A method of increasing search engine optimization performance of a social media webpage of an entity
Abstract
One example includes a method of increasing search engine optimization (SEO) performance of a social media website of an entity. The method includes obtaining SEO data from a webpage of the entity and obtaining SEO data from the social media webpage of the entity. The method further includes generating a report based on the SEO data from the webpage and SEO data from the social media webpage that indicates a level of the search engine optimization performance of the social media webpage of the entity.

Term
No projected expiry on record.
- Priority
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16 claims: 7 independent, 9 dependent
- 1一種增加一實體之一社會媒體網頁(social media webpage)之搜索引擎優化(search engine optimization;SEO)性能之方法,該方法包含:識別位於該實體之一網站上之該實體之該社會媒體網頁之一個或多個外部參考;判決位於該社會媒體網頁上之多個社會媒體回應之總數量,其中該等社會媒體回應包含有透過該社會媒體網頁之一使用者所產生並位於該社會媒體網頁上之資料,其中該資料可被該社會媒體網頁的其他使用者所閱讀;分析用於該實體之參考之位於該實體之該社會媒體網頁之社會媒體回應,藉以判決參考該實體之社會媒體回應的數量;比較該等社會媒體回應之總數量與參考該實體之社會媒體回應的數量;識別用於該實體之該社會媒體網頁之社會媒體應答之數量;以及根據參考該實體之社會媒體回應的數量與該等社會媒體回應之總數量之間的比較、所識別之該一個或多個外部參考以及該社會媒體應答之數量中的一個或多個而產生一推薦,該推薦係關於改變與該社會媒體網頁相關的一參數,其中執行該推薦,藉以提高該社會媒體網頁之互聯網流量和/或搜索排名。
- 2如請求項第1項所述之增加一實體之一社會媒體網頁之搜索引擎優化(SEO)性能之方法,更包含:在判決位於該社會媒體網頁上之該等社會媒體回應之總數量之後,經追蹤一週期之位於該社會媒體網頁之該社會媒體回應之總數量,以及將該週期之該社會媒體回應之總數量與相同週期之參考該實體之該社會媒體網頁上之社會媒體回應數量相比。
- 3如請求項第1項所述之增加一實體之一社會媒體網頁之搜索引擎優化(SEO)性能之方法,其中該社會媒體應答表明另一網頁具有一鏈接至該實體之該社會媒體網頁。
- 4如請求項第1項所述之增加一實體之一社會媒體網頁之搜索引擎優化(SEO)性能之方法,更包含:在識別用於該實體之該社會媒體網頁之社會媒體應答之數量之後,追蹤一週期之該實體之該社會媒體網頁之社會媒體應答之數量。
- 5如請求項第4項所述之增加一實體之一社會媒體網頁之搜索引擎優化(SEO)性能之方法,更包含:在追蹤該週期之該實體之該社會媒體網頁之社會媒體應答之數量之後,將該週期之該實體之該社會媒體網頁之該社會媒體應答之數量與相同週期之該實體之一網頁之有機搜索結果相比。
- 6如請求項第1項所述之增加一實體之一社會媒體網頁之搜索引擎優化(SEO)性能之方法,其中該實體之該參考包含:與該實體相關之品牌名稱、由該實體生產和/或與該實體相關之產品 名稱、該實體相關之單詞或在搜索引擎優化中由該實體所用之多個關鍵詞。
- 7如請求項第1項所述之增加一實體之一社會媒體網頁之搜索引擎優化(SEO)性能之方法,其中透過該推薦改變與該社會媒體網頁相關的該參數之步驟包含:改變該實體之該網站,藉以使該網站包含參考該社會媒體網頁之一個或多個額外的外部參考;在該網站上改變該一個或多個額外的外部參考之位置;改變該社會媒體網頁上之新的社會媒體回應;或改變該社會媒體網頁,藉以使該社會媒體網頁考量到該社會媒體回應。
- 8一種增加一實體之一社會媒體網頁之搜索引擎優化性能之方法,該方法包含:從該實體之一網頁獲取SEO資料;從該實體之該社會媒體網頁獲取SEO資料,其中從該實體之該社會媒體網頁獲取SEO資料之步驟包含:判決位於該社會媒體網頁上之多個社會媒體回應之總數量,其中該等社會媒體回應包含有透過該社會媒體網頁之一使用者所產生並位於該社會媒體網頁上之資料,其中該資料可被該社會媒體網頁的其他使用者所閱讀;分析用於該實體之參考之位於該實體之該社會媒體網頁之社會媒體回應,藉以判決參考該實體之社會媒體 回應的數量;及比較該等社會媒體回應之總數量與參考該實體之社會媒體回應的數量;以及基於來自該網頁之該SEO資料和來自該社會媒體網頁之SEO資料產生表明該實體之該社會媒體網頁之該搜索引擎優化性能之一級別之一報告。
- 9如請求項第8項所述之增加一實體之一社會媒體網頁之搜索引擎優化性能之方法,其中該報告包含用於增加該實體之該社會媒體網頁之該搜索引擎優化性能之一個或多個推薦。
- 10如請求項第8項所述之增加一實體之一社會媒體網頁之搜索引擎優化性能之方法,其中從該實體之該網頁獲取SEO資料包含爬行用於該社會媒體網頁之外部參考的該實體之該網頁。
- 11如請求項第8項所述之增加一實體之一社會媒體網頁之搜索引擎優化性能之方法,更包含:在判決位於該社會媒體網頁上之該等社會媒體回應之總數量之後,追蹤一週期之位於該社會媒體網頁之社會媒體回應之總數量,並將該週期之社會媒體回應之總數量與相同週期之參考該實體之該社會媒體網頁上之社會媒體回應之數量相比。
- 12如請求項第8項所述之增加一實體之一社會媒體網頁之搜索引擎優化性能之方法,其中從該實體之該社會媒體網頁獲取SEO資料包含識別用於該實體之該社會媒體網頁之社會媒體應答 之數量。
- 13如請求項第12項所述之增加一實體之一社會媒體網頁之搜索引擎優化性能之方法,其中該社會媒體應答表明另一網頁具有一鏈接至該實體之該社會媒體網頁。
- 14如請求項第12項所述之增加一實體之一社會媒體網頁之搜索引擎優化性能之方法,更包含:在識別用於該實體之該社會媒體網頁之社會媒體應答之數量之後,追蹤一週期之該實體之該社會媒體網頁之社會媒體應答之數量。
- 15如請求項第14項所述之增加一實體之一社會媒體網頁之搜索引擎優化性能之方法,更包含:在追蹤該週期之該實體之該社會媒體網頁之社會媒體應答之數量之後,將該週期之該實體之該社會媒體網頁之該社會媒體應答之數量與相同週期之該實體之該網頁之有機搜索結果相比。
- 16如請求項第8項所述之增加一實體之一社會媒體網頁之搜索引擎優化性能之方法,其中該實體之該參考包含:與該實體相關之品牌名稱、由該實體製造和/或與該實體相關之產品名稱、該實體相關之單詞或在搜索引擎優化中由該實體所用之多個關鍵詞。
Independent claims16
94 paragraphs, as filed
Methods to increase the search engine optimization performance of physical social media pages
A METHOD OF INCREASING SEARCH ENGINE OPTIMIATION PERFORMANCE OF A SOCIAL MEDIA WEBPAGE OF AN ENTITY
The present invention relates to search engine optimization, especially to increase the search engine optimization performance of social media web pages.
