The Bayesian Content Optimizer seeds structural edit hypotheses against a target web page, applies a two-stage Bayesian acquisition strategy to select edits, and evaluates ranking movements against top search competitors across successive rounds.
flowchart LR
A[Scrape Page and Competitors] --> B[Seeder: Generate Hypotheses]
B --> C[Classifier: Map Rank Factors]
C --> D[Acquisition: Thompson Sampling]
D --> E[Ideator: Apply Edits]
E --> F[Ranker: LLM Scores Competitors]
F --> G[Bayesian Update: Posterior Shift]
G -->|Iterate| D
G -->|Converged| H[Winning Snippet or Brief]Referenced by