ai_optimization/llm_mentions/top_mentioned_brand_categories/live

Live LLM Mentions Top Mentioned Brand Categories

‌‌
Live LLM Mentions Top Mentioned Brand Categories endpoint provides aggregated LLM mentions metrics grouped by the most frequently mentioned brand categories for 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.

Description of the fields for setting a task:

Field name	Type	Description
`target`	array	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 parameters examples: 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"]}]` Note: requests must include at least one `domain_entity` or `keyword_entity` with `"search_filter": "include"`.
`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 `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 `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 optional field possible values: `word_match`, `partial_match` `word_match` - full-text search for terms that match the specified seed keyword with additional words included before, after, or within the seed key phrase. `partial_match` - searches for any occurrence of the keyword or its parts within the content 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` 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.
`limit`	integer	maximum number of results in the items array optional field you can use this parameter to limit the number of data objects you receive in the `items` array minimum value: `1` maximum value: `1000` default value: `100`
`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`, `brand_entities_title`, `brand_entities_category` minimum value: `1` maximum value: `10` default value: `5`
`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
`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`
`include_brand_categories`	array	array of brand_categories to include in the response optional field if specified, only the listed brand categories will be returned in the `items` array example: `"include_brand_categories": ["business"]`
`exclude_brand_categories`	array	array of brand categories to exclude from the response optional field if specified, the listed brand categories will be omitted from the `items` array example: `"exclude_brand_categories": ["business"]`
`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 amount of results relevant the request
`offset`	integer	the number of mentions objects that are omitted in the `items` array
`items_count`	integer	the number of results returned in the `items` array
`aggregated_metrics`	object	aggregated mentions metrics contains aggregated LLM mention metrics across all found brand categories, grouped by various dimensions
`location`	array	location-based grouping array of objects containing mention metrics segmented by geographical location
`key`	integer	grouping identifier 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 grouping key
`ai_search_volume`	integer	aggregated AI search volume for mentions within this grouping learn more about this metric here
`language`	array	language-based grouping array of objects containing mention metrics segmented by content language
`key`	string	grouping identifier 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 grouping key
`ai_search_volume`	integer	aggregated AI search volume for mentions within this grouping learn more about this metric here
`platform`	array	platform-based grouping array of group elements containing mention metrics segmented by AI platform
`key`	string	grouping identifier 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 grouping key
`ai_search_volume`	integer	aggregated AI search volume for mentions within this grouping 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	aggregated AI search volume for mentions within this grouping 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	aggregated AI search volume for mentions within this grouping 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	aggregated AI search volume for mentions within this grouping 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	aggregated AI search volume for mentions within this grouping learn more about this metric here
`total`	object	aggregated mentions metrics summary contains overall aggregated LLM mention metrics across all dimensions
`mentions`	integer	total LLM mentions count total number of mentions, relevant to the target
`ai_search_volume`	integer	total AI search volume rate total current AI search volume rate of all relevant mentions learn more about this metric here
`items`	array	individual brand categories results array containing detailed mention metrics for each of the found brand categories
`brand_category`	string	brand category brand category found in LLM mentions for the specified target
`location`	array	location-based grouping array of objects containing brand category mention metrics segmented by geographical location
`key`	integer	grouping identifier 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 grouping key
`ai_search_volume`	integer	aggregated AI search volume for mentions within this grouping learn more about this metric here
`language`	array	language-based grouping array of objects containing brand category mention metrics segmented by content language
`key`	string	grouping identifier 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 grouping key
`ai_search_volume`	integer	aggregated AI search volume for mentions within this grouping learn more about this metric here
`platform`	array	platform-based grouping array of group elements containing brand category mention metrics segmented by AI platform
`key`	string	grouping identifier 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 grouping key
`ai_search_volume`	integer	aggregated AI search volume for mentions within this grouping learn more about this metric here
`sources_domain`	array	source domains relevant to the specific top mentioned brand category array of objects containing data on 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	aggregated AI search volume for mentions within this grouping learn more about this metric here
`search_results_domain`	array	search results domains relevant to the specific top mentioned brand category array of objects containing data on 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	aggregated AI search volume for mentions within this grouping 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	aggregated AI search volume for mentions within this grouping learn more about this metric here
`total`	object	brand category mentions metrics summary contains summary of LLM mention metrics for the found brand category
`mentions`	integer	total LLM mentions count total number of mentions, relevant to the brand category
`ai_search_volume`	integer	total AI search volume rate total current AI search volume rate of all mentions, relevant to the brand category learn more about this metric here

