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Google patents AI system that tailors product ads to specific audiences

Patent drawing
Patent drawing from the official filing.

Google describes a method where multiple specialized AI agents work together to create marketing content. One agent guesses audience traits, others build a setting and scenario, and a final agent combines these into a brief that guides a generative AI model to produce the media.

Why it mattersThis approach could help advertisers create more relevant content for different customer groups without manually writing every ad brief.

In the filing’s own words

A method of automatically generating media content associated with a product and an audience includes generating a creative brief using a set of trained artificial intelligence (AI) agents. Generating the creative brief includes using an audience inference AI agent to infer one or more characteristics of the audience based on at least one audience parameter, using a setting AI agent to generate a setting descriptor based on at least one product parameter and the inferred audience characteristic(s), using a scenario agent to generate a scenario descriptor based on at least one product parameter and the inferred audience characteristic(s), and using a creative brief AI agent to generate the creative brief based on the setting descriptor and the scenario descriptor. The method further includes generating a prompt based on the creative brief, and applying the prompt to a generative AI model to generate the media content.

What exactly they claim (claim 1)

1. A method of automatically generating media content associated with a product and an audience, the method comprising: obtaining, by one or more processors, a parameter set comprising (i) one or more product parameters associated with the product and (ii) one or more audience parameters associated with the audience; generating, by the one or more processors, a creative brief for the media content, at least in part by processing the parameter set using a set of trained artificial intelligence (AI) agents, wherein processing the parameter set using the set of trained AI agents includes: inferring, by an audience inference AI agent and based on at least one of the one or more audience parameters, one or more characteristics of the audience; generating, by a setting AI agent and based on (i) at least one of the one or more product parameters and (ii) the inferred one or more characteristics of the audience, a setting descriptor; generating, by a scenario AI agent and based on (i) at least one of the one or more product parameters and (ii) the inferred one or more characteristics of the audience, a scenario descriptor; and generating, by a creative brief AI agent and based on the setting descriptor and the scenario descriptor, the creative brief; generating, by the one or more processors, a prompt based on the creative brief; and generating, by the one or more processors, the media content at least in part by applying the prompt to a generative AI model.

Facts

Company
Google (GOOGLE LLC)
Official title
AI AGENT ARCHITECTURE FOR AUDIENCE-SPECIFIC MEDIA CONTENT GENERATION
Publication number
US20260311384A1
Application number
19636639
Filed
Apr 1, 2026
Published
Oct 8, 2026
Inventors
5
Claims
20

Classified under

G06T 11/00 Physics & computingG06N 5/04 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.