ai_optimization/gemini/llm_responses/live

Live 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.

POST

The cost of the task can be calculated on the Pricing page.

All POST data should be sent in the JSON format (UTF-8 encoding). The task setting is done using the POST method. When setting a task, you should send all task parameters in the task array of the generic POST array. You can send up to 2000 API calls per minute, each Live Gemini LLM Responses call can contain only one task.

The number of concurrent Live tasks is currently limited to 30 per account for each platform in the LLM Responses.

Execution time for tasks set with the Live Gemini LLM Responses endpoint is currently up to 120 seconds.

Below you will find a detailed description of the fields you can use for setting a task.

Description of the fields for setting a task:

Field name	Type	Description
`user_prompt`	string	prompt 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_name`	string	name of the AI model required field `model_name`consists 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-pro-002` will be set as `model_name` automatically; you can receive the list of available LLM models by making a separate request to the `https://api.dataforseo.com/v3/ai_optimization/gemini/llm_responses/models`
`max_output_tokens`	integer	maximum 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 the specified `max_output_tokens` limit Note #2: if `use_reasoning` is set to `true`, the minimum value for `max_output_tokens` is `1024`
`temperature`	float	randomness 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_p`	float	diversity 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`
`web_search`	boolean	enable web search for current information optional field when enabled, the AI model can access and cite current web information; Note: refer to the Models endpoint for a list of models that support `web_search`; default value: `false`; The cost of the parameter can be calculated on the Pricing page
`system_message`	string	instructions for the AI behavior optional field defines the AI's role, tone, or specific behavior you can specify up to 500 characters in the `system_message` field
`message_chain`	array	conversation history optional field array of message objects representing previous conversation turns; each object must contain `role` and `message` parameters: `role` string with either `user` or `ai` role; `message` string with message content (max 500 characters); you can specify the maximum of 10 message objects in the array; example: `"message_chain": [{"role":"user","message":"Hello, what’s up?"},{"role":"ai","message":"Hello! I’m doing well, thank you. How can I assist you today?"}]`
`use_reasoning`	boolean	enable 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`, the minimum value for `max_output_tokens` is `1024` Note #2: for Gemini Pro models, the `use_reasoning` will automatically be set to `true`
`tag`	string	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

‌
‌‌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.
‌
Description of the fields in the results array:

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 Note: we strongly recommend designing a necessary system for handling related exceptional or error conditions
`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 includes the base task price plus the `money_spent` value
`result_count`	integer	number of elements in the `result` array
`path`	array	URL path
`data`	object	contains the same parameters that you specified in the POST request
`result`	array	array of results
`model_name`	string	name of the AI model used
`input_tokens`	integer	number of tokens in the input total count of tokens processed
`output_tokens`	integer	number of tokens in the output total count of tokens generated in the AI response
`reasoning_tokens`	integer	number of reasoning tokens total count of tokens used to generate reasoning content
`web_search`	boolean	indicates if web search was used
`money_spent`	float	cost of AI tokens, USD the price charged by the third-party AI model provider for according to its Pricing
`datetime`	string	date and time when the result was received in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00” example: `2019-11-15 12:57:46 +00:00`
`items`	array	array of response items contains structured AI response data
`reasoning`	object	element in the response
`type`	string	type of the element = 'reasoning' Note: this element is supported only in reasoning models and is not guaranteed to be returned
`sections`	array	reasoning chain sections array of objects containing the reasoning chain sections generated by the LLM
`type`	string	type of element='summary_text'
`text`	string	text of the reasoning chain section text of the reasoning chain section summarizing the model's thought process
`message`	object	element in the response
`type`	string	type of the element = 'message'
`sections`	array	array of content sections contains different parts of the AI response
`type`	string	type of element='text'
`text`	string	AI-generated text content
`annotations`	array	array of references used to generate the response equals `null` if the `web_search` parameter is not set to `true` Note: `annotations` may return empty even when `web_search` is `true`, as the AI will attempt to retrieve web information but may not find relevant results
`title`	string	the domain name or title of the quoted source
`url`	string	redirect URL to the quoted source contains a Vertex AI redirect that leads to the original source
`start_index`	integer	start of the annotation indexing
`end_index`	integer	end of the annotation indexing
`text`	string	annotated part of the quoted source
`fan_out_queries`	array	array of fan-out queries contains related search queries derived from the main query to provide a more comprehensive response

