Information generating device and information generating program

The information generation device and program address the inadequacies of existing SEO and MEO by evaluating target information's suitability through display rankings and hidden information visualization, enhancing search engine optimization strategies.

JP7791519B2Active Publication Date: 2025-12-24EFFECTIVE CO LTD
View PDF 5 Cites 0 Cited by

Patent Information

Application Number
JP2021184599
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2021-11-12
Publication Date
2025-12-24
Estimated Expiration
2041-11-12

AI Technical Summary

Technical Problem

Existing technologies for SEO and MEO fail to adequately evaluate the suitability of specific websites for search engine searches, lacking a comprehensive assessment of display rankings and hidden information.

Method used

An information generation device and program that sets target information, registers keyword patterns, acquires display rankings, and generates evaluation information based on these rankings to assess the suitability of target information for search engines, including visualization of display orders and hidden information.

Benefits of technology

Enables a detailed evaluation of target information's suitability for search engines, providing insights into display rankings and hidden information, facilitating improved SEO and MEO strategies.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 0007791519000001
    Figure 0007791519000001
  • Figure 0007791519000002
    Figure 0007791519000002
  • Figure 0007791519000003
    Figure 0007791519000003
Patent Text Reader

Abstract

To preferably evaluate a degree at which object information is adapted to search by a search engine.SOLUTION: An information generation device 1 includes an object information setting part 10 for setting object information, a keyword pattern registration part 11 for registering a plurality of keyword patterns, a display order acquisition part 12 acquiring a plurality of display orders being orders of displaying the object information in the case that a search engine performs search by using each of the plurality of keyword patterns, and an evaluation information generation part 14 for generating evaluation information for evaluating the object information on the basis of the plurality of display orders acquired by the display order acquisition part 12 to each of the plurality of keyword patterns.SELECTED DRAWING: Figure 1
Need to check novelty before this filing date? Find Prior Art

Description

[Technical Field]

[0001] The present disclosure relates to an information generation device and an information generation program. [Background technology]

[0002] Known approaches to bringing search results closer to desired results when a search is performed using a specific keyword on a search engine include, for example, SEO (Search Engine Optimization) and MEO (Map Engine Optimization). For example, Patent Document 1 discloses a technology that generates a word group by combining a keyword used by a user for a search with a word related to the keyword, and obtains the number of searches performed by the search engine using the word group. This technology is said to enable the extraction of keywords that interest the user in a short period of time. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2020-42637 Summary of the Invention [Problem to be solved by the invention]

[0004] The above-mentioned technology simply obtains the number of searches for a group of words that combines a specified keyword with related words. However, when a specific website, etc., is the specific target of research, a different approach may be required. For example, by appropriately understanding the degree to which the website, etc., being researched, is suited to search engine searches, it may be possible to perform more sophisticated SEO or MEO.

[0005] Therefore, an information generation device and an information generation program according to the present disclosure aim to appropriately evaluate the degree to which target information is suitable for a search by a search engine. [Means for solving the problem]

[0006] An information generation device (1) according to one embodiment of the present disclosure includes a target information setting unit (10) that sets target information, a keyword pattern registration unit (11) that registers a plurality of keyword patterns, a display ranking acquisition unit (12) that acquires a plurality of display rankings that are the rankings in which the target information will be displayed when a search is performed by a search engine using each of the plurality of keyword patterns, and an evaluation information generation unit (14) that generates evaluation information (E) for evaluating the target information based on the plurality of display rankings acquired by the display ranking acquisition unit (12) for each of the plurality of keyword patterns.

[0007] An information generation program (P) according to one embodiment of the present disclosure causes a computer (C) to function as a target information setting unit (10) that sets target information, a keyword pattern registration unit (11) that registers a plurality of keyword patterns, a display ranking acquisition unit (12) that acquires a plurality of display rankings that are the rankings in which the target information will be displayed when a search is performed by a search engine using each of the plurality of keyword patterns, and an evaluation information generation unit (14) that generates evaluation information (E) for evaluating the target information based on the plurality of display rankings acquired by the display ranking acquisition unit (12) for each of the plurality of keyword patterns.

[0008] According to at least one of the information generating device (1) and the information generating program (P), information such as a company or a store is set as target information, and when a search is performed by a search engine using a registered keyword pattern, a display order in which the target information is displayed on a search result screen or the like is obtained. At this time, a display order for each of a plurality of keyword patterns is obtained. Then, based on the plurality of display orders thus obtained, evaluation information (E) for evaluating the target information is generated. Therefore, by comparing the target information with the evaluation information (E) based on the display order of the target information, it is possible to appropriately evaluate the degree to which the target information is suitable for a search by a search engine.

[0009] An information generating device (1) according to one aspect of the present disclosure includes a display order group acquiring unit (13) that acquires, from among a plurality of display order groups, a display order group to which a display order acquired by a display order acquiring unit (12) belongs, and the evaluation information (E) may include visualization information that visualizes and displays the number of display orders corresponding to the number of display orders acquired by the display order acquiring unit (12) for a predetermined period that belong to each of the plurality of display order groups. In this way, the display orders are allocated to the display order groups and the evaluation information (E) is visualized, making it easier for a user to understand the content of the evaluation information (E).

