ai_optimization/llm_mentions/multi_target_metrics/live

Live 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).

POST

The cost of the task can be calculated on the Pricing page.

All POST data should be sent in the JSON format (UTF-8 encoding). The task setting is done using the POST method. When setting a task, you should send all task parameters in the task array of the generic POST array. You can send up to 2000 API calls per minute, each Live LLM Mentions API call can contain only one task.

Execution time for tasks set with the Live LLM Mentions endpoint is currently up to 120 seconds.

Below you will find a detailed description of the fields you can use for setting a task.

Field name	Type	Description
`targets`	array	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 `key`; example of a `targets` array with multiple entities: `[{"key":"bmw","target":[{"domain":"en.wikipedia.org","search_filter":"exclude"},{"keyword":"m5","match_type":"partial_match","search_scope":["answer"]}]},{"key":"mercedes","target":[{"domain":"www.mercedes-benz.com","search_filter":"exclude"},{"keyword":"GLC","match_type":"word_match"}]}]` Note: requests must include at least one `domain_entity` or `keyword_entity` with `"search_filter": "include"`
`key`	string	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 `key` field
`target`	array	array of objects containing target entities required field a single `target` can contain up to 10 `domain` and/or `keyword` entities
`domain_entity`	object	domain entity in the target array example: `{"domain": "en.wikipedia.org", "search_filter": "exclude", "search_scope": ["sources"]}`
`domain`	string	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.`
`search_filter`	string	target domain search filter optional field possible values: `include`, `exclude` default value: `include`
`search_scope`	array	target domain search scope optional field possible values: `any`, `sources`, `search_results` default value: `any`
`include_subdomains`	boolean	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`
`keyword_entity`	object	keyword entity in the target array example: `{"keyword": "bmw", "search_filter": "include", "search_scope": ["question"], "match_type ": "partial_match"}`
`keyword`	string	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
`search_filter`	string	target keyword search filter optional field possible values: `include`, `exclude` default value: `include`
`search_scope`	array	target keyword search scope optional field possible values: `any`, `question`, `answer`, `brand_entities`, `fan_out_queries` default value: `any`
`match_type`	string	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`
`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` only
`platform`	string	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
`filters`	array	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_filters`	array	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_by`	array	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
`limit`	integer	the maximum number of returned objects optional field default value: `100` maximum value: `1000`
`offset`	integer	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_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`
`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

‌
‌‌As a response of the API server, you will receive JSON-encoded data containing a tasks array with the information specific to the set tasks.
‌
Description of the fields in the results array:

