Automated Keyword Clustering for Website Content Strategy

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Solution Overview

Problem

Current search engine optimization (SEO) techniques are limited in their ability to react to rapid changes in internet content and keyword lists, as they primarily operate on exact search terms and do not account for the specific needs of individual websites, making it difficult for web site owners to keep up with daily changes and optimize their content strategies effectively.

Innovation Solution

A method and system that automates the process of defining a web site development strategy by using a server to gather and process keywords from search analytics providers, forming hierarchical clusters of analogous keywords, and recommending web page content based on search request data, allowing for timely and efficient content optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual preparation of content strategy is used, then customization to specific website needs is possible, but the process is time-consuming and cannot keep up with rapid changes in internet content and keywords

Engineering Contradiction:

Improveability to adapt to changing keywordsVSAvoidtime to prepare content strategy

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system enables self-service by automatically gathering keywords from search analytics providers, clustering them using algorithms, and generating content strategy recommendations without requiring manual human intervention. The server autonomously performs data collection, processing, and analysis tasks that previously required human effort.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual process of keyword research and content strategy preparation with an automated computational system. The server uses software algorithms to cluster keywords and generate recommendations, substituting human manual work with automated mechanical processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated keyword gathering is used, then speed and efficiency improve, but the system cannot account for specific website needs and professional judgment

Engineering Contradiction:

Improvespeed of content strategy preparationVSAvoidcustomization to website needs

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system applies local quality by allowing each website owner to input their specific main keyword that reflects their website's unique focus and needs. The automated clustering process then generates results tailored to that specific keyword, ensuring customization while maintaining automation. Each website receives a customized content strategy based on its specific requirements.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system performs preliminary action by automatically gathering and clustering keywords before the website owner needs to make decisions. The server pre-processes the data, organizes it into meaningful clusters, and presents ready-to-use recommendations, eliminating the need for subsequent manual processing and enabling immediate action.

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If extensive manual processing of keyword data is performed, then accuracy and relevance improve, but the complexity and time required become unsustainable

Engineering Contradiction:

Improveaccuracy of keyword selectionVSAvoidcomplexity of processing system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the complex task of content strategy preparation into distinct automated steps: keyword gathering from search analytics providers, clustering algorithms that group related keywords, and recommendation generation. This segmentation allows each step to be handled by specialized automated processes, maintaining accuracy while reducing overall system complexity and manual intervention requirements.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS10909210B2Method and system for defining a web site development strategy

Publication Date: 2021.02.02 OVH

AI summary

A method and a server for defining a web site development strategy are disclosed. A query to a search analytics provider carries a main keyword defined for the web site. A response carries a list secondary keywords and a number of past search requests for each secondary keyword. Secondary queries are sent for each secondary keyword of the list and secondary responses carry additional lists of secondary keywords. A keyword dataset having an entry for each secondary keyword associated with its corresponding number of past search requests is stored. Hierarchical clusters are formed in the keyword dataset, each hierarchical cluster comprising a theme representing a group of analogous secondary keywords and a sum of past search requests for the group. A list of themes is output as a recommendation for populating the web site by creating a web page corresponding to each theme.