[0010] In an information generating device (1) according to an aspect of the present disclosure, the visualized information includes display rank number graphing information that visualizes and displays a transition of the display rank number in a graph, and the graph may have a first axis indicating a period represented by at least one of year, month, day, and hour, and a second axis indicating the display rank number according to the period indicated by the first axis. In this way, the evaluation information (E) is visualized as a graph in an appropriate manner, making it easier for the user to understand the content of the evaluation information (E).

[0011] In the information generating device (1) according to an aspect of the present disclosure, the visualized information may include digitized information that visualizes and displays the display ranking numbers as numbers in a graph. By visualizing the evaluation information (E) as numbers in a graph, the user can more easily understand the content of the evaluation information (E).

[0012] In the information generating device (1) according to one aspect of the present disclosure, the visualization information may include non-display number graphing information that visualizes and displays the non-display number, which is the number of pieces of target information that are hidden when a search is performed by a search engine using each of a plurality of keyword patterns, in a graph. This visualizes the number of pieces of target information that are hidden on a search result screen or the like when a search is performed by a search engine using a registered keyword pattern, making it possible to provide the user with detailed information, including the number of pieces of target information that are hidden, in an easy-to-understand manner.

[0013] In an information generating device (1) according to one aspect of the present disclosure, a keyword pattern is classified into one of a plurality of keyword groups, a display ranking acquisition unit (12) acquires, for each keyword group, a plurality of display rankings which are the rankings in which target information will be displayed when a search is performed by a search engine using each of the plurality of keyword patterns classified into the keyword group, and an evaluation information generating unit (14) may generate, for each keyword group, evaluation information (E) for evaluating the target information based on the plurality of display rankings acquired by the display ranking acquisition unit (12) for each of the plurality of keyword patterns classified into the keyword group. In this way, the evaluation information (E) for the target information is generated using keyword patterns classified based on predetermined conditions, making it possible to evaluate the target information from multiple angles.

[0014] In the information generating device (1) according to an aspect of the present disclosure, the evaluation information (E) may include display rank score information regarding the display rank score according to the display rank acquired by the display rank acquisition unit (12). This makes it easier for the user to understand the content of the evaluation information (E).

[0015] In the information generating device (1) according to an aspect of the present disclosure, the evaluation information (E) may include total display rank score information regarding a total display rank score obtained by adding up the display rank scores according to the display ranks acquired by the display rank acquiring unit (12). This makes it easier for the user to understand the content of the evaluation information (E).

[0016] An information generating device (1) according to an aspect of the present disclosure includes a display order group acquiring unit (13) that acquires, from among a plurality of display order groups, a display order group to which a display order acquired by the display order acquiring unit (12) belongs, and the evaluation information (E) may include display order group score information regarding a display order group score according to the display order group to which the display order acquired by the display order acquiring unit (12) belongs during a preset period. This makes it easier for a user to understand the content of the evaluation information (E).

[0017] An information generating device (1) according to one aspect of the present disclosure includes a display order group acquiring unit (13) that acquires, from among a plurality of display order groups, a display order group to which a display order acquired by the display order acquiring unit (12) belongs, and the evaluation information (E) may include total display order group score information regarding a total display order group score obtained by adding up display order group scores corresponding to the display order groups to which the display orders acquired by the display order acquiring unit (12) belong during a preset period. This makes it easier for a user to understand the content of the evaluation information (E).

[0018] Note that the reference numerals in the parentheses above indicate the reference numerals of components in the embodiments described below as an example of the present disclosure, and do not limit the present disclosure to the aspects of the embodiments. [Effects of the Invention]

[0019] In this way, the information generation device and information generation program according to the present disclosure can suitably evaluate the degree to which target information is suitable for a search by a search engine. [Brief explanation of the drawings]

[0020] [Figure 1] FIG. 1 is a block diagram showing the functional configuration of an information generating device according to this embodiment. [Figure 2] FIG. 2 is a diagram showing an example of visualized and displayed evaluation information. [Figure 3] FIG. 3 is a diagram showing an example of visualized and displayed evaluation information. [Figure 4] FIG. 4 is a diagram showing an example of visualized and displayed evaluation information. [Figure 5] FIG. 5 is a flowchart showing the information generation process executed by the information generation device. [Figure 6] FIG. 6 is a block diagram showing the module configuration of the information generating program. DETAILED DESCRIPTION OF THE INVENTION

[0021] Hereinafter, exemplary embodiments will be described with reference to the drawings. Note that the same or corresponding parts in each drawing are designated by the same reference numerals, and redundant explanations will be omitted.

[0022] [Overall configuration] FIG. 1 is a block diagram showing the functional configuration of an information generating device 1 according to this embodiment. The information generating device 1 shown in FIG. 1 is a device that acquires the display order in which target information is displayed when a search is performed by a search engine using registered search words (i.e., keyword patterns, which will be described later), and generates evaluation information E for evaluating the target information based on the acquired display order. That is, the information generating device 1 informs a user of the degree to which the target information suitably matches the search algorithm of the search engine as the evaluation information E. Therefore, the information generating device 1 can be suitably used for so-called SEO or MEO, etc. The information generating device 1 is configured as a computer C, such as a server, for example.

[0023] Here, "target information" refers to information that is to be evaluated for its suitability for the search algorithm of a search engine. Specifically, the target information may be, for example, information about a company or store. More specifically, the target information may include, for example, an introductory article, photo, homepage, review, address, or telephone number of the company or store.

