US 12,346,384 B2
Systems and methods for automatically generating a website and suggesting a related business entity type using generative artificial intelligence
Anthos Chrysanthou, Chicago, IL (US)
Assigned to Sav.com, LLC, Chicago, IL (US)
Filed by Sav.com, LLC, Chicago, IL (US)
Filed on May 3, 2024, as Appl. No. 18/654,584.
Application 18/654,584 is a continuation in part of application No. 17/994,514, filed on Nov. 28, 2022, granted, now 12,008,064.
Prior Publication US 2024/0281475 A1, Aug. 22, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 7/00 (2006.01); G06F 16/44 (2019.01); G06F 16/93 (2019.01)
CPC G06F 16/94 (2019.01) [G06F 16/44 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A system for automatically generating a website and suggesting a related business entity type, comprising:
a server including one or more processors;
a memory coupled to the server, the memory storing instructions that, when executed by the one or more processors, cause the system to automatically generate the website using generative artificial intelligence by:
receiving a description of a business or an organization from a user computing device by an intake engine coupled to the server, wherein the description is limited to no more than 200 characters;
analyzing the description by a natural language processing engine coupled to the server to extract a plurality of terms from the description;
for each of the plurality of terms, determining if the term is stored in a corpus coupled to the memory, wherein if the term is stored in the corpus, then the term is placed in a key term list;
searching the Internet by an Internet scanning engine coupled to the server to identify websites that include at least 75% of the terms in the key term list, wherein the Internet scanning engine identifies websites by searching for the terms in the key term list in a source code of the websites;
ranking the identified websites using a traffic data algorithm, wherein websites having higher traffic are assigned a higher rank;
automatically generating the website by a template generation engine coupled to the server, the website generated based on a weighted analysis of the ranked identified websites;
inserting multimedia related to content on the ranked identified websites into the website by a content generation engine coupled to the server, wherein the multimedia includes text;
suggesting to the user computing device a business entity type related to the multimedia by a large language model (“LLM”) engine coupled to the server;
displaying the website on the user computing device; and
receiving feedback for the website by the content generation engine from the user computing device.