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.
Track AI visibility, surface insights via Signals, and create content that gets cited. Built for agencies, B2B SaaS, and e-commerce brands.
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