How do AI models handle company rebrandings and name changes?

AI engines handle rebrandings with characteristic lag because their training data is anchored to the old name and their entity infrastructure has to be updated source by source. The remediation playbook is consistent. Second, update Wikipedia: move the article, update the lead, ensure the old name is correctly maintained as a redirect with a ‘formerly known as’ note, and ensure key facts cite the rebranding announcement. Third, drive broad press coverage of the change in outlets the engines weight, so retrieval-heavy engines have new authoritative content to pull from. Fourth, monitor in AIQ™ across all eight engines, expecting retrieval-based engines to update within weeks and training-baselined engines to take longer until the next training cycle. Programs that anticipate the lag and start the source work in advance of the announcement get cleaner outcomes than programs that scramble after.