‌‌

Instead of ‘login’ and ‘password’ use your credentials from https://app.dataforseo.com/api-access

# Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-access 
login="login" 
password="password" 
cred="$(printf ${login}:${password} | base64)" 
curl --location --request POST "https://api.dataforseo.com/v3/ai_optimization/gemini/llm_responses/live" 
--header "Authorization: Basic ${cred}"  
--header "Content-Type: application/json" 
--data-raw '[
  {
    "system_message": "communicate as if we are in a business meeting",
    "message_chain": [
      {
        "role": "user",
        "message": "Hello, what’s up?"
      },
      {
        "role": "ai",
        "message": "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?"
      }
    ],
    "max_output_tokens": 200,
    "temperature": 0.3,
    "top_p": 0.5,
    "model_name": "gemini-2.5-flash",
    "web_search": true,
    "user_prompt": "provide information on how relevant the amusement park business is in France now"
  }
]'

<?php
// You can download this file from here https://cdn.dataforseo.com/v3/examples/php/php_RestClient.zip
require('RestClient.php');
$api_url = 'https://api.dataforseo.com/';
try {
   // Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-access
   $client = new RestClient($api_url, null, 'login', 'password');
} catch (RestClientException $e) {
   echo "n";
   print "HTTP code: {$e->getHttpCode()}n";
   print "Error code: {$e->getCode()}n";
   print "Message: {$e->getMessage()}n";
   print  $e->getTraceAsString();
   echo "n";
   exit();
}
$post_array = array();
// You can set only one task at a time
$post_array[] = array(
        "system_message" => "communicate as if we are in a business meeting",
        "message_chain" => [
            [
                "role"    => "user",
                "message" => "Hello, what's up?"
            ],
            [
                "role"    => "ai",
                "message" => "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?"
            ]
        ],
        "max_output_tokens" => 200,
        "temperature" => 0.3,
        "top_p" => 0.5,
        "model_name" => "gemini-2.5-flash",
        "web_search" => true,
        "user_prompt" => "provide information on how relevant the amusement park business is in France now"
);
if (count($post_array) > 0) {
try {
    // POST /v3/ai_optimization/gemini/llm_responses/live
    // in addition to 'google' and 'ai_mode' you can also set other search engine and type parameters
    // the full list of possible parameters is available in documentation
    $result = $client->post('/v3/ai_optimization/gemini/llm_responses/live', $post_array);
    print_r($result);
    // do something with post result
} catch (RestClientException $e) {
    echo "n";
    print "HTTP code: {$e->getHttpCode()}n";
    print "Error code: {$e->getCode()}n";
    print "Message: {$e->getMessage()}n";
    print  $e->getTraceAsString();
    echo "n";
}
$client = null;
?>

const axios = require('axios');

axios({
    method: 'post',
    url: 'https://api.dataforseo.com/v3/ai_optimization/gemini/llm_responses/live',
    auth: {
        username: 'login',
        password: 'password'
    },
    data: [{
    system_message: encodeURI("communicate as if we are in a business meeting"),
    message_chain: [
      {
        role: "user",
        message: "Hello, what’s up?"
      },
      {
        role: "ai",
        message: encodeURI("Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?")
      }
    ],
    max_output_tokens: 200,
    temperature: 0.3,
    top_p: 0.5,
    model_name: "gemini-2.5-flash",
    web_search: true,
    user_prompt: encodeURI("provide information on how relevant the amusement park business is in France now")
    }],
    headers: {
        'content-type': 'application/json'
    }
}).then(function (response) {
    var result = response['data']['tasks'];
    // Result data
    console.log(result);
}).catch(function (error) {
    console.log(error);
});