Field name	Type	Description
`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`	float	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`	array	array of tasks
`id`	string	task identifier unique task identifier in our system in the UUID format
`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
`status_message`	string	informational message of the task you can find the full list of general informational messages here
`time`	string	execution time, seconds
`cost`	float	cost of the task, USD
`result_count`	integer	number of elements in the `result` array
`path`	array	URL path
`data`	object	contains the same parameters that you specified in the POST request
`result`	array	array of results
`total_count`	integer	total number of results
`offset`	integer	offset in the results array of the returned mentions data `offset` specified in the request
`items_count`	integer	number of items in the results array
`aggregated_metrics`	object	aggregated mentions metrics summary contains overall aggregated LLM mention metrics across all LLM mentions that match at least one target specified in the request
`location`	array	location-based grouping array of objects containing mention metrics segmented by geographical location
`key`	integer	grouping key the specific identifier for the group dimension
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to this specific grouping key
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`language`	array	language-based grouping array of objects containing mention metrics segmented by content language
`key`	string	aggregation key the specific identifier for the grouping dimension
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to this specific aggregation key
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`platform`	array	platform-based grouping array of group elements containing mention metrics segmented by AI platform
`key`	string	aggregation key the specific identifier for the grouping dimension
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to this specific aggregation key
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`sources_domain`	array	found top source domains relevant to the target array of objects containing data on top domains that are cited as sources in LLM responses learn more about the sources and how to retrieve LLM citation data at our Help Center
`key`	string	aggregation key the specific identifier for the grouping dimension in this case the field displays a found domain name
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`search_results_domain`	array	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
`key`	string	aggregation key the specific identifier for the grouping dimension in this case the field displays a found domain name
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`brand_entities_title`	array	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
`key`	string	aggregation key the specific identifier for the grouping dimension in this case the field displays a found brand entity title
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific brand
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`brand_entities_category`	array	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
`key`	string	aggregation key the specific identifier for the grouping dimension in this case the field displays a found brand entity category
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific brand
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`total`	object	data on total mentions and search volume for the target
`items`	array	contains relevant mentions data
`key`	string	aggregation key received in a POST array
`location`	array	location-based aggregation array of objects containing mention metrics segmented by geographical location
`key`	string	aggregation key location code
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to this specific aggregation key
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`language`	array	language-based grouping array of objects containing mention metrics segmented by content language
`key`	string	aggregation key language code
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to this specific aggregation key
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`platform`	array	platform-based grouping array of group elements containing mention metrics segmented by AI platform
`key`	string	aggregation key platform name possible values: `chat_gpt`, `google`
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to this specific aggregation key
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`sources_domain`	array	found top source domains relevant to the target array of objects containing data on top domains that are cited as sources in LLM responses learn more about the sources and how to retrieve LLM citation data at our Help Center
`key`	string	grouping identifier the specific identifier for the grouping dimension in this case the field displays a found domain name
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`search_results_domain`	array	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
`key`	string	grouping identifier the specific identifier for the grouping dimension in this case the field displays a found domain name
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`brand_entities_title`	array	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
`key`	string	grouping identifier the specific identifier for the grouping dimension in this case the field displays a found brand entity title
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`brand_entities_category`	array	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
`key`	string	grouping identifier the specific identifier for the grouping dimension in this case the field displays a found brand entity category
`mentions`	integer	total LLM mentions count the number of times the target keyword or domain were mentioned in relation to the specific domain
`ai_search_volume`	integer	current AI search volume rate of a keyword learn more about this metric here
`total`	object	data on total mentions and AI search volume rate across all items array of objects containing data on search results related to LLM queries

‌‌

Instead of ‘login’ and ‘password’ use your credentials from https://app.dataforseo.com/api-access

# Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-access 
login="login" 
password="password" 
cred="$(printf ${login}:${password} | base64)" 
curl --location --request POST "https://api.dataforseo.com/v3/ai_optimization/llm_mentions/multi_target_metrics/live" 
--header "Authorization: Basic ${cred}"  
--header "Content-Type: application/json" 
--data-raw '[
    {
        "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": 5
    }
]'

<?php

/**
 * Method: POST
 * Endpoint: https://api.dataforseo.com/v3/ai_optimization/llm_mentions/multi_target_metrics/live
 * @see https://docs.dataforseo.com/v3/ai_optimization/llm_mentions/multi_target_metrics/live
 */

require_once __DIR__ . '/../../../../../lib/RestClient.php';
$config = require __DIR__ . '/../../../../../lib/config.php';

$client = new RestClient($config['base_url'], null, $config['login'], $config['password']);

$data = [
    [
        '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' => 5,
    ],
];
try {
    $result = $client->post('/v3/ai_optimization/llm_mentions/multi_target_metrics/live', $data);
    print_r($result);
    // do something with post result
} catch (RestClientException $e) {
    printf(
        "HTTP code: %dnError code: %dnMessage: %snTrace: %sn",
        $e->getHttpCode(),
        $e->getCode(),
        $e->getMessage(),
        $e->getTraceAsString()
    );
}
?>

const axios = require('axios');

axios({
    method: 'post',
    url: 'https://api.dataforseo.com/v3/ai_optimization/llm_mentions/multi_target_metrics/live',
    auth: {
        username: 'login',
        password: 'password'
    },
    data: [    {
      "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": 5
    }],
    headers: {
        'content-type': 'application/json'
    }
}).then(function (response) {
    var result = response['data']['tasks'];
    // Result data
    console.log(result);
}).catch(function (error) {
    console.log(error);
});

"""
Method: POST
Endpoint: https://api.dataforseo.com/v3/ai_optimization/llm_mentions/multi_target_metrics/live
@see https://docs.dataforseo.com/v3/ai_optimization/llm_mentions/multi_target_metrics/live
"""

import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '../../../../../')))
from lib.client import RestClient
from lib.config import username, password
client = RestClient(username, password)

post_data = []
post_data.append({
        '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': 5
    })
try:
    response = client.post('/v3/ai_optimization/llm_mentions/multi_target_metrics/live', post_data)
    print(response)
    # do something with post result
except Exception as e:
    print(f'An error occurred: {e}')

