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POST
Reference example
How often assistants mention your target, as totals rather than individual answers: total and items. Measured at 7.0 KB. ⚠️ 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. This is the headline visibility number; post_dataforseo_ai_llm_mentions_search_live shows the answers behind it, and post_dataforseo_ai_llm_mentions_cross_metrics_live compares several targets at once.

Example

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Cost and request rules

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
target
object[]
required

array of objects containing target entities required field you can specify up to 10 entities (objects) in the target field one target entity can contain either one domain or one keyword and related parametersexamples: target array with a domain entity [{"domain": "en.wikipedia.org", "search_filter": "exclude"}] target array with a keyword entity [{"keyword": "bmw", "search_scope": ["question"], "match_type ": "partial_match"}] target array with multiple entities [{"domain": "en.wikipedia.org", "search_filter": "exclude"}, {"keyword": "bmw", "match_type ": "partial_match", "search_scope": ["answer"]}]

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

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

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

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

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

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: 20 default value: 10

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

Successful response

version
string

the current version of the API

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

time
string

execution time, seconds

cost
number

total tasks cost, USD

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

tasks
string[]

array of tasks

tasks.id
string

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

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.cost
number

cost of the task, USD

tasks.result_count
integer

number of elements in the result array

tasks.path
string[]

URL path

tasks.data
object

contains the same parameters that you specified in the POST request

tasks.result
string[]

array of results

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.location
string[]

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

tasks.result.total.location.type
string

type of the element = 'group_element'

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.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.language
string[]

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

tasks.result.total.language.type
string

type of the element = 'group_element'

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.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.platform
string[]

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

tasks.result.total.platform.type
string

type of the element = 'group_element'

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.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.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.type
string

type of the element = 'group_element'

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.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.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.type
string

type of the element = 'group_element'

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.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.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.type
string

type of the element = 'group_element'

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.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_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.type
string

type of the element = 'group_element'

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.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.items
string[]

individual pages results array containing detailed mention metrics for each of the found top pages in this case, equals null