Why Evidence Matters More Than Scores

In the world of AI visibility, tools increasingly advertise scores, rankings, and indices. But scores without evidence are like diagnoses without findings: they sound impressive, but you can't verify whether they're correct. ## The problem with scores An "AI Visibility Score" of 73% sounds good — but what does it mean? Which questions were checked? With which providers? What exactly counted as "visible"? Without this information, the score is a black box. ## The evidence-first approach Promptalyze takes a different approach: evidence first. Every metric is the result of inspectable data: - **Snapshots**: The exact answer text the AI system generated - **Citations**: The specific URLs listed as sources - **Findings**: Deterministic results — brand mentioned yes/no, owned domain cited yes/no - **Diffs**: What changed between two measurements ## From evidence to decisions Only when you see the evidence can you act meaningfully. "Your Visibility Score dropped" tells you nothing. "For the question 'What's the best CRM for startups?' you are no longer mentioned as of yesterday, but competitor X is" — that's actionable.