Llm Mentions Multi Target Metrics Live
/ai_optimization_llm_mentions_multi_target_metrics_live Live LLM Mentions Multi-Target Metrics endpoint provides aggregated metrics grouped by custom keys for mentions of the keywords or domains specified in the target array of the request. Each item in the results array corresponds to the specified target. The results are specific to the selected platform (google for Google’s AI Overview or chat_gpt for ChatGPT), location and language parameters (see the List of Locations & Languages).
- Finished calls, last 7 days
- 0
Cancellations excluded. Execution times cover successful calls.
Use it with your agent
Set up https://www.agentrouter.to/SKILL.md, then use DataForSEO’s /ai_optimization_llm_mentions_multi_target_metrics_live endpoint through AgentRouter.
Inputs
targetsOptional- array
location_nameOptional- 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_codeOptional- 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_nameOptional- 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_codeOptional- 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 only
platformOptional- target platform optional field possible values: chat_gpt , google default value: google Note: if the platform is not specified, the data is returned for both platforms Note #2: chat_gpt data is available for the United States and English only
filtersOptional- array of results filtering parameters optional field 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.
initial_dataset_filtersOptional- 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.
order_byOptional- results sorting rules optional field you can use the same values as in the filters array to sort the results possible sorting types: asc - results will be sorted in the ascending order desc - results will be sorted in the descending order you should use a comma to set up a sorting type example: ["ai_search_volume,desc"] Note: you can set no more than three sorting rules in a single request you should use a comma to separate several sorting rules
limitRequired- the maximum number of returned objects optional field default value: 100 maximum value: 1000
offsetOptional- offset in the results array of the returned mentions data optional field default value: 0 example: if you specify the 10 value, the first ten mentions objects in the results array will be omitted and the data will be provided for the successive objects; Note: the maximum value is 1000000 , use the search_after_token if you would like to offset more results
internal_list_limitRequired- 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
Example input
{
"language_code": "en",
"location_code": 2840,
"platform": "google",
"targets": [
{
"key": "chat_gpt",
"target": [
{
"keyword": "chat gpt"
}
]
},
{
"key": "claude",
"target": [
{
"keyword": "claude"
}
]
},
{
"key": "gemini",
"target": [
{
"keyword": "gemini"
}
]
},
{
"key": "perplexity",
"target": [
{
"keyword": "perplexity",
"search_filter": "include"
}
]
}
],
"initial_dataset_filters": [
[
"ai_search_volume",
">",
10
]
],
"internal_list_limit": 1,
"limit": 10
}Output
Native task result envelope; includes items, aggregates and pagination where supported.