Live LLM Mentions Cross Aggregated Metrics

Compares mention metrics across several targets in one call, grouped by aggregation_key.

POST https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/cross_aggregated_metrics/live

Live LLM Mentions Cross Aggregated Metrics

cURL

curl --request POST \
  --url https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/cross_aggregated_metrics/live \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
[
  {
    "targets": [
      {
        "aggregation_key": "<string>",
        "target": [
          {
            "domain": "<string>",
            "include_subdomains": true,
            "keyword": "<string>",
            "match_type": "<string>",
            "search_filter": "<string>",
            "search_scope": [
              "<string>"
            ]
          }
        ]
      }
    ],
    "initial_dataset_filters": [
      "<unknown>"
    ],
    "internal_list_limit": 123,
    "language_code": "<string>",
    "language_name": "<string>",
    "location_code": 123,
    "location_name": "<string>",
    "platform": "<string>",
    "tag": "<string>"
  }
]
'

200

{
  "cost": 123,
  "status_code": 123,
  "status_message": "<string>",
  "tasks": [
    "<string>"
  ],
  "tasks.cost": 123,
  "tasks.data": {},
  "tasks.id": "<string>",
  "tasks.path": [
    "<string>"
  ],
  "tasks.result": [
    "<string>"
  ],
  "tasks.result.items": [
    "<string>"
  ],
  "tasks.result.items.brand_entities_category": [
    "<string>"
  ],
  "tasks.result.items.brand_entities_category.ai_search_volume": 123,
  "tasks.result.items.brand_entities_category.impressions": 123,
  "tasks.result.items.brand_entities_category.key": "<string>",
  "tasks.result.items.brand_entities_category.mentions": 123,
  "tasks.result.items.brand_entities_category.type": "<string>",
  "tasks.result.items.brand_entities_title": [
    "<string>"
  ],
  "tasks.result.items.brand_entities_title.ai_search_volume": 123,
  "tasks.result.items.brand_entities_title.impressions": 123,
  "tasks.result.items.brand_entities_title.key": "<string>",
  "tasks.result.items.brand_entities_title.mentions": 123,
  "tasks.result.items.brand_entities_title.type": "<string>",
  "tasks.result.items.key": "<string>",
  "tasks.result.items.language": [
    "<string>"
  ],
  "tasks.result.items.language.ai_search_volume": 123,
  "tasks.result.items.language.impressions": 123,
  "tasks.result.items.language.key": "<string>",
  "tasks.result.items.language.mentions": 123,
  "tasks.result.items.language.type": "<string>",
  "tasks.result.items.location": [
    "<string>"
  ],
  "tasks.result.items.location.ai_search_volume": 123,
  "tasks.result.items.location.impressions": 123,
  "tasks.result.items.location.key": "<string>",
  "tasks.result.items.location.mentions": 123,
  "tasks.result.items.location.type": "<string>",
  "tasks.result.items.platform": [
    "<string>"
  ],
  "tasks.result.items.platform.ai_search_volume": 123,
  "tasks.result.items.platform.impressions": 123,
  "tasks.result.items.platform.key": "<string>",
  "tasks.result.items.platform.mentions": 123,
  "tasks.result.items.platform.type": "<string>",
  "tasks.result.items.search_results_domain": [
    "<string>"
  ],
  "tasks.result.items.search_results_domain.ai_search_volume": 123,
  "tasks.result.items.search_results_domain.impressions": 123,
  "tasks.result.items.search_results_domain.key": "<string>",
  "tasks.result.items.search_results_domain.mentions": 123,
  "tasks.result.items.search_results_domain.type": "<string>",
  "tasks.result.items.sources_domain": [
    "<string>"
  ],
  "tasks.result.items.sources_domain.ai_search_volume": 123,
  "tasks.result.items.sources_domain.impressions": 123,
  "tasks.result.items.sources_domain.key": "<string>",
  "tasks.result.items.sources_domain.mentions": 123,
  "tasks.result.items.sources_domain.type": "<string>",
  "tasks.result.total": {},
  "tasks.result.total.brand_entities_category": [
    "<string>"
  ],
  "tasks.result.total.brand_entities_category.ai_search_volume": 123,
  "tasks.result.total.brand_entities_category.impressions": 123,
  "tasks.result.total.brand_entities_category.key": "<string>",
  "tasks.result.total.brand_entities_category.mentions": 123,
  "tasks.result.total.brand_entities_category.type": "<string>",
  "tasks.result.total.brand_entities_title": [
    "<string>"
  ],
  "tasks.result.total.brand_entities_title.ai_search_volume": 123,
  "tasks.result.total.brand_entities_title.impressions": 123,
  "tasks.result.total.brand_entities_title.key": "<string>",
  "tasks.result.total.brand_entities_title.mentions": 123,
  "tasks.result.total.brand_entities_title.type": "<string>",
  "tasks.result.total.language": [
    "<string>"
  ],
  "tasks.result.total.language.ai_search_volume": 123,
  "tasks.result.total.language.impressions": 123,
  "tasks.result.total.language.key": "<string>",
  "tasks.result.total.language.mentions": 123,
  "tasks.result.total.language.type": "<string>",
  "tasks.result.total.location": [
    "<string>"
  ],
  "tasks.result.total.location.ai_search_volume": 123,
  "tasks.result.total.location.impressions": 123,
  "tasks.result.total.location.key": "<string>",
  "tasks.result.total.location.mentions": 123,
  "tasks.result.total.location.type": "<string>",
  "tasks.result.total.platform": [
    "<string>"
  ],
  "tasks.result.total.platform.ai_search_volume": 123,
  "tasks.result.total.platform.impressions": 123,
  "tasks.result.total.platform.key": "<string>",
  "tasks.result.total.platform.mentions": 123,
  "tasks.result.total.platform.type": "<string>",
  "tasks.result.total.search_results_domain": [
    "<string>"
  ],
  "tasks.result.total.search_results_domain.ai_search_volume": 123,
  "tasks.result.total.search_results_domain.impressions": 123,
  "tasks.result.total.search_results_domain.key": "<string>",
  "tasks.result.total.search_results_domain.mentions": 123,
  "tasks.result.total.search_results_domain.type": "<string>",
  "tasks.result.total.sources_domain": [
    "<string>"
  ],
  "tasks.result.total.sources_domain.ai_search_volume": 123,
  "tasks.result.total.sources_domain.impressions": 123,
  "tasks.result.total.sources_domain.key": "<string>",
  "tasks.result.total.sources_domain.mentions": 123,
  "tasks.result.total.sources_domain.type": "<string>",
  "tasks.result_count": 123,
  "tasks.status_code": 123,
  "tasks.status_message": "<string>",
  "tasks.time": "<string>",
  "tasks_count": 123,
  "tasks_error": 123,
  "time": "<string>",
  "version": "<string>"
}

