Website content acquisition strategy supported by Big data

This article does not discuss the pure SEO problem, but focus on the big data of Baidu, the collection of content to screen, so that the content has congenital advantages, and naturally get ranked.

Basic principle:

Suppose there is now a page, content has been determined, Baidu scored it is 98 points (percentile).

If there are 100,000 pages in the same subdivision category as the page, the page is approximately 第2000-3000位.

If there are only 100 pages in the same category as the page, the page is approximately 第2-3位.

The so-called "the same subdivision category", that is, the search for a keyword to display the number of results, but also can be understood as the amount included. In other words, the page quality is certain, the larger the number of keywords included, the greater the competition, the ranking of the more on the back, and vice versa. To sum up: the matter is precious to dilute .

As any mature website, should have its own keyword library. As a main collection of content to publish the site, it should be a priority to filter keywords, rather than the whole site to copy other people's content. In this paper, the Recommended keyword screening scheme, that is, the number of priority to include a few words. How is such a word acquired? How to know the amount of each word included? Webmaster's home Word network, has given the answer. From the word base to buy the industry's vast number of keywords, from which to filter the small and high index words, and then use these words as the target to collect content, will be more easily ranked.

Website content acquisition strategy supported by Big data