Abstract
Artificial intelligence (AI) models can generate inaccurate or outdated representations of brands by synthesizing information from inconsistent public web sources. A system may include a centralized, authenticated repository where entities can manage a verified, machine-readable version of their brand identity. The system can utilize a structured data schema to capture attributes such as brand voice, core values, and frequently asked questions. This structured and verified information may then be programmatically distributed to consuming AI systems through an application programming interface, which can be integrated into processes such as retrieval-augmented generation. This approach may provide a data source to help improve the accuracy, currency, and brand-alignment of AI-generated content related to an entity, its products, or its services by reducing reliance on unvetted public data.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Pieracci, Caroline, "Centralized Repository of Verified Brand Data for Consumption by AI Systems", Technical Disclosure Commons, (November 19, 2025)
https://www.tdcommons.org/dpubs_series/8896