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Information on the web is prodigious; searching relevant information isdifficult making web users to rely on search engines for finding relevantinformation on the web. Search engines index and categorize web pages accordingto their contents using crawlers and rank them accordingly. For given userquery they retrieve millions of webpages and display them to users according toweb-page rank. Every search engine has their own algorithms based on certainparameters for ranking web-pages. Search Engine Optimization (SEO) is thattechnique by which webmasters try to improve ranking of their websites byoptimizing it according to search engines ranking parameters. It is the aim ofthis research to identify the most popular SEO techniques used by searchengines for ranking web-pages and to establish their importance for indexingand categorizing web data. The research tries to establish that using more SEOparameters in ranking algorithms helps in retrieving better search results thusincreasing user satisfaction.  In the accomplished research, a web based Meta search engine is proposed toaggregates search results from different search engines and rank web-pagesbased on new page ranking algorithm which will assign heuristic page rank toweb-pages based on SEO parameters such as title tag, Meta description, sitemapetc. The research also provides insight into techniques which webmasters canuse for better ranking their websites in Google and Bing.  Initial results has shown that using certain SEO parameters in presentranking algorithm helps in retrieving more useful results for user queries.These results generated from Meta search engine outperformed existing searchengines in terms of better retrieved search results and high precision.

Intelligent Search Optimization using Artificial Fuzzy Logics