[0024] "SEO" is the practice of optimizing various items of target information so that they are extracted highly in search engine search algorithms. "MEO" is the practice of optimizing various items of target information so that they are extracted highly in search engine search algorithms when searching for facilities, etc. on so-called web maps. MEO is a form of SEO and is also known as local SEO.

[0025] A "search engine" is a device that extracts and outputs information corresponding to an input search term, etc., from a group of indexed information based on the search algorithm possessed by the search engine. When a search engine performs an information search, it extracts multiple pieces of information and outputs them in order of their degree of match with the input search term, etc. (ranking). The search results output by the search engine are displayed, for example, on the display of a user terminal, etc. The order in which the target information is displayed at this time is called the "display rank." The search engine may be implemented, for example, in the information generating device 1, or may be implemented in a server, etc. separate from the information generating device 1.

[0026] A "keyword pattern" is a character string or the like used for searching by a search engine. For example, a keyword pattern may be a word consisting of one word, or a phrase consisting of one short sentence. A keyword pattern may also be a group of words consisting of multiple words, or a group of phrases consisting of multiple short sentences. Alternatively, a keyword pattern may be a combination of a word and a short sentence.

[0027] A keyword pattern may be classified into one of multiple keyword groups. Here, a "keyword group" is a group that classifies the characteristics of a keyword pattern, and is also called a layer. A keyword group may be a group that classifies keyword patterns according to the content of the keyword pattern, for example. Here, the keyword groups are defined as a "clear layer," a "visible layer," a "semi-visible layer," and a "latent layer," and each keyword pattern is classified into one of these keyword groups.

[0028] More specifically, the "clear layer" may be a keyword group containing keyword patterns for which the purpose of the search, the means to achieve that purpose, and the location for achieving that purpose are clear. The "manifest layer" may be a keyword group containing keyword patterns for which the purpose of the search is clear but the means to achieve that purpose and the location for achieving that purpose are unclear. The "latent layer" may be a keyword group containing keyword patterns for which the purpose of the search, the means to achieve that purpose, and the location for achieving that purpose are unclear. The "semi-latent layer" may be a keyword group containing keyword patterns with content intermediate between the manifest layer and the latent layer. As a specific example, a keyword pattern such as "Shibuya ABC Bar all-you-can-drink course" may be classified into the clear layer. Furthermore, a keyword pattern such as "all-you-can-drink course" may be classified into the manifest layer. Furthermore, a keyword pattern such as "welcome party" may be classified into the latent layer. Each keyword pattern may be classified into a keyword group selected by a user or an administrator, or may be classified into a keyword group selected by the information generating device 1 according to predetermined conditions.

[0029] "Evaluation information" is information for evaluating target information. Specifically, the evaluation information E is secondary information generated based on the display ranking as described below, and may be information indicating the degree to which the target information matches the search algorithm of a search engine (i.e., the achievement level of so-called SEO or MEO).

[0030] The physical configuration of the information generating device 1 will be described. The information generating device 1 is physically configured as a computer C (server) equipped with a control arithmetic device, a storage device, and an input / output device, and is capable of wired or wireless communication with an external device such as a user terminal. The control arithmetic device is configured as a controller such as a CPU (Central Processing Unit), and executes arithmetic processing and controls the storage device and the input / output device. The storage device includes, for example, a main storage device and an auxiliary storage device. The main storage device is configured, for example, by a RAM (Random Access Memory). The auxiliary storage device is configured, for example, by a ROM (Read Only Memory). The input / output device includes, for example, an input device that receives data from the outside and transmits it to the storage device, and an output device that outputs, to the outside, the results of calculations performed by the control arithmetic device and stored in the storage device. The output device may output evaluation information including visualization information (described later) to the user terminal. In this case, the visualization information may be visibly displayed on a display or the like provided on the user terminal.

[0031] The information generating device 1 executes predetermined processing by, for example, loading a program stored in ROM into RAM and executing the program loaded into RAM with a CPU. Here, the information generating device 1 executes information generation processing, which will be described later, by loading an information generating program P stored in ROM into RAM and executing the information generating program P loaded into RAM with a CPU. Note that the information generating device 1 may have a physical configuration different from the above-described configuration.

[0032] Next, we will explain the functional configuration of the information generating device 1. The information generating device 1 includes, as its functional configuration, a target information setting unit 10, a keyword pattern registration unit 11, a display order acquisition unit 12, a display order group acquisition unit 13, and an evaluation information generating unit 14.

[0033] The target information setting unit 10 sets the target information. For example, the target information setting unit 10 may set the target information based on setting information input from a user terminal. As described above, the target information is information about a company, a store, etc., and in this case, it is assumed that the target information is information about the homepage of the restaurant "Shibuya ABC Bar." The target information may be one's own information (i.e., information about a property owned or managed by the person using the information generating device 1) or another person's information (i.e., information about a property owned or managed by a person other than the person using the information generating device 1). Alternatively, the target information may include both one's own information and another person's information. In this case, the evaluation information generating unit 14, which will be described later, generates evaluation information E for both pieces of target information. The target information setting unit 10 may set any information selected from a plurality of pieces of information stored in advance as the target information, or may set the information to be set as the target information by inputting the information.