Compares mention metrics across several targets in one call, grouped by aggregation_key. Takes targets as a list of target arrays rather than the single target its siblings take - the shapes differ, and mixing them up is rejected as an unknown field. ⚠️ target is an array of objects, each {"domain": "..."} or {"keyword": "..."}; a bare string is rejected as the wrong type and an array of strings as ‘Each target item must be an object’. Filter fields come from get_dataforseo_ai_llm_mentions_available_filters. Wrapped in DataForSEO’s envelope: data in tasks[0].result, outcome in tasks[0].status_code - a rejected request still returns HTTP 200. Running post_dataforseo_ai_llm_mentions_aggregated_metrics_live once per target costs the same per call, so use this when the comparison itself is the point.

Example

REST

curl -X POST "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/cross_aggregated_metrics/live" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '[{"targets": "...", "aggregation_key": "...", "target": "..."}]'

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Set this endpoint up in your agent →

Request contract

• Method and path: POST /apis/v1/dataforseo/ai_optimization/llm_mentions/cross_aggregated_metrics/live
• Availability: enabled
• Request URL template: https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/cross_aggregated_metrics/live
• Runtime facts: 6ab8fec17df1d5dcdff2e036dd1eb40587752b774ec040ab4eb0cc6946c3dd3c

Complete OpenAPI definition

Effective request and pricing declaration (including authentication and referenced schemas):

