Skip to content

DataForSEO

Ai Visibility Llm Mentions Multi Target Metrics

‌‌ 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).

Usage based DataForSEOSEOdataforseo/ai-optimization-llm-mentions-multi-target-metricsActive

Use this tool with your agent

Give this to your agent
Use my connected Agentik MCP server. I want to use the tool dataforseo/ai-optimization-llm-mentions-multi-target-metrics (Ai Visibility Llm Mentions Multi Target Metrics). Call inspect_tool with {"tool_id": "dataforseo/ai-optimization-llm-mentions-multi-target-metrics"} first and tell me the price before anything runs. Ask me for the inputs it needs; never invent values, IDs or file URLs. When I confirm, call run_tool with tool_id "dataforseo/ai-optimization-llm-mentions-multi-target-metrics" and my inputs, follow it with get_run if it is still running, and give me the result and the price Agentik reports. If the tool is unavailable, say so and use discover_tools to propose an alternative.
Show the prompt

Paste it into Claude, ChatGPT or Codex: your agent takes it from there, and shows the price before it runs.

Parameters

NameTypeRequiredDescription
targetsobject[]No
location_namestringNofull 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 loc
location_codeintegerNosearch 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
language_namestringNofull 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 lang
language_codestringNosearch 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://ap
platformstringNotarget 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
filtersany[]Noarray 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, no
initial_dataset_filtersany[]Noarray 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 filt
order_bystring[]Noresults 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 y
limitintegerNothe maximum number of returned objects optional fielddefault value: 100 maximum value: 1000
offsetintegerNooffset in the results array of the returned mentions data optional fielddefault 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 success
internal_list_limitintegerNomaximum 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
tagstringNouser-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

How your agent calls it

First inspect_tool for the current schema and price, then run_tool with the published example after confirming your inputs:

{
  "tool_id": "dataforseo/ai-optimization-llm-mentions-multi-target-metrics",
  "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"
          }
        ]
      }
    ],
    "initial_dataset_filters": [
      [
        "ai_search_volume",
        ">",
        10
      ]
    ],
    "internal_list_limit": 10,
    "limit": 10
  }
}

Price and billing

Price
Usage based
Model
Usage based
Detail
Billed at the cost the provider reports for the call, never above $100. Your agent sees the maximum before running.
  • The provider’s price, 0% markup.
  • One prepaid balance for every provider; your agent sees the price before it runs.
  • Pay for measured usage; unused reservations are released.