{"id":23649,"date":"2026-01-22T15:35:33","date_gmt":"2026-01-22T15:35:33","guid":{"rendered":"https:\/\/docs.dataforseo.com\/v3\/?page_id=23649"},"modified":"2026-02-24T14:25:04","modified_gmt":"2026-02-24T14:25:04","slug":"ai_optimization-gemini-llm_responses-overview","status":"publish","type":"page","link":"https:\/\/docs.dataforseo.com\/v3\/ai_optimization-gemini-llm_responses-overview\/","title":{"rendered":"ai_optimization\/gemini\/llm_responses\/overview"},"content":{"rendered":"

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

Gemini LLM Responses: Overview<\/h1>\n
\n \"checked\"\n\n This API allows you to generate and retrieve structured Gemini responses <\/div>\n \n

Gemini LLM Responses API enables generation of structured responses from Gemini, based on your specified input parameters. You can use this API to discover how Gemini responds to queries about your brand, product, competitors, or any other target keywords and topics.<\/p>\n

The endpoints of this API include:<\/p>\n

\u2022 Gemini LLM Responses endpoint<\/a> retrieves structured responses from a specific Gemini AI model, based on your input parameters. <\/p>\n

\u2022 Gemini Models LLM Responses endpoint<\/a> provides a list of available Gemini AI models you can use with Gemini LLM Responses endpoint.<\/p>\n

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

Methods<\/h3>\n

 
\nThe cost of using Gemini LLM Responses API 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<\/strong> endpoint.<\/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<\/strong> per account for each platform in the LLM Responses.<\/p>\n

Execution time for tasks set using the Live method<\/a> is currently up to 120 seconds<\/strong>. Tasks set using the Standard method<\/a> may take up to 72 hours to complete<\/strong>. <\/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 Gemini LLM Responses API for free using DataForSEO Sandbox.<\/a>
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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] Gemini LLM Responses: Overview This API allows you to generate and retrieve structured Gemini responses Gemini LLM Responses API enables generation of structured responses from Gemini, based on your specified input parameters. You can use this API to discover how Gemini responds to queries about your brand, product, competitors, or any other target keywords […]<\/p>\n","protected":false},"author":14,"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-23649","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/pages\/23649","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\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/comments?post=23649"}],"version-history":[{"count":4,"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/pages\/23649\/revisions"}],"predecessor-version":[{"id":23980,"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/pages\/23649\/revisions\/23980"}],"wp:attachment":[{"href":"https:\/\/docs.dataforseo.com\/v3\/wp-json\/wp\/v2\/media?parent=23649"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}