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POST
/
api
/
analytics
/
visibility
/
entities
Get per-entity visibility scores
curl --request POST \
  --url https://api.mentionlab.io/api/analytics/visibility/entities \
  --header 'Content-Type: application/json' \
  --header 'x-project-id: <x-project-id>' \
  --data '
{
  "startDate": "2025-01-01",
  "endDate": "2025-02-01",
  "country": "<string>",
  "language": "<string>",
  "models": [
    "<string>"
  ],
  "hasSources": true,
  "hasShopping": true,
  "queryTagIds": [
    "<string>"
  ],
  "execTagIds": [
    "<string>"
  ],
  "queryTagMode": "or",
  "execTagMode": "or",
  "groupByEntityGroup": false,
  "entityTypes": [
    "owned",
    "primary",
    "competitor"
  ],
  "entityIds": [
    "<string>"
  ]
}
'
[
  {
    "displayKey": "550e8400-e29b-41d4-a716-446655440000",
    "displayName": "Acme Corp",
    "totalResponses": 150,
    "presentIn": 42,
    "visibilityPct": 28,
    "avgPositionRank": 2.5,
    "isOwned": true,
    "isPrimary": true,
    "isCompetitor": false,
    "mentionCount": 56,
    "sentimentScore": 72.3,
    "sentiment": {
      "positive": 35,
      "neutral": 15,
      "negative": 6
    },
    "avgMentionsPerResult": 1.33
  }
]

Headers

x-project-id
string
required

Project ID to specify the project context

Body

application/json
startDate
string

Start date (inclusive)

Example:

"2025-01-01"

endDate
string

End date (exclusive)

Example:

"2025-02-01"

country
string

Filter by country code

language
string

Filter by language code

models
string[]

Filter by AI models

hasSources
boolean

Filter by responses that have sources

hasShopping
boolean

Filter by responses that have shopping products

queryTagIds
string[]

Filter by query tag IDs

execTagIds
string[]

Filter by execution tag IDs

queryTagMode
enum<string>
default:or

Query tag matching mode: "or" matches ANY tag (default), "and" matches ALL tags.

Available options:
and,
or
execTagMode
enum<string>
default:or

Execution tag matching mode: "or" matches ANY tag (default), "and" matches ALL tags.

Available options:
and,
or
groupByEntityGroup
boolean
default:false

Collapse entities by entity_group (uses COUNT DISTINCT ai_response_id)

entityTypes
enum<string>[]

Filter which entity types to include in results. Accepted values: "owned", "primary", "competitor". Defaults to all types when omitted.

Available options:
owned,
primary,
competitor
Example:
["owned", "primary", "competitor"]
entityIds
string[]

Filter to specific entity IDs (result-only, does not affect denominator)

Response

200 - application/json
displayKey
string
required

Unique identifier for the entity or entity group. In per-entity mode this is the canonical entity ID; in grouped mode it is the entity group ID (or entity ID if ungrouped).

Example:

"550e8400-e29b-41d4-a716-446655440000"

displayName
string
required

Human-readable name of the entity or entity group.

Example:

"Acme Corp"

totalResponses
number
required

Total number of AI responses in the filtered date range (denominator for visibilityPct). Scoped by the request filters (project, date range, models, platforms, tags).

Example:

150

presentIn
number
required

Number of AI responses that mention this entity/group (numerator for visibilityPct). A response mentioning multiple variants of the same canonical entity is counted once.

Example:

42

visibilityPct
number | null
required

Visibility percentage — how often this entity/group appears across AI responses. Formula: (presentIn / totalResponses) × 100.

Example:

28

avgPositionRank
number
required

Weighted average position rank for this entity across all AI responses that mention it. Lower values mean the entity tends to appear higher/earlier in responses. Weighted by mention count to account for canonical entity merging.

Example:

2.5

isOwned
boolean
required

Whether this entity is owned by the project (i.e. the project's own brand or product).

Example:

true

isPrimary
boolean
required

Whether this entity is the primary (main) entity for the project.

Example:

true

isCompetitor
boolean
required

Whether this entity is a configured competitor of the project.

Example:

false

mentionCount
number
required

Total number of mention entries for this entity (raw count before dedup). Used to compute avgMentionsPerResult.

Example:

56

sentimentScore
number
required

Average sentiment score for this entity across all mentions. Scale: 0 (most negative) to 100 (most positive).

Example:

72.3

sentiment
object
required

Sentiment breakdown counts for this entity.

avgMentionsPerResult
number | null
required

Average number of times this entity is mentioned per AI response that mentions it. Formula: mentionCount / presentIn. Values > 1 indicate repeated prominence.

Example:

1.33