The Content Optimizer evaluates ranking factors by classifying testable hypotheses into a structured Rank Factor Class taxonomy, applying targeted page or snippet edits, and measuring rank movements via an LLM re-ranker to compute Bayesian posterior updates on each factor's win rate.
flowchart LR
A[Seeder: Hypotheses] --> B[Classifier: Assign Rank Factors]
B --> C[Ideator: Craft Snippet/Page Edit]
C --> D[Ranker: Multi-sample LLM Ranking]
D --> E[Bayesian Update: Win Rate Beta Distribution]
E --> F{Halt or Converged?}
F -- No --> C
F -- Yes --> G[Content Brief & Narrative]Referenced by