Online Reference Indexing System for SEO Visibility Analysis
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Solution Overview
Problem
Current methods for search engine optimization and online advertising lack efficient tools for collecting and scoring online references across various internet channels, making it difficult to assess the visibility and effectiveness of online advertisements and organic search results.
Innovation Solution
A system and method for indexing online references of an entity, involving a deep index engine that assembles parameters for crawling the internet, worker nodes that perform searches and evaluate signals, and coordinators that manage job queues, to construct a reverse index and calculate search engine optimization scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If comprehensive crawling of multiple internet channels is performed to collect online references, then the quantity and quality of collected reference data increases, but the time required for data collection and processing increases
Solution Approach 1:
The system segments the internet crawling task by dividing it into multiple channels (search engines, social media, forums, etc.) and processing them through separate worker nodes. This allows parallel processing of different internet channels simultaneously, reducing total processing time while maintaining comprehensive data collection across all channels.
Solution Approach 2:
The system performs preliminary actions by pre-defining the set of internet channels to crawl and pre-establishing the scoring criteria for evaluating references. This preparation phase allows the actual crawling and processing to proceed more efficiently without repeated decision-making during execution.
2Adaptability or versatility
If multiple internet channels are searched for online references, then the comprehensiveness of reference collection improves, but the complexity of the crawling and evaluation system increases
Solution Approach 1:
The system employs a universal crawling framework that can handle multiple internet channels through a common architecture. The same core processing logic evaluates references from diverse sources (search engines, social media, forums) using unified scoring criteria, reducing the need for separate specialized systems for each channel type.
Solution Approach 2:
The system introduces intermediary components including a job queue manager that coordinates between the deep index engine and worker nodes, and a standardized reference evaluation module that acts as a mediator between diverse data sources and the final scoring output. These intermediaries simplify the overall system architecture by providing standardized interfaces.
3Measurement precision
If deep indexing of online references is performed to evaluate search engine optimization scores, then the precision of SEO scoring improves, but the computational resources and time required increase
Solution Approach 1:
The system applies partial action by selectively crawling and evaluating only the most relevant internet channels and reference types for each SEO analysis task. Rather than processing every possible online reference uniformly, the system prioritizes channels and references that are most likely to impact SEO scores, reducing computational resource consumption while maintaining sufficient scoring precision.
Data Source
AI summary
One example embodiment includes a method for indexing online references of an entity. The method includes identifying one or more channels of the Internet to be searched for references to an entity and identifying one or more signals to be evaluated within each of the one or more channels. The method also includes crawling the Internet for online references to the entity, wherein crawling the Internet comprises searching the one or more channels of the Internet for references to the entity and evaluating the one or more signals. The method further includes constructing a reverse index of the references, wherein the reverse index is based on each channel in which a reference is found and the one or more signals evaluated for the reference.