Classify GSC queries by intent and language

Judges: One GSC query with impressions and position. Questions: choice:intent - local_transactional, procedure_research, symptom_or_problem, branded, navigational, competitor, junk; choice:language - patient_language, clinical_language. Action: Code groups queries into rank-track

AA clean typed decision (yes/no, a pick from a list, or a level on a scale) that is concrete, repeats routinely, and has meaningful value.3.96

Key facts

Vertical: Healthcare & dental
Function: SEO & AI search
Status: Idea
Volume: routine
Value: meaningful
Risk: moderate
Evidence: —
Flags: None

Build this with a classifier

Define a typed decision with a bounded answer, then evaluate it on examples.

{
  "decision_type": "choice",
  "question": "Does this input match the decision in “Classify GSC queries by intent and language”?",
  "input": "<input to classify>",
  "output": "one label from a fixed list"
}

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