Video Search Engine Optimization Using Keyword and Feature Analysis

Abstract

Growth of internet touched upon every sphere of life. Business is no exception to it. More and more companies and individuals are bringing their business online. Now a days videos are used as a tool to advertise and promote the business. Enterprises upload relevant videos on such promotional sites so that people can extract the most relevant video content. Users tend to choose the top ranked and the most viewed videos irrespective of their relevance. So, the key to provide suitable content is Video Search Engine Optimization (VSEO). This research paper proposes a method to optimize the video rank by exploiting video search engine's searching strategy that will eventually lead to increase in number of views of videos with higher ranks and thus promoting corresponding website for every visit. For experimental purposes, youtube.com has been considered. To promote white hat SEO, a technique is suggested that uses keyword tags in title, description and transcript. Ranks of videos are analysed before and after VSEO. The main idea of the proposed strategy is to select appropriate keyword tags based on navigational search queries, transactional search queries and informational search queries.