"""
Method: POST
Endpoint: https://api.dataforseo.com/v3/ai_optimization/gemini/llm_responses/live
@see https://docs.dataforseo.com/v3/ai_optimization/gemini/llm_responses/live
"""

import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '../../../../../')))
from lib.client import RestClient
from lib.config import username, password
client = RestClient(username, password)

post_data = []
post_data.append({
        'system_message': 'communicate as if we are in a business meeting',
        'message_chain': [
            {
                'role': 'user',
                'message': 'Hello, what's up?'
            },
            {
                'role': 'ai',
                'message': 'Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?'
            }
        ],
        'max_output_tokens': 200,
        'temperature': 0.3,
        'top_p': 0.5,
        'model_name': 'gemini-2.5-flash',
        'web_search': True,
        'user_prompt': 'provide information on how relevant the amusement park business is in France now'
    })
try:
    response = client.post('/v3/ai_optimization/gemini/llm_responses/live', post_data)
    print(response)
    # do something with post result
except Exception as e:
    print(f'An error occurred: {e}')

using System;
using System.Linq;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Collections.Generic;
using System.Threading.Tasks;
using Newtonsoft.Json;
namespace DataForSeoSdk;

public class AiOptimization
{

    private static readonly HttpClient _httpClient;
    
    static AiOptimization()
    {
        _httpClient = new HttpClient
        {
            BaseAddress = new Uri("https://api.dataforseo.com/")
        };
        _httpClient.DefaultRequestHeaders.Authorization =
            new AuthenticationHeaderValue("Basic", ApiConfig.Base64Auth);
    }

    /// <summary>
    /// Method: POST
    /// Endpoint: https://api.dataforseo.com/v3/ai_optimization/gemini/llm_responses/live
    /// </summary>
    /// <see href="https://docs.dataforseo.com/v3/ai_optimization/gemini/llm_responses/live"/>
    
    public static async Task GeminiLlmResponsesLive()
    {
        var postData = new List<object>();
        // a simple way to set a task, the full list of possible parameters is available in documentation
        postData.Add(new
        {
            system_message = "communicate as if we are in a business meeting",
            message_chain = new object[]
            {
                new
                {
                    role = "user",
                    message = "Hello, what's up?"
                },
                new
                {
                    role = "ai",
                    message = "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?"
                }
            },
            max_output_tokens = 200,
            temperature = 0.3,
            top_p = 0.5,
            model_name = "gemini-2.5-flash",
            web_search = true,
            user_prompt = "provide information on how relevant the amusement park business is in France now"
        });

        var content = new StringContent(JsonConvert.SerializeObject(postData), Encoding.UTF8, "application/json");
        using var response = await _httpClient.PostAsync("/v3/ai_optimization/gemini/llm_responses/live", content);
        var result = JsonConvert.DeserializeObject<dynamic>(await response.Content.ReadAsStringAsync());
        // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
        if (result.status_code == 20000)
        {
            // do something with result
            Console.WriteLine(result);
        }
        else
            Console.WriteLine($"error. Code: {result.status_code} Message: {result.status_message}");
    }

The above command returns JSON structured like this:

