Search engine optimization at scale

Abstract

A method for optimizing search results for an entity includes determining a grouping for actions related to an entity. The grouping may include a plurality of terms. The method may also include searching a network for the terms associated with the grouping. Thereafter, results of the searches may be analyzed to determine a rank for the entity within the results.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application is a continuation of U.S. patent application Ser. No. 12 / 853,884, filed Aug. 10, 2010, and titled SEARCH ENGINE OPTIMIZATION AT SCALE, which is incorporated herein by reference in its entirety.BACKGROUND OF THE INVENTION[0002]The Internet has changed the way people gather information, establish relationships with one another and even how people communicate with one another. Additionally, the Internet has changed the way companies seek potential customers and even what the meaning of a business is. It has changed the way companies advertise, sell, coordinate with one another and compete with one another. With this change has come a huge explosion in the number of Web Pages for people to visit. Search engines, such as Google, Bing, Yahoo and others have come into being to help people find their way to Web Pages that they desire. As a result, the number and types of channels that a marketer can leverage has also exploded—bey...

AI Technical Summary

Benefits of technology

The patent describes a method for optimizing search results for a specific entity by creating a list of related terms and searching for those terms in a network. This results in a ranked list of relevant information related to the entity. The technical effect is improved search results for specific entities.

Problems solved by technology

However, they cannot determine how many visitors came as a result of a particular search engine result and rank position to the Web Page, instead they must estimate this based on the data (referral header) passed to the web page which only helps them determine the number of visitors that came from a specific keyword.

Without understanding key attributes of their performance on the search engine, they cannot accurately determine the effectiveness of their marketing efforts.

Accordingly, a Web Page owner might be confronted with limited marketing budgets that allow them to either improve their ranking in search engine results or that will place advertisements for their Web Page on other Web Pages but not both.

For large websites, managing content, external references (e.g., links from third parties) and other relevant data has always been a challenge because of the scale.

Consequently as a result of scale, the sheer number of Web Pages for large websites makes it impractical to apply traditional marketing analysis to apply opportunity, forecasting or even basic performance monitoring / reporting for millions of pages and millions of unique keywords associated with actions related to the entity.

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