实时 LLM 提及的热门域名

curl --request POST \
  --url https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "target": [
    "<string>"
  ],
  "domain": "<string>",
  "keyword": "<string>",
  "domain_entity": {},
  "search_filter": "<string>",
  "search_scope": [
    "<string>"
  ],
  "include_subdomains": true,
  "keyword_entity": {},
  "match_type": "<string>",
  "location_name": "<string>",
  "location_code": 123,
  "language_name": "<string>",
  "language_code": "<string>",
  "platform": "<string>",
  "links_scope": "<string>",
  "initial_dataset_filters": [
    "<string>"
  ],
  "items_list_limit": 123,
  "internal_list_limit": 123,
  "tag": "<string>"
}
'

import requests

url = "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live"

payload = {
    "target": ["<string>"],
    "domain": "<string>",
    "keyword": "<string>",
    "domain_entity": {},
    "search_filter": "<string>",
    "search_scope": ["<string>"],
    "include_subdomains": True,
    "keyword_entity": {},
    "match_type": "<string>",
    "location_name": "<string>",
    "location_code": 123,
    "language_name": "<string>",
    "language_code": "<string>",
    "platform": "<string>",
    "links_scope": "<string>",
    "initial_dataset_filters": ["<string>"],
    "items_list_limit": 123,
    "internal_list_limit": 123,
    "tag": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    target: ['<string>'],
    domain: '<string>',
    keyword: '<string>',
    domain_entity: {},
    search_filter: '<string>',
    search_scope: ['<string>'],
    include_subdomains: true,
    keyword_entity: {},
    match_type: '<string>',
    location_name: '<string>',
    location_code: 123,
    language_name: '<string>',
    language_code: '<string>',
    platform: '<string>',
    links_scope: '<string>',
    initial_dataset_filters: ['<string>'],
    items_list_limit: 123,
    internal_list_limit: 123,
    tag: '<string>'
  })
};

fetch('https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'target' => [
        '<string>'
    ],
    'domain' => '<string>',
    'keyword' => '<string>',
    'domain_entity' => [
        
    ],
    'search_filter' => '<string>',
    'search_scope' => [
        '<string>'
    ],
    'include_subdomains' => true,
    'keyword_entity' => [
        
    ],
    'match_type' => '<string>',
    'location_name' => '<string>',
    'location_code' => 123,
    'language_name' => '<string>',
    'language_code' => '<string>',
    'platform' => '<string>',
    'links_scope' => '<string>',
    'initial_dataset_filters' => [
        '<string>'
    ],
    'items_list_limit' => 123,
    'internal_list_limit' => 123,
    'tag' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live"

