Automated Landing Page Keyword Analysis for Search Ranking

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Solution Overview

Problem

Existing solutions for improving search engine ranking of landing pages rely on generic keyword pools, which often select irrelevant keywords, leading to ineffective competition against higher-ranked third-party entities, as they do not consider keyword importance in specific contexts.

Innovation Solution

The method involves automated analysis of third-party landing pages to identify semantically related secondary keywords, which are then assessed for potential inclusion in the targeted landing page to enhance its search engine ranking, using tools like the search engine optimizer that extracts and evaluates keywords based on their presence in higher-ranked competitor pages.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If generic keyword pools are used for keyword selection, then the process is simple and fast, but the keywords selected are often irrelevant and ineffective for competition against higher-ranked third-party entities

Engineering Contradiction:

Improvekeyword selection efficiencyVSAvoidkeyword relevance accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system performs automated analysis of third-party landing pages to identify semantically related secondary keywords, then assesses whether inclusion of these keywords will increase ranking. This feedback loop uses actual competitor data to refine keyword selection, moving from generic pools to contextually relevant keywords based on competitive landscape analysis.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system changes the parameter of keyword selection from using generic keyword pools to using semantically related secondary keywords extracted from competitor analysis. This parameter change transforms the keyword selection process from a static, generic approach to a dynamic, context-aware approach that considers semantic relationships and competitive positioning.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If automated analysis of third-party landing pages is performed to identify semantically related secondary keywords, then keyword relevance and ranking potential improve, but the system complexity and computational resources required increase

Engineering Contradiction:

Improvekeyword relevance accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs self-service automated analysis of third-party landing pages, extracting semantically related secondary keywords without requiring manual intervention. The system autonomously assesses whether inclusion of these keywords will increase ranking and implements the optimization, reducing the need for external analytical tools or manual research processes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The search engine optimizer performs multiple functions: it extracts semantically related secondary keywords from competitor pages, assesses their ranking potential, and determines inclusion strategies. This multi-functional approach consolidates keyword research, competitor analysis, and ranking optimization into a single unified system, reducing overall system complexity despite the advanced capabilities required.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Reliability

If semantically related secondary keywords are identified and assessed for inclusion, then the targeted landing page ranking increases, but the time and computational resources required for analysis increase

Engineering Contradiction:

Improveranking improvement effectivenessVSAvoidanalysis time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary automated analysis of third-party landing pages to identify semantically related secondary keywords before the actual ranking optimization is implemented. By pre-extracting and assessing keywords from competitor pages, the system prepares the keyword strategy in advance, reducing the time required for actual implementation and enabling faster ranking improvements.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11507608B2System for improving search engine ranking of a landing page using automated analysis of landing pages of third-party entities

Publication Date: 2022.11.22 DELL PROD LP

AI summary

A method, system and computer-usable medium are disclosed for improving search engine ranking of a landing page using automated analysis of landing pages of third-party entities. Certain embodiments include receiving, at a user interface, a primary keyword associated with a targeted landing page of a primary entity; transmitting the primary keyword to a search engine; and receiving a search engine results page from the search engine. The search engine results page may be used to identify landing pages of third-party entities having a higher rank than the targeted landing page. Secondary keywords occurring on the third-party landing pages may be identified and analyzed to determine whether inclusion of the secondary keyword in the targeted landing page will increase ranking of the targeted landing page in the search engine.