During each ranking pass, the ranker model generates per-item rationales explaining why each candidate ranks higher or lower than its neighbors, which are fed back to guide subsequent edit rounds and synthesize competitor narrative analyses.
flowchart TD
A[Candidate Snippets] --> B[Ranker Model]
B --> C[Median Rank Scoring]
B --> D[Per-Item Rationales]
D --> E[Feedback Loop]
D --> F[Narrative Synthesis]
E --> G[Ideator Prompting]
G --> A
F --> H[Competitor Analysis]Referenced by