	payload := strings.NewReader("{\n  \"target\": [\n    \"<string>\"\n  ],\n  \"domain\": \"<string>\",\n  \"keyword\": \"<string>\",\n  \"domain_entity\": {},\n  \"search_filter\": \"<string>\",\n  \"search_scope\": [\n    \"<string>\"\n  ],\n  \"include_subdomains\": true,\n  \"keyword_entity\": {},\n  \"match_type\": \"<string>\",\n  \"location_name\": \"<string>\",\n  \"location_code\": 123,\n  \"language_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"platform\": \"<string>\",\n  \"links_scope\": \"<string>\",\n  \"initial_dataset_filters\": [\n    \"<string>\"\n  ],\n  \"items_list_limit\": 123,\n  \"internal_list_limit\": 123,\n  \"tag\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"target\": [\n    \"<string>\"\n  ],\n  \"domain\": \"<string>\",\n  \"keyword\": \"<string>\",\n  \"domain_entity\": {},\n  \"search_filter\": \"<string>\",\n  \"search_scope\": [\n    \"<string>\"\n  ],\n  \"include_subdomains\": true,\n  \"keyword_entity\": {},\n  \"match_type\": \"<string>\",\n  \"location_name\": \"<string>\",\n  \"location_code\": 123,\n  \"language_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"platform\": \"<string>\",\n  \"links_scope\": \"<string>\",\n  \"initial_dataset_filters\": [\n    \"<string>\"\n  ],\n  \"items_list_limit\": 123,\n  \"internal_list_limit\": 123,\n  \"tag\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"target\": [\n    \"<string>\"\n  ],\n  \"domain\": \"<string>\",\n  \"keyword\": \"<string>\",\n  \"domain_entity\": {},\n  \"search_filter\": \"<string>\",\n  \"search_scope\": [\n    \"<string>\"\n  ],\n  \"include_subdomains\": true,\n  \"keyword_entity\": {},\n  \"match_type\": \"<string>\",\n  \"location_name\": \"<string>\",\n  \"location_code\": 123,\n  \"language_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"platform\": \"<string>\",\n  \"links_scope\": \"<string>\",\n  \"initial_dataset_filters\": [\n    \"<string>\"\n  ],\n  \"items_list_limit\": 123,\n  \"internal_list_limit\": 123,\n  \"tag\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "version": "<string>",
  "status_code": 123,
  "status_message": "<string>",
  "time": "<string>",
  "cost": 123,
  "tasks_count": 123,
  "tasks_error": 123,
  "tasks": [
    "<string>"
  ],
  "tasks.id": "<string>",
  "tasks.status_code": 123,
  "tasks.status_message": "<string>",
  "tasks.time": "<string>",
  "tasks.cost": 123,
  "tasks.result_count": 123,
  "tasks.path": [
    "<string>"
  ],
  "tasks.data": {},
  "tasks.result": [
    "<string>"
  ],
  "tasks.result.total": {},
  "tasks.result.total.location": [
    "<string>"
  ],
  "tasks.result.total.location.type": "<string>",
  "tasks.result.total.location.key": "<string>",
  "tasks.result.total.location.mentions": 123,
  "tasks.result.total.location.ai_search_volume": 123,
  "tasks.result.total.location.impressions": 123,
  "tasks.result.total.language": [
    "<string>"
  ],
  "tasks.result.total.language.type": "<string>",
  "tasks.result.total.language.key": "<string>",
  "tasks.result.total.language.mentions": 123,
  "tasks.result.total.language.ai_search_volume": 123,
  "tasks.result.total.language.impressions": 123,
  "tasks.result.total.platform": [
    "<string>"
  ],
  "tasks.result.total.platform.type": "<string>",
  "tasks.result.total.platform.key": "<string>",
  "tasks.result.total.platform.mentions": 123,
  "tasks.result.total.platform.ai_search_volume": 123,
  "tasks.result.total.platform.impressions": 123,
  "tasks.result.total.sources_domain": [
    "<string>"
  ],
  "tasks.result.total.sources_domain.type": "<string>",
  "tasks.result.total.sources_domain.key": "<string>",
  "tasks.result.total.sources_domain.mentions": 123,
  "tasks.result.total.sources_domain.ai_search_volume": 123,
  "tasks.result.total.sources_domain.impressions": 123,
  "tasks.result.total.search_results_domain": [
    "<string>"
  ],
  "tasks.result.total.search_results_domain.type": "<string>",
  "tasks.result.total.search_results_domain.key": "<string>",
  "tasks.result.total.search_results_domain.mentions": 123,
  "tasks.result.total.search_results_domain.ai_search_volume": 123,
  "tasks.result.total.search_results_domain.impressions": 123,
  "tasks.result.total.brand_entities_title": [
    "<string>"
  ],
  "tasks.result.total.brand_entities_title.type": "<string>",
  "tasks.result.total.brand_entities_title.key": "<string>",
  "tasks.result.total.brand_entities_title.mentions": 123,
  "tasks.result.total.brand_entities_title.ai_search_volume": 123,
  "tasks.result.total.brand_entities_title.impressions": 123,
  "tasks.result.total.brand_entities_category": [
    "<string>"
  ],
  "tasks.result.total.brand_entities_category.type": "<string>",
  "tasks.result.total.brand_entities_category.key": "<string>",
  "tasks.result.total.brand_entities_category.mentions": 123,
  "tasks.result.total.brand_entities_category.ai_search_volume": 123,
  "tasks.result.total.brand_entities_category.impressions": 123,
  "tasks.result.items": [
    "<string>"
  ],
  "tasks.result.items.key": "<string>",
  "tasks.result.items.location": [
    "<string>"
  ],
  "tasks.result.items.location.type": "<string>",
  "tasks.result.items.location.key": "<string>",
  "tasks.result.items.location.mentions": 123,
  "tasks.result.items.location.ai_search_volume": 123,
  "tasks.result.items.location.impressions": 123,
  "tasks.result.items.language": [
    "<string>"
  ],
  "tasks.result.items.language.type": "<string>",
  "tasks.result.items.language.key": "<string>",
  "tasks.result.items.language.mentions": 123,
  "tasks.result.items.language.ai_search_volume": 123,
  "tasks.result.items.language.impressions": 123,
  "tasks.result.items.platform": [
    "<string>"
  ],
  "tasks.result.items.platform.type": "<string>",
  "tasks.result.items.platform.key": "<string>",
  "tasks.result.items.platform.mentions": 123,
  "tasks.result.items.platform.ai_search_volume": 123,
  "tasks.result.items.platform.impressions": 123,
  "tasks.result.items.sources_domain": [
    "<string>"
  ],
  "tasks.result.items.sources_domain.type": "<string>",
  "tasks.result.items.sources_domain.key": "<string>",
  "tasks.result.items.sources_domain.mentions": 123,
  "tasks.result.items.sources_domain.ai_search_volume": 123,
  "tasks.result.items.sources_domain.impressions": 123,
  "tasks.result.items.search_results_domain": [
    "<string>"
  ],
  "tasks.result.items.search_results_domain.type": "<string>",
  "tasks.result.items.search_results_domain.key": "<string>",
  "tasks.result.items.search_results_domain.mentions": 123,
  "tasks.result.items.search_results_domain.ai_search_volume": 123,
  "tasks.result.items.search_results_domain.impressions": 123,
  "tasks.result.items.brand_entities_title": [
    "<string>"
  ],
  "tasks.result.items.brand_entities_title.type": "<string>",
  "tasks.result.items.brand_entities_title.key": "<string>",
  "tasks.result.items.brand_entities_title.mentions": 123,
  "tasks.result.items.brand_entities_title.ai_search_volume": 123,
  "tasks.result.items.brand_entities_title.impressions": 123,
  "tasks.result.items.brand_entities_category": [
    "<string>"
  ],
  "tasks.result.items.brand_entities_category.type": "<string>",
  "tasks.result.items.brand_entities_category.key": "<string>",
  "tasks.result.items.brand_entities_category.mentions": 123,
  "tasks.result.items.brand_entities_category.ai_search_volume": 123,
  "tasks.result.items.brand_entities_category.impressions": 123
}

