Automated Query Generation for SEO Adaptability

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Solution Overview

Problem

Current search engine optimization (SEO) approaches rely on proprietary, non-automated methods that require paid consulting and cannot adapt to new content, competitive changes, or search engine algorithm updates, limiting their effectiveness in improving web site visibility and traffic.

Innovation Solution

Query generation for searchable content, which involves receiving input content and generating a set of ranked queries using automated processes that can adapt to new content, competitive landscapes, and search engine algorithm changes, providing an inverse search engine solution for SEO and SEM applications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If proprietary SEO consulting services are used, then web site optimization can be achieved, but the cost increases and adaptability to changes is reduced

Engineering Contradiction:

ImproveSEO optimization effectivenessVSAvoidAdaptability to new content and algorithm changes

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

Instead of having search engines rank web sites based on proprietary algorithms, this invention inverts the process by having web sites generate their own search queries and rank themselves against competitors. The system creates an inverse search engine where the web site operator inputs their content and receives ranked queries that show how their content performs relative to competitors, eliminating dependency on proprietary SEO consulting while maintaining adaptability.

Inventive Principle:

Principle #13The other way round (Inversion)

Solution Approach 2:

The invention enables web sites to perform their own SEO optimization through automated query generation and ranking. The system automatically generates search queries based on the web site's content, ranks the web site against competitors for those queries, and provides optimization recommendations without requiring external consulting services. This self-service approach reduces costs while improving adaptability to content changes and algorithm updates.

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If automated query generation is implemented, then adaptability to changes improves, but the complexity of the system increases

Engineering Contradiction:

ImproveAdaptability to algorithm updatesVSAvoidSystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The invention creates a universal query generation system that can handle multiple functions: generating search queries, ranking web sites, analyzing competitors, and providing optimization recommendations. By making the system multi-functional, it achieves high adaptability to algorithm changes and content updates without requiring separate specialized tools for each SEO task, thereby managing complexity while maintaining versatility.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system adapts to algorithm changes by dynamically adjusting parameters such as query generation rules, ranking criteria, and competitor analysis methods. Instead of redesigning the entire system when algorithms change, the invention modifies specific parameters and weights within the existing framework, allowing adaptability with minimal increase in overall system complexity.

Inventive Principle:

Principle #35Parameter changes

3Ease of manufacture

If manual SEO methods are used, then implementation is simple, but productivity and scalability are limited

Engineering Contradiction:

ImproveEase of implementationVSAvoidSEO optimization productivity

Core Design Contradiction:

Ease of manufactureVSProductivity

Solution Approach 1:

The invention performs preliminary actions by automatically generating search queries and ranking web sites before manual intervention is needed. The system pre-processes content, generates relevant queries, and establishes baseline rankings, which then guides subsequent optimization efforts. This preliminary automated action significantly increases productivity while keeping the implementation process simple for the user.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The invention replaces manual mechanical SEO processes with automated computational systems. Instead of manually researching keywords, analyzing competitors, and adjusting content, the system automatically generates queries, performs rankings, and provides recommendations through algorithmic processing. This substitution dramatically increases productivity while maintaining ease of use through simple input interfaces.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS9785713B2Query generation for searchable content

Publication Date: 2017.10.10 BLOOMREACH

AI summary

Query generation for searchable content is provided. In some embodiments, query generation for searchable content includes receiving searchable content (e.g., the searchable content can include a unique identifier for the searchable content, such as a Uniform Resource Locator (URL) for a web site, and the web site can include one or more web pages); and generating a set of queries, the set of queries including one or more queries (e.g., the set of queries can include ranked queries) that are relevant to the searchable content.