Patent Application: Context-Aware Advertising Generation

ChangeBridge: Patent Apps - Business Methods (G06Q)

Detected March 27th, 2026

Summary

The USPTO has published a patent application detailing systems and methods for automatically generating context-aware advertisements. The application, filed by William Gross et al., describes using language models to predict user mindset and match advertisements accordingly.

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What changed

This document is a patent application (US20260087526A1) for a system that generates context-aware advertisements. The proposed method involves using AI language models to predict a user's mindset based on content they are viewing, identify suitable ad placements within that content, generate tailored advertisements, and rank them by conversion probability. The application details the use of advertiser profiles, user profiles, and supplemental content generation models.

As this is a patent application, it does not impose immediate regulatory obligations. However, it signals potential future technological advancements in advertising and data utilization. Companies involved in digital advertising, ad technology, and AI development should monitor patent filings in this area as they may indicate emerging industry standards or competitive landscapes.

Source document (simplified)

← USPTO Patent Applications

SYSTEMS AND METHODS FOR AUTOMATICALLY GENERATING SEMANTICALLY AND CONTEXTUALLY AWARE ADVERTISING INCLUDING SELECTING ADVERTISER BASED ON CONTENT MATCH

Application US20260087526A1 Kind: A1 Mar 26, 2026

Inventors

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

Abstract

A method includes: retrieving information on advertisers using identification information to generate advertiser profiles; retrieving a user profile about a user; computing, with a user mindset prediction language model, the user's mindset based on primary content presented to the user; determining, with a contextual placement language model, one or more locations in the primary content that contextually fit the user's mindset, or the profile of the user; generating in real-time, with a supplemental content generation language model, contextually consistent advertisements for the advertisers at the one or more determined locations based on the advertiser profiles; ranking in real time, with a content ranking language model, the advertisements by their conversion probability at least partially based on the contextual fit of the user's mindset, or the profile of the user with the advertisement; and inserting the highest-ranking advertisement at the one or more determined locations within the primary content.