{"id":21901,"date":"2025-07-25T14:35:35","date_gmt":"2025-07-25T14:35:35","guid":{"rendered":"https:\/\/docs.dataforseo.com\/v3\/?page_id=21901"},"modified":"2026-02-09T14:13:25","modified_gmt":"2026-02-09T14:13:25","slug":"ai_optimization-llm_responses-overview","status":"publish","type":"page","link":"https:\/\/docs.dataforseo.com\/v3\/ai_optimization-llm_responses-overview\/","title":{"rendered":"ai_optimization\/llm_responses\/overview"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text]<\/p>\n

LLM Responses API: Overview<\/h1>\n
\n \"checked\"\n\n This API is the ultimate source of data for AI search optimization <\/div>\n \n

LLM Responses API provides data for conversational search optimization. You can use it to analyze how different large language models (LLMs) respond to queries about your brand, competitors, or any other target keywords and topics.<\/p>\n

Currently, you can collect LLM Responses from the following large language models:<\/p>\n

\u2022 ChatGPT<\/a>
\n\u2022 Claude<\/a>
\n\u2022 Gemini<\/a>
\n\u2022 Perplexity<\/a> <\/p>\n

For each supported LLM, you can use a dedicated Models<\/strong> endpoint to select specific versions for testing.<\/p>\n

\u2022 ChatGPT Models<\/a>
\n\u2022 Claude Models<\/a>
\n\u2022 Gemini Models<\/a>
\n\u2022 Perplexity Models<\/a> <\/p>\n

To find answers on common questions about DataForSEO APIs and find guidance on most efficient use, visit our Help Center.<\/a><\/p>\n

Methods<\/h3>\n

 
\nThe cost of using LLM Responses API endpoints depends on the selected method and priority of task execution. Available methods and priorities are described below.<\/p>\n

DataForSEO has two main methods to deliver the results: Standard and Live.<\/p>\n

If your system requires delivering instant results, the Live method<\/strong> is the best solution for you. Unlike the Standard method, this method doesn\u2019t require making separate POST and GET requests to the corresponding endpoints.<\/p>\n

If you don\u2019t need to receive data in real-time, you can use the Standard method<\/strong> of data retrieval. This method requires making separate POST and GET requests, but it\u2019s more affordable. Using this method, you can retrieve the results after our system collects them.<\/p>\n

\u200cAlternatively, you can specify pingback_url<\/code> or postback_url<\/code> when setting a task, and we will notify you on completion of tasks or send them to you respectively.<\/p>\n

If you need to set several tasks, you can receive the list of id for all completed tasks using \u2018Tasks Ready\u2019<\/strong> endpoint, and then collect the results of each separate task using \u2018Task GET\u2019 endpoint.<\/p>\n

ChatGPT<\/strong>, Gemini<\/strong> and Claude<\/strong> in LLM Responses API support both Standard and Live methods.<\/p>\n

Perplexity<\/strong> in LLM Responses API supports only the Live method of data retrieval. <\/p>\n

You can send up to 2000 API calls per minute. Contact us if you would like to raise the limit. Note that the maximum number of Live requests that can be sent simultaneously is limited to 30 per account for each platform in the LLM Responses.<\/p>\n

Cost<\/h3>\n

 
\nThe cost can be calculated on the Pricing<\/a> page. You can check your spending in your account dashboard<\/a> or by making a separate call to the User Data endpoint<\/a><\/p>\n

You can test LLM Responses API for free using DataForSEO Sandbox.<\/a>
\n[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n

Instead of \u2018login\u2019 and \u2018password\u2019 use your credentials from https:\/\/app.dataforseo.com\/api-access<\/p><\/blockquote><\/div>","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][vc_column_text] LLM Responses API: Overview This API is the ultimate source of data for AI search optimization LLM Responses API provides data for conversational search optimization. You can use it to analyze how different large language models (LLMs) respond to queries about your brand, competitors, or any other target keywords and topics. Currently, you can […]<\/p>\n","protected":false},"author":17,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template.php","meta":{"apibase_doc_request_yaml":"","apibase_doc_request_additional_yaml":"","apibase_doc_response_yaml":"","footnotes":""},"class_list":["post-21901","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/pages\/21901","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/comments?post=21901"}],"version-history":[{"count":14,"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/pages\/21901\/revisions"}],"predecessor-version":[{"id":23845,"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/pages\/21901\/revisions\/23845"}],"wp:attachment":[{"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/media?parent=21901"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}