SearchAlyzer simultaneously queries the common search engines and compiles results into an interactive book with chapters, an index, and pages. Chapters are clusters of related pages. The pages are the search results. The index is automatically built from the pages. Pages and index words are processed so that by marking one or more of them, the relevance of all other pages and words is immediately updated.

Fast indexing and clustering meta search tool base on Latent Semantic Analysis or LSA. iMetaSearch gathers results (web pages, blogs, books, papers, etc) from search engines. It then uses LSA-produced concepts to index and cluster results. The result is that you can click on index words or search results and instantly find related words and results. Results are also grouped into hierarchical clusters where you set the number of clusters to show.