{
  "operationId": "post_dataforseo_ai_llm_mentions_cross_metrics_live",
  "method": "POST",
  "path": "/apis/v1/dataforseo/ai_optimization/llm_mentions/cross_aggregated_metrics/live",
  "servers": [
    {
      "url": "https://api.aisa.one"
    }
  ],
  "parameters": [],
  "security": [
    {
      "bearerAuth": []
    }
  ],
  "requestBody": {
    "content": {
      "application/json": {
        "schema": {
          "items": {
            "properties": {
              "initial_dataset_filters": {
                "description": "array of filter expressions applied before aggregation optional field you can use this array to filter expressions applied to the raw mentions database before aggregation to limit the rows contributing to the result;you can add several filters at once (8 filters maximum) you should set a logical operator and, or between the conditions the following operators are supported: =, , in, not_in, like, not_like, ilike, not_ilike, match, not_match you can use the % operator with like and not_like to match any string of zero or more characters example: [\"ai_search_volume\",\">\",\"1000\"]the full list of possible filters is available here. learn more about the initial dataset filters in this help center article.",
                "items": {},
                "type": "array"
              },
              "internal_list_limit": {
                "description": "maximum number of elements within internal arrays optional field you can use this field to limit the number of elements within the following arrays: sources_domain search_results_domain minimum value: 1 maximum value: 10 default value: 5",
                "type": "integer"
              },
              "language_code": {
                "description": "search language code optional field if you use this field, you don't need to specify language_name; you can receive the list of available languages of the search engine with their language_code_by making a separate request to the https://api.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages default value: en Note: chat_gpt data is available for en onlyn",
                "type": "string"
              },
              "language_name": {
                "description": "full name of search language optional field if you use this field, you don't need to specify language_code; if you don't specify this field, the language_code with en value will be used by default; you can receive the list of available languages of the search engine with their language_name by making a separate request to the https://api.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages Note: chat_gpt data is available for English only",
                "type": "string"
              },
              "location_code": {
                "description": "search location code optional field if you use this field, you don't need to specify location_name you can receive the list of available locations of the search engine with their location_code by making a separate request to the https://api.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages default value: 2840 Note: chat_gpt data is available for 2840 only",
                "type": "integer"
              },
              "location_name": {
                "description": "full name of search location optional field if you use this field, you don't need to specify location_code if you don't specify this field, the location_code with 2840 value will be used by default; you can receive the list of available locations of the search engine with their location_name by making a separate request to the https://api.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages Note: chat_gpt data is available for United States only",
                "type": "string"
              },
              "platform": {
                "description": "target platform optional field possible values: chat_gpt, google default value: google Note: the data returned depends on the selected platform Note #2:chat_gpt data is available for the United States and English only",
                "type": "string"
              },
              "tag": {
                "description": "user-defined task identifier optional field the character limit is 255 you can use this parameter to identify the task and match it with the result you will find the specified tag value in the data object of the response",
                "type": "string"
              },
              "targets": {
                "description": "array of objects containing target entities with aggregation keys required field you can specify up to 10, but not less than 2 target sets of parameters, each with its aggregation_key;example of a targets array with multiple entities: [{\"aggregation_key\":\"bmw\",\"target\":[{\"domain\":\"en.wikipedia.org\",\"search_filter\":\"exclude\"},{\"keyword\":\"m5\",\"match_type\":\"partial_match\",\"search_scope\":[\"answer\"]}]},{\"aggregation_key\":\"mercedes\",\"target\":[{\"domain\":\"www.mercedes-benz.com\",\"search_filter\":\"exclude\"},{\"keyword\":\"GLC\",\"match_type\":\"word_match\"}]}]",
                "items": {
                  "properties": {
                    "aggregation_key": {
                      "description": "aggregation key for grouping the results required field groups results for comparison and serves as a label for the group; you can specify up to 250 characters in the aggregation_key field",
                      "type": "string"
                    },
                    "target": {
                      "description": "array of objects containing target entities required field a single target can contain up to 10 domain and/or keyword entities",
                      "items": {
                        "oneOf": [
                          {
                            "required": [
                              "domain"
                            ]
                          },
                          {
                            "required": [
                              "keyword"
                            ]
                          }
                        ],
                        "properties": {
                          "domain": {
                            "description": "target domain required field if you don't specify a keyword you can specify up to 63 characters in the domain field; a domain should be specified without https:// and www.",
                            "type": "string"
                          },
                          "include_subdomains": {
                            "description": "indicates if the subdomains of the target domain will be included in the search optional field if set to true, the subdomains will be included in the search default value: false",
                            "type": "boolean"
                          },
                          "keyword": {
                            "description": "target keyword required field if you don't specify a domain you can specify up to 250 characters in the keyword field all %## will be decoded (plus character ‘+’ will be decoded to a space character) if you need to use the “%” character for your keyword, please specify it as “%25”; if you need to use the “+” character for your keyword, please specify it as “%2B”learn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article",
                            "type": "string"
                          },
                          "match_type": {
                            "description": "target keyword match type defines how the specified keyword is matched optional field possible values: word_match - full-text search for terms that match the specified seed keyword with additional words included before, after, or within the key phrase (e.g., search for \"light\" will return results with \"light bulb\", \"light switch\"); partial_match - substring search that finds all instances containing the specified sequence of characters, even if it appears inside a longer word (e.g., search for \"light\" will return results with \"lighting\", \"highlight\"); default value: word_match",
                            "type": "string"
                          },
                          "search_filter": {
                            "description": "Entity search filter: include or exclude; defaults to include.",
                            "type": "string"
                          },
                          "search_scope": {
                            "description": "Search scope. Domain entities: any, sources, search_results. Keyword entities: any, question, answer, brand_entities, fan_out_queries. Default: any.",
                            "items": {
                              "type": "string"
                            },
                            "type": "array"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    }
                  },
                  "required": [
                    "aggregation_key",
                    "target"
                  ],
                  "type": "object"
                },
                "type": "array"
              }
            },
            "required": [
              "targets"
            ],
            "type": "object"
          },
          "type": "array"
        }
      }
    },
    "required": true
  },
  "x-aisa-status": "enabled",
  "x-aisa-pricing": {
    "cost_contract": "response_usd",
    "customer_multiplier": 1.0,
    "customer_pricing": "provider_cost_multiplier",
    "default_request_estimate_usd": 0.101,
    "estimate_source": "profile_seed",
    "evidence_source": "response_body"
  },
  "components": {
    "securitySchemes": {
      "bearerAuth": {
        "scheme": "bearer",
        "type": "http"
      }
    }
  }
}