{
  "version": "0.1.20260717",
  "status_code": 20000,
  "status_message": "Ok.",
  "time": "6.9528 sec.",
  "cost": 0.0378958,
  "tasks_count": 1,
  "tasks_error": 0,
  "tasks": [
    {
      "id": "07221711-1535-0612-0000-53c33fae76ff",
      "status_code": 20000,
      "status_message": "Ok.",
      "time": "6.8844 sec.",
      "cost": 0.0378958,
      "result_count": 1,
      "path": [
        "v3",
        "ai_optimization",
        "gemini",
        "llm_responses",
        "live"
      ],
      "data": {
        "api": "ai_optimization",
        "function": "llm_responses",
        "se": "gemini",
        "system_message": "communicate as if we are in a business meeting",
        "message_chain": [
          {
            "role": "user",
            "message": "Hello, what's up?"
          },
          {
            "role": "ai",
            "message": "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?"
          }
        ],
        "temperature": 0.3,
        "model_name": "gemini-2.5-flash",
        "top_p": 0.5,
        "web_search": true,
        "user_prompt": "provide information on how relevant the amusement park business is in France now"
      },
      "result": [
        {
          "model_name": "gemini-2.5-flash",
          "input_tokens": 186,
          "output_tokens": 896,
          "reasoning_tokens": 0,
          "web_search": true,
          "money_spent": 0.0372958,
          "datetime": "2026-07-22 17:11:08 +00:00",
          "items": [
            {
              "type": "message",
              "sections": [
                {
                  "type": "text",
                  "text": "The amusement park business in France is highly relevant and a significant contributor to both the French and European economies. Here's a breakdown of its current relevance:nn**1. Market Size and Growth:**n*   The French amusement parks market generated a revenue of USD 3,601.9 million in 2025 and is projected to reach USD 5,023.1 million by 2033, growing at a Compound Annual Growth Rate (CAGR) of 4% from 2026 to 2033.n*   The broader France Theme Park Tourism Market is expected to reach USD 7336.48 million by 2034, growing at a CAGR of 8.18% from 2026 to 2034.n*   France accounted for 3.4% of the global amusement parks market revenue in 2025.n*   Within Europe, France is projected to lead the regional market in terms of revenue by 2033 and is the fastest-growing regional market in Europe.nn**2. Economic Impact:**n*   Amusement parks, particularly Disneyland Paris, have a substantial economic impact. Disneyland Paris alone has contributed €84.5 billion to the French economy and represents 6% of tourism revenue in France since 1992.n*   Since its opening, Disneyland Paris has invested €13 billion in France and employs over 20,000 people, making it Europe's leading tourist destination.n*   The resort has generated over 375 million visits since its opening, attracting tourists from across Europe.n*   The economic impact extends beyond the parks themselves, with studies showing that for every euro of initial investment in parks like Grevin, 1.4 euros of total investment are generated, and 65% of investment expenses go to local entrepreneurs.nn**3. Key Trends and Drivers:**n*   **Tourism:** France consistently leads Europe in tourist arrivals, providing a substantial customer base for amusement parks. Increased international and domestic tourism, along with rising disposable incomes, are key drivers for market growth.n*   **Investment and Expansion:** There's continuous capital investment in large-scale expansions, new themed lands, and ride upgrades to drive repeat visitation and extend stays. Disneyland Paris, for example, has seen significant investment, including a €2 billion expansion plan.n*   **Immersive Experiences:** The industry is shifting from "catalogue" parks to "destination" parks, with a focus on immersive storytelling and themed experiences. This includes leveraging intellectual property (IP) to create strong emotional connections with audiences.n*   **Technological Advancements:** Parks are increasingly adopting virtual reality (VR), augmented reality (AR), and AI-driven crowd management systems to enhance visitor experiences and