Systems and methods for automatically generating semantically and contextually aware advertising including selecting advertiser based on content match

A method for using a language model to generate advertisements in real time and choose one for placement in primary content presented to a user, comprising:

• providing, to a computer system, identification information for a plurality of advertisers;
• retrieving information on the advertisers from the internet using the identification information of the advertisers to generate a plurality of advertiser profiles;
• for each of the plurality of advertisers, providing a prompt to a bidding agent language model for the advertiser to provide a bidding strategy;
• retrieving a user profile about the user;
• computing, with a user mindset prediction language model configured to determine a user's mindset while reviewing content, the user's mindset based on the primary content presented to the user;
• and
• performing, by the computer system in real time the following steps:
• determining, with a contextual placement language model, one or more locations in the primary content that contextually fit the user's mindset;
• generating, with the language model, a contextually consistent advertisement for each of the plurality of advertisers at the one or more determined locations based on the advertiser profiles;
• ranking, with the language model, the plurality of advertisements by their conversion probability at least partially based on the contextual fit of the user's mindset;
• determining, with the language model, at least one highest ranking advertisement that matches the bidding strategy of an advertiser;
• and
• generating, with the language model, within the primary content the highest-ranking advertisement at the one or more determined locations.