Cost and request rules

Usage-based billing; Default request estimate: $0.101 USD (not a fixed price). Account-specific pricing and final settlement may differ.

Published reference values are not an account-specific quote or a settled charge. For endpoints supporting X-AISA-Cost-Mode: quote, obtain a free quote for your exact request before execution; reconcile the settled cost with response metadata and Usage Logs. USD amounts use 1,000,000 integer micro-USD per dollar.

• Default request reference estimate (USD): 0.101
• Cost contract: response_usd
• Published reference multiplier: 1.0
• Settlement evidence source: response_body

Authorizations

Authorization · string · header · required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json

targets · object[] · required

array of objects containing target entities with aggregation keys required field you can specify up to 10, but not less than 2 target sets of parameters, each with its aggregation_key;example of a targets array with multiple entities: [{"aggregation_key":"bmw","target":[{"domain":"en.wikipedia.org","search_filter":"exclude"},{"keyword":"m5","match_type":"partial_match","search_scope":["answer"]}]},{"aggregation_key":"mercedes","target":[{"domain":"www.mercedes-benz.com","search_filter":"exclude"},{"keyword":"GLC","match_type":"word_match [blocked]"}]}]

Show child attributes

initial_dataset_filters · any[]

array of filter expressions applied before aggregation optional field you can use this array to filter expressions applied to the raw mentions database before aggregation to limit the rows contributing to the result;you can add several filters at once (8 filters maximum) you should set a logical operator and, or between the conditions the following operators are supported: =, , in, not_in, like, not_like, ilike, not_ilike, match, not_match you can use the % operator with like and not_like to match any string of zero or more characters example: ["ai_search_volume",">","1000"]the full list of possible filters is available here. learn more about the initial dataset filters in this help center article.

internal_list_limit · integer

maximum number of elements within internal arrays optional field you can use this field to limit the number of elements within the following arrays: sources_domain search_results_domain minimum value: 1 maximum value: 10 default value: 5

language_code · string

search language code optional field if you use this field, you don't need to specify language_name; you can receive the list of available languages of the search engine with their language_code_by making a separate request to the https://api.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages default value: en Note: chat_gpt data is available for en onlyn

language_name · string

full name of search language optional field if you use this field, you don't need to specify language_code; if you don't specify this field, the language_code with en value will be used by default; you can receive the list of available languages of the search engine with their language_name by making a separate request to the https://api.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages Note: chat_gpt data is available for English only

