Unified Firmographic and Web Content Search System
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Solution Overview
Problem
Current methods fail to provide a unified view of combined structured firmographic data and unstructured web content, making it difficult to identify companies with specific business objectives, such as those offering specific services and meeting revenue and location criteria, as existing search engines and databases do not effectively merge these sources of information.
Innovation Solution
A system and method that involves selecting a broad segment of companies using firmographic data, crawling and indexing their websites, merging this data with firmographic information, and using a user-friendly interface combined with predictive models to identify companies with specific business objectives, including a search processor, web crawling processor, data join processor, and machine learning processor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional search engines are used to search for companies with specific business objectives, then vast amounts of information can be retrieved, but the search results do not provide a unified view of combined structured and unstructured data, making it difficult to identify companies meeting multiple criteria
Solution Approach 1:
The patent merges structured firmographic data from databases with unstructured web content from company websites into a unified data structure. The system combines company profile information (address, industry, financial metrics) with website content (products, services, business objectives) to create an integrated view that enables simultaneous filtering by multiple criteria including location, revenue range, and specific service offerings.
2Measurement precision
If firmographic databases are queried to locate companies meeting structured criteria, then companies meeting location and revenue requirements can be identified, but the database will not return companies that actually offer specific services mentioned in the query
Solution Approach 1:
The patent introduces web content as an intermediary layer between the firmographic database and the final search results. The system crawls and indexes company websites to extract service offering information, then joins this unstructured data with structured firmographic data. This intermediary enables the system to filter companies based on both their firmographic characteristics and their actual service offerings, resolving the limitation of traditional databases that cannot access website content.
3Adaptability or versatility
If web search engines are used to find companies offering specific services, then relevant web content can be found, but the search does not effectively filter by firmographic criteria such as location, revenue range, and industry classification
Solution Approach 1:
The patent creates a universal search system that performs multiple functions simultaneously: it searches for service-related keywords in web content, filters results by firmographic criteria (location, revenue, industry), and ranks companies based on relevance to the query. The system handles both unstructured web content search and structured database querying within a single integrated platform, enabling flexible multi-criteria filtering that traditional search engines cannot provide.
Data Source
AI summary
A method for identifying companies with specific business objectives that includes using existing sources of company firmographic data to identify a broad set of companies and associated websites, crawling the websites associated with the identified companies and indexing web site content for each of the identified companies with the specific business objective to realize indexed web content. The method further includes joining the company firmographic data with the indexed web content using a business objective common identifier to generate a store of joined structured firmographic data and indexed web content and presenting a display image representation of the store of joined structured firmographic data and indexed web content for user review. The display image further receives user input to score each of said companies identified therein, and using a search interface, querying the store of scored, joined structured firmographic data and indexed web content. The method further includes augmenting the search interface, or search results from a query, with predictive, machine-leaning processes that allow rapid identification of companies possibly missed in the query.


