Artificial intelligence engine for generating semantic directions for websites for automated entity targeting to mapped identities

A method being performed by a computer system that comprises one or more processors and a non-transitory computer-readable storage medium encoded with instructions executable by at least one of the processors and operatively coupled to at least one of the processors, the method comprising:

• analyzing a set of web data traffic content for a website;
• mapping the web data traffic content to a business entity identifier to identify a business entity visiting the website;
• mapping the web data traffic content to personnel data for the business entity associated with the business entity identifier to identify business personnel associated with the business entity visiting the website;
• generating a word database comprising words from the webpage at the webpage address for each webpage address of the website accessed by the business entity or the business personnel associated with the business entity identifier;
• analyzing the word database with a machine learning Language Processing classifier comprising a vector comparator comprising a word vector classifier;
• generating a semantic direction value for the word database;
• and
• identifying the business entity intent based on the semantic direction value, wherein the Language Processing classifier is configured to employ a language-model-based classifier module to generate the word embeddings by mapping each word to a vector to produce a set of contextual information that is related to the word being mapped.