Navigable website analysis engine

• US 8,447,751 B2
• Filed: 11/18/2008
• Issued: 05/21/2013
• Est. Priority Date: 11/18/2007
• Status: Active Grant

• Current Assignee: Efficient Systems, LLC
• Original Assignee: Efficient Systems, LLC
• Inventors: Stouffer, Scott Allen, Stouffer, Maura Dennison, Fink, James Christian
• Primary Examiner(s): Saeed, Usmaan
• Assistant Examiner(s): ALLEN, BRITTANY N
• Application Number:
  US12/273,004
• Publication Number:
  US 20090132524A1
• Time in Patent Office: 1,645 Days
• Field of Search: 707/999.005, 707/726, 707/735
• US Class Current: 707/709
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking

Abstract

An optimization engine allows website publishers and other network document publishers to view and navigate statistics and scoring methodologies of a search engine. Publishers may thus gain a better understanding of how their website or network document is scored and how to optimize those documents to increase a search engine score. The user is thus able to navigate the network from the perspective of a search engine, viewing webpages, websites, and links in the same way a search engine would analyze them. Upon making changes to a website or network document, publishers may further request on-demand re-crawling of their website or network document to view changes in the score. Alerts may also be activated by a user to notify the user when certain conditions are met.

Claims

1. A method comprising:

receiving, by an optimization engine executing on a computing system, an identifier for a network document;

performing an on-demand analysis of the network document to determine a search engine score for the network document, wherein analyzing the network document includes;

determining a number of links included in the network document by analyzing a structure of the network document;

determining a number of incoming links to the network document; and

generating separate specific traffic-independent scoring analyses for each of the links included in the network document, wherein each of the separate specific traffic-independent scoring analyses are visually-navigable; and

generating, by the optimization engine based on the received identifier and independently of a user-specified search word or phrase, a display of the search engine score along with a first level of scoring detail for the network document, wherein the search engine score is determined by evaluating the network document using one or more traffic-independent scoring factors and wherein the network document is ranked based on the one or more traffic-independent scoring factors, and wherein the ranking is determined by combining the search engine score and a link flow distribution that indicates the likelihood that a user will access the network document relative to a second network document, wherein the network document and the second network document are within the same web site;

receiving a request to display details of the one or more traffic-independent scoring factors;

in response to the request;

generating, by the optimization engine, the details of the one or more traffic-independent scoring factors by performing an on-demand analysis of the one or more traffic-independent scoring factors; and

generating a display of a second level of scoring detail including the details of the one or more traffic-independent scoring factors, wherein the second level of scoring detail includes a plurality of non-traffic attributes.

2. The method of claim 1, wherein the network document is analyzed by a search engine separate from the optimization engine.

3. The method of claim 1, further comprising:

determining an improvement for raising the search engine score of the network document by analyzing at least one of;

a missing meta title, a missing meta description, a missing meta keyword, a duplicate meta title, a duplicate meta description, a duplicate meta keyword, and a broken link; and

displaying the improvement.

4. The method of claim 3, further comprising:

receiving a request to re-analyze the network document upon the improvement being made to the network document; and

re-analyzing the network document including the improvement.

5. The method of claim 3, further comprising generating a replacement document to make the determined improvement.

6. The method of claim 1, wherein analyzing the network document includes crawling the network.

7. The method of claim 1, further comprising:

receiving a request to create an alert relating to at least one of;

a document site, the network document and a portion of the network document, wherein the alert includes a user-specified condition to be met;

determining whether the user-specified condition has been met; and

in response to determining that the user-specified condition has been met, performing a specified action.

8. The method of claim 7, wherein the specified action includes crawling the network.

9. The method of claim 1, further comprising:

receiving a request to view a third level of scoring detail corresponding to penalties assessed to the network document; and

displaying the third level of scoring detail including details relating to the assessed penalties.

10. The method of claim 1, wherein the network document and second network document are webpages within the same website having a plurality of webpages, and wherein the link flow distribution of the network document indicates the likelihood that a user will access the network document relative to the plurality of webpages, the plurality of webpages including the second network document.