/// <summary>
    /// Method: POST
    /// Endpoint: https://api.dataforseo.com/v3/ai_optimization/llm_mentions/multi_target_metrics/live
    /// </summary>
    /// <see href="https://docs.dataforseo.com/v3/ai_optimization/llm_mentions/multi_target_metrics/live"/>
    
    public static async Task LlmMentionsCrossAggregatedMetricsLive()
    {
        var postData = new List<object>();
        // a simple way to set a task, the full list of possible parameters is available in documentation
        postData.Add(new
        {
            language_code = "en",
            location_code = 2840,
            platform = "google",
            targets = new object[]
            {
                new
                {
                    key = "chat_gpt",
                    target = new object[]
                    {
                        new
                        {
                            keyword = "chat gpt"
                        }
                    }
                },
                new
                {
                    key = "claude",
                    target = new object[]
                    {
                        new
                        {
                            keyword = "claude"
                        }
                    }
                },
                new
                {
                    key = "gemini",
                    target = new object[]
                    {
                        new
                        {
                            keyword = "gemini"
                        }
                    }
                },
                new
                {
                    key = "perplexity",
                    target = new object[]
                    {
                        new
                        {
                            keyword = "perplexity",
                            search_filter = "include"
                        }
                    }
                }
            },
            initial_dataset_filters = new object[]
            {
                new object[]
                {
                    "ai_search_volume",
                    ">",
                    10
                }
            },
            internal_list_limit = 5
        });

        var content = new StringContent(JsonConvert.SerializeObject(postData), Encoding.UTF8, "application/json");
        using var response = await _httpClient.PostAsync("/v3/ai_optimization/llm_mentions/multi_target_metrics/live", content);
        var result = JsonConvert.DeserializeObject<dynamic>(await response.Content.ReadAsStringAsync());
        // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
        if (result.status_code == 20000)
        {
            // do something with result
            Console.WriteLine(result);
        }
        else
            Console.WriteLine($"error. Code: {result.status_code} Message: {result.status_message}");
    }

The above command returns JSON structured like this:

