Returns high-level aggregate KPIs for one query: total result count, brand visibility percentage, average sentiment, source presence, shopping presence, and average ranking. Use this as the summary header when drilling into a single query detail view.
Project ID to specify the project context
Start date (inclusive)
"2025-01-01"
End date (exclusive)
"2025-02-01"
Filter by country code
Filter by language code
Filter by AI models
Filter by responses that have sources
Filter by responses that have shopping products
Filter by query tag IDs
Filter by execution tag IDs
Query tag matching mode: "or" matches ANY tag (default), "and" matches ALL tags.
and, or Execution tag matching mode: "or" matches ANY tag (default), "and" matches ALL tags.
and, or When true, entities belonging to the same entity_group are collapsed into a single row. Uses COUNT(DISTINCT ai_response_id) so that two group members present in the same response count as one (visibility cannot exceed 100%).
Filter which entity types to include in results. Accepted values: "owned", "primary", "competitor". Defaults to all types when omitted.
owned, primary, competitor ["owned", "primary", "competitor"]Entity IDs for brand-scoped metrics. Defaults to project brand.
Total AI responses for this query.
42
Brand visibility — % of responses mentioning the brand.
67
Average sentiment score (0–100). Null if no sentiment data.
72.3
% of responses that include source citations.
85
% of responses that include shopping products.
23
Average position rank. Null if no position data.
2.3