SEO optimization tips for building and promoting a website network

Concept and Application Fields of Website Clusters

Website cluster actually refers to a collection of websites, but it must achieve unified, hierarchical management, information sharing, and single sign-on. Now, website clusters have been widely used in various fields, such as government portal website clusters, large enterprise website clusters, industry website clusters, etc. The operation mode of website clusters is generally one person or a team managing multiple websites, with the aim of obtaining a large amount of traffic through search engines or improving the search ranking of a website by directing links to the same website.

Considerations for Building and Promoting Website Clusters

1. Do not use cross-links between website clusters:

Clearly define the service direction of the website cluster to avoid cross-links between website clusters. Some online promoters hope that website clusters can bring external link votes for their websites' keywords, and even improve PR values. However, linking between website clusters will be recognized by search engines as a link factory. Once discovered, it will be penalized.

2. Avoid using similar server IPs for website clusters:

In the process of online promotion, it is important to avoid sites with similar IP addresses. Changes in IP can affect the speed of site indexing, while other pages may be less affected. Therefore, to prevent forum hijacking or malicious transfers, attention should be paid to IP selection.

3. It is recommended to avoid duplicating articles on cluster sites as much as possible.

Many online marketers like to use cluster sites for resource collection and publication, but publishing a large number of duplicated articles will result in poor indexing effects. It is suggested to use randomly combined articles or pseudo-original content to make the articles more unique.

4. Differentiation strategy for site information:

If the main site is an e-commerce forum, it is possible to concentrate the categories for central statistics, making different categories into one or two sites. These sites have low similarity to each other but high similarity to the main site, which can bring more value to the main site.