  This paper presents an approach to identify efficient techniques used in Web
Search Engine Optimization (SEO). Understanding SEO factors which can influence
page ranking in search engine is significant for webmasters who wish to attract
large number of users to their website. Different from previous relevant
research, in this study we developed an intelligent Meta search engine which
aggregates results from various search engines and ranks them based on several
important SEO parameters. The research tries to establish that using more SEO
parameters in ranking algorithms helps in retrieving better search results thus
increasing user satisfaction. Initial results generated from Meta search engine
outperformed existing search engines in terms of better retrieved search
results with high precision.