POST

https://api.aisa.one/apis/v1

dataforseo

ai_optimization

llm_mentions

top_domains

live

实时 LLM 提及的热门域名

curl --request POST \
  --url https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "target": [
    "<string>"
  ],
  "domain": "<string>",
  "keyword": "<string>",
  "domain_entity": {},
  "search_filter": "<string>",
  "search_scope": [
    "<string>"
  ],
  "include_subdomains": true,
  "keyword_entity": {},
  "match_type": "<string>",
  "location_name": "<string>",
  "location_code": 123,
  "language_name": "<string>",
  "language_code": "<string>",
  "platform": "<string>",
  "links_scope": "<string>",
  "initial_dataset_filters": [
    "<string>"
  ],
  "items_list_limit": 123,
  "internal_list_limit": 123,
  "tag": "<string>"
}
'

import requests

url = "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live"

payload = {
    "target": ["<string>"],
    "domain": "<string>",
    "keyword": "<string>",
    "domain_entity": {},
    "search_filter": "<string>",
    "search_scope": ["<string>"],
    "include_subdomains": True,
    "keyword_entity": {},
    "match_type": "<string>",
    "location_name": "<string>",
    "location_code": 123,
    "language_name": "<string>",
    "language_code": "<string>",
    "platform": "<string>",
    "links_scope": "<string>",
    "initial_dataset_filters": ["<string>"],
    "items_list_limit": 123,
    "internal_list_limit": 123,
    "tag": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    target: ['<string>'],
    domain: '<string>',
    keyword: '<string>',
    domain_entity: {},
    search_filter: '<string>',
    search_scope: ['<string>'],
    include_subdomains: true,
    keyword_entity: {},
    match_type: '<string>',
    location_name: '<string>',
    location_code: 123,
    language_name: '<string>',
    language_code: '<string>',
    platform: '<string>',
    links_scope: '<string>',
    initial_dataset_filters: ['<string>'],
    items_list_limit: 123,
    internal_list_limit: 123,
    tag: '<string>'
  })
};