11. The method of claim 1, further comprising:

receiving a request to generate the search engine score and the first level of scoring detail from a system configured to generate search results, and

wherein generating the search engine score and the first level of scoring detail is performed in response to receiving the request from the system configured to generate search results.

12. The method of claim 1, wherein the on-demand analysis of the one or more traffic-independent scoring factors is performed in real-time in response to the request.

13. The method of claim 1, wherein the search engine score of the network document includes a link flow for the network document reduced by at least one penalty factor.

14. A non-transitory computer readable medium storing computer readable instructions that, when executed, cause an apparatus to:

receive an identifier for a network document;

perform an on-demand analysis of the network document to determine a search engine score for the network document, wherein the on-demand analysis of the network document includes;

determining a number of links included in the network document by analyzing a structure of the network document;

determining a number of incoming links to the network document; and

generating separate specific traffic-independent scoring analyses for each of the links included in the network document, wherein each of the separate specific traffic-independent scoring analyses are visually-navigable; and

generate, based on the received identifier and independently of a user-specified search word or phrase, a display of the search engine score along with a first level of scoring detail for the network document, wherein the search engine score is determined by evaluating the network document using one or more traffic-independent scoring factors and wherein the network document is ranked based on the one or more traffic-independent scoring factors, and wherein the ranking is determined by combining the search engine score and a link flow distribution that indicates the likelihood that a user will access the network document relative to a second network document, wherein the network document and the second network document are within the same web site;

receive a request to display details of the one or more traffic-independent scoring factors;

in response to the request;

generate the details of the one or more traffic-independent scoring factors by performing an on-demand analysis of the one or more traffic-independent scoring factors; and

generate a display of a second level of scoring detail including the details of the one or more traffic-independent scoring factors, wherein the second level of scoring detail includes a plurality of non-traffic attributes.

15. The non-transitory computer readable medium of claim 14, wherein the network document is analyzed by a search engine separate from an optimization engine of the apparatus.

16. The non-transitory computer readable medium of claim 14, wherein the computer readable instructions, when executed, further cause the apparatus to:

determine an improvement for raising the search engine score of the network document by analyzing at least one of;

a missing meta title, a missing meta description, a missing meta keyword, a duplicate meta title, a duplicate meta description, a duplicate meta keyword, and a broken link; and

display the improvement.

17. The non-transitory computer readable medium of claim 16, wherein the computer readable instructions, when executed, further cause the apparatus to:

receive a request to re-analyze the network document upon the improvement being made to the network document; and

re-analyze the network document including the improvement.

18. The non-transitory computer readable medium of claim 16, wherein the computer readable instructions, when executed, further cause the apparatus to generate a replacement document to make the determined improvement.

19. The non-transitory computer readable medium of claim 14, wherein the computer readable instructions, when executed, further cause the apparatus to:

receive a request to create an alert relating to at least one of;

a document site, the network document and a portion of the network document, wherein the alert includes a user-specified condition to be met;

determine whether the user-specified condition has been met; and

in response to determining that the user-specified condition has been met, perform a specified action.

20. The non-transitory computer readable medium of claim 19, wherein the specified action includes crawling the network.

21. The non-transitory computer readable medium of claim 14, wherein the computer readable instructions, when executed, further cause the apparatus to:

receive a request to view a third level of scoring detail corresponding to penalties assessed to the network document; and

display the third level of scoring detail including details relating to the assessed penalties.

22. The non-transitory compute readable medium of claim 14, wherein analyzing the network document includes crawling the network.

23. The non-transitory compute readable medium of claim 14, wherein the network document and second network document are webpages within the same website having a plurality of webpages, and wherein the link flow distribution of the network document indicates the likelihood that a user will access the network document relative to the plurality of webpages, the plurality of webpages including the second network document.

24. The non-transitory compute readable medium of claim 14, wherein the computer readable instructions, when executed, further cause the apparatus to:

receive a request to generate the search engine score and the first level of scoring detail from a system configured to generate search results, and

wherein generating the search engine score and the first level of scoring detail is performed in response to receiving the request from the system configured to generate search results.

