Grounding
Also known as: Source grounding
Grounding is when an AI model bases its answer on retrieved, verifiable sources rather than its own memorized parameters. A grounded answer can point to where each claim came from. Grounding is what makes AI answers citable, and it is the mechanism that lets your content become part of the response.
Grounding is the difference between an AI answer that says “I recall that…” and one that says “according to this source…” A grounded answer is anchored to actual retrieved documents, so each claim can be traced back to where it came from. It is the property that makes AI answers verifiable, and it is precisely the mechanism by which your content can become part of an answer.
Why grounding is your way in
When a model answers purely from memory, it rarely credits anyone, and your brand has no clean path into the response. When the model grounds its answer in retrieved sources, it can name and link the pages it used. That is the moment a citation happens. So the more a given surface grounds its answers, like Perplexity or ChatGPT search, the more your retrievable, quotable content can earn a place in it.
Grounding, RAG, and you
Grounding is the outcome; retrieval-augmented generation is the technique that produces it. For your content to ground an answer, it has to be reachable by AI crawlers, clear enough to quote, and credible enough to trust. Grounding also tends to reduce fabricated claims, because the model reasons over real evidence rather than guessing. To see where your pages are already grounding answers, track which URLs engines cite for your prompts, covered in how to track citations and sources.
Frequently asked questions
How is grounding different from RAG?
RAG is the technique of retrieving documents to inform an answer. Grounding is the result: an answer actually anchored to those sources. RAG is the how; grounding is the property of the answer that RAG produces.
Why does grounding help my brand get cited?
A grounded answer ties claims to sources, so when the model uses your page as evidence it can name or link you. Ungrounded answers rely on memory and rarely credit anyone, which means no citation and no referral traffic.
Does grounding reduce AI hallucinations?
It helps. Anchoring an answer to retrieved sources gives the model real evidence instead of guesses, which reduces fabricated facts. It is not a complete fix, but grounded answers are generally more accurate and verifiable.
See where you stand in AI answers
Rankry tracks how ChatGPT, Gemini, Perplexity, Claude and Grok mention and recommend your brand, then tells you what to fix.
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