fetch('https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'target' => [
        '<string>'
    ],
    'domain' => '<string>',
    'keyword' => '<string>',
    'domain_entity' => [
        
    ],
    'search_filter' => '<string>',
    'search_scope' => [
        '<string>'
    ],
    'include_subdomains' => true,
    'keyword_entity' => [
        
    ],
    'match_type' => '<string>',
    'location_name' => '<string>',
    'location_code' => 123,
    'language_name' => '<string>',
    'language_code' => '<string>',
    'platform' => '<string>',
    'links_scope' => '<string>',
    'initial_dataset_filters' => [
        '<string>'
    ],
    'items_list_limit' => 123,
    'internal_list_limit' => 123,
    'tag' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live"

	payload := strings.NewReader("{\n  \"target\": [\n    \"<string>\"\n  ],\n  \"domain\": \"<string>\",\n  \"keyword\": \"<string>\",\n  \"domain_entity\": {},\n  \"search_filter\": \"<string>\",\n  \"search_scope\": [\n    \"<string>\"\n  ],\n  \"include_subdomains\": true,\n  \"keyword_entity\": {},\n  \"match_type\": \"<string>\",\n  \"location_name\": \"<string>\",\n  \"location_code\": 123,\n  \"language_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"platform\": \"<string>\",\n  \"links_scope\": \"<string>\",\n  \"initial_dataset_filters\": [\n    \"<string>\"\n  ],\n  \"items_list_limit\": 123,\n  \"internal_list_limit\": 123,\n  \"tag\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"target\": [\n    \"<string>\"\n  ],\n  \"domain\": \"<string>\",\n  \"keyword\": \"<string>\",\n  \"domain_entity\": {},\n  \"search_filter\": \"<string>\",\n  \"search_scope\": [\n    \"<string>\"\n  ],\n  \"include_subdomains\": true,\n  \"keyword_entity\": {},\n  \"match_type\": \"<string>\",\n  \"location_name\": \"<string>\",\n  \"location_code\": 123,\n  \"language_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"platform\": \"<string>\",\n  \"links_scope\": \"<string>\",\n  \"initial_dataset_filters\": [\n    \"<string>\"\n  ],\n  \"items_list_limit\": 123,\n  \"internal_list_limit\": 123,\n  \"tag\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.aisa.one/apis/v1/dataforseo/ai_optimization/llm_mentions/top_domains/live")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"target\": [\n    \"<string>\"\n  ],\n  \"domain\": \"<string>\",\n  \"keyword\": \"<string>\",\n  \"domain_entity\": {},\n  \"search_filter\": \"<string>\",\n  \"search_scope\": [\n    \"<string>\"\n  ],\n  \"include_subdomains\": true,\n  \"keyword_entity\": {},\n  \"match_type\": \"<string>\",\n  \"location_name\": \"<string>\",\n  \"location_code\": 123,\n  \"language_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"platform\": \"<string>\",\n  \"links_scope\": \"<string>\",\n  \"initial_dataset_filters\": [\n    \"<string>\"\n  ],\n  \"items_list_limit\": 123,\n  \"internal_list_limit\": 123,\n  \"tag\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "version": "<string>",
  "status_code": 123,
  "status_message": "<string>",
  "time": "<string>",
  "cost": 123,
  "tasks_count": 123,
  "tasks_error": 123,
  "tasks": [
    "<string>"
  ],
  "tasks.id": "<string>",
  "tasks.status_code": 123,
  "tasks.status_message": "<string>",
  "tasks.time": "<string>",
  "tasks.cost": 123,
  "tasks.result_count": 123,
  "tasks.path": [
    "<string>"
  ],
  "tasks.data": {},
  "tasks.result": [
    "<string>"
  ],
  "tasks.result.total": {},
  "tasks.result.total.location": [
    "<string>"
  ],
  "tasks.result.total.location.type": "<string>",
  "tasks.result.total.location.key": "<string>",
  "tasks.result.total.location.mentions": 123,
  "tasks.result.total.location.ai_search_volume": 123,
  "tasks.result.total.location.impressions": 123,
  "tasks.result.total.language": [
    "<string>"
  ],
  "tasks.result.total.language.type": "<string>",
  "tasks.result.total.language.key": "<string>",
  "tasks.result.total.language.mentions": 123,
  "tasks.result.total.language.ai_search_volume": 123,
  "tasks.result.total.language.impressions": 123,
  "tasks.result.total.platform": [
    "<string>"
  ],
  "tasks.result.total.platform.type": "<string>",