location_code · integer

search location code optional field if you use this field, you don't need to specify location_name you can receive the list of available locations of the search engine with their location_code by making a separate request to the https://api.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages default value: 2840 Note: chat_gpt data is available for 2840 only

location_name · string

full name of search location optional field if you use this field, you don't need to specify location_code if you don't specify this field, the location_code with 2840 value will be used by default; you can receive the list of available locations of the search engine with their location_name by making a separate request to the https://api.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages Note: chat_gpt data is available for United States only

platform · string

target platform optional field possible values: chat_gpt, google default value: google Note: the data returned depends on the selected platform Note #2:chat_gpt data is available for the United States and English only

tag · string

user-defined task identifier optional field the character limit is 255 you can use this parameter to identify the task and match it with the result you will find the specified tag value in the data object of the response

Response

200

application/json

Successful response

cost · number

total tasks cost, USD

status_code · integer

general status code you can find the full list of the response codes here Note: we strongly recommend designing a necessary system for handling related exceptional or error conditions

status_message · string

general informational message you can find the full list of general informational messages here

tasks · string[]

array of tasks

tasks.cost · number

cost of the task, USD

tasks.data · object

contains the same parameters that you specified in the POST request

tasks.id · string

task identifier unique task identifier in our system in the UUID format

tasks.path · string[]

URL path

tasks.result · string[]

array of results

tasks.result.items · string[]

contains relevant mentions data

tasks.result.items.brand_entities_category · string[]

data on brand entities relevant to the target array of objects containing data on brand entity categories that appear in search results related to LLM queries

tasks.result.items.brand_entities_category.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.items.brand_entities_category.impressions · integer

current AI impressions rate of a keyword

tasks.result.items.brand_entities_category.key · string

grouping identifier the specific identifier for the grouping dimension in this case the field displays a found brand entity category

tasks.result.items.brand_entities_category.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain

tasks.result.items.brand_entities_category.type · string

type of the element = 'group_element'

tasks.result.items.brand_entities_title · string[]

data on brand entities relevant to the target array of objects containing data on brand entity titles that appear in search results related to LLM queries

tasks.result.items.brand_entities_title.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.items.brand_entities_title.impressions · integer

current AI impressions rate of a keyword

tasks.result.items.brand_entities_title.key · string

grouping identifier the specific identifier for the grouping dimension in this case the field displays a found brand entity title

tasks.result.items.brand_entities_title.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain

tasks.result.items.brand_entities_title.type · string

type of the element = 'group_element'

tasks.result.items.key · string

aggregation key received in a POST array

tasks.result.items.language · string[]

language-based grouping array of objects containing mention metrics segmented by content language

tasks.result.items.language.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.items.language.impressions · integer

current AI impressions rate of a keyword

tasks.result.items.language.key · string

grouping identifier the specific identifier for the grouping dimension

tasks.result.items.language.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to this specific grouping key

tasks.result.items.language.type · string

type of the element = 'group_element'

tasks.result.items.location · string[]

location-based grouping array of objects containing mention metrics segmented by geographical location

tasks.result.items.location.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.items.location.impressions · integer

current AI impressions rate of a keyword

tasks.result.items.location.key · string

grouping identifier the specific identifier for the grouping dimension

tasks.result.items.location.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to this specific grouping key

tasks.result.items.location.type · string

type of the element = 'group_element'

tasks.result.items.platform · string[]

platform-based grouping array of group elements containing mention metrics segmented by AI platform

tasks.result.items.platform.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.items.platform.impressions · integer

current AI impressions rate of a keyword

tasks.result.items.platform.key · string

grouping identifier the specific identifier for the grouping dimension

tasks.result.items.platform.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to this specific grouping key

tasks.result.items.platform.type · string

type of the element = 'group_element'

tasks.result.items.search_results_domain · string[]

found top search results domains relevant to the target array of objects containing data on top domains that appear in search results related to LLM queries

tasks.result.items.search_results_domain.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.items.search_results_domain.impressions · integer

current AI impressions rate of a keyword

tasks.result.items.search_results_domain.key · string

grouping identifier the specific identifier for the grouping dimension in this case the field displays a found domain name

tasks.result.items.search_results_domain.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain

tasks.result.items.search_results_domain.type · string

type of the element = 'group_element'

tasks.result.items.sources_domain · string[]

found top source domains relevant to the target array of objects containing data on top domains that are cited as sources in LLM responses