Search engine optimization (SEO) generally describes the use of a computing system for running computing processing, where computing processing collects, stores, and analyzes search engine data to provide recommendations to improve the visibility of a website or webpage in a search engine. Search engine results can be obtained through one or more engine strategies, such as natural, non-paid, organic, or algorithmic search results and paid search algorithms for search engine marketing (SEM) targeted paid lists. Generally, the higher the position of a website in a website list and the more frequently a website appears in the search result list, the more visitors the website receives from search engine users. SEO can improve the usability of a website or a webpage to Internet users.
SEO is performed by Internet technology (IT) professionals to improve the flow and quality of a given webpage or other websites. Companies and individuals can use SEO to improve the traffic and quality of their websites to increase sales, brand awareness, promotion of their products, advertising, or any other purpose.
The subject matter of the scope of patent application claimed herein is not limited to embodiments that solve any defects or embodiments that operate only in an environment such as that described above. Rather, this background art is provided to illustrate an exemplary technical field in which certain embodiments described in Chinese can be implemented.
Therefore, in view of the above-mentioned problems, the purpose of the present invention is to introduce a selection concept in a simplified form. For further description, please refer to the detailed description below. The purpose of the content of the present invention is not to identify the key features or essential features of the subject matter requested in the scope of the patent application, nor to use it as an auxiliary means to determine the scope of the subject matter requested in the scope of the patent application.
Generally, the specific embodiment relates to a method of increasing the search engine optimization (SEO) performance of a social media website of an entity. The method may include obtaining SEO information from a webpage of an entity and obtaining SEO information from a social media webpage of the entity. The method may further include generating a one-level report indicating the search engine optimization performance of the social media webpage of the entity based on the SEO information from the webpage and the SEO information from the social media webpage.
In some embodiments, the method may include identifying one or more external references of the entitys social media pages located on the entitys website; the method may further include analyzing the social media responses located on the social media page of the entitys references and identifying The number of social media responses used for physical social media pages.
In some embodiments, the report includes one or more recommendations for increasing the search engine optimization performance of the entity's social media webpage.
In some embodiments, obtaining SEO data from the entity's webpage includes crawling the entity's webpage for linking to the social media webpage. In some embodiments, obtaining SEO data from the entity's social media webpage includes analyzing the social media response of the reference entity located on the social media webpage.
In some embodiments, the SEO data package is obtained from the entitys social media Contains the number of social media responses to social media pages that identify the entity.
These and other aspects of the specific embodiments of the present invention will become more fully clear from the following description and the scope of the attached patent application.
In the following detailed description, reference will be made in conjunction with the accompanying drawings as part of the present invention. In these drawings, similar symbols usually indicate similar elements, unless there are other instructions in the text. The illustrated embodiments described in the following description, drawings and claims are not meant to be limited thereto. Those skilled in the art should realize that other embodiments can be used and other changes can be made without departing from the spirit and scope of the present invention disclosed in the scope of the patent application attached to the present invention. Those skilled in the art should realize that the aspects of the present invention as described in the text and shown in the drawings can be set up, replaced, combined, separated and designed in a variety of different configurations, all of which can be obviously considered.
With the widespread use of social media and the growth of integration with the daily lives of Internet users, companies and individuals (such as "entities") are realizing the benefits of using social media in their marketing strategies. As entities turn to social media for help, it can be expected to increase the traffic and quality of physical social media web pages and web pages, and create synergies between physical social media web pages and their other web pages. Additionally or alternatively, it can hopefully track any synergies created between their social media pages and their other websites.
Therefore, the embodiments disclosed herein generally involve the computing system and computing process used in the method of improving the SEO performance of an entity's social media webpage. about For different social media pages of the entity, the SEO performance can be optimized to increase the Internet traffic of the social media pages. By increasing the Internet traffic of a social media page, an entity can gain greater brand awareness. Moreover, increasing the Internet traffic of a social media webpage can cause an increase in the traffic of a physical homepage and a better page ranking for the physical webpage.
Some embodiments may include a computing system that has an analysis module configured to analyze and collect SEO data and indicators from a social media web page, and is configured to determine the level of SEO used for social media web pages. A judgment module, and a report module configured to give a recommendation to change the parameters of a specific social media webpage to increase the Internet traffic of the webpage. The analysis module can be configured as software to include an analysis engine capable of processing analysis algorithms in accordance with the teachings provided herein. The decision module can be configured as software to include a decision engine capable of processing decision algorithms in accordance with the teachings provided herein. The reporting module can also be configured as software to include a reporting engine capable of processing decision reporting algorithms in accordance with the teachings provided herein.
A specific embodiment is described as follows. A company may have a general company website and a social media page with company information, such as a Facebook page. Some embodiments are configured to crawl the companys website and its social media pages to collect web-specific SEO data, analyze the collected SEO data and provide recommendations on one or more strategies to improve the companys society The network transmission mode of media webpages can improve the SEO of social media webpages. In the past, in order to optimize the search results of the company's social media pages, SEO has not been implemented. Now, in order to increase Internet traffic to social media pages, brand awareness, and search rankings of physical homepages, the embodiments described in this article can be used to increase the number of examples. Recommendations for the SEO performance of the social media pages of the Facebook page listed above.
Some factors that can affect the SEO performance of a social media webpage can include: from a company's homepage to external references, such as links, to the social media webpage. Increasing the number of links to social media pages can give effectiveness to social media sites. Additionally or alternatively, another factor can include the number of social responses, such as a graffiti wall post on Facebook that includes company references. The increase in the number of company references, especially when the company reference is the companys brand name, increases the visibility of social media pages to search engines.
In addition or alternatively, another factor may include the number of social media responses such as Facebook preferences received by social media web pages from social media users. The increase in the number of social media notifications can increase the number of external references to social media pages, and therefore improve the search engine rankings of social media pages. By linking the entitys website to the entitys social media page and increasing the search engine ranking of the social media page, the search engine ranking of the entity website can be improved. Moreover, due to the link between the addresses, a synergy effect appears between the physical webpage and the physical social media webpage, which can improve the search engine rankings of both the physical webpage and the social media webpage.
