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 --> D4Referenced by