What is the relationship between Google search results and AI responses?

The Google web results page and the AI response layer share most of their input signals – Wikipedia, the Knowledge Graph, authoritative news sources, structured data, owned-property quality – but they synthesize the signals differently and update on different clocks. Google web results re-rank with each crawl and serve the index in something close to real time. AI responses synthesize narratives that change as both retrieval and the training baseline shift, with different engines moving at different speeds. The practical implication for a reputation program is that source-layer work moves both layers, but the response curves are different. A strong new article shows up in Google web results within days; the same article shifts retrieval-heavy AI responses within days but does not affect training-baseline AI responses until the next retraining cycle. Programs need to be patient on the AI side and visibly active on the Google side.