AI Visibility Glossary

LLM Citation

2026-07-11 · Definition · by Italo Campilii
Definition

An LLM citation is a reference an AI assistant attaches to part of its answer, crediting the source it drew a fact or quote from. These citations appear as linked footnotes or named sources in tools like Perplexity, Gemini, and AI Overviews, sending attribution back to the origin.

Citations are how modern assistants show their work. When a model grounds a claim in retrieved documents, it can surface the underlying URL, giving the source both credit and click potential. Earning these references is central to AI visibility, because a cited brand gains authority the moment its answer is trusted enough to name.

To win citations, content must be easy for a retrieval system to match to a query and easy for the model to quote with confidence. Acromatico focuses on precise, verifiable passages, strong entity signals, and freshness so that when an engine assembles an answer, your page is the one it credits.

Related terms

Questions people ask

Do LLM citations drive traffic?

They can. When an assistant links a cited source, curious users click through to verify or read more, producing referral visits. Even without a click, a named citation builds authority and brand recall, and it signals that your content is trusted enough to be quoted.

How do you earn more LLM citations?

Publish clear, factual, self-contained passages that retrieval systems can match to real questions, reinforce your entities across the web, and keep information current. Verifiable claims and clean structure make a model more confident quoting and attributing your page over a competitor's.

See if AI actually names your brand

Acromatico runs live AI-visibility audits across ChatGPT, Perplexity, Gemini, and Claude.

Get a free AI Visibility Audit →