How do you handle Wikipedia content that appears in AI-generated answers?

Wikipedia sits at or near the top of the source weighting for every major AI engine, which is why the Wikipedia article on a company is so often the basis of the AI response a user receives. The propagation has two distinct timescales. Retrieval-driven engines – Perplexity, Google AI Overviews, ChatGPT Search – issue live web searches at the moment of the query and reflect Wikipedia changes within hours or days of an edit landing. Pre-training-driven responses move slower: the engine has to be retrained or fine-tuned for the deeper baseline to shift, and that cycle runs months. The practical implication is that Wikipedia work is one of the highest-leverage interventions in AI reputation management, because the same edit moves multiple engines simultaneously – the article is the upstream source that all of them weight. We track the propagation engine by engine through AIQ™.