DETECTION AND ANALYSIS OF BACKLINK ACTIVITY

• US 20120246134A1
• Filed: 03/19/2012
• Published: 09/27/2012
• Est. Priority Date: 03/22/2011
• Status: Abandoned Application

• Current Assignee: Brightedge Technologies Incorporated
• Original Assignee: Brightedge Technologies Incorporated
• Inventors: Yu, Jimmy, Park, Lemuel S., Ziola, Thomas John, Gouyet, Albert Marc, Liao, Lennon
• Application Number:
  US13/424,288
• Publication Number:
  US 20120246134A1
• Time in Patent Office: Days
• US Class Current: 707/706
• CPC Class Codes: G06F 16/957 Browsing optimisation, e.g. caching or content distillation

Abstract

Systems and methods for detecting and analyzing changes in backlink activity over a period of time are disclosed. For example, the backlinks to web-based content and websites of an entity and/or a competitor of the entity may be monitored over time and changes in the backlinks over time may be determined. Comparison of backlink activity over time may be used to evaluate the backlinks of the competitor to ascertain, group, or otherwise categorize or rank the reasonableness and level of authenticity and actual content value of the backlinks themselves and to determine whether such backlinks are likely to be “black hat” backlinks subject to penalization by search engines.

Claims

1. An automated system for analyzing changes in backlinks over time and comprising computer-executable instructions for performing a computing method, the computing method comprising:

examining changes in at least one backlink over a predetermined period of time;

processing changes in the at least one backlink over time using an algorithm configured to process large amounts of backlink data across multiple companies in the predetermined period of time; and

identifying changes in backlink activity over time that impact at least one of SEO effectiveness and relative SEO performance of at least one target marketing enterprises.

2. The automated system of claim 1, wherein the automated system is configured to make at least one of refined frequent comparisons of backlinks associated with internet content or a web page.

3. The automated system of claim 1, wherein identifying backlink change behavior that impact at least one of SEO effectiveness and relative SEO performance comprises summarizing volume changes to identify competitive behavior and industry trends that impact the at least one of SEO effectiveness and relative SEO performance.

4. The automated system of claim 1, wherein identifying backlink change behavior that impact at least one of SEO effectiveness and relative SEO performance comprises summarizing changes in at least of characteristics, types, and patterns of the one or more backlinks.

5. The automated system of claim 1, further comprising at least one of a backlink detector module, a competitor backlink detector module, a backlink change monitoring module, a backlink evaluator module, a genuine backlink identifier module, a black hat backlink identifier module, and a digital output filter module.

6. The automated system of claim 5, further comprising at least one of a backlink change algorithm module, backlink volume change algorithm module, backlink characteristic algorithm change module, backlink type change algorithm module, a backlink grouper algorithm module, a backlink categorizer algorithm module, a backlink ranker algorithm module, a backlink authenticator algorithm module, and a backlink web page content analyzer algorithm module.

7. The automated system of claim 1, further comprising a module comprising at least of hardware and software to configured to implement module function the module being configured to:

perform at least one of processing and filtering of digital output from the automated system; and

use information, data, calculations, rankings, rate of change and types of backlinks to determine if backlink activity of at least one competitor is based on high-value information content or on black hat backlinks.

8. The automated system of claim 7, wherein the automated system is configured to determine if at least one of the black hat backlinks is configured to trick an internet search engine.

9. The automated system of claim 1, wherein the automated system is configured to rank, order, categorize, or otherwise group backlinks according to an algorithm that processes information about company backlinks and backlink activity.

10. The automated system of claim 1, further comprising identifying a backlink as a black hat backlink.

11. The automated system of claim 1, wherein the automated system is configured to provide a list of one or more black hat backlinks to an internet search engine.

12. A method of analyzing backlinks, comprising:

monitoring a plurality of backlinks over a predetermined period of time, the backlinks associated with at least one entity of interest;

analyzing the plurality of backlinks to determine changes in the plurality of backlinks; and

comparing the changes in the plurality of backlinks over the predetermined period of time to evaluate authenticity of the backlinks.

13. The method of claim 12, wherein monitoring a plurality of backlinks comprises monitoring the plurality of backlinks to at least one of web-based content and websites.

14. The method of claim 12, wherein comparing the changes in the plurality of backlinks over the predetermined period of time comprises comparing the changes in at least one of backlink type, backlink characteristics, and backlink volume.

15. The method of claim 12, wherein comparing the changes in the plurality of backlinks over the predetermined period of time to evaluate authenticity of the backlinks comprising determining a black hat backlink.

16. The method of claim 15, further comprising generating at least one report comprising the black hat backlinks.

17. The method of claim 15, further determining at least one counter to improve backlink activities.