Reference will now be made to the drawings, in which the same structure will be provided with the same reference numerals. It can be understood that the drawings are schematic diagrams and principle diagrams of some embodiments of the present invention, but they are not a limitation of the present invention, nor are they necessarily drawn to scale.
"Figure 1A" is an example of an SEO system 100a that can include a network 102. In some embodiments, the network 102 can be used to interconnect various parts of the system 100a, such as a web server 106, a deep indexing engine 108, a correlator 104, and an SEO module 112. What can be realized is that when this While these elements are shown separately, these elements can be combined as required. Furthermore, when one of each element is described, the system 100a may optionally include any number of each element.
The network 102 may include the Internet. The Internet includes a global Internet path formed by logical and physical connections between multiple wide area networks and/or local area networks, and may optionally include the World Wide Web ("web pages"). One of the Internet hypertext archives to visit. In addition or alternatively, the network 102 includes one or more cellular radio frequency (RF) networks and/or one or more wired and/or wireless networks, such as but not limited to, 802.xx network, Bluetooth Access point, wireless access point, Internet Protocol (IP)-based network, or the like. The network 102 may also include servers that can interface one network type to another network type.
The web server 106 may include any system capable of storing and transmitting a web page to a user. The web server 106 may provide an entrance to a web page of a website that will be analyzed to improve SEO. For example, the web server 106 may include a computing system, which is responsible for receiving requests from clients (such as the user agent of a web browser) and serving them with hypertext transfer protocol (HTTP) responses and optional data content, optional data The content can include hypertext markup language (HTML) files and linked objects for display to users. Additionally or alternatively, the web server 106 may include the ability to record some detailed information about user requests and service responses to a log file.
The website can contain any number of web pages. Reference to the collection of various web pages can be referred to as traffic. It should be noted that the term webpage used in this article refers to any online Announcement, including domains, subdomains, web posts, Uniform Resource Identifiers ("URIs"), Uniform Resource Locators ("URLs"), images, videos or other content, as well as e-mail and chat The non-permanent announcement, unless otherwise specified.
The external reference of a webpage can include any reference that the webpage directs a visitor to the webpage. For example, an external reference contains text documents such as blogs, news items, customer reviews, emails, or any other text documents discussing web pages. Additionally or alternatively, an external reference can include this web page with a link to a web page. For example, an external reference can include other web pages, search engine results pages, advertisements, or the like.
In some embodiments, the deep index engine 108 may be configured to crawl web pages accessed by the web server 106 to obtain external information. In particular, the deep indexing engine 108 can be configured to crawl web pages and analyze data related to the crawling. This data includes on-page information for each web page and back link data (such as back link URL, anchor text, etc.) ). According to one of the embodiments, more details of the deep indexing engine 108 are described in the pending U.S. patent application. The U.S. patent application serial number is 12/436,704 and is titled "Collection and Scoring Online REFERENCES)", the application date is May 6, 2009. The full text of the application can be combined for reference. The functions described in this article can be applied to a website to optimize the web pages of a website.
According to one of the embodiments, more details of the correlator 104 are described in the pending U.S. patent application. The U.S. patent application serial number is 12/574,069, the application date is October 6, 2009, and the title is "With external reference Correlative web page access and conversion (CORRELATING WEB PAGE VISITS AND CONVERSIONS WITH EXTERNAL REFERENCES)", the full text of the application can be combined for reference. The functions described in this article can be applied to a website to optimize the web pages of a website.
The correlator 104 or other components can be configured to collect web page analysis data from the web page. Web analytics data can be used to estimate the cost, value, or both associated with one or more SEO opportunities. Examples of web analytics data that can be collected include multiple visitors, web browsing, conversions (such as purchases), and the like or any combination thereof.
The SEO module 112 is configured to coordinate and perform web page analysis of a website as described herein, and then make recommendations to improve the website and its web pages. More details of the SEO module 112 are described herein.
"Figure 1B" is another embodiment of an SEO system 100b. As shown in the figure, the network 102 is operatively connected to the SEO module 112 and a website computing system 128. The SEO module 112 includes an SEO computing system 120 configured to perform SEO analysis and generate recommendations as described herein. The SEO computing system 120 may include sub-modules for performing special functions. The SEO operation system 120 may belong to and include an analysis module 122, a judgment module 124, and a report module 126.
The website computing system 128 may include a website database 129 that includes SEO data from a physical webpage 132 of a physical website 130. The physical website 130 is a website of an entity that SEO is about to be executed. The website database 129 further includes social media web pages 142 from a social media website 140 of one entity. The social media website 140 is any type of social media. For example, social media can include collaborative projects (such as Wikipedia), blogs, and microblogs microblog (such as Twitter), content communities (such as video sites), social networking sites (such as Facebook), virtual game worlds (such as World of Warcraft), and virtual social worlds (such as Second Life), among other types of social media, And it can take many different forms, including Internet forums, web blogs, micro blogs, social blogs, wikis, podcasts, photos or pictures, videos, ratings, social bookmarks, and others. Additionally or alternatively, the website computing system 128 may include a second website database, and the physical web pages 132 and the social media web pages 142 are stored in separate databases. It should be understood that the data from the physical web page 132 and the social media web page 142 can be stored in any configuration without departing from the description of the embodiment herein.
The website computing system 128 accesses the physical website 130 and the social media website 140 through a web server such as the web server 106 in "Figure 1A", and can obtain SEO information from the physical web page 132 and the social media web page 142. Moreover, the data from the physical webpage 132 and the social media webpage 142 can be collected by crawling the physical webpage 132 and the social media webpage 142. In some embodiments, the physical webpage 132 and the social media webpage 142 can be crawled using the deep indexing engine 108 of "Figure 1A", for example. In some embodiments, the physical web page 132 and the social media web page 142 can be crawled using a different mechanism.
Referring again to the SEO calculation module 120, the analysis module 122 in the SEO calculation module 120 can be configured to analyze the physical web page 132 and the social media web page 142 to obtain one or more indicators from the physical web page 132 and the social media web page 142, SEO information or two. The analysis module 122 may include one or more algorithms for analyzing data from the physical web page 132 and the social media web page 142. For example, in some real In an embodiment, the analysis module 122 can analyze the on-page data and external references on the physical webpage 132 to identify the external references to the physical social media webpage 142. In addition or alternatively, the analysis module 122 can analyze the on-page data to determine whether to locate the physical web page 132 or the external reference of the social media web page 142. Additionally or alternatively, the analysis module 122 can analyze the on-page data of the social media web page 142 to identify social media responses located on the social media web page 142.
The social media response can be any information that can be read by other users of the social media website 140 that is placed on the social media web page 142 by a user of the social media website 140. For example, in some embodiments, the social media response may include a post on a social website, a comment, or both. In other embodiments, the social response includes posts, comments, or a combination of the two on a blog or a mini-blog. It should be understood that the aforementioned are only some examples of different types of social responses, and the scope of social media responses cannot be limited by these examples.