[0034] The keyword pattern registration unit 11 registers multiple keyword patterns. For example, the keyword pattern registration unit 11 may set a keyword pattern based on registration information input from a user terminal. As described above, a keyword pattern is a character string or the like used for searching by a search engine. Here, it is assumed that a group of words such as "Shibuya Izakaya," "Shibuya Banquet," "Shibuya Girls' Night Out," and "Shibuya All-You-Can-Drink" are registered as keyword patterns (see FIG. 3). The keyword pattern registration unit 11 preferably registers 30 or more keyword patterns, more preferably 50 or more keyword patterns, and even more preferably 100 or more keyword patterns. The greater the number of keyword patterns registered by the keyword pattern registration unit 11, the more accurate the evaluation of target information can be. Note that the keyword pattern registration unit 11 may classify each keyword pattern into one of multiple keyword groups and register it.

[0035] The display ranking acquisition unit 12 acquires multiple display rankings, which are the rankings in which target information will be displayed when a search is performed by a search engine using each of multiple keyword patterns. For example, the display ranking acquisition unit 12 acquires display rankings such as 1st, 2nd, 3rd, etc. (such rankings (ranks divided by 1st place) are also referred to as single rankings). For example, if a search using the keyword pattern "Shibuya Izakaya" displays the homepage of "Shibuya ABC Bar" (i.e., target information) in third place, and a search using the keyword pattern "Shibuya Banquet" displays the homepage of "Shibuya ABC Bar" (i.e., target information) in tenth place, the display rankings will be third and tenth. If the keyword pattern registration unit 11 classifies and registers each keyword pattern into one of multiple keyword groups, the display ranking acquisition unit 12 acquires, for each keyword group, multiple display rankings, which are the rankings in which target information will be displayed when a search is performed by a search engine using each of multiple keyword patterns classified into the keyword group. The display ranking acquisition unit 12 may acquire the display rankings by, for example, accessing an external site or the like, or may acquire the display rankings by actually performing a search using a search engine.

[0036] The display order group acquiring unit 13 acquires, from among the multiple display order groups, a display order group to which the display order acquired by the display order acquiring unit 12 belongs. A "display order group" is a group of orders with a range. For example, the display order groups may be defined as a first group consisting of first to third order, a second group consisting of fourth to twentieth order, and a third group consisting of twentieth order and above. For example, if a search using the keyword pattern "Shibuya Izakaya" displays the homepage of "Shibuya ABC Bar" (i.e., the target information) in third place, and a search using the keyword pattern "Shibuya Banquet" displays the homepage of "Shibuya ABC Bar" (i.e., the target information) in tenth place, the display order groups are the first group (the display order group to which the third-place display order belongs) and the second group (the display order group to which the tenth-place display order belongs). In addition, the display order group acquiring unit 13 may process target information that would be hidden when a search is performed by a search engine using each of the multiple keyword patterns as belonging to the hidden group. In this case, the display order group acquisition unit 13 may count the number of pieces of target information belonging to the non-display group as the non-display number. In other words, the display order group acquisition unit 13 may acquire the non-display number, which is the number of pieces of target information that will be hidden when a search is performed by a search engine using each of a plurality of keyword patterns.

[0037] The evaluation information generation unit 14 generates evaluation information E based on the multiple display orders acquired by the display order acquisition unit 12 for each of the multiple keyword patterns. The evaluation information E includes visualization information. "Visualization information" refers to information that is displayed on a display or the like and is visible, and may be information that is displayed in a manner that is particularly easy to recognize visually. Here, visualization information refers to information that, when transmitted to a user terminal, is displayed in a visible manner on a display or the like provided on the user terminal.

[0038] 2, 3, and 4 are diagrams showing examples of visualized and displayed evaluation information. As shown in Fig. 2 to Fig. 4, the evaluation information E generated by the evaluation information generation unit 14 includes visualization information for visualizing and displaying the number of display orders corresponding to the number of display orders acquired by the display order acquisition unit 12 during a preset period that belong to each of a plurality of display order groups.

[0039] First, Fig. 2 will be described. In the evaluation information E shown in Fig. 2, the visualization information includes display rank number graphing information that visualizes and displays the transition of the number of display ranks in a graph. The graph has a horizontal axis (first axis) that indicates a period represented by months, and a vertical axis (second axis) that indicates the number of display ranks corresponding to the period represented by the horizontal axis (i.e., per month). Note that the horizontal axis does not have to indicate a period represented by months, and may indicate a period represented by years, days, or hours, for example. In other words, the graph has a first axis that indicates a period represented by at least one of years, months, days, and hours, and a second axis that indicates the number of display ranks corresponding to the period represented by the first axis.

[0040] Regarding the "number of display ranks according to the period indicated by the horizontal axis (first axis)," for example, when the horizontal axis represents a period represented by months, if the target information is searched for using the first keyword pattern and the second keyword pattern on each day of that month, and the number of times (number of days) the first keyword pattern was ranked between 1st and 3rd is three, and the number of times (number of days) the second keyword pattern was ranked between 1st and 3rd is two, then the number of display ranks for that month may be calculated as 3 + 2 = 5. In other words, the number of display ranks may be the total number of days the keyword patterns were displayed during that period.