  "tasks.result.total.platform.key": "<string>",
  "tasks.result.total.platform.mentions": 123,
  "tasks.result.total.platform.ai_search_volume": 123,
  "tasks.result.total.platform.impressions": 123,
  "tasks.result.total.sources_domain": [
    "<string>"
  ],
  "tasks.result.total.sources_domain.type": "<string>",
  "tasks.result.total.sources_domain.key": "<string>",
  "tasks.result.total.sources_domain.mentions": 123,
  "tasks.result.total.sources_domain.ai_search_volume": 123,
  "tasks.result.total.sources_domain.impressions": 123,
  "tasks.result.total.search_results_domain": [
    "<string>"
  ],
  "tasks.result.total.search_results_domain.type": "<string>",
  "tasks.result.total.search_results_domain.key": "<string>",
  "tasks.result.total.search_results_domain.mentions": 123,
  "tasks.result.total.search_results_domain.ai_search_volume": 123,
  "tasks.result.total.search_results_domain.impressions": 123,
  "tasks.result.total.brand_entities_title": [
    "<string>"
  ],
  "tasks.result.total.brand_entities_title.type": "<string>",
  "tasks.result.total.brand_entities_title.key": "<string>",
  "tasks.result.total.brand_entities_title.mentions": 123,
  "tasks.result.total.brand_entities_title.ai_search_volume": 123,
  "tasks.result.total.brand_entities_title.impressions": 123,
  "tasks.result.total.brand_entities_category": [
    "<string>"
  ],
  "tasks.result.total.brand_entities_category.type": "<string>",
  "tasks.result.total.brand_entities_category.key": "<string>",
  "tasks.result.total.brand_entities_category.mentions": 123,
  "tasks.result.total.brand_entities_category.ai_search_volume": 123,
  "tasks.result.total.brand_entities_category.impressions": 123,
  "tasks.result.items": [
    "<string>"
  ],
  "tasks.result.items.key": "<string>",
  "tasks.result.items.location": [
    "<string>"
  ],
  "tasks.result.items.location.type": "<string>",
  "tasks.result.items.location.key": "<string>",
  "tasks.result.items.location.mentions": 123,
  "tasks.result.items.location.ai_search_volume": 123,
  "tasks.result.items.location.impressions": 123,
  "tasks.result.items.language": [
    "<string>"
  ],
  "tasks.result.items.language.type": "<string>",
  "tasks.result.items.language.key": "<string>",
  "tasks.result.items.language.mentions": 123,
  "tasks.result.items.language.ai_search_volume": 123,
  "tasks.result.items.language.impressions": 123,
  "tasks.result.items.platform": [
    "<string>"
  ],
  "tasks.result.items.platform.type": "<string>",
  "tasks.result.items.platform.key": "<string>",
  "tasks.result.items.platform.mentions": 123,
  "tasks.result.items.platform.ai_search_volume": 123,
  "tasks.result.items.platform.impressions": 123,
  "tasks.result.items.sources_domain": [
    "<string>"
  ],
  "tasks.result.items.sources_domain.type": "<string>",
  "tasks.result.items.sources_domain.key": "<string>",
  "tasks.result.items.sources_domain.mentions": 123,
  "tasks.result.items.sources_domain.ai_search_volume": 123,
  "tasks.result.items.sources_domain.impressions": 123,
  "tasks.result.items.search_results_domain": [
    "<string>"
  ],
  "tasks.result.items.search_results_domain.type": "<string>",
  "tasks.result.items.search_results_domain.key": "<string>",
  "tasks.result.items.search_results_domain.mentions": 123,
  "tasks.result.items.search_results_domain.ai_search_volume": 123,
  "tasks.result.items.search_results_domain.impressions": 123,
  "tasks.result.items.brand_entities_title": [
    "<string>"
  ],
  "tasks.result.items.brand_entities_title.type": "<string>",
  "tasks.result.items.brand_entities_title.key": "<string>",
  "tasks.result.items.brand_entities_title.mentions": 123,
  "tasks.result.items.brand_entities_title.ai_search_volume": 123,
  "tasks.result.items.brand_entities_title.impressions": 123,
  "tasks.result.items.brand_entities_category": [
    "<string>"
  ],
  "tasks.result.items.brand_entities_category.type": "<string>",
  "tasks.result.items.brand_entities_category.key": "<string>",
  "tasks.result.items.brand_entities_category.mentions": 123,
  "tasks.result.items.brand_entities_category.ai_search_volume": 123,
  "tasks.result.items.brand_entities_category.impressions": 123
}

