A Post-Incident Control Test for External AI Representation: Why Most Enterprises Cannot Produce Reproducible Evidence

External artificial intelligence systems increasingly influence how organizations are represented to customers, procurement teams, analysts, and other decision-makers. Despite this, most enterprise governance frameworks treat external AI reasoning as out of scope. This governance note documents a single post-incident control test that reveals whether an organization has effective control over external AI representation. When applied under audit conditions, most enterprises are unable to answer the test with reproducible evidence. The analysis explains why common monitoring and AI governance practices fail this test and clarifies where accountability ultimately lands after an incident.