Additionally or alternatively, after the analysis module 122 identifies the social media response located on the social media web page 142, the analysis module 122 can use one or more algorithms to further analyze the social media for one or more words, phrases, and other data. Response. For example, in some embodiments, the analysis module 122 can analyze the social response to keywords, such as a reference entity. The reference entity may include any brand name or other words of the entity related to the entity, produced by the entity Product names, related search terms, and other words used in SEO.
Additionally or alternatively, the analysis module 122 can analyze the on-page information and external references of the social media webpage 142, the social media website 140, or both to identify the number of social media responses to the physical social media webpage 142. Social media The body response can be anything that indicates that a user of the social media website 140 likes, recognizes, agrees, appreciates, recognizes, or prefers the physical social media page 142. For example, in some embodiments, a social media response may include, for example, a social media page 142 in which a user of a social website of Facebook indicates that they "like" the entity.
Additionally or alternatively, the social media response may include placing an external reference of one of the entity's social media web pages 142 to a user on another web page. In addition or alternatively, the social media response may include a user of a social media website who follows a blog or microblog, comments on a post or in any other way indicates that they respond to the social media page of the entity 142. It should be understood that the above-mentioned examples are only partial examples of different types of social media responses, and the scope of social media responses cannot be limited by these examples.
The judgment module 124 can obtain data from the analysis module 122, and can determine a level of search engine optimization for the entity's social media web page 142. The decision module 124 may include one or more algorithms for processing the data obtained from the analysis module 122. Based on the data from the analysis module 122, the judgment module 124 can judge whether the physical web page 132 and how many external references of the social media web page 142 are included. Additionally or alternatively, the judgment module 142 can judge whether the location of the external reference is at the same position on the separate physical web page 132. For example, in some embodiments, the judgment module 124 can judge that the external references of some social media web pages 142 on the physical web pages 132 are located in the footer of the web pages, and other web pages of the physical web pages 132 are such that the external references are located in the header of the web page. superior.
Additionally or alternatively, the judgment module 124 can judge the total number of social media responses on the social media web page 142 based on the data of the analysis module 122 quantity. Additionally or alternatively, the judgment module 122 may determine the number of social media responses on the social media webpage 142 of the reference entity, and compare this number with the total number of social media responses on the social media webpage 142. For example, in some embodiments, the determination module 124 may determine the percentage of social media responses on the social media web page 142 that contains a reference to an entity.
Additionally or alternatively, the judgment module 124 may track the total number of social media responses on the social media web page 142 and the number of social media web pages 142 of the reference entity through a cycle. In addition or alternatively, the judgment module 142 can track the number of social media responses of the social media page 142 through a cycle, and after this cycle, search the number of social media responses of the social media page 142 with one of the physical websites 130 The results are compared to the rankings. For example, in some embodiments, the deep indexing engine 108, the correlator 104, and the website server 106 can determine the ranking of the physical website 130 through this cycle, and send the result to the judgment module 124 of the physical website 130 for comparison with Comparison of Social Media Responses of Social Media Page 142. In some embodiments, another system can judge the ranking of the physical website 130 after this period, and send the result to the judgment module 124 for comparison with the social media response of the social media web page 142.
Additionally or alternatively, the judgment module 124 may use information collected from the social media web page 142, the physical web page 132, or both to determine the SEO level of the social media web page 142 with one or more algorithms. For example, in some embodiments, the judgment module 124 can determine the number of social media responses, the percentage of social media responses that include reference entities, the number or existence of external references to social media web pages 142 on the entire website 130, and through Others collected by analysis module 122 The SEO information or any combination thereof is input to one or more algorithms to determine the SEO level of the social media web page 142.
The report module 126 can compile information from the analysis module 122, the judgment module 124, or the sum of the two to generate a report, and give recommendations to improve the SEO performance of the social media web page. The reporting module 126 may include one or more algorithms that can generate one or more reports and provide one or more recommendations for improving SEO performance.
"Figure 2" is a general method 200 used to increase the SEO performance of a social media webpage of an entity. The method 200 may be executed in, for example, the SEO system 100a of "Figure 1A" or the SEO system 100b of "Figure 1B". The method 200 is shown in block 210 to include obtaining and analyzing SEO data from a web page of an entity. In some embodiments, acquiring and analyzing SEO data from the entity's webpage includes crawling the entity's website, acquiring SEO information from the website, and identifying the external reference of the entity's social media page located on one or more pages of the entity website . If more than one physical web page contains an external reference, the web page containing the external reference can be analyzed to determine the location of the external reference on the web page. Web pages with external references located at different locations can be annotated. In addition or as an alternative, one can follow Robbie to come up with a list of all the different positionings for external references on the pages of the physical website. Using data from a correlator (such as the correlator 104 in "Figure 1A") can also perform analysis to provide information that is frequently used by users of physical websites that link to physical social media pages. Using this information, analysis can be performed to determine the ideal location for external references, ideal terms for external references, and other relevant information related to external references.
Additionally or alternatively, headings of external references can be analyzed to Determine whether the title is a brand name or other name of one of the entities related to the entity. In any case, the title of the external reference can be annotated and compiled for reporting or other use.
The method 200 may further include obtaining and analyzing SEO data from the entity's social media webpage in block 220. In some embodiments, obtaining and analyzing SEO data from an entity's social media webpage may include crawling social media webpages, obtaining SEO data from a website, and analyzing social responses located on the social media webpage of the reference entity.
Additionally or alternatively, the method 200 may further include determining the total number of social media responses located on the social media page, and comparing the total number of social media responses with the number of social media responses on the social media page of the reference entity compare. Using the information determined above, the percentage of social media responses containing a reference entity can be calculated. Additionally or alternatively, the method may include tracking the total number of social media responses located on social media sites over a period, and tracking the number of those social media responses of reference entities in the same period.
In some embodiments, obtaining and analyzing SEO data from an entity's social media webpage may include crawling social media webpages, obtaining SEO data from social media webpages, and identifying the number of social media responses to social media webpages. Additionally or alternatively, the method 200 may include comparing the number of social media responses to the social media webpage through this period with the search result ranking of the entity's website in the same period.
In some embodiments, the acquisition and analysis of SEO data from the entitys social media page may include identifying the number of social media responses for the entitys social media page. The quantity can also include the analysis of social media responses located on the social media webpages of the reference entity.
The method 200 may further include generating a report indicating a level of SEO of the social media webpage based on the SEO data in block 230. In some embodiments, the SEO level of social media web pages can be determined using one or more factors. Factors can include the number of social responses, the percentage of social media responses that include reference entities, the number or existence of external references to social media pages of entities located on the physical website, other SEO information, or other factors.
