What is the correct procedure for pricing a massive collection of mixed-condition Pokémon cards when I only have a few hours before our store opens?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the correct procedure for pricing a massive collection of mixed-condition Pokémon cards when I only have a few hours before our store opens?
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
TCGplayer card condition guidelines Near Mint Lightly Played Moderately Played Heavily Played Damaged Pokémon cards pricing market price guide Google ↗
Cardmarket condition guide Pokémon cards condition grading pricing Google ↗
- Card Conditioning Overview · help.tcgplayer.com
- Understanding Card Condition Imperfections: A Comprehensive Guide · help.tcgplayer.com
- TCGplayer marketplace · tcgplayer.com
- eBay sold listings · ebay.com
- PriceCharting · pricecharting.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
TCGplayer card condition guidelines Near Mint Lightly Played Moderately Played Heavily Played Damaged Pokémon cards pricing market price guide OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
Cardmarket condition guide Pokémon cards condition grading pricing OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 |