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DataForSEO

Ai Visibility Gemini Llm Responses

‌‌ Live Gemini LLM Responses endpoint allows you to retrieve structured responses from a specific Gemini AI model, based on the input parameters.

Usage based DataForSEOSEOdataforseo/ai-optimization-gemini-llm-responsesActive

Use this tool with your agent

Give this to your agent
Use my connected Agentik MCP server. I want to use the tool dataforseo/ai-optimization-gemini-llm-responses (Ai Visibility Gemini Llm Responses). Call inspect_tool with {"tool_id": "dataforseo/ai-optimization-gemini-llm-responses"} first and tell me the price before anything runs. Ask me for the inputs it needs; never invent values, IDs or file URLs. When I confirm, call run_tool with tool_id "dataforseo/ai-optimization-gemini-llm-responses" and my inputs, follow it with get_run if it is still running, and give me the result and the price Agentik reports. If the tool is unavailable, say so and use discover_tools to propose an alternative.
Show the prompt

Paste it into Claude, ChatGPT or Codex: your agent takes it from there, and shows the price before it runs.

Parameters

NameTypeRequiredDescription
user_promptstringYesprompt for the AI model required field the question or task you want to send to the AI model; you can specify up to 500 characters in the user_prompt field
model_namestringYesname of the AI model required field model_nameconsists of the actual model name and version name; if the basic model name is specified, its latest version will be set by default; for example, if gemini-1.5-pro is specified, the gemini-1.5-p Options: gemini-2.5-flash-lite.
max_output_tokensintegerNomaximum number of tokens in the AI response optional field minimum value: 1 maximum value: 4096; default value: 2048; Note: if web_search is set to true or the reasoning model is specified in the request, the output token count may exceed t
temperaturenumberNorandomness of the AI response optional field higher values make output more diverse lower values make output more focused minimum value: 0 maximum value: 2 default value: 1.3
top_pnumberNodiversity of the AI response optional field controls diversity of the response by limiting token selection minimum value: 0 maximum value: 1 default value: 0.9
use_reasoningbooleanNoenable reasoning for the AI model optional field when enabled, the model will perform reasoning before generating a response refer to the Models endpoint for a list of models that support reasoning default value: false Note: if set to true,
tagstringNouser-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

How your agent calls it

First inspect_tool for the current schema and price, then run_tool with the published example after confirming your inputs:

{
  "tool_id": "dataforseo/ai-optimization-gemini-llm-responses",
  "input": {
    "max_output_tokens": 256,
    "temperature": 0.3,
    "top_p": 0.5,
    "model_name": "gemini-2.5-flash-lite",
    "user_prompt": "provide information on how relevant the amusement park business is in France now",
    "use_reasoning": false
  }
}

Price and billing

Price
Usage based
Model
Usage based
Detail
Billed at the cost the provider reports for the call, never above $100. Your agent sees the maximum before running.
  • The provider’s price, 0% markup.
  • One prepaid balance for every provider; your agent sees the price before it runs.
  • Pay for measured usage; unused reservations are released.