> ## Documentation Index > Fetch the complete documentation index at: https://aisa.one/docs/llms.txt > Use this file to discover all available pages before exploring further. # Live LLM Mentions > Live LLM Mentions Search endpoint provides mention data and related metrics from AI searches. ## OpenAPI ````yaml openapi/dataforseo.json POST /dataforseo/ai_optimization/llm_mentions/search/live openapi: 3.0.3 info: title: DataForSEO API version: 1.0.0 description: DataForSEO API endpoints exposed through the AIsa unified gateway. servers: - url: https://api.aisa.one/apis/v1 security: - BearerAuth: [] paths: /dataforseo/ai_optimization/llm_mentions/search/live: post: summary: Live LLM Mentions description: >- Live LLM Mentions Search endpoint provides mention data and related metrics from AI searches. The results are specific to the selected platform (`google` for Google’s AI Overview or `chat_gpt` for ChatGPT), as well as location and language parameters (see [the List of Locations & Languages](https://docs.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages.md)). operationId: post_dataforseo_ai_optimization_llm_mentions_search_live requestBody: required: true content: application/json: schema: type: object properties: target: type: array items: type: string description: >- 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 parametersexamples: 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"]}] domain_entity: type: object description: >- domain entity in the target array example: {"domain": "en.wikipedia.org", "search_filter": "exclude", "search_scope": ["sources"]} domain: type: string description: >- 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: type: string description: >- target keyword search filter optional field possible values: include, exclude default value: include search_scope: type: array items: type: string description: >- target keyword search scope optional field possible values: any, question, answer, brand_entities, fan_out_queries default value: any include_subdomains: type: boolean description: >- 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: type: object description: >- keyword entity in the target array example: {"keyword": "bmw", "search_filter": "include", "search_scope": ["question"], "match_type ": "partial_match"} keyword: type: string description: >- 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 match_type: type: string description: >- 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: type: string description: >- 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: type: integer description: >- 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: type: string description: >- 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: type: string description: >- 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 onlyn platform: type: string description: >- target platform optional field possible values: chat_gpt, google default value: google Note: the data returned depends on the selected platform Note #2:chat_gpt data is available for the United States and English only filters: type: array items: type: string description: >- 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. order_by: type: array items: type: string description: >- 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 that you can set no more than three sorting rules in a single request you should use a comma to separate several sorting rules offset: type: integer description: >- offset 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 successive objects; Note: the maximum value is 9,000, use the search_after_token if you would like to offset more results search_after_token: type: string description: >- token for subsequent requests optional field provided in the identical filed of the response to each request; use this parameter to avoid timeouts while trying to obtain over 20,000 results in a single request; by specifying the unique search_after_token value from the response array, you will get the subsequent results of the initial task; search_after_token values are unique for each subsequent task ; Note: if the search_after_token is specified in the request, all other parameters should be identical to the previous request limit: type: integer description: >- the maximum number of returned objects optional fielddefault value: 100 maximum value: 1000 tag: type: string description: >- 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 required: - target - domain - keyword responses: '200': description: Successful response content: application/json: schema: type: object properties: version: type: string description: the current version of the API status_code: type: integer description: >- 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: type: string description: >- general informational message you can find the full list of general informational messages here time: type: string description: execution time, seconds cost: type: number description: total tasks cost, USD tasks_count: type: integer description: the number of tasks in the tasks array tasks_error: type: integer description: >- the number of tasks in the tasks array returned with an error tasks: type: array items: type: string description: array of tasks tasks.id: type: string description: >- task identifier unique task identifier in our system in the UUID format tasks.status_code: type: integer description: >- 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 tasks.status_message: type: string description: >- informational message of the task you can find the full list of general informational messages here tasks.time: type: string description: execution time, seconds tasks.cost: type: number description: cost of the task, USD