Additionally or alternatively, the report may contain one or more recommendations for increasing the search engine optimization performance of the entity's social media pages. Recommendations can include any factors directly or indirectly related to the SEO level of social media pages. Recommendations can also be based on the analysis of SEO data from the entitys website and entitys social media pages. For example, if the analysis of the entity's website shows that the webpage does not contain external references, then the external reference of the social media webpage that contains the entity's website can be recommended. In some embodiments, the recommendation may further include the use of the entitys brand name, some other word or words related to the entity, one of the most commonly used external reference names used by users of the entity website, or any combination of them. External references plus headings. In some embodiments, the recommendation may further include placing an external reference in the same position on the physical website webpage or an ideal position based on the previous mode of the physical website user.
As another example, if the analysis of the entity website that shows the social media response does not have a reference entity, the recommendation can ensure that any social media response generated through the entity on the social media page contains the entitys brand name, and some other related to the entity One or more words, SEO keywords or any combination of them. As another example, in order to increase the number of social recommendations, the recommendation may include the ability of visitors to the physical website to make a social recommendation for the physical social media page.
Moreover, the method 200 can be executed for social media web pages of more than one entity. The method 200 can be executed simultaneously for all social media webpages of one entity or for some entities' social media webpages and non-others. If the method is executed for more than one social media webpage at the same time, the physical website can be crawled to obtain SEO information and analyze the external reference of each different social media webpage. Social media web pages can be crawled to obtain SEO information and analyzed in a parallel or a continuous structure.
Additionally or alternatively, social media web pages can be grouped together according to type, and methods are implemented according to the group to allow general reports and recommendations for each group of social media web pages. In some embodiments, the grouping is determined according to similar types of social media. For example, social networking website pages can be grouped together.
It should be understood that the method 200 does not need to be executed in the order of appearance. For example, block 220 may be completed before block 210. Moreover, the method 200 may include other method steps described herein. In addition, not all steps in the method 200 need to be performed. For example, method 200 may omit block 210.
An example of the SEO performance of adding an entity to a social media web page is provided as follows. An entity such as a company may have a company website and a social media page such as a Facebook page. One or more pages of the companys website can be crawled, and SEO information is obtained and analyzed to determine whether one or more pages contain an external reference such as a link to the companys Facebook page. The companys Facebook page preferences can be crawled, and SEO information can be obtained and analyzed to determine if the companys products are contained on the Facebook page. The total number of social media responses to the posts of the brand name. Facebook pages are also crawled, and SEO information is obtained and analyzed to determine, for example, the number of social media responses to Facebook preferences that have been accumulated on Facebook pages. A report can be generated to reflect the information obtained and analyzed. The report can contain recommendations on actions that companies can take to increase the SEO performance of their Facebook pages. The report may also contain graphs and comparisons to illustrate the information obtained and analyzed.
Another example of increasing the SEO performance of a social media webpage of an entity is provided as follows. An entity such as a company that has a company website also has a social media page such as a Twitter account. One or more web pages of the companys website can be crawled, and SEO information is obtained and analyzed to determine whether one or more web pages contain an external reference such as a link to the companys Twitter account. Company Twitter accounts can also be crawled to obtain and analyze SEO information to determine the total number of social media responses on the Twitter account such as the number of Twitter accounts containing the companys brand name. Twitter accounts are also crawled, and SEO information is obtained and analyzed to determine the number of social media responses such as the number of followers that the company's Twitter account has accumulated or the number of followers listed. A report can be generated to reflect the information obtained and analyzed. The report can contain recommendations on actions that companies can take to increase the SEO performance of their Twitter accounts. The report may also include graphs and comparisons to illustrate the information obtained and analyzed.
"Figure 3" is an example of a screenshot of a graph that tracks the number of social responses (such as Facebook preferences) of an entity's social media pages (such as Facebook pages) through a cycle.
"Picture 4" is a graph that tracks the total number of social media responses (such as Facebook graffiti wall posts) located on an entity's social media pages (such as Facebook pages) An example of a screenshot of. This graph also tracks the number of social media responses (such as Facebook graffiti wall posts) located on social media pages (such as Facebook pages) that contain reference entities (such as brand keywords). This graph compares the total number of social media responses with the number of social media responses that include reference entities for a particular date or a period or both.
"Figure 5" is an example of a screenshot of Figure 510 which tracks the number of social responses (such as Facebook preferences) of an entity's social media pages (such as Facebook pages) over a period of time. Graph 510 can also track the ranking of search results of entity websites after the same period. Graph 510 also compares the number of social responses with the physical website rankings for a particular date or a period or both.
"Figure 5" further elaborates a table 520 showing the average search result ranking of the entity website and the average ranking position of the entity website for a special period of the week, for example. The table 520 also shows the number of one of the social responses (such as Facebook preferences) of the physical social media pages of the same period and the change in the number of social responses.
In addition to the above-mentioned information described in "Figure 3" to "Figure 5", additional information can be reported through a report module (the report module 126 in "Figure 1B"). For example, a reporting module can report the number of external references to social media pages created on a physical website. In addition or as an alternative, the report module can report the name used by the external reference and the frequency of name use. Additionally or alternatively, the reporting module can report where the external reference is located on the page of the physical website. In addition or alternatively, the reporting module can report the position of the information judged by a correlator (such as the correlator 104 in "Figure 1A"). Which external reference on the entity website is used the most to link to the entitys social media page.
Moreover, "Figure 3" to "Figure 5" illustrate graphs and tables that provide information about the SEO performance of a single social media page. If an entity has more than one social media page, a report module (such as the report module 126 in "Figure 1B") can provide a rolled up report on multiple social media pages, or a report module can provide each Individual reports on social media pages. The summary report used for multiple social media web pages can provide information on which web page has external references to the physical website, the total number of social media responses and the number of social media responses that include reference entities, the number of social media responses, and other information. Additionally or alternatively, the summary report can show which social media web pages have the most media media responses, including the highest percentage of social media responses from the reference entity and other information, or any combination thereof. New social media pages can be added to the summary report at any time. However, the summary report may have no retrospective effect. In these and other embodiments, social media web pages can be active in the system after they are added.
Additionally or alternatively, the summary report can provide the ability to define which social media pages are included in the summary report. For example, social media pages that are social networking website pages can be included in the report. Additionally or alternatively, multiple summary reports can be provided. Each report can contain one or more categories or groups of reports for social media pages. For example, for reporting purposes, all social media blog pages used for reporting purposes can be grouped together and all social networking website pages can be grouped together, and a summary report is provided for use Grouped between the two.
Some of the embodiments disclosed herein include a computer program product with computer-executed instructions for causing an operating system with a computer program product to execute a computer-executable instruction for improving the SEO of a physical social media webpage. method. The calculation method can be any method described in this text that is executed by a calculation system. The computer program product can be positioned on a computer storage device that can be removed or integrated with the computing system.
Some embodiments include the computing system described herein that can perform this method. Similarly, the computing system may include a storage device with computer-executable instructions for executing the method.