efficiency.n*   **Diversification of Offerings:** Operators are bundling mechanical rides with indoor water attractions to attract a wider visitor mix and smooth out revenue seasonality. Water parks are also forecasted to be the fastest-growing park type segment.n*   **Sustainability:** Climate resilience planning and inclusive design (e.g., EU Accessibility Act) are influencing park infrastructure investments.nn**4. Leading Segments:**n*   **Mechanical rides** were the largest revenue-generating ride segment in 2025 and are anticipated to remain so, driven by their appeal as flagship attractions and continuous innovation.n*   **Tickets** are expected to remain the leading revenue segment, accounting for around 54% of revenue in the European amusement parks market in 2026.n*   The **19 to 35-year age group** is projected to be the leading age type in 2026, driven by their spending on immersive and experience-centric attractions.nnIn conclusion, the amusement park business in France is a robust and growing sector, playing a vital role in the country's tourism and economy. It is characterized by significant investment, a focus on immersive experiences, and a strong outlook for continued growth.",
                  "annotations": [
                    {
                      "title": "grandviewresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGAK_isTM1vBBtj2JkY0iLXSnPhEjJByrfoW3UBtN5hacmjoI7ViNxoBfDbQRq9p9vj-UdHj2A53sM-R_UZ1HxH51RqDL8AsAu1BZ12nVEmbLGkbSdeuXMpclfIQtYJBVZgbZW6u8t1C0QHS3KzJYi5DN-646-yJQEP9djMbJiNP_wADRJsJgnXc8Q=",
                      "start_index": 181,
                      "end_index": 423,
                      "text": "Market Size and Growth:**n*   The French amusement parks market generated a revenue of USD 3,601.9 million in 2025 and is projected to reach USD 5,023.1 million by 2033, growing at a Compound Annual Growth Rate (CAGR) of 4% from 2026 to 2033."
                    },
                    {
                      "title": "deepmarketinsights.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGVciXDuYZJJz7N_kseniYJHdcuTl5m_kWpFtmltOnDu7SrZcBQx6m-iQSXZabd6rduCxjslih-W6YDP-uEkrSG9ksBh-Iv7VSxQqmiCpRZlIBRcc9Ccq_bGJT5ogyuLnS-xwj0lLpuZk4FoYExl8NZiqKGxL3pwosBGi93mbPClB9J1Q6wLTnFDA==",
                      "start_index": 424,
                      "end_index": 568,
                      "text": "*   The broader France Theme Park Tourism Market is expected to reach USD 7336.48 million by 2034, growing at a CAGR of 8.18% from 2026 to 2034."
                    },
                    {
                      "title": "grandviewresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGAK_isTM1vBBtj2JkY0iLXSnPhEjJByrfoW3UBtN5hacmjoI7ViNxoBfDbQRq9p9vj-UdHj2A53sM-R_UZ1HxH51RqDL8AsAu1BZ12nVEmbLGkbSdeuXMpclfIQtYJBVZgbZW6u8t1C0QHS3KzJYi5DN-646-yJQEP9djMbJiNP_wADRJsJgnXc8Q=",
                      "start_index": 569,
                      "end_index": 652,
                      "text": "*   France accounted for 3.4% of the global amusement parks market revenue in 2025."
                    },
                    {
                      "title": "grandviewresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGAK_isTM1vBBtj2JkY0iLXSnPhEjJByrfoW3UBtN5hacmjoI7ViNxoBfDbQRq9p9vj-UdHj2A53sM-R_UZ1HxH51RqDL8AsAu1BZ12nVEmbLGkbSdeuXMpclfIQtYJBVZgbZW6u8t1C0QHS3KzJYi5DN-646-yJQEP9djMbJiNP_wADRJsJgnXc8Q=",
                      "start_index": 653,
                      "end_index": 801,
                      "text": "*   Within Europe, France is projected to lead the regional market in terms of revenue by 2033 and is the fastest-growing regional market in Europe."
                    },
                    {
                      "title": "disneyexperiences.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG-wbPoEk0c1ryl_OAJvbQ4NPNs3d7qIcjBjLBH3VC1Q9PeLg1QyVdYZRKAv9bBrAA0rmK9tfJa8Vf6OB9egqH5meINHxPvUhdQSjZaJ94ULxgmNCJF1aWECcBtIcyUqi2rHEKPmJd3eNEx9BFEasp37N8sH382_GTs15CHmrsdLXeCjeY60slQedQtaThAPrwZi2c6vglu9WlvnFnMdoY=",
                      "start_index": 915,
                      "end_index": 1050,
                      "text": "Disneyland Paris alone has contributed €84.5 billion to the French economy and represents 6% of tourism revenue in France since 1992."
