Holistic cross-comparison analysis evaluates paired sessions to uncover discrepancies between training memory and live search, identifying grounded-only discoveries, stale training associations, and converged brand attributes.

flowchart TD
    subgraph Input["Input"]
        W[Website / Entity]
    end

    subgraph Pipeline["Dual Execution Pipeline"]
        P1[Ungrounded Probe<br>Parametric Memory & Logprobs]
        P2[Grounded Probe<br>Live Google Search]
    end

    subgraph Aggregation["Aggregation"]
        A1[Ungrounded Associations<br>Appearance Rate & Confidence]
        A2[Grounded Associations<br>Appearance Rate & Ranks]
    end

    subgraph Holistic["Holistic Analysis"]
        H[Cross-Comparison Engine]
        D1[Rank Discrepancies]
        D2[Grounded-Only Discoveries]
        D3[Ungrounded Stale Claims]
        D4[Converged Attributes]
    end

    W --> P1
    W --> P2
    P1 --> A1
    P2 --> A2
    A1 --> H
    A2 --> H
    H --> D1
    H --> D2
    H --> D3
    H --> D4