Research and Analysis of Search Engine Optimization Factors Based on Reverse Engineeing

Abstract

Search engine optimization (SEO) is a process of improving the prominence of a website. Following a reverse engineering approach, in this paper, we study and analyze the key influence factors in the process of web search. We firstly build a system to automatically crawl all factors of 200 thousand web pages. Then we make a content analysis including Page Rank, URL and HTML analysis based on top 20 positions of Google search result pages. Finally we derive top five factors for search engine optimization. It turns out that although SEO factors vary for different websites, the core SEO factors are similar. Therefore, in the common SEO, it is enough to focus on these core factors.