[0041] 2, the visualization information includes hidden-number graphing information that visualizes and displays the hidden-number, which is the number of pieces of target information that are hidden when a search is performed by a search engine using each of a plurality of keyword patterns. "Hidden" means that the information is not displayed as a search result even when a search is performed by a search engine using the keyword pattern, and includes, for example, when the target information is not indexed.

[0042] Furthermore, in Figure 2, the visualization information includes digitized information that visualizes and displays the number of display rankings as numbers in a graph. Here, the digitized information displayed is "Top 3 (including knowledge panel): 28," "4th to 20th: 5," "20th - displayed keywords: 31," and "Hidden keywords: 154." This makes it easier to recognize the number of display rankings without having to interpret the graph in detail. Note that the form of the digitized information is not limited to that shown in Figure 2, and it may be any information that visualizes and displays any of the values ​​on the graph as numbers.

[0043] When each keyword pattern is classified into one of a plurality of keyword groups and registered by the keyword pattern registration unit 11, the evaluation information generation unit 14 generates, for each keyword group, evaluation information E for evaluating target information based on the plurality of display orders acquired by the display order acquisition unit 12 for each of the plurality of keyword patterns classified into the keyword group. Fig. 2 shows evaluation information E generated by the evaluation information generation unit 14 based on the display orders acquired for keyword patterns classified into keyword groups of the clear layer and registered.

[0044] Next, FIG. 3 will be described. In the evaluation information E shown in FIG. 3, the visualization information includes display rank count tabulation information that visualizes and displays the number of display ranks for each keyword pattern in a certain month in a table. For example, in this table, the number of times that the keyword pattern "Shibuya Izakaya" was displayed in the "top three" places is "6 times." In other words, this table shows that, as a result of searching for target information using the keyword pattern "Shibuya Izakaya" on each day of the month, the number of times (number of days) that the information was displayed between first and third places was 6 times. Note that this table does not have to be compiled by month, but may be compiled by year, day, or hour, for example.

[0045] Next, FIG. 4 will be described. The evaluation information E shown in FIG. 4 includes total display rank group score information regarding a total display rank group score obtained by adding up display rank group scores according to the display rank groups to which the display ranks acquired by the display rank acquisition unit 12 during a preset period belong. The graph shown on the right side of FIG. 4 has a horizontal axis indicating a period represented by months and a vertical axis indicating the total display rank group score according to the period represented by the horizontal axis (i.e., for each month). Note that the horizontal axis does not have to indicate a period represented by months, and may indicate a period represented by years, days, or hours, for example. The numerical values ​​shown on the left side of FIG. 4 indicate the total display rank group score at a specific point in time, and in this case, the total display rank group score for May 2021 is shown.

[0046] The "total display rank group score" is a numerical value obtained by adding up the display rank group scores within a predetermined period, and in this case, is a numerical value obtained by adding up by month. The total display rank group score may be, for example, a numerical value obtained by adding up the display rank group scores for all keyword patterns. The "display rank group score" is a score set for each display rank group, and is calculated for each piece of target information according to the number of times it has achieved a display rank belonging to each display rank group. For example, the first group (1st to 3rd place) may be given 10 points per time, the second group (4th to 20th place) may be given 3 points per time, and the third group (20th place and above) may be given 1 point per time. Note that if the information is not displayed, the score may be 0. In this case, for example, if the search results for target information using the first keyword pattern and the second keyword pattern on each day of the month show that the number of times (number of days) the first keyword pattern was used to rank in the first group was 8 times, the number of times (number of days) the second keyword pattern was used to rank in the second group was 7 times, and the number of times (number of days) the second keyword pattern was used to rank in the second group was 6 times, and the number of times (number of days) the second keyword pattern was used to rank in the third group was 5 times, the total display rank group score may be calculated as (8 x 10) + (7 x 3) + (6 x 3) + (5 x 1) = 124. In this way, the total display rank group score is calculated by adding up the display rank scores corresponding to all display ranks belonging to multiple display rank groups. As shown in Figure 4, the total display rank group score is calculated chronologically by month, making it possible to grasp the effectiveness of SEO, MEO, etc., over time.

[0047] [Information generation processing] Next, a description will be given of the information generation process executed by the information generation device 1. Fig. 5 is a flowchart showing the information generation process executed by the information generation device 1. The information generation process shown in Fig. 5 is a process of obtaining a display order in which target information is displayed when a search is performed by a search engine using a registered keyword pattern, and generating evaluation information E for evaluating the target information based on the obtained display order.

[0048] In step S10, the target information setting unit 10 of the information generating device 1 sets the target information. For example, the target information setting unit 10 may set the target information based on setting information input from a user terminal. Thereafter, the information generating process proceeds to step S12.

[0049] In step S12, the keyword pattern registration unit 11 of the information generation device 1 registers a plurality of keyword patterns. For example, the keyword pattern registration unit 11 may set keyword patterns based on registration information input from a user terminal. Here, the keyword pattern registration unit 11 classifies each keyword pattern into one of a plurality of keyword groups and registers it. Thereafter, the information generation process proceeds to step S14.

[0050] In step S14, the display order acquisition unit 12 of the information generation device 1 acquires multiple display orders, which are the orders in which the target information will be displayed when a search is performed by a search engine using each of the multiple keyword patterns. Here, since each keyword pattern is classified into one of multiple keyword groups and registered by the keyword pattern registration unit 11, the display order acquisition unit 12 acquires multiple display orders, for each keyword group, which are the orders in which the target information will be displayed when a search is performed by a search engine using each of the multiple keyword patterns classified into that keyword group. Thereafter, the information generation process proceeds to step S16.

