LLM Visibility
A measure of how present and cited a brand is in the answers large language models give — the core thing AEO and GEO try to grow.
What is LLM visibility?
LLM visibility measures how present and cited a brand is in the answers large language models give. SkuLift operationalises it through share of voice and the four-level SOV pyramid.
LLM visibility is the new shelf space: if a brand is not in the answer, it does not exist at the moment of decision.
As buyers shift from browsing links to reading AI answers, the question becomes whether your brand appears in those answers and whether it is cited as a source. LLM visibility names this outcome — presence and citation inside ChatGPT, Claude, Gemini and Perplexity replies — the AEO and GEO target.
Visibility is not one number. A brand can be mentioned but not cited, named late rather than first, or described with weak sentiment. Treating it as a single metric hides where the real gaps are, which is why a layered measurement is needed.
SkuLift operationalises LLM visibility through share of voice and the four-level SOV pyramid — presence, volume, quality and weak signals — measured across engines so a brand can see exactly where it is winning or losing visibility and act on it.