25. The non-transitory compute readable medium of claim 14, wherein the on- demand analysis of the one or more traffic-independent scoring factors is performed in real-time in response to the request.

26. The non-transitory compute readable medium of claim 14, wherein the search engine score of the network document includes a link flow for the network document reduced by at least one penalty factor.

27. An apparatus comprising:

a processor; and

memory operatively coupled to the processor and storing computer readable instructions that, when executed, cause the apparatus to;

receive an identifier for a network document;

perform an on-demand analysis of the network document to determine a search engine score for the network document, wherein the on-demand analysis of the network document includes;

determining a number of links included in the network document by analyzing a structure of the network document;

determining a number of incoming links to the network document; and

generating separate specific traffic-independent scoring analyses for each of the links included in the network document, wherein each of the separate specific traffic-independent scoring analyses are visually-navigable; and

generate, based on the received identifier and independently of a user-specified search word or phrase, a display of the search engine score along with a first level of scoring detail for the network document, wherein the search engine score is determined by evaluating the network document using one or more traffic-independent scoring factors and wherein the network document is ranked based on the one or more traffic-independent scoring factors, and wherein the ranking is determined by combining the search engine score and a link flow distribution that indicates the likelihood that a user will access the network document relative to a second network document, wherein the network document and the second network document are within the same web site;

receive a request to display details of the one or more traffic-independent scoring factors;

in response to the request;

generate the details of the one or more traffic-independent scoring factors by performing an on-demand analysis of the one or more traffic-independent scoring factors; and

generate a display of a second level of scoring detail including the details of the one or more traffic-independent scoring factors, wherein the second level of scoring detail includes a plurality of non-traffic attributes.

28. The apparatus of claim 27, wherein the network document is analyzed by a search engine separate from an optimization engine of the apparatus.

29. The apparatus of claim 27, wherein the computer readable instructions, when executed, further cause the apparatus to:

determine an improvement for raising the search engine score of the network document by analyzing at least one of;

a missing meta title, a missing meta description, a missing meta keyword, a duplicate meta title, a duplicate meta description, a duplicate meta keyword, and a broken link; and

display the improvement.

30. The apparatus of claim 29, wherein the computer readable instructions, when executed, further cause the apparatus to:

receive a request to re-analyze the network document upon the improvement being made to the network document; and

re-analyze the network document including the improvement.

31. The apparatus of claim 29, wherein the computer readable instructions, when executed, further cause the apparatus to generate a replacement document to make the determined improvement.

32. The apparatus of claim 27, wherein the computer readable instructions, when executed, further cause the apparatus to:

receive a request to create an alert relating to at least one of;

a document site, the network document and a portion of the network document, wherein the alert includes a user-specified condition to be met;

determine whether the user-specified condition has been met; and

in response to determining that the user-specified condition has been met, perform a specified action.

33. The apparatus of claim 32, wherein the specified action includes crawling the network.

34. The apparatus of claim 27, wherein the computer readable instructions, when executed, further cause the apparatus to:

receive a request to view a third level of scoring detail corresponding to penalties assessed to the network document; and

display the third level of scoring detail including details relating to the assessed penalties.

35. The apparatus of claim 27, wherein analyzing the network document includes crawling the network.

36. The apparatus of claim 27, wherein the network document and second network document are webpages within the same website having a plurality of webpages, and wherein the link flow distribution of the network document indicates the likelihood that a user will access the network document relative to the plurality of webpages, the plurality of webpages including the second network document.

37. The apparatus of claim 27, wherein the computer readable instructions, when executed, further cause the apparatus to:

receive a request to generate the search engine score and the first level of scoring detail from a system configured to generate search results, and

wherein generating the search engine score and the first level of scoring detail is performed in response to receiving the request from the system configured to generate search results.

38. The apparatus of claim 27, wherein the on-demand analysis of the one or more traffic-independent scoring factors is performed in real-time in response to the request.

39. The apparatus of claim 27, wherein the search engine score of the network document includes a link flow for the network document reduced by at least one penalty factor.