                    },
                    {
                      "title": "disneylandparis.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGMy2ipi9TOeDqhkBNzVSy54iK4JQhLDMU8cDA2SEUgmWTzNJxexZMCa_bG1HA1xfw543OJcVyD3LIc_p5p2NgzP5QJ-JKcWOfAPBsxubFfjNEmRTyJCUURU1YUnWNO-zVNTsSblXpEwv-UqBtwXyH4F5ofQ25MUwp70bY_w_VfsX4EmsOq6qh2wSmJRUC1nakaq7ZKcE_ArE9JnyA4YDJri1by9juG89XydU3qMQ7A0RoYwpF9gA==",
                      "start_index": 1051,
                      "end_index": 1207,
                      "text": "*   Since its opening, Disneyland Paris has invested €13 billion in France and employs over 20,000 people, making it Europe's leading tourist destination."
                    },
                    {
                      "title": "disneyexperiences.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG-wbPoEk0c1ryl_OAJvbQ4NPNs3d7qIcjBjLBH3VC1Q9PeLg1QyVdYZRKAv9bBrAA0rmK9tfJa8Vf6OB9egqH5meINHxPvUhdQSjZaJ94ULxgmNCJF1aWECcBtIcyUqi2rHEKPmJd3eNEx9BFEasp37N8sH382_GTs15CHmrsdLXeCjeY60slQedQtaThAPrwZi2c6vglu9WlvnFnMdoY=",
                      "start_index": 1208,
                      "end_index": 1319,
                      "text": "*   The resort has generated over 375 million visits since its opening, attracting tourists from across Europe."
                    },
                    {
                      "title": "cabidigitallibrary.org",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH_4em0KZ4en9CGGnxisGk_OmCAaifzgspPjEumL8ydsyMP7y71wxX2rqIQSMQE3ggyGvYsFR14EsrTr8B2dFzRDfCbH2bDPPaR7hYAZQhcKI90RoZQ6B5Me6IRk8kHA1rPXFl7nwOIV4L81mpN4aPZZn43EcVbkWg5",
                      "start_index": 1320,
                      "end_index": 1568,
                      "text": "*   The economic impact extends beyond the parks themselves, with studies showing that for every euro of initial investment in parks like Grevin, 1.4 euros of total investment are generated, and 65% of investment expenses go to local entrepreneurs."
                    },
                    {
                      "title": "verifiedmarketresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGu5uJlfL6zXfeHxHjEkwkivu590m3WKSW7QsB2KccFjvF_w7OGr01cRbo1FsUvj5cYfz1UZAlkgRVmj7zWv0E_pj3soa53Mq8dGXTq_tWH8qLv1VlLNRUu6ZZ_bzegXeS7F2xLnj3J_uKpyGmP9VBxw4Kkn9N3qFf9pNtcfd1xaHuIedg5LLLJ",
                      "start_index": 1575,
                      "end_index": 1730,
                      "text": "Key Trends and Drivers:**n*   **Tourism:** France consistently leads Europe in tourist arrivals, providing a substantial customer base for amusement parks."
                    },
                    {
                      "title": "persistencemarketresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE6_jtUmfQRtCNXy2kln7v-HsWx3U9eREA5YaXJr8TIAz-lyednGmvvOjpduF7ye-g7G1zXAEmYBtuSC8tIJczozJQ53VLLGcYKhqA1Jl8SrOeflvj-HCu9iI3BpyRmxGDwoqExR__oas2ahOgj2zv08N_lrhUnDPn7AyegyN3RaWVqAOZReD-WJ2eUELCh-uSjRUgPcFc=",
                      "start_index": 1731,
                      "end_index": 1849,
                      "text": "Increased international and domestic tourism, along with rising disposable incomes, are key drivers for market growth."
                    },
                    {
                      "title": "verifiedmarketresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGu5uJlfL6zXfeHxHjEkwkivu590m3WKSW7QsB2KccFjvF_w7OGr01cRbo1FsUvj5cYfz1UZAlkgRVmj7zWv0E_pj3soa53Mq8dGXTq_tWH8qLv1VlLNRUu6ZZ_bzegXeS7F2xLnj3J_uKpyGmP9VBxw4Kkn9N3qFf9pNtcfd1xaHuIedg5LLLJ",
                      "start_index": 1731,
                      "end_index": 1849,
                      "text": "Increased international and domestic tourism, along with rising disposable incomes, are key drivers for market growth."
                    },
                    {
                      "title": "persistencemarketresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE6_jtUmfQRtCNXy2kln7v-HsWx3U9eREA5YaXJr8TIAz-lyednGmvvOjpduF7ye-g7G1zXAEmYBtuSC8tIJczozJQ53VLLGcYKhqA1Jl8SrOeflvj-HCu9iI3BpyRmxGDwoqExR__oas2ahOgj2zv08N_lrhUnDPn7AyegyN3RaWVqAOZReD-WJ2eUELCh-uSjRUgPcFc=",
                      "start_index": 1850,
                      "end_index": 2029,
