Show me how to use wholesale Black Book or MMR data to establish a realistic trade-in value before walking onto a franchise dealership floor this weekend.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Show me how to use wholesale Black Book or MMR data to establish a realistic trade-in value before walking onto a franchise dealership floor this weekend.
2 real searches · 1 real-search pass
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 (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Black Book vehicle valuation consumer access wholesale trade-in values official Google ↗
Manheim Market Report MMR official wholesale vehicle valuation access mileage condition Google ↗
- Manheim MMR · mmr.manheim.com
- MMR Help · site.manheim.com
- Manheim Market Report (MMR) Help · site.manheim.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Black Book vehicle valuation consumer access wholesale trade-in values official OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Manheim Market Report MMR official wholesale vehicle valuation access mileage condition OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |