SEO Query Classification for Automated Search Result Optimization

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Solution Overview

Problem

Conventional SEO techniques require manual selection of keywords, which is time-consuming and inefficient.

Innovation Solution

An SEO information acquisition system that automatically acquires queries, related classifications, and SEO information for search result pages based on these classifications, eliminating the need for manual input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual keyword selection is used for SEO measures, then SEO effectiveness can be achieved, but time and effort are excessively consumed

Engineering Contradiction:

ImproveSEO effectivenessVSAvoidtime and effort

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables self-service by automatically acquiring queries, related classifications, and SEO information without human intervention. The processor autonomously performs data collection, analysis, and keyword generation, allowing the SEO system to serve itself rather than requiring manual operator input for each SEO task.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual process of keyword selection with an automated information processing system. The processor substitutes human operators by systematically acquiring search data, analyzing classifications, and generating SEO keywords through computational methods rather than human judgment and manual input.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated SEO information acquisition is implemented, then productivity is improved, but system complexity increases

Engineering Contradiction:

ImproveSEO efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The processor is designed to perform multiple functions within a single integrated system: acquiring queries from search logs, retrieving related classifications from databases, analyzing data relationships, and generating SEO information. This multi-functional approach consolidates what could be separate complex systems into one unified processor that handles the entire SEO information acquisition workflow.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses an intermediary database structure that stores pre-organized classification data and search logs. This intermediary layer mediates between the raw search data and the SEO information generation process, allowing the processor to efficiently access and analyze data without direct complex querying, thus reducing computational complexity while maintaining productivity.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250371084A1SEO information acquisition system, SEO information acquisition method, and information storage medium

Publication Date: 2025.12.04 RAKUTEN GROUP INC

AI summary

An SEO information acquisition system comprising at least one processor configured to: acquire a query used for a search in a predetermined service; acquire a related classification, the related classification being a classification used for a search in the predetermined service and being the classification related to the query; and acquire SEO information on SEO (Search Engine Optimization) of a search result page corresponding to the query in the predetermined service, based on the related classification.