SOV (Share of Voice)
SkuLift’s core measurement metric — multi-engine and multi-level.
What is Share of Voice (SOV)?
Share of Voice (SOV) is SkuLift’s core measurement metric. It is multi-engine — ChatGPT, Claude, Gemini, Perplexity — and multi-level, structured as a four-level pyramid: Presence, Volume, Quality and Weak signals.
SOV answers one question: when buyers ask AI engines about your category, how present, how prominent and how favourably is your brand cited?
A single number cannot capture AI visibility, so SOV is decomposed into a pyramid. L1 Presence is a binary mention rate. L2 Volume counts mentions and shares of words. L3 Quality scores how prominently and authoritatively you are cited. L4 Weak signals track variance and drift on adjacent queries. Each level refines the one below it.
SOV is measured per engine because the four AI engines behave differently — a brand strong on Claude can be invisible on Gemini. Every query is sampled multiple times (N-sampling) to separate stable presence from noise, and the parametric answer is separated from the web-grounded one where the engine supports both.
Because SOV is consistent across the loop, it doubles as the before-and-after KPI for every lift. You measure, you act, you re-measure on the same pyramid — so you can attribute a citation gain to the specific AEO or GEO change that produced it.