tasks.result_count: type: integer description: number of elements in the result array tasks.path: type: array items: type: string description: URL path tasks.data: type: object description: >- contains the same parameters that you specified in the POST request tasks.result: type: array items: type: string description: array of results tasks.result.total_count: type: integer description: total amount of results relevant the request tasks.result.current_offset: type: integer description: >- the number of mentions objects that are omitted in the items array tasks.result.search_after_token: type: string description: >- token for subsequent requests by specifying the unique search_after_token when setting a new task, you will get the subsequent results of the initial task; search_after_token values are unique for each subsequent task tasks.result.items_count: type: integer description: the number of results returned in the items array tasks.result.items: type: array items: type: string description: contains relevant mentions data tasks.result.items.platform: type: string description: platform received in a POST array tasks.result.items.model_name: type: string description: >- name of the AI model from which the data was retrieved Note: for the google platform type, the value is always google_ai_overview tasks.result.items.location_code: type: integer description: location code in a POST array tasks.result.items.language_code: type: string description: language code in a POST array tasks.result.items.question: type: string description: relevant question tasks.result.items.answer: type: string description: >- relevant answer in markdown format content of the result formatted in the markdown markup language tasks.result.items.sources: type: array items: type: string description: >- array of sources the sources the model cited or relied on in its final answer tasks.result.items.sources.snippet: type: string description: source description tasks.result.items.sources.source_name: type: string description: source name tasks.result.items.sources.thumbnail: type: string description: source thumbnail tasks.result.items.sources.markdown: type: string description: >- content of the element in markdown format content of the result formatted in the markdown markup language tasks.result.items.sources.position: type: integer description: position in the results tasks.result.items.sources.title: type: string description: source title tasks.result.items.sources.domain: type: string description: source domain tasks.result.items.sources.url: type: string description: source URL tasks.result.items.sources.publication_date: type: string description: >- date and time when the result was published in the format: “year-month-date:minutes:UTC_difference_hours:UTC_difference_minutes” example: 2019-11-15 12:57:46 +00:00 tasks.result.items.search_results: type: array items: type: string description: >- array of search results all web search outputs the model retrieved when looking up information, including duplicates and unused entries tasks.result.items.search_results.description: type: string description: result description tasks.result.items.search_results.breadcrumb: type: string description: breadcrumb tasks.result.items.search_results.position: type: integer description: position in the results tasks.result.items.search_results.title: type: string description: result title tasks.result.items.search_results.domain: type: string description: result domain tasks.result.items.search_results.url: type: string description: result URL tasks.result.items.search_results.publication_date: type: string description: >- date and time when the result was published in the format: “year-month-date:minutes:UTC_difference_hours:UTC_difference_minutes” example: 2019-11-15 12:57:46 +00:00 tasks.result.items.ai_search_volume: type: integer description: >- current AI search volume rate of a keyword learn more about this metric here tasks.result.items.monthly_searches: type: array items: type: string description: >- monthly AI search volume rates array of objects with AI search volume rates in a certain month of a year tasks.result.items.monthly_searches.year: type: integer description: year tasks.result.items.monthly_searches.month: type: integer description: month tasks.result.items.monthly_searches.search_volume: type: integer description: >- AI search volume rate in a certain month of a year learn more about this metric here tasks.result.items.first_response_at: type: string description: >- date and time when the response data was first recorded in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00” example: 2025-10-21 06:25:30 +00:00 tasks.result.items.last_response_at: type: string description: >- date and time when the response data was last updated in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00” example: 2025-10-21 06:25:30 +00:00 tasks.result.items.brand_entities: type: array items: type: string description: >- array of brand entities contains information on brands mentioned in the response tasks.result.items.brand_entities.position: type: integer description: position in the results tasks.result.items.brand_entities.title: type: string description: name of the brand tasks.result.items.brand_entities.category: type: string description: category of the brand tasks.result.items.fan_out_queries: type: array items: type: string description: >- array of fan-out queries contains related search queries derived from the main query to provide a more comprehensive response '400': description: Bad request '401': description: Unauthorized '429': description: Rate limit exceeded '500': description: Internal server error components: securitySchemes: BearerAuth: type: http scheme: bearer ````