are stupid and untenable. There is no other way to keep the system in balance. There is also the same rule for all that the maximum influence in the ranking takes the strongest signal, which has the maximum completeness and accuracy.
The difference in link structures forcibly and identically for Yandex and Google provides a defining basic ranking signal for each seo transistor site: Semantic or trust. This concept can't change either, which guarantees that the technology will work in exactly the same way. Those who do not understand these obvious things require proof of examples of the use of technology in Google.
I do not require you to have a deep understanding of these well-known and simple truths, but I do not have examples for Google, because I do not know the language and have never made transistors for Google myself.

Hi !
Interesting method. I have few questions.
1) How much internal pages pointing to homepage should have site 1 ?
2) I understand that Site 2 should have outgoing links to internal pages and external pages, so how to choose external pages ? I should link to my competitors pages which are on TOP 10 positions ?
3) On site 1 and site 2 I should use sematic anchors ?
4) Should I link from site 1 homepage to site 2 from the begining ?
5) How can I give boost from this 2 pages to my money site/client site ? Money site should link out to site 1 ?
Thank You

netkam said:

Hi !
Interesting method. I have few questions.
1) How much internal pages pointing to homepage should have site 1 ?
2) I understand that Site 2 should have outgoing links to internal pages and external pages, so how to choose external pages ? I should link to my competitors pages which are on TOP 10 positions ?
3) On site 1 and site 2 I should use sematic anchors ?
4) Should I link from site 1 homepage to site 2 from the begining ?
5) How can I give boost from this 2 pages to my money site/client site ? Money site should link out to site 1 ?
Thank You

Click to expand...

Generic barely understandable wall of text incoming...

the number of internal pages is determined by the semantic graph, the center of which is the main query (from which the graph is built). The graph is ranked in descending order in percentages for each search query. Key queries of the entire graph are taken for 100%. Internal page headers (anchors), which are links in the site menu, specify requests with a share of up to 1%. The rest are ignored. Thus, there may be about 10-15 of them. It all depends on how the graph is built.

You can only link to competitors with the nofollow attribute. This attribute removes responsibility for the recommended link click. This means that the site owner does not guarantee the quality of the material on the other side. But this link transmits the second part of the ranking signal (the semantic part). Therefore, the trust bonus (thank you) on the link from nofollow to external sites is calculated in a more complex way (several updates are required). I don't want to confuse you by explaining the details with a Google translator.

There are several ways to connect site1 site2 to many sites. The specified image shows only one of the methods.

In addition to internal pages created for the purpose of pumping up semantics or getting the amount of "thank you" bonuses in the form of an additional PageRank, there are pages on any site with a different purpose. Tuning. This includes a contact page, video content, pictures of products, a page with a unique offer, promotions, customer reviews, certificates and awards, and so on. If possible, all these tuning pages should also play a role in the initial task and match the selected structure.

External links to other people's sites play a huge role in analyzing the semantic meaning of content. The power of this influence is often equivalent to the power of title or h1-h2. External link anchors are hubs of attention that carry a secret reason for the transition. The hidden secret reason for the transition is more important than the information on the other side. It can change the attitude of the Google search algorithm to the entire page and even the entire site. Here you need to explain in more detail and give examples. Based on the analysis of reasons: Why? For what? Who is the beneficiary? Google makes a conclusion about how to relate to the ranking of content and how to change the significance coefficients of words in the text. The natural behavior of a person when building links inside a site is characterized by clear templates and stereotypes. A set of these stereotypes is known to Google.

Commercial sites in the Top are very responsible for outgoing links from them. The decision to install each link is made at the business owner level. He identifies each external recommendation with the word of a gentleman and bears a business reputation responsibility. Google knows the extent of this responsibility and uses this significance in evaluating PageRank weights and "thank you"bonuses. Often this word of the Director costs tens or hundreds of thousands of dollars. For example, if this is a link to an authorized dealer. This is not just a link, it is a partner guarantee.

The higher the site is in the TOP, and level of nesting pages, the greater the measure of this responsibility and the stronger the external link distorts the relevance of the entire text on the page. The accents that occur in this case can change the relevance of the optimized text by 50%! Therefore, in seo transistors that use external outbound links, you need to be very careful. If you put an external link, be sure that the Google algorithm will begin to find out the reason for your action and compare it with existing patterns and stereotypes. Suspecting the unnatural nature of your intentions, you are penalized. This is what you call AI in Google.