Grounding
Grounding is how an AI model anchors its answer in real sources live web results or a knowledge base instead of relying only on what it memorised during training.
What is grounding?
Grounding is the step where a large language model retrieves external information usually live web results or a curated knowledge base and uses it to construct its answer, rather than answering purely from its training data.
It is what lets an AI assistant answer questions about recent events, current pricing or fast-moving categories, and what produces the sources you see cited in the response.
Grounded vs. ungrounded answers
An ungrounded answer is generated from the model’s internal parameters alone fast, but prone to going stale or hallucinating. A grounded answer is checked against external sources, making it fresher and more verifiable.
For brands this distinction is decisive: when an answer is grounded, the sources it pulls from are exactly the content you can influence to change what it says.
Why grounding matters for GEO
Because grounded answers are built on retrievable sources, influencing those sources is the heart of Generative Engine Optimization. Knowing what a model grounds on tells you precisely where to focus to earn citations and grow your AI Visibility.
How Prominence AI uses grounding data
Prominence AI captures the sources models ground on in your category through Grounding Source Prominence, turning a hidden process into a map of the domains and pages you need to influence.
Citations
The sources an AI model links to or references to support the answer it generates.
Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation: grounding a model’s answer in sources fetched at query time rather than memory alone.
Training Data vs Live Retrieval
The difference between what an AI model memorized during training and what it retrieves live at answer time.
Grounding Source Prominence (GSP)
Grounding Source Prominence, or GSP, is a measure of which domains and URLs get cited when AI engines answer questions in your category.
LLM (Large Language Model)
The type of AI system, like GPT or Gemini, that generates the answers behind AI search.
Written by
Andreas Niessen
Co-Founder, Prominence AI
Andreas Niessen is Co-Founder of Prominence AI, the brand rank tracker for AI search engines. He works daily with how ChatGPT, Gemini, Perplexity and Copilot describe brands, and writes about Generative Engine Optimization (GEO), AI Search and brand visibility in the AI era.
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