In some embodiments, a computing device such as a computer or a storage device of a computer may include an analysis module, a judgment module, and a report module. The analysis module, the judgment module, and the report module can be configured to perform any of the methods described herein. Similarly, the analysis module, the judgment module, and the report module can be combined into a single module or a single platform.
The computer program product may contain one or more algorithms for executing any method of any request item.
Those skilled in the art will realize that for this and other processes and methods disclosed herein, the functions and methods performed in these processes and methods can be executed in a different order. Moreover, the outlined steps and operations are not only provided as examples, some of the steps and operations may be optional, combined into fewer steps and operations, or if the essence of the disclosed embodiments is not compromised. Expanded to additional steps and operations. It should also be realized that any module described in this article Or the component can perform the function associated with the name of the module or component.
The disclosure of the present invention is not limited to the specific embodiments described in this application, and it is intended to be an illustration of all aspects. It will be obvious to those skilled in the art to make numerous modifications and changes without departing from its spirit and scope. In addition to those listed herein, methods and devices with equivalent functions within the scope of the present disclosure will be apparent to those skilled in the art from the above description. Such modifications and changes are intended to fall within the scope of the attached patent application. The disclosure of the present invention is not limited to the items within the scope of the appended application, but within the full scope equivalent to the rights granted to such items. It can also be understood that the terminology used herein only describes specific embodiments, but is not intended to be limiting.
In an illustrated embodiment, any of the operations, processes, etc. described herein can be executed as computer-readable instructions stored in a computer-readable medium. Computer readable instructions can be executed through a processor of a mobile unit, a network element and/or any other computing device.
There is a slight difference on the left side between the hardware execution and the software execution in the system. The use of software or hardware is usually (but not always, because under certain circumstances, the choice of hardware and software can become important ) It reflects one of the design choices of cost versus efficiency trade-off. Through the processes and/or systems and/or other technologies described herein, it can be affected (for example, software, hardware, and/or firmware) to have various carriers, and preferred carriers are used in the process and/or system and/or Other technologies will change with the environment. For example, if an implementer decides that speed and accuracy are the most important, the implementer can choose a major hardware and/or firmware carrier; if flexibility is the most important, the implementer can choose a major software implementation; or , Once again as another option Optionally, the implementer can choose some components of hardware, software, and/or firmware.
The above detailed description has stated various embodiments of the present process through the use of block diagrams, flowcharts, and/or examples. Within the scope of such block diagrams, flowcharts, and/or examples, one or more functions and/or operations are included, and those skilled in the art will understand that each in such block diagrams, flowcharts, and/or examples The functions and/or operations can be performed individually and/or selectively through a wide range of hardware, software, firmware, or almost any combination thereof. In some embodiments, several parts of the subject described in this article can be executed via application-specific integrated circuits (ASICs), field programmable logic gate arrays (FPGAs), digital signal processors (DSPs), or other integrated formats . However, those skilled in the art will recognize that certain aspects of the embodiments disclosed herein, as one or more computer programs run on one or more computers (for example, one or more programs run on one or more computer systems), With one or more programs running on one or more processors (for example, with one or more programs running on one or more microprocessors), with firmware or with almost any combination of them, in whole or part It can be executed equally in the integrated circuit, and designing the circuit and/or writing code for software and/or firmware will be within the skills of a person skilled in the art according to this disclosure. In addition, those skilled in the art will be pleased that the mechanism of the subject described in this article can be distributed as a program product in various forms, and one of the subjects described in this article describes the application of the signal-bearing medium in the embodiment. Regardless of the special type in order to actually perform the allocation. Examples of a signal receiving medium include, but are not limited to, the following: such as a floppy disk, a hard disk drive, a compact disc (CD), a digital versatile disc (DVD), a digital tape, a computer storage, etc. can be recorded Type medium, and such as a digital and/or an analog communication medium (e.g. a fiber optic cable, A waveguide, a wired communication link, a wireless communication link, etc.) is a transmission medium.
Those skilled in the art should be aware that it is common in the art to describe devices and/or processes in the form described herein, and then use engineering practices to integrate the described devices and/or processes into a data processing system. That is, at least part of the devices and/or processes described herein can be integrated into a data processing system through a reasonable number of experiments. Those skilled in the art should be aware that a typical data processing system usually includes one or more of the following devices: a system unit housing, a video display device, such as one of volatile and non-volatile memories, Processors such as microprocessors and digital signal processors, computing entities such as operating systems, drivers, graphical user interfaces, and applications, such as a touch pad or touch screen, and/or include one or more interactive devices The feedback loop and the control system of the control motor (ie, feedback for sensing position and/or speed; control motor for moving and/or adjusting parts and/or quantity). A typical data processing system can be implemented using any suitable commercially available components, such as those commonly found in data computing/communication systems and/or network computing/communication systems.
The subject matter disclosed in the text sometimes states that different components are contained in or connected to other different components. It should be understood that the structure described in this way is only exemplary, and in fact many other results can be executed and achieve the same function. In a conceptual sense, any set of components that obtain the same function is effectively "associated" so that the desired function can be obtained. Therefore, the combination of any two components to obtain a specific function can be regarded as "related" to each other, so that the desired function can be obtained, regardless of the structure or the intermediate components. Similarly, any two related components can also be regarded as mutually "operably connected" or "operably coupled" to achieve the desired function, and any two Components that can be related can also be regarded as mutually "operably coupled" to achieve desired functions. Specific examples of operably coupleable include, but are not limited to, physically coupled and/or physically interactive components and/or wirelessly interactable components and/or wirelessly interactable components and/or logically interactable components and/or logically interactable components Function parts.
"Figure 6" shows an example computing device 600 arranged to perform any of the computing methods described herein. In a relatively basic configuration 602, the computing device 600 often includes one or more processors 604 and a system memory 606. A storage bus 608 can be used to communicate between the processor 604 and the system storage 606.
Depending on the desired configuration, the processor 604 may be of any type including but not limited to a microprocessor (μP), a microcontroller (μC), a digital signal processor (DSP), or any combination thereof. The processor 604 may include more than one cache level such as a first level cache 610 and a first level cache 612, a processor core 614, and a register 616. An example processor core 614 may include an arithmetic logic unit (ALU), a floating point unit (FPU), a digital signal processing core (DSP core), or any combination thereof. An example storage controller 618 can also be used with the processor 604, or the storage controller 618 can be an internal part of the processor 604 in some implementations.
Depending on the desired configuration, the system storage 606 may include but is not limited to volatile storage (such as random access memory (RAM)), non-volatile storage (such as read-only memory (ROM), flash memory, etc.) or their Any combination of any type. The system storage 606 may include an operating system 620, one or more application programs, and program data 624. The application 622 may include a judgment application 626, which is arranged to execute the description in this article. The function described in the method. For example, the judgment application 626 may be equivalent to the judgment module 124 in "Figure 1B". The program data 624 may include decision data 628 useful for analyzing social media responses located on social media web pages. In some embodiments, the application 622 may be arranged to operate the program data 624 on the operating system 620.