‌‌

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/top_mentioned_brand_categories/live" 
--header "Authorization: Basic ${cred}"  
--header "Content-Type: application/json" 
--data-raw '[
  {
    "language_code": "en",
    "location_code": 2840,
    "platform": "chat_gpt",
    "target": [
      {
        "keyword": "bmw",
        "search_scope": [
          "answer"
        ]
      },
      {
        "keyword": "auto",
        "search_scope": [
          "question"
        ],
        "match_type": "partial_match"
      }
    ],
    "initial_dataset_filters": [
      [
        "ai_search_volume",
        ">",
        10
      ]
    ],
    "limit": 3,
    "internal_list_limit": 2
  }
]'

<?php

/**
 * Method: POST
 * Endpoint: https://api.dataforseo.com/v3/ai_optimization/llm_mentions/top_mentioned_brand_categories/live
 * @see https://docs.dataforseo.com/v3/ai_optimization/llm_mentions/top_mentioned_brand_categories/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' => 'chat_gpt',
        'target' => [
            [
                'keyword' => 'bmw',
                'search_scope' => [
                    'answer',
                ],
            ],
            [
                'keyword' => 'auto',
                'search_scope' => [
                    'question',
                ],
                'match_type' => 'partial_match',
            ],
        ],
        'initial_dataset_filters' => [
            [
                'ai_search_volume',
                '>',
                10,
            ],
        ],
        'limit' => 5,
        'internal_list_limit' => 2,
    ],
];
try {
    $result = $client->post('/v3/ai_optimization/llm_mentions/top_mentioned_brand_categories/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/top_mentioned_brand_categories/live',
    auth: {
        username: 'login',
        password: 'password'
    },
    data: [
        {
            "language_code": "en",
            "location_code": 2840,
            "platform": "chat_gpt",
            "target": [
                {
                    "keyword": "bmw",
                    "search_scope": [
                        "answer"
                    ]
                },
                {
                    "keyword": "auto",
                    "search_scope": [
                        "question"
                    ],
                    "match_type": "partial_match"
                }
            ],
            "initial_dataset_filters": [
                [
                    "ai_search_volume",
                    ">",
                    10
                ]
            ],
            "limit": 3,
            "internal_list_limit": 2
        }
    ],
    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/top_mentioned_brand_categories/live
@see https://docs.dataforseo.com/v3/ai_optimization/llm_mentions/top_mentioned_brand_categories/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': 'chat_gpt',
        'target': [
            {
                'keyword': 'bmw',
                'search_scope': [
                    'answer'
                ]
            },
            {
                'keyword': 'auto',
                'search_scope': [
                    'question'
                ],
                'match_type': 'partial_match'
            }
        ],
        'initial_dataset_filters': [
            [
                'ai_search_volume',
                '>',
                10
            ]
        ],
        'limit': 5,
        'internal_list_limit': 2
    })
try:
    response = client.post('/v3/ai_optimization/llm_mentions/top_mentioned_brand_categories/live', post_data)
    print(response)
    # do something with post result
except Exception as e:
    print(f'An error occurred: {e}')

using System;
using System.Linq;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Collections.Generic;
using System.Threading.Tasks;
using Newtonsoft.Json;
namespace DataForSeoSdk;

public class AiOptimization
{

    private static readonly HttpClient _httpClient;
    
    static AiOptimization()
    {
        _httpClient = new HttpClient
        {
            BaseAddress = new Uri("https://api.dataforseo.com/")
        };
        _httpClient.DefaultRequestHeaders.Authorization =
            new AuthenticationHeaderValue("Basic", ApiConfig.Base64Auth);
    }
    
