The Content Optimizer drives a multi-round Bayesian optimization loop that crafts targeted snippet edits against ranked competitor sets, updates statistical win probabilities per hypothesis using an acquisition algorithm, and diversifies tests across a six-tier Rank Factor Class taxonomy.