{
  "version": "0.1.20260610",
  "status_code": 20000,
  "status_message": "Ok.",
  "time": "1.5781 sec.",
  "cost": 0.101,
  "tasks_count": 1,
  "tasks_error": 0,
  "tasks": [
    {
      "id": "06111607-1535-0652-0000-ba6451ca5f68",
      "status_code": 20000,
      "status_message": "Ok.",
      "time": "1.5144 sec.",
      "cost": 0.101,
      "result_count": 1,
      "path": [
        "v3",
        "ai_optimization",
        "llm_mentions",
        "multi_target_metrics",
        "live"
      ],
      "data": {
        "api": "ai_optimization",
        "function": "multi_target_metrics",
        "targets": [
          {
            "key": "bmw",
            "target": [
              {
                "keyword": "bmw",
                "search_scope": [
                  "answer"
                ],
                "search_filter": "include"
              }
            ]
          },
          {
            "key": "audi",
            "target": [
              {
                "keyword": "audi",
                "search_scope": [
                  "answer"
                ],
                "search_filter": "include"
              }
            ]
          }
        ],
        "platform": "chat_gpt",
        "language_code": "en",
        "location_code": 2840,
        "order_by": [
          "total.mentions,desc"
        ],
        "limit": 5,
        "offset": 0,
        "internal_list_limit": 5
      },
      "result": [
        {
          "total_count": 2,
          "offset": 0,
          "items_count": 2,
          "aggregated_metrics": {
            "location": [
              {
                "key": 2840,
                "mentions": 66067,
                "ai_search_volume": 1688821
              }
            ],
            "language": [
              {
                "key": "en",
                "mentions": 66067,
                "ai_search_volume": 1688821
              }
            ],
            "platform": [
              {
                "key": "chat_gpt",
                "mentions": 66067,
                "ai_search_volume": 1688821
              }
            ],
            "sources_domain": [
              {
                "key": "www.reddit.com",
                "mentions": 7956,
                "ai_search_volume": 302076
              },
              {
                "key": "en.wikipedia.org",
                "mentions": 4617,
                "ai_search_volume": 110516
              },
              {
                "key": "www.kbb.com",
                "mentions": 3898,
                "ai_search_volume": 65131
              },
              {
                "key": "www.edmunds.com",
                "mentions": 3623,
                "ai_search_volume": 69262
              },
              {
                "key": "www.caranddriver.com",
                "mentions": 2627,
                "ai_search_volume": 77792
              }
            ],
            "search_results_domain": [
              {
                "key": "www.kbb.com",
                "mentions": 5924,
                "ai_search_volume": 139210
              },
              {
                "key": "www.edmunds.com",
                "mentions": 6214,
                "ai_search_volume": 141406
              },
              {
                "key": "www.caranddriver.com",
                "mentions": 4733,
                "ai_search_volume": 123817
              },
              {
                "key": "www.motortrend.com",
                "mentions": 4506,
                "ai_search_volume": 123404
              },
              {
                "key": "www.consumerreports.org",
                "mentions": 2938,
                "ai_search_volume": 91818
              }
            ],
            "brand_entities_title": [
              {
                "key": "BMW",
                "mentions": 972,
                "ai_search_volume": 15692
              },
              {
                "key": "Audi",
                "mentions": 486,
                "ai_search_volume": 5994
              },
              {
                "key": "German automaker",
                "mentions": 466,
                "ai_search_volume": 27079
              },
              {
                "key": "German luxury automaker",
                "mentions": 262,
                "ai_search_volume": 15537
              },
              {
                "key": "2026 model",
                "mentions": 169,
                "ai_search_volume": 6725
              }
            ],
            "brand_entities_category": [
              {
                "key": "vehicle",
                "mentions": 10218,
                "ai_search_volume": 459853
              },
              {
                "key": "company",
                "mentions": 2777,
                "ai_search_volume": 161033
              },
              {
                "key": "brand",
                "mentions": 2030,
                "ai_search_volume": 61355
              },
              {
                "key": "car",
                "mentions": 2213,
                "ai_search_volume": 14044
              },
              {
                "key": "product",
                "mentions": 866,
                "ai_search_volume": 25644
              }
            ],
            "total": {
              "mentions": 66067,
              "ai_search_volume": 1688821
            }
          },
          "items": [
            {
              "key": "bmw",
              "location": [
                {
                  "key": 2840,
                  "mentions": 52865,
                  "ai_search_volume": 1379278
                }
              ],
              "language": [
                {
                  "key": "en",
                  "mentions": 52865,
                  "ai_search_volume": 1379278
                }
              ],
              "platform": [
                {
                  "key": "chat_gpt",
                  "mentions": 52865,
                  "ai_search_volume": 1379278
                }
              ],
              "sources_domain": [
                {
                  "key": "www.reddit.com",
                  "mentions": 6472,
                  "ai_search_volume": 254492
                },
                {
                  "key": "en.wikipedia.org",
                  "mentions": 3688,
                  "ai_search_volume": 91540
                },
                {
                  "key": "www.kbb.com",
                  "mentions": 2947,
                  "ai_search_volume": 49887
                },
                {
                  "key": "www.edmunds.com",
                  "mentions": 2754,
                  "ai_search_volume": 56695
                },
                {
                  "key": "www.caranddriver.com",
                  "mentions": 2070,
                  "ai_search_volume": 64520
