Site Sub-page ranking is superior to the qualitative analysis of the home

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We will divide the SEO into two factions: white hat and black hat. This is based on the method of SEO used as a standard to divide. With Google's exit and the crackdown on black hats, and the diversification of Internet marketing methods, white caps have become mainstream. However, I think, in the white hat SEO, also divided into two factions: qualitative seo and quantitative seo. Before a person, most of them are half a monk, for what tile, code know very little, SEO knowledge is only a little understanding, they summed up some experience in practice, and then according to this experience to do, as long as can see the effect, will go all the way down. The latter kind of person belongs to the professional, they will analyze the density, long tail and so on indicators, and then continue to amend. Finally, we find that both kinds of people will achieve their goals.

It was like climbing a mountain, one saw the top of the mountain, and then crawled along the internet to reach the top of the mountain. Someone is constantly looking for ways to constantly revise their way and eventually reach the top of the mountain. The author belongs to the former.

Now I am faced with the question of why the site's sub page ranking will be more than the front page of the site?

A case

My keyword is "Suzhou equipment handling", SEO Main method of continuous original content update as well as building enough of the website stores, almost no other way to use. A week ago, the site under the keyword ranked top three in nature. But the recent site suddenly disappeared from the first three, but the site's news page appears in the Baidu keyword home. As shown in the following figure. This is the site page ranking than the first priority of the typical case.

Quantitative Analysis

Check out some information on the network on this issue and find that this is not a minority. The quantitative analyst gives such a few reasons. First, through the analysis of the sub-page keyword distribution, they think that the sub-page keyword density is higher than the homepage. This reason is not justified, the news of every piece of news page appears on the homepage, the first page of the keyword density should be higher than the home page is. Secondly, through the analysis of the structure of the website, they think that there is a problem in the internal structure of the website, because the homepage news box is dynamic. The scrolling news box led to the Baidu algorithm more preference for internal page static news. Although there is some truth, but more far-fetched.

So, to this problem, I think still need to use qualitative method to carry on the analysis.

Qualitative analysis, we need to answer such a few questions.

First, Baidu for the site of each child page and the weight of the homepage is equally distributed? will not appear the site sub page weight is higher than the first page. I think it exists. But because of the website structure, the homepage generally will embody the content of the child page, so this kind of situation rarely appears. If so, we can adjust the structure appropriately, and this will disappear.

Second, different keywords for the same site different page preferences are different? If a page's keyword density or original content, higher than the home, this is the optimization of the Thousand trillion. May appear the Keyword search results child page than the first home.

Solutions

I think there are several solutions to the sub page ranking before the first one:

First, the appropriate reduction for the sub-page optimization efforts. If you reduce the release of original content, reduce the distribution of sub-pages outside the chain, reduce the external links of child pages and so on.

Second, the appropriate increase for the home page optimization. For example, modify the home frame, so that the child page content better reflected in the homepage, such as for the homepage outside the chain to increase the intensity of the release and so on.

Third, appropriate change optimization methods. Avoid a single use optimization method. For example, the author encountered a problem, may be recently published in the news page a large number of original news caused.

Three kinds of solutions, the author has been in the experiment, the effect of how, remains to be seen.

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