Q2B and E2B prompt the AI to name brands associated with a specific query or entity, whereas B2E reverses the direction by prompting the AI to list the concepts, products, and attributes it associates with a brand.
sequenceDiagram
autonumber
actor User as Auxy Engine
participant LLM as AI Model
Note over User,LLM: Q2B: Query to Brands
User->>LLM: "List 10 brands associated with {query}"
LLM-->>User: [Brand A, Brand B, ...]
Note over User,LLM: E2B: Entity to Brands
User->>LLM: "List 10 brands associated with {entity}"
LLM-->>User: [Brand A, Brand B, ...]
Note over User,LLM: B2E: Brand to Concepts
User->>LLM: "List 10 things associated with {brand}"
LLM-->>User: [Concept A, Product B, ...]