The computing device 600 may have additional features or functions, as well as additional interfaces to facilitate communication between the basic configuration 602 and any required devices and interfaces. For example, a bus/interface controller 630 can be used to facilitate communication between the basic configuration 602 and one or more data storage devices 632 via a storage interface bus 634. The data storage device 632 may be a removable storage device 636, a non-removable storage device 638, or a combination of them. Examples of removable storage devices and non-removable storage devices include disk devices such as floppy disk drives and hard disk drives (HDD), optical disk drives such as record (CD) drives or digital versatile disk (DVD) drives , Solid state drives (SSD), and tape drives to name just a few examples. Example computer storage media may include volatile and non-volatile media, removable and non-removable media implemented in any method or technology for information storage such as computer-readable instructions, data structures, program modules, or other data In addition to the media.
The system storage 606, the removable storage device 636, and the non-removable storage device 638 are examples of computer storage media. Computer storage media include but are not limited to RAM, ROM, electrically erasable read-only memory (EEPROM), flash memory or other storage technologies, read-only disc drives (CD-ROM), digital versatile discs (DVD) or other optical discs Memory, cassette tape, tape, disk storage or other magnetic storage devices, or can be used to store desired information and can be used through computing devices Set 600 to any other medium to be visited. Any such computer storage medium can be part of the computing device 600.
The computing device 600 may also include an interface bus 640, through the bus/interface controller 630, the interface bus 640 is used to facilitate the transition from various interface devices (such as the output device 642, the peripheral interface 644, and the communication device 646) to the basic configuration 602 Of communication. The example output device 642 includes a graphics processing unit 648 and an audio processing unit 650. The audio processing unit 650 can be configured to communicate with various external devices such as a display or speaker via one or more audio/video ports 652. The example peripheral interface 644 includes a serial interface controller 654 or a parallel interface controller 656, which can be configured to communicate with input devices such as keyboard, mouse, pen, voice input via one or more input/output ports 658 Devices, touch input devices, etc.) or other peripheral devices (such as printers, scanners, etc.). An example communication device 646 includes a network controller 660, which can be arranged to facilitate communication with one or more other computing devices 662 via a network communication link via one or more communication ports 664.
The network communication link can be an example of a communication medium. Communication media can often be through computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transmission mechanisms, and can include any information transmission media. A "modulated data signal" may be a signal that has one or more characteristics or features that are set or changed in such a way as to encode information in the signal. By way of example but not limitation, the communication media may include wired media such as a wired network or a direct connection, wireless media such as original sound, radio frequency (RF), microwave, infrared (IR), and other wireless media. Used in this article The term computer-readable media can include both storage media and communication media.
The computing device 600 can be implemented as a mobile phone, a personal assistant (PDA), a personal media player, a wireless web monitoring device, a personal headset device, a dedicated device, or a hybrid device containing any of the above functions. Part of a small and portable (or mobile) electronic device. The computing device 600 can be implemented as a personal computer including a laptop configuration and a non-laptop configuration. The computer device 600 can also be any type of network computing device. The computing device 600 may also be an automatic system described herein.
The embodiments described herein may include the use of a special purpose or a general purpose computer with different computer hardware modules or software modules.
Embodiments within the scope of the present invention also include computer-readable media for carrying or executing computer-executable instructions or data structures stored thereon. Such computer-readable media can be any available media that can be accessed through a general-purpose or special-purpose computer. By way of example but not limitation, such computer-readable media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage, other magnetic storage devices, or may be used in the form of computer-executable instructions or data structures To carry and store expected program code values and any other media that can be accessed by a general purpose computer or a special purpose computer. When information is transferred or provided to a computer through a network or another communication connection (hard-wired, wireless, or a combination of hard-wired or wireless), the computer appropriately treats the connection as a computer Read the medium. Therefore, any such connection is appropriately called a computer-readable medium. The combination of the above should also be included in the scope of computer-readable media.
Computer executable instructions include, for example, cause a general purpose computer, special purpose A computer or a special purpose processing device to perform a certain function or group of instructions and data. Although the subject matter has been described in terms of structural features and/or method operations, it should be understood that the subject matter defined within the scope of the appended application does not necessarily limit the specific features or operations described above. On the contrary, the special features and operations described above are disclosed as an example form of executing the request.
As used herein, the term "module" or "component" can refer to software objects or routines executed in a computing system. The various components, modules, engines, and servers described herein can be executed as targets or processes executed on the computing system (for example, as separate threads). While the system and method described in this article are well executed in software, it is also possible and expected to execute in hardware or a combination of software and hardware. In this description, a "computing entity" can be any computing system previously defined in this article, or any module or combination of modules running a computing system.
Regarding the use of any plural and/or individual words, as suitable for the environment and/or application, those skilled in the art can transform from plural to individual and/or from individual to plural. Various single/plural exchanges can be explained in the text for clarity.
Those skilled in the art should understand that the words generally used in the text and especially in the scope of the attached application (ie, the part of the scope of the attached application) are usually expressed as "open" words (ie, the words "including" Should be interpreted as "including but not limited to", the word "having" should be interpreted as "having at least", and the word "includes" should be interpreted as "including but not limited to" etc.). Those skilled in the art should also understand that if one of a specific quantity refers to the request item list If the quote is expected, then such an expectation will be explicitly listed in the request, and if such an enumeration is absent, this expectation will not exist. For example, as an aid to understanding, the following appended claims may include the use of the introductory phrases "at least one" and "one or more" to introduce the list of claims. However, the use of such phrases should not be construed as implying that the restriction on the introduction of one of the claims listed by the non-qualifying article "a" includes any particular claim listed in such an introduction to an embodiment that includes only one such enumeration, even if When the same claim contains the introduction phrase "one or more" or "at least one" and the non-qualifying article "one" (ie, "one" should be interpreted as meaning "at least one" or "one or more"); The same applies to the qualifying articles used to introduce the claim list. In addition, even if a specific number of listings for the introduction of a claim is explicitly enumerated, those skilled in the art should understand that such enumeration will be interpreted as indicating at least the enumerated number (ie, directly enumerating "two enumerations" without other modifiers , It means at least two enumerations, or two or more enumerations). In addition, in sentences that use a convention similar to "at least one of A, B, and C", generally, such a structure expects those skilled in the art to understand such convention (ie, "Have A, B, and C" "At least one of the systems" will include, but is not limited to, systems with only A, systems with only B, systems with only C, systems with A and B, systems with A and C, systems with B and C Systems, and/or systems with A, B, and C, etc."). In sentences that use a convention similar to "at least one of A, B, or C", in general, such a structure is expected to be understood by those skilled in the art (ie, "has at least one of A, B or C" "One-for-one system" will include, but is not limited to, a system with only A, a system with only B, a system with only C, a system with A and B, a system with A and C, a system with B and C, And/or systems with A, B, and C, etc. Wait"). Those skilled in the art should also understand that, in fact, any transitional conjunctions and/or phrases representing two or more alternative words, whether in the specification, claims or drawings, should be construed as considering the inclusion of these words. 1. The possibility of any or all of these words. For example, the phrase "A or B" should be understood to include the possibility of "A" or "B" or "A and B".
