narrative-tracker

AI narrative drift is tracked by capturing full response texts from brand, comparison, and category prompts, then scoring attribute presence and distortion against prior timestamped snapshots to detect positioning shifts over time.

Competitor narrative detection works by monitoring parallel AI responses to identify contested or newly claimed themes, allowing you to track how competitor positioning shifts and map their narrative ownership against your brand.

Correcting AI brand misrepresentations involves using the narrative alignment scoring data to generate targeted content recommendations that reinforce correct framing and actively counter distorted or outdated attributes.

Yes, you must load active brand and profile context from local brand files, alongside your desired positioning statements, key brand attributes, and competitor list, to accurately score AI responses and detect narrative drift.

Yes, you can audit historical brand descriptions by diffing current AI response scores against prior snapshots and storing a timestamped audit trail that reports exactly when and how narrative misrepresentations occurred.