CPCS (Cross-Platform Consistency Score)
A cross-engine consistency score for a brand’s mentions and citations.
What is the Cross-Platform Consistency Score?
The Cross-Platform Consistency Score (CPCS) is a cross-engine consistency score: it measures how stable a brand’s mentions and citations are from one AI engine to another — ChatGPT versus Claude versus Gemini versus Perplexity.
CPCS turns "we’re great on ChatGPT but invisible on Gemini" from an anecdote into a measured gap.
Each AI engine has its own training data, retrieval stack and ranking behaviour, so the same brand can be cited heavily on one and ignored on another. CPCS compares a brand’s SOV signals across the four engines and scores how consistent they are. A high CPCS means even visibility everywhere; a low CPCS means you are leaning on a single engine.
Consistency matters because buyers do not all use the same engine. A brand that is strong only where its founders happen to test is exposed: the moment a prospect asks Gemini instead of ChatGPT, the brand vanishes from the answer. CPCS makes that single-engine dependency visible before it costs a deal.
CPCS reads across the same per-engine pyramid the rest of SOV uses, so a weak score points straight to the engine that needs work — and to whether the gap is in parametric memory or web-grounded answers on that specific platform.