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.