Model Training Data

Definition

The large corpus of text an AI model learned from, which shapes what it knows and how it describes brands.

Training data is the body of web pages, books and other text a model absorbed during training, forming the parametric knowledge it draws on without retrieval. If your brand is well and accurately represented in that corpus, the model can describe you correctly even without browsing; if you are absent or misrepresented, it may omit or misstate you. Because training happens in periodic batches, being present in high-quality, widely referenced sources is a long-horizon investment in how future model versions understand your brand.