[0051] In step S16, the display order group acquisition unit 13 of the information generation device 1 acquires, from among the plurality of display order groups, a display order group to which the display order acquired by the display order acquisition unit 12 belongs. After that, the information generation process proceeds to step S18.

[0052] In step S18, the evaluation information generation unit 14 of the information generating device 1 generates evaluation information E based on the multiple display orders acquired by the display order acquisition unit 12 for each of the multiple keyword patterns. Here, since the keyword pattern registration unit 11 classifies and registers each keyword pattern into one of multiple keyword groups, the evaluation information generation unit 14 generates evaluation information E for evaluating the target information for each keyword group based on the multiple display orders acquired by the display order acquisition unit 12 for each of the multiple keyword patterns classified into that keyword group. The evaluation information E includes visualization information, which includes graphed display order number information, digitized graphed non-display number information, tabulated display order number information, and total display order group score information. The visualization information is transmitted to the user terminal and displayed visibly on a display or the like provided on the user terminal. This completes the information generation process.

[0053] [Information generation program] An explanation will be given of an information generation program P for causing a computer C to function as an information generation device 1. Fig. 6 is a block diagram showing the module configuration of the information generation program P. The information generation program P shown in Fig. 6 includes a main module MM, a target information setting module M10, a keyword pattern registration module M11, a display order acquisition module M12, a display order group acquisition module M13, and an evaluation information generation module M14.

[0054] The main module MM is a part that performs overall control of the computer C. Functions realized by executing each of the target information setting module M10, the keyword pattern registration module M11, the display order acquisition module M12, the display order group acquisition module M13, and the evaluation information generation module M14 are similar to the functions of the target information setting unit 10, the keyword pattern registration unit 11, the display order acquisition unit 12, the display order group acquisition unit 13, and the evaluation information generation unit 14, respectively. Note that the information generation program P does not necessarily have to include the display order group acquisition module M13.

[0055] [Action and effect] As described above, the information generating device 1 includes a target information setting unit 10 that sets target information, a keyword pattern registration unit 11 that registers a plurality of keyword patterns, a display ranking acquisition unit 12 that acquires a plurality of display rankings which are the rankings in which the target information will be displayed when a search is performed by a search engine using each of the plurality of keyword patterns, and an evaluation information generating unit 14 that generates evaluation information E for evaluating the target information based on the plurality of display rankings acquired by the display ranking acquisition unit 12 for each of the plurality of keyword patterns.

[0056] The information generation program P causes a computer C to function as a target information setting unit 10 that sets target information, a keyword pattern registration unit 11 that registers multiple keyword patterns, a display ranking acquisition unit 12 that acquires multiple display rankings, which are the orders in which the target information will be displayed when a search is performed by a search engine using each of the multiple keyword patterns, and an evaluation information generation unit 14 that generates evaluation information E for evaluating the target information based on the multiple display rankings acquired by the display ranking acquisition unit 12 for each of the multiple keyword patterns.

[0057] According to at least one of the information generating device 1 and the information generating program P, information on, for example, a company or a store is set as target information, and when a search is performed by a search engine using a registered keyword pattern, a display order in which the target information is displayed on a search result screen or the like is obtained. At this time, a display order for each of a plurality of keyword patterns is obtained. Then, based on the plurality of display orders thus obtained, evaluation information E for evaluating the target information is generated. Therefore, by comparing the target information with the evaluation information E based on the display order of the target information, it is possible to appropriately evaluate the degree to which the target information is suitable for a search by a search engine.

[0058] The information generating device 1 includes a display order group acquiring unit 13 that acquires, from among a plurality of display order groups, a display order group to which a display order acquired by the display order acquiring unit 12 belongs, and the evaluation information E includes visualization information that visualizes and displays the number of display orders corresponding to the number of display orders acquired by the display order acquiring unit 12 during a preset period that belong to each of the plurality of display order groups. In this way, the display orders are allocated to the display order groups and the evaluation information E is visualized, making it easier for the user to understand the content of the evaluation information E.

[0059] In the information generating device 1, the visualized information includes display rank number graphing information that visualizes and displays the transition of the display rank number in a graph, and the graph has a first axis indicating a period represented by at least one of year, month, day, and hour, and a second axis indicating the display rank number according to the period indicated by the first axis. In this way, the evaluation information E is visualized as a graph in an appropriate format, making it easier for the user to understand the content of the evaluation information E.

[0060] In the information generating device 1, the visualized information includes digitized information that visualizes and displays the display ranking numbers as numbers on a graph. By visualizing the evaluation information E as numbers on a graph, the user can more easily understand the content of the evaluation information E.

[0061] In the information generating device 1, the visualization information includes non-display number graphing information that visualizes and displays, in a graph, the non-display number, which is the number of pieces of target information that are hidden when a search is performed by a search engine using each of a plurality of keyword patterns. According to this, the number of pieces of target information that are hidden on a search result screen or the like when a search is performed by a search engine using a registered keyword pattern is visualized as a graph, making it possible to provide the user with detailed information, including the number of pieces of target information that are hidden, in an easy-to-understand manner.

