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Prompts

List query fan-out

The sub-queries a model actually issued when answering your tracked prompts. view=query (default) returns one row per distinct sub-query with count and share; view=prompt returns one row per prompt with how many distinct sub-queries it produced. Fan-out is reported mainly by ChatGPT.

get/dimensions/query_fan_outs

Query parameters

project_idinteger required

Project ID

pageinteger
per_pageinteger
view'query' | 'prompt'
order'count' | 'share' | 'query_text' | 'total_count' | 'variations_count' | 'prompt_text'
direction'asc' | 'desc'
querystring
model'chatgpt' | 'perplexity' | 'gemini' | 'ai_overview' | 'ai_mode' | 'copilot' | 'claude' | 'grok' | 'deepseek' | 'meta_ai' | 'amazon_rufus'

Filter by AI model. Models the API key's user has not enabled are silently dropped.

collection_idinteger
country_codestring
language_codestring
promptinteger
prompt_type'informational' | 'navigational' | 'commercial' | 'transactional'

Filter by prompt type (search intent).

brand_kind'brand' | 'brand_other' | 'non_brand'

Filter by brand kind: brand (own brand/products), brand_other (competitors/other brands), non_brand (generic, no brand named). For fair 1:1 brand-vs-competitor comparisons (visibility, share of voice), use non_brand: brand-focused prompts skew results toward the brand they name. The in-app Overview page applies non_brand by default.

rangeinteger

Number of days to look back

fromstring date-time
tostring date-time
output'flat' | 'csv'

Rectangular output for BI tools (Tableau, Excel, Sheets, ELT). Omit for the default nested JSON. 'flat' returns the same metadata plus 'columns' and 'rows'; 'csv' returns those rows as text/csv. Errors are always returned as JSON.

Response

Paginated fan-out rows

Changes