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The same query submitted to different search engine agents can lead to dissimilar suggestions and results. Comparing these results can be time consuming especially with some queries generating millions of URLs. Thus an efficient tool to compare the diverse suggestions and determine which search engine is the best for a particular query is useful. In this study, we applied feedback collation Algorithm to create a tool that shall assist the user on which search engine to deploy for a particular query.