[0062] In the information generating device 1, keyword patterns are classified into one of a plurality of keyword groups, the display ranking acquiring unit 12 acquires, for each keyword group, a plurality of display rankings which are the rankings in which the target information will be displayed when a search is performed by a search engine using each of the plurality of keyword patterns classified into that keyword group, and the evaluation information generating unit 14 generates, for each keyword group, evaluation information E for evaluating the target information based on the plurality of display rankings acquired by the display ranking acquiring unit 12 for each of the plurality of keyword patterns classified into that keyword group. In this way, the evaluation information E of the target information is generated using keyword patterns classified based on predetermined conditions, making it possible to evaluate the target information from multiple angles.

[0063] In the information generating device 1, the evaluation information E includes display rank score information regarding the display rank score according to the display rank acquired by the display rank acquisition unit 12. This makes it easier for the user to understand the content of the evaluation information E.

[0064] In the information generating device 1, the evaluation information E includes total display rank score information regarding the total display rank score obtained by adding up the display rank scores according to the display ranks acquired by the display rank acquiring unit 12. This makes it easier for the user to understand the content of the evaluation information E.

[0065] The information generating device 1 includes a display order group acquiring unit 13 that acquires, from among a plurality of display order groups, a display order group to which a display order acquired by the display order acquiring unit 12 belongs, and the evaluation information E includes display order group score information related to a display order group score according to a display order group to which a display order acquired by the display order acquiring unit 12 during a preset period belongs. This makes it easier for the user to understand the content of the evaluation information E.

[0066] The information generating device 1 includes a display order group acquiring unit 13 that acquires, from among a plurality of display order groups, a display order group to which the display order acquired by the display order acquiring unit 12 belongs, and the evaluation information E includes total display order group score information related to a total display order group score obtained by adding up display order group scores according to the display order groups to which the display orders acquired by the display order acquiring unit 12 belong during a preset period. This makes it easier for the user to understand the content of the evaluation information E.

[0067] [Transformation] The above-described embodiment can be implemented in various forms with modifications or improvements made based on the knowledge of those skilled in the art.

[0068] For example, in the above-described embodiment, each keyword pattern is classified into one of a plurality of keyword groups. However, each keyword pattern may be classified into more than one (all or some) of the plurality of keyword groups, or may not be classified into any keyword group.

[0069] Furthermore, in the above-described embodiment, the evaluation information E includes total display order group score information regarding a total display order group score obtained by adding up display order group scores according to display order groups to which display orders acquired by the display order acquisition unit 12 during a predetermined period belong. However, the evaluation information E may also include display order group score information regarding display order group scores according to display order groups to which display orders acquired by the display order acquisition unit 12 during a predetermined period belong. In other words, the evaluation information E may include information regarding the display order group scores before being added up to form the total display order group score. This allows the user to evaluate the target information based on the display order group score, which is more detailed information than the total display order group score (i.e., the score before the amount of information is reduced by being added up).

[0070] Furthermore, the evaluation information E may include display rank score information regarding the display rank score according to the display rank acquired by the display rank acquisition unit 12. That is, in the evaluation information E, the display rank may not be converted into a display rank group, but the target information may be scored based on the display rank. For example, the first place may be assigned 10 points per time, the second place may be assigned 9 points per time, and the third place may be assigned 8 points per time. Furthermore, these scores may be arbitrarily weighted. For example, the display rank when the target information is displayed on the first page (e.g., first to third places) may be assigned relatively high scores (e.g., 10 points, 9 points, 8 points, etc., respectively), and the display rank when the target information is displayed on the second or subsequent pages (e.g., fourth to sixth places) may be assigned relatively low scores (e.g., 5 points, 4 points, 3 points, etc., respectively). That is, when the page (each page of the search result screen of the search engine) on which the target information is displayed changes depending on the display rank, the display rank scores of the target information displayed on later pages may be set discontinuously lower.

[0071] Furthermore, the evaluation information E may include total display rank score information regarding a total display rank score obtained by adding up the display rank scores according to the display ranks acquired by the display rank acquisition unit 12. In other words, the evaluation information E may assign points to the target information in the display rank as it is, without replacing the display rank with a display rank group, and may include information regarding the display rank scores before being added up to form the total display rank score. This allows the user to evaluate the target information based on the display rank score, which is more detailed information than the total display rank score (i.e., the score before the amount of information is reduced by being added up).

[0072] Furthermore, the display ranking group score may be calculated by machine learning using multivariate analysis based on, for example, the number of visitors to a website or the like that is the target information (hereinafter, this method is also referred to as the visitor number method). As an example, a multiple regression analysis may be performed using the actual number of visitors to the website or the like over a predetermined period (e.g., one month) as the objective variable and the aggregated values ​​of each display ranking group as the explanatory variables. The regression coefficient calculated in this way may be used as the score for each display ranking group.

[0073] In addition, the display ranking group scores may be calculated separately for each keyword group and then added together. For example, keyword patterns classified as the latent layer generally tend to use broad (or abstract) expressions, and therefore tend to have a large search volume. On the other hand, keyword patterns classified as the visible layer generally tend to use more specific expressions than those in the latent layer, and therefore tend to have a smaller search volume. Here, since the market volume (market size) of the latent layer is often larger than that of the visible layer, a higher ranking in search engines is expected to further increase the number of visitors to a website, etc. As the expected number of visitors (the amount of change in the number of visitors) differs depending on the keyword group, a display ranking score may be calculated for each keyword group when the above-mentioned visitor number method is executed.

