Website Quality Scoring via Segmented SEO and Accessibility Analysis
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Solution Overview
Problem
Websites face challenges in assessing quality due to dynamic content, large volumes of content, and the difficulty in evaluating factors like SEO, accessibility, and user experience, which affects user experience and search engine rankings.
Innovation Solution
A system and method for determining website quality by analyzing SEO, accessibility, and quality assurance scores using automated analysis, providing real-time feedback, and generating comprehensive scores that can be used to identify areas for improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated analysis is used to assess website quality, then assessment efficiency is improved, but assessment precision may deteriorate due to the complexity of evaluating SEO, accessibility, and user experience factors
Solution Approach 1:
The patent divides website quality assessment into multiple independent sub-scores: SEO score, accessibility score, and quality assurance score. Each sub-score evaluates specific aspects of website quality separately, allowing for more precise measurement of individual factors while maintaining overall assessment efficiency through automated processing of each segment.
Solution Approach 2:
The patent introduces a computer system as an intermediary that automatically analyzes website content and generates quality scores. This intermediary performs the complex evaluation of SEO, accessibility, and quality assurance factors, bridging the gap between automated efficiency and human-level precision by systematically processing multiple quality dimensions.
2Measurement precision
If comprehensive quality assessment covering SEO, accessibility, and user experience is implemented, then quality measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the comprehensive quality assessment into distinct modular components: SEO evaluation module, accessibility evaluation module, and quality assurance evaluation module. Each module independently assesses its specific aspect and contributes to the overall quality score, reducing system complexity through modular design while maintaining comprehensive measurement precision.
Solution Approach 2:
The patent creates a multi-functional computer system that simultaneously performs SEO analysis, accessibility evaluation, and quality assurance checking. This universal system handles multiple quality assessment functions through integrated automated analysis, reducing the need for separate specialized tools while maintaining comprehensive measurement capabilities.
3Productivity
If real-time feedback is provided for website quality assessment, then productivity is improved, but use of energy increases due to continuous monitoring and analysis
Solution Approach 1:
The patent implements periodic quality assessment where the computer system analyzes website content at scheduled intervals or triggered by specific events (such as content updates). This periodic action provides timely feedback to maintain productivity while reducing continuous computational energy consumption compared to constant real-time monitoring.
Solution Approach 2:
The patent enables the website quality assessment system to automatically monitor and re-evaluate its own performance metrics. The system self-adjusts its analysis frequency and depth based on website changes, providing efficient feedback while optimizing energy usage by avoiding unnecessary re-assessments of stable content.
Data Source
AI summary
In one implementation, a method for providing a user with an assessment of website quality includes receiving, at a computer system, identification of a website; retrieving, by the computer system, content that comprises the website; and automatically analyzing, by the computer system, the content. The method can further include determining, by the computer system, (i) a search engine optimization (SEO) sub-score for the website, (ii) an accessibility sub-score for the website, and (iii) a quality assurance score for the website based on the analysis of the content. The method can additionally include determining, by the computer system, a quality score for the website based on a combination of the SEO sub-score, the accessibility sub-score, and the quality assurance sub-score; and transmitting, by the computer system, the quality score to a client computing device for presentation in a user interface.