How a search engine indexer works is it gathers, separates and stores data for later use. The goal of a search engine indexer is to maximize speed and performance in finding relevant data for a search string. Web indexing integrates merge factors, index sizes, storage techniques, fault tolerances, lookup speeds, and maintenance levels to create a usable search engine index architecture. By utilizing linguistics, cognitive psychology, mathematics, informatics, and computer science search engine indexers are able to build complex data structures that can be accessed at any time. When creating a search engine index considerations include index design factors, index data structures, parallelism, inverted indices, index merging, forward indexing and compression. Search engine crawlers are how the search engine indexers get information, stay updated and free of negative results. When it comes to data parsing a search engine indexer must be able to handle natural language processing, tokenization, language recognition, format analysis, section recognition, HTML priority and meta tag indexing. Mastering the basics of how search engines work is a perfect way to enhance your comprehension of search engine optimization (SEO).