A measure of how close in meaning two pieces of text are, regardless of the exact words they use.
ID
SS-DF-102
Confidence
Established · 77
Evidence
Established
Updated
2026-07-08
Definition
A measure of how close in meaning two pieces of text are, regardless of the exact words they use.
Semantic similarity scores how alike two texts are conceptually, usually by comparing their embedding vectors, so that 'reduce churn' and 'stop customers leaving' register as related. AI engines rely on it to match questions to answers and to decide which of your passages best fits a query. High semantic alignment between your content and the real questions in your market is a direct lever for being retrieved, quoted and cited.