Returns per-entity sentiment data: each entity gets an average sentiment score, total mention count, and positive/neutral/negative breakdown. Entities are flagged as owned, primary, or competitor. Use this to compare how AI models perceive the brand versus competitors.
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"]
Scope to specific entity IDs. If omitted, returns all non-blacklisted entities.
Canonical entity ID.
"550e8400-e29b-41d4-a716-446655440000"
Entity display name.
"Acme Corp"
Whether the entity is owned by the project.
true
Whether this is the primary project entity.
true
Whether this is a competitor entity.
false
Average sentiment score (0–100).
72.3
Count of positive-sentiment mentions.
52
Count of neutral-sentiment mentions.
18
Count of negative-sentiment mentions.
10
Total mention count for this entity.
80