Abstract: A system and method for predicting a real-time change in an organic search ranking of a website is disclosed. The present invention provides a statistical model and a simulation interface capable of predicting a real-time change in an organic search ranking of a website. The system identifies one or more variables impacting the organic search ranking of a website and assigns an individual score to each variable. The system further enables the user to make modifications in the one or more variable and to visualize the real-time change in ranking by correlating an overall score with the actual organic search ranking.

Abstract: Methods and systems for estimating Click-Through-Rate. This invention relates to the Internet and more particularly to analyzing traffic on the Internet. Embodiments herein disclose methods and systems for estimating CTR (Click-Through-Rate) for a SERP (Search Engine Results Page) layout. Embodiments herein also disclose methods and systems for estimating CTR (Click-Through-Rate) for a SERP (Search Engine Results Page) layout, by considering the SERP attributes such as keyword, position of the ranking link, and so on.