Real ChatGPT answer · index seed2R42KcSMwC0completeParenting and family · adoption and fosteringbrand

How does the Dave Thomas Foundation evaluate which foster children are hardest to place and need the most advocacy

ChatGPTgpt-61 query11/1/2026
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The searches the AI actually ran for this prompt.

SEED QUERY
How does the Dave Thomas Foundation evaluate which foster children are hardest to place and need the most advocacy
1 real search · 1 real-search pass
Dave Thomas Foundation how identifies hardest to place children Wendy's Wonderful Kids child characteristics referral criteria adoption advocacyGoogle ↗
OBSERVEDReason

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 / navigationalComparisonConsequenceReason100%DefinitionInstructionYes / 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
Dave Thomas Foundation how identifies hardest to place children Wendy's Wonderful Kids child characteristics referral criteria adoption advocacy Google ↗
  1. Referring Youth to Wendy’s Wonderful Kids · davethomasfoundation.org
  2. Layout 1 · davethomasfoundation.org
  3. Layout 1 · davethomasfoundation.org
  4. Wendy's Wonderful Kids · davethomasfoundation.org
  5. Case study: Improving adoption rates · childtrends.org
  6. Wendy's Wonderful Kids® 5-Year Evaluation 2011 · davethomasfoundation.org

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Dave Thomas Foundation how identifies hardest to place children Wendy's Wonderful Kids child characteristics referral criteria adoption advocacy
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1