Real ChatGPT answer · index seedg5R7yvGsKUwcompleteFinance and banking · personal loanscomparison

Analyze the soft credit check pre qualification processes for Marcus and Best Egg to see which one provides an interest rate estimate closest to the final binding offer.

ChatGPTgpt-61 query10/31/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
Analyze the soft credit check pre qualification processes for Marcus and Best Egg to see which one provides an interest rate estimate closest to the final binding offer.
1 real search · 1 real-search pass
Marcus personal loans prequalification estimated APR final offer soft credit check accuracy APR range underwriting; Best Egg prequalification estimated APR final offer soft credit check accuracyGoogle ↗
OBSERVEDComparison

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (1)
Short factOther / navigationalComparison100%ConsequenceReasonDefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT1 real searches · gpt-6
Marcus personal loans prequalification estimated APR final offer soft credit check accuracy APR range underwriting; Best Egg prequalification estimated APR final offer soft credit check accuracy Google ↗

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Marcus personal loans prequalification estimated APR final offer soft credit check accuracy APR range underwriting; Best Egg prequalification estimated APR final offer soft credit check accuracy
OBSERVED
Google ↗
AI Mode ↗
—Comparison——1x
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