Grounding is the process of anchoring an AI model's output to real, verifiable sources, such as retrieved documents, structured data, or a knowledge base, rather than relying solely on the model's internal parameters. Well-grounded answers are more accurate and are more likely to include citations. For brands, providing clear, factual, machine-readable content increases the odds of being used as a grounding source.