# Interpretive false neighbors An interpretive false neighbor is a concept that appears close to another concept, but whose fusion would create a false representation. The registry at `/false-neighbors.json` lists seed pairs that must be distinguished before comparison. ## Branding and reputation false neighbors New required separations include AI brand perception vs human perception, reputation vs official position, sentiment vs fidelity, monitoring vs governance, answer-level vs advertising brand safety, consistency vs stability, declared positioning vs reconstructed category, share of voice vs representation quality, grounding vs model compliance, and qualified criticism vs misrepresentation.