tasks.result.items.sources_domain.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.items.sources_domain.impressions · integer

current AI impressions rate of a keyword

tasks.result.items.sources_domain.key · string

grouping identifier the specific identifier for the grouping dimension in this case the field displays a found domain name

tasks.result.items.sources_domain.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain

tasks.result.items.sources_domain.type · string

type of the element = 'group_element'

tasks.result.total · object

aggregated mentions metrics summary contains overall aggregated LLM mention metrics across all found domains, grouped by various dimensions

tasks.result.total.brand_entities_category · string[]

data on brand entities relevant to the target array of objects containing data on brand entity categories that appear in search results related to LLM queries

tasks.result.total.brand_entities_category.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.total.brand_entities_category.impressions · integer

current AI impressions rate of a keyword

tasks.result.total.brand_entities_category.key · string

grouping identifier the specific identifier for the grouping dimension in this case the field displays a found brand entity category

tasks.result.total.brand_entities_category.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain

tasks.result.total.brand_entities_category.type · string

type of the element = 'group_element'

tasks.result.total.brand_entities_title · string[]

data on brand entities relevant to the target array of objects containing data on brand entity titles that appear in search results related to LLM queries

tasks.result.total.brand_entities_title.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.total.brand_entities_title.impressions · integer

current AI impressions rate of a keyword

tasks.result.total.brand_entities_title.key · string

grouping identifier the specific identifier for the grouping dimension in this case the field displays a found brand entity title

tasks.result.total.brand_entities_title.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain

tasks.result.total.brand_entities_title.type · string

type of the element = 'group_element'

tasks.result.total.language · string[]

language-based grouping array of objects containing mention metrics segmented by content language

tasks.result.total.language.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.total.language.impressions · integer

current AI impressions rate of a keyword

tasks.result.total.language.key · string

grouping identifier the specific identifier for the grouping dimension

tasks.result.total.language.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to this specific grouping key

tasks.result.total.language.type · string

type of the element = 'group_element'

tasks.result.total.location · string[]

location-based grouping array of objects containing mention metrics segmented by geographical location

tasks.result.total.location.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.total.location.impressions · integer

current AI impressions rate of a keyword

tasks.result.total.location.key · string

grouping identifier the specific identifier for the grouping dimension

tasks.result.total.location.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to this specific grouping key

tasks.result.total.location.type · string

type of the element = 'group_element'

tasks.result.total.platform · string[]

platform-based grouping array of group elements containing mention metrics segmented by AI platform

tasks.result.total.platform.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.total.platform.impressions · integer

current AI impressions rate of a keyword

tasks.result.total.platform.key · string

grouping identifier the specific identifier for the grouping dimension

tasks.result.total.platform.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to this specific grouping key

tasks.result.total.platform.type · string

type of the element = 'group_element'

tasks.result.total.search_results_domain · string[]

found top search results domains relevant to the target array of objects containing data on top domains that appear in search results related to LLM queries

tasks.result.total.search_results_domain.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.total.search_results_domain.impressions · integer

current AI impressions rate of a keyword

tasks.result.total.search_results_domain.key · string

grouping identifier the specific identifier for the grouping dimension in this case the field displays a found domain name

tasks.result.total.search_results_domain.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain

tasks.result.total.search_results_domain.type · string

type of the element = 'group_element'

tasks.result.total.sources_domain · string[]

found top source domains relevant to the target array of objects containing data on top domains that are cited as sources in LLM responses

tasks.result.total.sources_domain.ai_search_volume · integer

current AI search volume rate of a keyword learn more about this metric here

tasks.result.total.sources_domain.impressions · integer

current AI impressions rate of a keyword

tasks.result.total.sources_domain.key · string

grouping identifier the specific identifier for the grouping dimension in this case the field displays a found domain name

tasks.result.total.sources_domain.mentions · integer

total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain

tasks.result.total.sources_domain.type · string

type of the element = 'group_element'

tasks.result_count · integer

number of elements in the result array

tasks.status_code · integer

status code of the task generated by DataForSEO; can be within the following range: 10000-60000 you can find the full list of the response codes here

tasks.status_message · string

informational message of the task you can find the full list of general informational messages here

tasks.time · string

execution time, seconds

tasks_count · integer

the number of tasks in the tasks array

tasks_error · integer

the number of tasks in the tasks array returned with an error

time · string

execution time, seconds

version · string

the current version of the API