The Content Optimizer is an iterative Bayesian testing engine that uses Thompson sampling to craft, rank, and apply targeted snippet or page-level content edits to improve visibility in AI search while tracking blast radius impact across related queries.
flowchart LR
A[Baseline Content] --> B[Seeder: Hypotheses]
B --> C[Classifier: Tagging]
C --> D[Thompson Sampling]
D --> E[Ideator: Patch Edits]
E --> F[Ranker: LLM Eval]
F --> G{Rank Improved?}
G -- Yes --> H[Update Reward]
G -- No --> I[Update Penalty]
H --> J{Stop Limit?}
I --> J
J -- No --> D
J -- Yes --> K[Winning Brief & Blast Radius]