                      "text": "*   **Investment and Expansion:** There's continuous capital investment in large-scale expansions, new themed lands, and ride upgrades to drive repeat visitation and extend stays."
                    },
                    {
                      "title": "verifiedmarketresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGu5uJlfL6zXfeHxHjEkwkivu590m3WKSW7QsB2KccFjvF_w7OGr01cRbo1FsUvj5cYfz1UZAlkgRVmj7zWv0E_pj3soa53Mq8dGXTq_tWH8qLv1VlLNRUu6ZZ_bzegXeS7F2xLnj3J_uKpyGmP9VBxw4Kkn9N3qFf9pNtcfd1xaHuIedg5LLLJ",
                      "start_index": 2030,
                      "end_index": 2134,
                      "text": "Disneyland Paris, for example, has seen significant investment, including a €2 billion expansion plan."
                    },
                    {
                      "title": "parktrips.fr",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGC3wG8B03Q93M4NNl3swOUYFutJ3E421yHtvxeEJtjr2rPDOZLmItasXuq450hOCx9J5dJfDUa0xJfbkS5Rf0XkmTVwi-PAskaLnIKt_HIQgXjaxSrL_xuXGM6MdAC-ihBakSXf4_CYpCK",
                      "start_index": 2135,
                      "end_index": 2300,
                      "text": "*   **Immersive Experiences:** The industry is shifting from "catalogue" parks to "destination" parks, with a focus on immersive storytelling and themed experiences."
                    },
                    {
                      "title": "technavio.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGI0P-cxMrqrHXNqIg-av5MSx-MBXn8zzx_RqgCUvHaScqHf7gGcoL8bwJxxbKBcZXarhRyMXOYK_68njsEHEL7Ytmtobyh5aiQ8iz3wPHOs-dQmK2C8ZXRKpAPWdU7b5tsbsZu3LRcT6OFZmPNIT9Pfc6aIgs2t0sWP-Y3Uml4m4tvUA==",
                      "start_index": 2135,
                      "end_index": 2300,
                      "text": "*   **Immersive Experiences:** The industry is shifting from "catalogue" parks to "destination" parks, with a focus on immersive storytelling and themed experiences."
                    },
                    {
                      "title": "technavio.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGI0P-cxMrqrHXNqIg-av5MSx-MBXn8zzx_RqgCUvHaScqHf7gGcoL8bwJxxbKBcZXarhRyMXOYK_68njsEHEL7Ytmtobyh5aiQ8iz3wPHOs-dQmK2C8ZXRKpAPWdU7b5tsbsZu3LRcT6OFZmPNIT9Pfc6aIgs2t0sWP-Y3Uml4m4tvUA==",
                      "start_index": 2301,
                      "end_index": 2407,
                      "text": "This includes leveraging intellectual property (IP) to create strong emotional connections with audiences."
                    },
                    {
                      "title": "verifiedmarketresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGu5uJlfL6zXfeHxHjEkwkivu590m3WKSW7QsB2KccFjvF_w7OGr01cRbo1FsUvj5cYfz1UZAlkgRVmj7zWv0E_pj3soa53Mq8dGXTq_tWH8qLv1VlLNRUu6ZZ_bzegXeS7F2xLnj3J_uKpyGmP9VBxw4Kkn9N3qFf9pNtcfd1xaHuIedg5LLLJ",
                      "start_index": 2408,
                      "end_index": 2607,
                      "text": "*   **Technological Advancements:** Parks are increasingly adopting virtual reality (VR), augmented reality (AR), and AI-driven crowd management systems to enhance visitor experiences and efficiency."
                    },
                    {
                      "title": "kenresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFRJIJKuTSwgp2nbHzLua8rxj1dKas7afOVRV6GRn_5uArQVExI6IYK1G9L07ZXC2ohwU1U3fGeSLFS8jFsKICl6JvLkvh45CBGbKpa7teHiVFZjCkXB8LeSbz5fv71IvLDutPL9j4BTY924Ru9t1Jd0wvtFN-GfNwSpgRWeoLixWfi0iw=",
                      "start_index": 2408,
                      "end_index": 2607,
                      "text": "*   **Technological Advancements:** Parks are increasingly adopting virtual reality (VR), augmented reality (AR), and AI-driven crowd management systems to enhance visitor experiences and efficiency."
                    },
                    {
                      "title": "mordorintelligence.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG8Hw-TSvtGo5giAUeEeo96M8I1V7LVB7E296f-o4dXw7e1GchQmWennarzK8sBtdSqzrI_FZlpVlopY0xDIqUBoTAR14_7x5s6XtQSRbYRjzTuVDYkX-ynEk2c4WRnZfSjesPQTIyH3PUdG9JYrdSPVNNPjI88xpOHhcAVoRI2LdcY8xK6hL4J8XRNzg==",
                      "start_index": 2608,
                      "end_index": 2782,
                      "text": "*   **Diversification of Offerings:** Operators are bundling mechanical rides with indoor water attractions to attract a wider visitor mix and smooth out revenue seasonality."