In addition, in the context of the disclosure of features or aspects described in the Markusson group, those skilled in the art should understand that the disclosure is also described in terms of a single element or a subgroup of elements of the Markusson group.
Those skilled in the art should understand that, for any and all purposes, such as providing a written description, all ranges disclosed in the text also include any and all possible subranges and combinations of subranges. Any listed range can be easily understood as effectively describing and causing the same range to be broken down into at least equal halves, thirds, quarters, fifths, deciles, etc. As a non-limiting example, each range discussed in the text can be easily decomposed into a low three-segment, a middle three-segment, and a high three-segment. Those skilled in the art should understand that all languages such as "up to", "at least" and the like include enumerated quantities and references to ranges that can be subsequently broken down into sub-ranges as discussed above. Finally, those skilled in the art should understand that a range includes each individual member. Thus, for example, a group with 1-3 batteries means a group with 1 battery, 2 batteries, or 3 batteries. Similarly, a group with 1-5 batteries means a group with 1 battery, 2 batteries, 3 batteries, 4 batteries, 5 batteries, and so on.
Those skilled in the art should realize that changes and modifications made without departing from the spirit and scope of the invention disclosed in the scope of the patent application attached to the invention fall within the scope of the patent protection of the invention. About the protection defined by the present invention For the scope, please refer to the attached scope of patent application.
<p>100aSEO system</p><p>100bSEO system</p><p>102Internet</p><p>104Correlator</p><p>106Web server</p><p>108Depth Index Engine</p><p>112SEO Module</p><p>120SEO computing system</p><p>122Analysis Module</p><p>124Judgment Module</p><p>126Report Module</p><p>128Website Computing System</p><p>129Website Database</p><p>130Physical website</p><p>132Physical webpage</p><p>140Social Media Website</p><p>142Social Media Page</p><p>200Method</p><p>210Block</p><p>220Block</p><p>230Block</p><p>Figure 510</p><p>Form 520</p><p>600Calculating device</p><p>602Basic configuration</p><p>604Processor</p><p>606System Memory</p><p>608Storage bus</p><p>610Level 1 cache</p><p>612Secondary cache</p><p>614Processor core</p><p>616register</p><p>618Storage Controller</p><p>620operating system</p><p>622application</p><p>624Program data</p><p>626Judgment App</p><p>628Judgment data</p><p>630Bus/Interface Controller</p><p>632Data storage device</p><p>634Storage interface bus</p><p>636Removable storage device</p><p>638Non-removable storage device</p><p>640Interface bus</p><p>642Output device</p><p>644 Peripheral interface</p><p>646Communication device</p><p>648Graphics Processing Unit</p><p>650Audio Processing Unit</p><p>652Audio/Video Port</p><p>654 Serial Interface Controller</p><p>656Parallel Interface Controller</p><p>658Input/Output Port</p><p>660Network Controller</p><p>662Computer</p><p>664Communication port</p>
Figure 1A shows an embodiment of an SEO system; Figure 1B shows another embodiment of an SEO system; Figure 2 shows a method of increasing the SEO performance of a webpage of a website; Figure 3 It is a schematic diagram showing a screenshot of a graphical interface; Figure 4 is a schematic diagram showing a screenshot of a graphical interface; Figure 5 is a schematic diagram showing a screenshot of a graphical interface ; Figure 6 shows an embodiment of a computing system that can execute some of the embodiments described herein.
7 sheets
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Every citation, both ways
| Document | Relation | Office | Cited during |
|---|---|---|---|
| TW200643747A | Cites | Taiwan Province of China | Examiner |
| US2010119053A1 | Cites | United States of America | Examiner |
| US2011219295A1 | Cites | United States of America | Examiner |
| US20100119053A1 | Cites | United States of America | – |
| US20110219295A1 | Cites | United States of America | – |
25 members in 4 offices
Priority claims4
| Document | Office | Kind | Date |
|---|---|---|---|
| 61449064 | United States of America | – | |
| 201161449064 | United States of America | P | |
| 13270917 | United States of America | – | |
| 201113270917 | United States of America | A |
Members25
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| US2012226678A1 | United States of America | A1 | |
| US2012226713A1 | United States of America | A1 | |
| WO2012118989A2 | World Intellectual Property Organization (WIPO) | A2 | |
| WO2012118997A2 | World Intellectual Property Organization (WIPO) | A2 | |
| WO2012119001A2 | World Intellectual Property Organization (WIPO) | A2 | |
| TW201239642A | Taiwan Province of China | A | |
| US2012254152A1 | United States of America | A1 | |
| TW201241651A | Taiwan Province of China | A | |
| TW201243631A | Taiwan Province of China | A | |
| WO2012118989A3 | World Intellectual Property Organization (WIPO) | A3 | |
| WO2012118997A3 | World Intellectual Property Organization (WIPO) | A3 | |
| WO2012119001A3 | World Intellectual Property Organization (WIPO) | A3 | |
| US2013054591A1 | United States of America | A1 | |
| US2013132437A1 | United States of America | A1 | |
| WO2013177230A1 | World Intellectual Property Organization (WIPO) | A1 | |
| DE112012001077T5 | Germany | T5 | |
| DE112012001066T5 | Germany | T5 | |
| US8909651B2 | United States of America | B2 | |
| TWI474199BThis record | Taiwan Province of China | B | |
| US8972275B2 | United States of America | B2 | |
| US2015066590A1 | United States of America | A1 | |
| DE112013002594T5 | Germany | T5 | |
| US9235570B2 | United States of America | B2 | |
| TWI522822B | Taiwan Province of China | B | |
| US9275395B2 | United States of America | B2 |
1 legal event, as the office reported them to INPADOC
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|---|---|---|
| Annulment or lapse of patent due to non-payment of feesLapsedMM4A | MM4A |
Numbers
- Publication
- I474199
- Application
- 101106655
Titles2
- English
- A METHOD OF INCREASING SEARCH ENGINE OPTIMIATION PERFORMANCE OF A SOCIAL MEDIA WEBPAGE OF AN ENTITY
- Chinese
- 增加實體之社會媒體網頁之搜尋引擎優化性能之方法
Classification
- CPC, 2
- G06F16/951
- G06F16/958
- IPC, 1
- G06F17 30