Anti-duplication check

An anti-duplication check is an AI-generator safeguard that compares a new draft (or its planned angle) against the brand’s existing library to prevent re-covering ground the brand has already published.

Without the check, AI generators reliably re-produce posts on the same topics with similar angles — the model defaults to whatever it has seen most often in training, which often matches what the brand has already published. Anti-duplication checks pull recent posts on the same channel/topic, feed them to the generator as "do not repeat this", and either rewrite the angle or flag the duplication for the user.

Quality implementations check at two stages: before generation (the strategy/brief layer picks an angle the library doesn’t already cover) and after generation (the draft is checked against the library and flagged if too similar). Embedding-based similarity is the typical mechanism.

Repetition without realisation is one of the fastest ways an AI workflow erodes a brand. Anti-duplication is the floor below which the workflow shouldn’t fall.