[0074] Furthermore, other information, such as the number of reviews or citations, may be added to the total ranking score in addition to the rankings. This improves the accuracy of the index (index for understanding) for grasping the effectiveness of SEO, MEO, etc., by adding factors that affect rankings in SEO, MEO, etc.

[0075] As an effect of calculating the display ranking group score, for example, in a case where a company operates multiple stores, it becomes possible to check which store is relatively more effective. It also becomes possible to make a relative comparison with competing stores scattered in the same commercial area. [Explanation of symbols]

[0076] 1 Information generation device 10 Target information setting section 11 Keyword pattern registration section 12 Display rank acquisition part 13 Display rank group acquisition unit 14 Evaluation information generation unit C Computer P Information Generation Program

Claims

1. a target information setting unit that sets target information; a keyword pattern registration unit for registering a plurality of keyword patterns; a display ranking acquisition unit that acquires a plurality of display rankings, which are the rankings in which the target information is displayed when a search is performed by a search engine using each of the plurality of keyword patterns; an evaluation information generation unit that generates evaluation information for evaluating the target information based on the plurality of display orders acquired by the display order acquisition unit for each of the plurality of keyword patterns, The keyword pattern is classified into one of a plurality of keyword groups; the display order acquisition unit acquires, for each of the keyword groups, a plurality of display orders which are orders in which the target information will be displayed when a search is performed by the search engine using each of the plurality of keyword patterns classified into the keyword group; The evaluation information generation unit generates, for each keyword group, the evaluation information for evaluating the target information based on the multiple display orders acquired by the display order acquisition unit for each of the multiple keyword patterns classified into the keyword group.

2. a display order group acquisition unit that acquires, from among a plurality of display order groups, the display order group to which the display order acquired by the display order acquisition unit belongs; 2. The information generating device according to claim 1, wherein the evaluation information includes visualization information that visualizes and displays a number of display ranks corresponding to the number of display ranks acquired by the display rank acquisition unit during a predetermined period that belong to each of a plurality of display rank groups.

3. the visualization information includes display rank number graphing information that visualizes and displays the transition of the display rank number in a graph, 3. The information generating device of claim 2, wherein the graph has a first axis indicating a period represented by at least one of years, months, days, and hours, and a second axis indicating the number of display rankings according to the period indicated by the first axis.

4. The information generating device according to claim 3 , wherein the visualization information includes digitization information that visualizes and displays the display ranking numbers in the graph using numbers.

5. 5. The information generating device according to claim 3, wherein the visualization information includes non-display number graphing information that visualizes and displays in the graph the non-display number, which is the number of pieces of target information that are hidden when a search is performed by the search engine using each of the plurality of keyword patterns.

6. 6. The information generating device according to claim 1, wherein the evaluation information includes display ranking score information regarding a display ranking score according to the display ranking acquired by the display ranking acquisition unit.

7. The information generating device according to any one of claims 1 to 6, wherein the evaluation information includes total display ranking score information regarding a total display ranking score obtained by adding up the display ranking scores according to the display ranking acquired by the display ranking acquisition unit.

8. a display order group acquisition unit that acquires, from among a plurality of display order groups, the display order group to which the display order acquired by the display order acquisition unit belongs; An information generating device described in any one of claims 1 to 7, wherein the evaluation information includes display ranking group score information regarding a display ranking group score corresponding to the display ranking group to which the display ranking acquired by the display ranking acquisition unit during a predetermined period belongs.

9. a display order group acquisition unit that acquires, from among a plurality of display order groups, the display order group to which the display order acquired by the display order acquisition unit belongs; The information generating device described in any one of claims 1 to 8, wherein the evaluation information includes total display ranking group score information regarding a total display ranking group score obtained by adding up display ranking group scores according to the display ranking group to which the display ranking acquired by the display ranking acquisition unit during a predetermined period belongs.

10. Computer, a target information setting unit that sets target information; a keyword pattern registration unit for registering a plurality of keyword patterns; a display ranking acquisition unit that acquires a plurality of display rankings, which are the rankings in which the target information is displayed when a search is performed by a search engine using each of the plurality of keyword patterns; an evaluation information generating unit that generates evaluation information for evaluating the target information based on the plurality of display orders acquired by the display order acquiring unit for each of the plurality of keyword patterns; The keyword pattern is classified into one of a plurality of keyword groups; the display order acquisition unit acquires, for each of the keyword groups, a plurality of display orders which are orders in which the target information will be displayed when a search is performed by the search engine using each of the plurality of keyword patterns classified into the keyword group; The evaluation information generation unit generates, for each keyword group, the evaluation information for evaluating the target information based on the multiple display orders acquired by the display order acquisition unit for each of the multiple keyword patterns classified into the keyword group.

Citation Information

Patent Citations

  • Evaluation method, evaluation device, and program

    JP2015005304A

  • Information processing device, information processing method and program

    JP2019109777A

  • Content creation support device, content creation support method and program, and content management system

    JP2019200663A

  • Information processing apparatus

    JP2020042637A

  • Method, apparatus and program for evaluating content value

    WO2008120678A1