授权

Authorization

string

header

必填

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

请求体

application/json

target

string[]

必填

包含目标实体的对象数组，必填字段。您最多可以在 target 字段中指定 10 个实体（对象）。一个目标实体可以包含一个 domain 或一个 keyword 以及相关参数。示例：包含 domain 实体的 target 数组 [{"domain": "en.wikipedia.org", "search_filter": "exclude"}]；包含 keyword 实体的 target 数组 [{"keyword": "bmw", "search_scope": ["question"], "match_type ": "partial_match"}]；包含多个实体的 target 数组 [{"domain": "en.wikipedia.org", "search_filter": "exclude"}, {"keyword": "bmw", "match_type ": "partial_match", "search_scope": ["answer"]}]

domain

string

必填

目标域名，必填字段。如果未指定 keyword，则可在 domain 字段中指定最多 63 个字符；域名应省略 https:// 和 www.

keyword

string

必填

目标关键词如果未指定 domain，则为必填字段 keyword 字段最多可指定 250 个字符所有 %## 都将被解码（加号字符 ‘+’ 将被解码为空格字符）如果关键词中需要使用“%”字符，请将其指定为“%25”；如果关键词中需要使用“+”字符，请将其指定为“%2B”有关 DataForSEO API 中 keyword 和 keywords 字段的规则与限制，请参阅此帮助中心文章

domain_entity

object

目标数组中的域名实体示例：{"domain": "en.wikipedia.org", "search_filter": "exclude", "search_scope": ["sources"]}

search_filter

string

目标关键词搜索过滤器，可选字段，可能的值：include、exclude，默认值：include

search_scope

string[]

目标关键词搜索范围，可选字段，可能的值：any、question、answer、brand_entities、fan_out_queries，默认值：any

include_subdomains

boolean

表示搜索是否包含目标域名的子域名，可选字段。设为 true 时，搜索将包含子域名。默认值：false

keyword_entity

object

目标数组中的关键词实体；示例：{"keyword": "bmw", "search_filter": "include", "search_scope": ["question"], "match_type ": "partial_match"}

match_type

string

目标关键词匹配类型，可选字段。可选值：word_match、partial_match。word_match - 全文搜索与指定种子关键词匹配的词项，可在种子关键词短语之前、之后或内部包含其他词语。partial_match - 搜索内容中出现的关键词或其任意部分。默认值：word_match

location_name

string

搜索位置的完整名称，可选字段。如果使用此字段，则无需指定 location_code。如果未指定此字段，默认使用值为 2840 的 location_code；您可以单独向 https://api.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages 发出请求，以获取搜索引擎可用位置及其 location_name 的列表。注意：chat_gpt 数据仅适用于 United States

location_code

integer

搜索位置代码，可选字段。如果使用此字段，则无需指定 location_name。可通过向 https://api.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages 单独发送请求，获取搜索引擎的可用位置及其 location_code。默认值：2840。注意：chat_gpt 数据仅适用于 2840

