Patent Application for Contextually Aware Supplemental Content Generation

ChangeBridge: Patent Apps - Business Methods (G06Q)

Detected March 27th, 2026

Summary

The USPTO has published a patent application (US20260087527A1) detailing systems and methods for automatically generating and placing contextually aware supplemental content. The application describes using AI models to predict user mindset and select/generate content in real-time.

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What changed

This document is a published patent application from the USPTO, specifically application US20260087527A1, titled "SYSTEMS AND METHODS FOR AUTOMATICALLY GENERATING AND PLACING SEMANTICALLY AND CONTEXTUALLY AWARE SUPPLEMENTAL CONTENT." The application outlines a method that utilizes artificial intelligence, including user mindset prediction and supplemental source selection language models, to generate and place supplemental content in real-time that is contextually consistent with primary content being reviewed by a user.

As this is a patent application, it does not impose direct regulatory obligations or compliance deadlines on entities. However, it signals potential future technological developments in content delivery and user engagement that companies, particularly in the technology and advertising sectors, may wish to monitor for competitive or strategic reasons. The filing date was September 25, 2025.

Source document (simplified)

← USPTO Patent Applications

SYSTEMS AND METHODS FOR AUTOMATICALLY GENERATING AND PLACING SEMANTICALLY AND CONTEXTUALLY AWARE SUPPLEMENTAL CONTENT

Application US20260087527A1 Kind: A1 Mar 26, 2026

Inventors

William Gross, Tarek Najm, Munirathnam Srikanth, Ian Ferreira, Nishant Dani

Abstract

A method includes: providing identification information for a provider of supplemental content; retrieving information on the provider of supplemental content from the internet using the identification information to generate a content source profile; retrieving a user profile about a 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 primary content presented to the user; selecting, by a supplemental source selection language model configured to select supplemental sources, the provider of supplemental content from a plurality of supplemental sources, based on the primary content; and generating in real-time, with a supplemental content generation language model configured to generate supplemental content, one or more pieces of supplemental content for the provider of supplemental content at one or more locations that are contextually consistent with the primary content.