    /// <summary>
    /// Method: POST
    /// Endpoint: https://api.dataforseo.com/v3/ai_optimization/llm_mentions/top_mentioned_brand_categories/live
    /// </summary>
    /// <see href="https://docs.dataforseo.com/v3/ai_optimization/llm_mentions/top_mentioned_brand_categories/live"/>
    
    public static async Task LlmMentionsTopDomainsLive()
    {
        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 = "chat_gpt",
            target = new object[]
            {
                new
                {
                    keyword = "bmw",
                    search_scope = new object[]
                    {
                        "answer"
                    }
                },
                new
                {
                    keyword = "auto",
                    search_scope = new object[]
                    {
                        "question"
                    },
                    match_type = "partial_match"
                }
            },
            initial_dataset_filters = new object[]
            {
                new object[]
                {
                    "ai_search_volume",
                    ">",
                    10
                }
            },
            limit = 5,
            internal_list_limit = 2
        });

        var content = new StringContent(JsonConvert.SerializeObject(postData), Encoding.UTF8, "application/json");
        using var response = await _httpClient.PostAsync("/v3/ai_optimization/llm_mentions/top_mentioned_brand_categories/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": "0.1.20251208",
  "status_code": 20000,
  "status_message": "Ok.",
  "time": "1.9150 sec.",
  "cost": 0.101,
  "tasks_count": 1,
  "tasks_error": 0,
  "tasks": [
    {
      "id": "12121250-1535-0637-0000-d0556baae1e5",
      "status_code": 20000,
      "status_message": "Ok.",
      "time": "1.8471 sec.",
      "cost": 0.101,
      "result_count": 1,
      "path": [
        "v3",
        "ai_optimization",
        "llm_mentions",
        "top_mentioned_brand_categories",
        "live"
      ],
      "data": {
        "api": "ai_optimization",
        "function": "top_mentioned_brand_categories",
        "language_code": "en",
        "location_code": 2840,
        "platform": "chat_gpt",
        "target": [
          {
            "keyword": "bmw",
            "search_scope": [
              "any"
            ]
          },
          {
            "keyword": "auto",
            "search_scope": [
              "any"
            ],
            "match_type": "partial_match"
          }
        ],
        "initial_dataset_filters": [
          [
            "ai_search_volume",
            ">",
            10
          ]
        ],
        "limit": 5,
        "internal_list_limit": 2
      },
      "result": [
        {
          "total_count": 5,
          "offset": 0,
          "items_count": 5,
          "aggregated_metrics": {
            "location": [
              {
                "key": "2840",
                "mentions": 2115,
                "ai_search_volume": 95412
              }
            ],
            "language": [
              {
                "key": "en",
                "mentions": 2115,
                "ai_search_volume": 95412
              }
            ],
            "platform": [
              {
                "key": "chat_gpt",
                "mentions": 2115,
                "ai_search_volume": 95412
              }
            ],
            "sources_domain": [
              {
                "key": "www.reddit.com",
                "mentions": 542,
                "ai_search_volume": 20395
              },
              {
                "key": "en.wikipedia.org",
                "mentions": 304,
                "ai_search_volume": 10579
              }
            ],
            "search_results_domain": [
              {
                "key": "www.bmwblog.com",
                "mentions": 261,
                "ai_search_volume": 11268
              },
              {
                "key": "www.edmunds.com",
                "mentions": 264,
                "ai_search_volume": 14945
              }
            ],
            "brand_entities_title": [
              {
                "key": "BMW",
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