Filters for AI Optimization LLM Mentions API

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Here you will find all the necessary information about filters that can be used with AI Optimization LLM Mentions API endpoints.

Please, keep in mind that filters are associated with a certain object in the result array, and should be specified accordingly.

We recommend learning more about how to use filters in this Help Center article.

Note that it is not possible to use the following types of fields as sorting rules in order_by: array.str, array.num.

Pricing

Your account will not be charged for using this API

checked GET

You will receive the full list of filters by calling this API. You can also download the full list of possible filters by this link.

‌‌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.

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
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 parameters passed in the URL of the GET request
        result array array of results
contains the full list of available parameters that can be used for data filtration
the parameters are grouped by the endpoint they can be used with

 
Below you will find a detailed description of the structure that should be used to specify filters when setting tasks with AI Optimization LLM Mentions API. You will also find the types of parameters that can be used with each endpoint, and examples of pre-made filters.

Description of the fields:

Field name Type Description
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
filters have the following structure:
[$item_array.$results_array.$parameter_field, $filter_operator, $filter_value]
you should use the . and , symbols as separators
example:
["ai_search_volume", ">=", 1000]
        $item_array str item name in the filter
optional field
possible values:
keyword_data, ranked_serp_element
        $results_array str results array in the filter
optional field
possible values:
keyword, keyword_info, check_url, se_results_count, serp_item, metrics
        $parameter_field str parameter field in the filter
optional field
required field if the filter is applied
the parameter in the superordinate $results_array or item_array
represents the field you want to filter the results by
        $filter_operator str operator in the filter
optional field
required field if the filter is applied
available filter operators:
• if num: <, <=, >, >=, =, <>, in, not_in
• if str: match, not_match, like, not_like, ilike, not_ilike, in, not_in, =, <>, regex, not_regex

if you specify in or not_in operator, the $filter_value should be specified as an array
example:
["ai_search_volume","in",[10,1000]]

regex and not_regex operators can be specified with string values using the RE2 regex syntax;
Note: the maximum limit for the number of characters you can specify in regex and not_regex is 1000;
example:
string contains keywords: ["language_code", "regex", "(how|what|when)"]
string does not contain keywords: ["language_code", "not_regex", "(how|what|when)"]

like and not_like operators require adding % symbol to get accurate results
example:
["keyword_data.keyword", "like", "%seo%"] return keyword_data items that contain “seo” in the keyword field
["keyword_data.keyword", "not_like", "%seo%"] do not return keyword_data items that contain “seo” in the keyword field

match and not_match are full-text search operators that work with string values
example:
["keyword", "not_match", "camera"] return keywords that do not contain the “camera” word
["keyword", "match", "phone"] return keywords that contain the “phone” word

        $filter_value num
str
bool
time		 filtering value
optional field
required field if the filter is applied

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The list of available filtration parameters:

{
  "version": "0.1.20250828",
  "status_code": 20000,
  "status_message": "Ok.",
  "time": "0.0625 sec.",
  "cost": 0,
  "tasks_count": 1,
  "tasks_error": 0,
  "tasks": [
    {
      "id": "09051436-8284-0640-0000-69f363129d79",
      "status_code": 20000,
      "status_message": "Ok.",
      "time": "0 sec.",
      "cost": 0,
      "result_count": 1,
      "path": [
        "v3",
        "ai_optimization",
        "llm_mentions",
        "available_filters"
      ],
      "data": {
        "api": "ai_optimization",
        "function": "available_filters"
      },
      "result": [
        {
          "search": {
            "platform": "str",
            "location_code": "num",
            "language_code": "str",
            "ai_search_volume": "num"
          }
        }
      ]
    }
  ]
}