                    },
                    {
                      "title": "deepmarketinsights.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGVciXDuYZJJz7N_kseniYJHdcuTl5m_kWpFtmltOnDu7SrZcBQx6m-iQSXZabd6rduCxjslih-W6YDP-uEkrSG9ksBh-Iv7VSxQqmiCpRZlIBRcc9Ccq_bGJT5ogyuLnS-xwj0lLpuZk4FoYExl8NZiqKGxL3pwosBGi93mbPClB9J1Q6wLTnFDA==",
                      "start_index": 2783,
                      "end_index": 2859,
                      "text": "Water parks are also forecasted to be the fastest-growing park type segment."
                    },
                    {
                      "title": "marketdataforecast.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGMGTAq_yX6zKhIAlf47RZL2vw-0d5dhkRl8ZQ1NvvUcP9SlBGJGJphHlRYZLFZ-XOI4URjjmv0RKF0w2FKlJ2jmIDtkPwF3AEdS5hP8GCBCF7xyS6g_jkbohrQsW5jk1H-2lNcpaQa1dOzfL_DuvQZlRQEEk2bJ8xHjPFWhbuhMFhuAOK1",
                      "start_index": 2860,
                      "end_index": 3010,
                      "text": "*   **Sustainability:** Climate resilience planning and inclusive design (e.g., EU Accessibility Act) are influencing park infrastructure investments."
                    },
                    {
                      "title": "grandviewresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGAK_isTM1vBBtj2JkY0iLXSnPhEjJByrfoW3UBtN5hacmjoI7ViNxoBfDbQRq9p9vj-UdHj2A53sM-R_UZ1HxH51RqDL8AsAu1BZ12nVEmbLGkbSdeuXMpclfIQtYJBVZgbZW6u8t1C0QHS3KzJYi5DN-646-yJQEP9djMbJiNP_wADRJsJgnXc8Q=",
                      "start_index": 3017,
                      "end_index": 3226,
                      "text": "Leading Segments:**n*   **Mechanical rides** were the largest revenue-generating ride segment in 2025 and are anticipated to remain so, driven by their appeal as flagship attractions and continuous innovation."
                    },
                    {
                      "title": "persistencemarketresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE6_jtUmfQRtCNXy2kln7v-HsWx3U9eREA5YaXJr8TIAz-lyednGmvvOjpduF7ye-g7G1zXAEmYBtuSC8tIJczozJQ53VLLGcYKhqA1Jl8SrOeflvj-HCu9iI3BpyRmxGDwoqExR__oas2ahOgj2zv08N_lrhUnDPn7AyegyN3RaWVqAOZReD-WJ2eUELCh-uSjRUgPcFc=",
                      "start_index": 3017,
                      "end_index": 3226,
                      "text": "Leading Segments:**n*   **Mechanical rides** were the largest revenue-generating ride segment in 2025 and are anticipated to remain so, driven by their appeal as flagship attractions and continuous innovation."
                    },
                    {
                      "title": "persistencemarketresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE6_jtUmfQRtCNXy2kln7v-HsWx3U9eREA5YaXJr8TIAz-lyednGmvvOjpduF7ye-g7G1zXAEmYBtuSC8tIJczozJQ53VLLGcYKhqA1Jl8SrOeflvj-HCu9iI3BpyRmxGDwoqExR__oas2ahOgj2zv08N_lrhUnDPn7AyegyN3RaWVqAOZReD-WJ2eUELCh-uSjRUgPcFc=",
                      "start_index": 3227,
                      "end_index": 3379,
                      "text": "*   **Tickets** are expected to remain the leading revenue segment, accounting for around 54% of revenue in the European amusement parks market in 2026."
                    },
                    {
                      "title": "persistencemarketresearch.com",
                      "url": "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE6_jtUmfQRtCNXy2kln7v-HsWx3U9eREA5YaXJr8TIAz-lyednGmvvOjpduF7ye-g7G1zXAEmYBtuSC8tIJczozJQ53VLLGcYKhqA1Jl8SrOeflvj-HCu9iI3BpyRmxGDwoqExR__oas2ahOgj2zv08N_lrhUnDPn7AyegyN3RaWVqAOZReD-WJ2eUELCh-uSjRUgPcFc=",
                      "start_index": 3380,
                      "end_index": 3538,
                      "text": "*   The **19 to 35-year age group** is projected to be the leading age type in 2026, driven by their spending on immersive and experience-centric attractions."
                    }
                  ]
                }
              ]
            }
          ],
          "fan_out_queries": [
            "amusement park business relevance France 2024",
            "French amusement park market size 2024",
            "amusement park industry trends France",
            "economic impact of amusement parks France"
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    }
  ]
}