                }
              ],
              "search_results_domain": [
                {
                  "key": "www.kbb.com",
                  "mentions": 4605,
                  "ai_search_volume": 115323
                },
                {
                  "key": "www.edmunds.com",
                  "mentions": 4882,
                  "ai_search_volume": 117569
                },
                {
                  "key": "www.caranddriver.com",
                  "mentions": 3765,
                  "ai_search_volume": 102766
                },
                {
                  "key": "www.motortrend.com",
                  "mentions": 3570,
                  "ai_search_volume": 101148
                },
                {
                  "key": "www.consumerreports.org",
                  "mentions": 2328,
                  "ai_search_volume": 76270
                }
              ],
              "brand_entities_title": [
                {
                  "key": "BMW",
                  "mentions": 971,
                  "ai_search_volume": 15686
                },
                {
                  "key": "Audi",
                  "mentions": 176,
                  "ai_search_volume": 2537
                },
                {
                  "key": "German automaker",
                  "mentions": 389,
                  "ai_search_volume": 25198
                },
                {
                  "key": "German luxury automaker",
                  "mentions": 242,
                  "ai_search_volume": 14984
                },
                {
                  "key": "2026 model",
                  "mentions": 136,
                  "ai_search_volume": 5642
                }
              ],
              "brand_entities_category": [
                {
                  "key": "vehicle",
                  "mentions": 8298,
                  "ai_search_volume": 379068
                },
                {
                  "key": "company",
                  "mentions": 2283,
                  "ai_search_volume": 142762
                },
                {
                  "key": "brand",
                  "mentions": 1669,
                  "ai_search_volume": 57176
                },
                {
                  "key": "car",
                  "mentions": 1571,
                  "ai_search_volume": 10577
                },
                {
                  "key": "product",
                  "mentions": 740,
                  "ai_search_volume": 23131
                }
              ],
              "total": {
                "mentions": 52865,
                "ai_search_volume": 1379278
              }
            },
            {
              "key": "audi",
              "location": [
                {
                  "key": 2840,
                  "mentions": 27157,
                  "ai_search_volume": 649072
                }
              ],
              "language": [
                {
                  "key": "en",
                  "mentions": 27157,
                  "ai_search_volume": 649072
                }
              ],
              "platform": [
                {
                  "key": "chat_gpt",
                  "mentions": 27157,
                  "ai_search_volume": 649072
                }
              ],
              "sources_domain": [
                {
                  "key": "www.reddit.com",
                  "mentions": 3088,
                  "ai_search_volume": 102739
                },
                {
                  "key": "en.wikipedia.org",
                  "mentions": 1711,
                  "ai_search_volume": 38009
                },
                {
                  "key": "www.kbb.com",
                  "mentions": 1778,
                  "ai_search_volume": 29890
                },
                {
                  "key": "www.edmunds.com",
                  "mentions": 1744,
                  "ai_search_volume": 30309
                },
                {
                  "key": "www.caranddriver.com",
                  "mentions": 1277,
                  "ai_search_volume": 35190
                }
              ],
              "search_results_domain": [
                {
                  "key": "www.kbb.com",
                  "mentions": 2611,
                  "ai_search_volume": 53238
                },
                {
                  "key": "www.edmunds.com",
                  "mentions": 2755,
                  "ai_search_volume": 55694
                },
                {
                  "key": "www.caranddriver.com",
                  "mentions": 2073,
                  "ai_search_volume": 48030
                },
                {
                  "key": "www.motortrend.com",
                  "mentions": 1994,
                  "ai_search_volume": 53460
                },
                {
                  "key": "www.consumerreports.org",
                  "mentions": 1440,
                  "ai_search_volume": 40203
                }
              ],
              "brand_entities_title": [
                {
                  "key": "BMW",
                  "mentions": 180,
                  "ai_search_volume": 2353
                },
                {
                  "key": "Audi",
                  "mentions": 486,
                  "ai_search_volume": 5994
                },
                {
                  "key": "German automaker",
                  "mentions": 241,
                  "ai_search_volume": 9137
                },
                {
                  "key": "German luxury automaker",
                  "mentions": 162,
                  "ai_search_volume": 9929
                },
                {
                  "key": "2026 model",
                  "mentions": 63,
                  "ai_search_volume": 2786
                }
              ],
              "brand_entities_category": [
                {
                  "key": "vehicle",
                  "mentions": 4121,
                  "ai_search_volume": 162058
                },
                {
                  "key": "company",
                  "mentions": 1168,
                  "ai_search_volume": 50345
                },
                {
                  "key": "brand",
                  "mentions": 834,
                  "ai_search_volume": 29520
                },
                {
                  "key": "car",
                  "mentions": 838,
                  "ai_search_volume": 5423
                },
                {
                  "key": "product",
                  "mentions": 326,
                  "ai_search_volume": 8649
                }
              ],
              "total": {
                "mentions": 27157,
                "ai_search_volume": 649072
              }
            }
          ]
        }
      ]
    }
  ]
}