language_name

string

搜索语言的完整名称，可选字段；如果使用此字段，则无需指定 language_code；如果未指定此字段，将默认使用值为 en 的 language_code；你可以单独请求 https://api.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages，以获取搜索引擎可用语言及其 language_name 的列表。注意：chat_gpt 数据仅支持英语

language_code

string

搜索语言代码，可选字段。如果使用此字段，则无需指定 language_name；可通过向 https://api.dataforseo.com/v3/ai_optimization/llm_mentions/locations_and_languages 单独发送请求，获取搜索引擎的可用语言及其 language_code_by。默认值：en。注意：chat_gpt 数据仅适用于 en onlyn

platform

string

目标平台。可选字段。可能的值：chat_gpt、google。默认值：google。注意：返回的数据取决于所选平台。注意 #2：chat_gpt 数据仅适用于美国和英语

links_scope

string

链接来源范围，可选字段。此参数指定将使用哪些链接来提取域名和聚合数据。可选值：sources、search_results。默认值：sources

initial_dataset_filters

string[]

聚合前应用的筛选表达式数组，可选字段。您可以使用此数组对聚合前的原始提及数据库应用筛选表达式，以限制参与结果计算的行；可以同时添加多个筛选条件（最多 8 个），条件之间应设置逻辑运算符 and、or。支持以下运算符：=, , in, not_in, like, not_like, ilike, not_ilike, match, not_match。可以将 % 运算符与 like 和 not_like 搭配使用，以匹配包含零个或多个字符的任意字符串。示例：["ai_search_volume",">","1000"]。可用筛选条件的完整列表请参见此处。有关初始数据集筛选条件的更多信息，请参阅此帮助中心文章。

items_list_limit

integer

items 数组中的最大结果数，可选字段；可使用此参数限制在 items 数组中接收的数据对象数量；最小值：1；最大值：10；默认值：5

internal_list_limit

integer

内部数组中的最大元素数；可选字段。你可以使用此字段限制以下数组中的元素数量：sources_domain、search_results_domain。最小值：1；最大值：10；默认值：5。

tag

string

用户定义的任务标识符。可选字段。字符数限制为 255。您可以使用此参数标识任务并将其与结果匹配；您将在响应的 data 对象中找到指定的 tag 值

响应

成功响应

version

string

API 的当前版本

status_code

integer

通用状态码；您可以在此处查看完整的响应码列表。注意：我们强烈建议设计必要的系统来处理相关异常或错误情况

status_message

string

常规信息消息；可在此处查看常规信息消息的完整列表

time

string

执行时间（秒）

cost

number

任务总成本（美元）

tasks_count

integer

tasks 数组中的任务数量

tasks_error

integer

返回错误的 tasks 数组中的任务数量

tasks

string[]

任务数组

tasks.id

string

任务标识符，系统中采用 UUID 格式的唯一任务标识符

tasks.status_code

integer

DataForSEO 生成的任务状态码；范围为：10000-60000；完整响应代码列表可在此处查看

tasks.status_message

string

任务的信息性消息，你可以在此处查看通用信息性消息的完整列表

tasks.time

string

执行时间（秒）

tasks.cost

number

任务成本（美元）

tasks.result_count

integer

结果数组中的元素数量

tasks.path

string[]

URL 路径

tasks.data

object

包含您在 POST 请求中指定的相同参数

tasks.result

string[]

结果数组

tasks.result.total

object

汇总提及指标摘要，包含在所有已发现域名中汇总的整体 LLM 提及指标，并按多个维度分组。

tasks.result.total.location

string[]

基于位置的分组对象数组，包含按地理位置细分的提及指标

tasks.result.total.location.type

string

元素类型 = 'group_element'

tasks.result.total.location.key

string

分组标识符，即分组维度的具体标识符

tasks.result.total.location.mentions

integer

LLM 提及总次数，即目标关键词或域名与此特定分组键相关联时被提及的次数

tasks.result.total.location.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.total.location.impressions

integer

关键词当前的 AI 展示率

tasks.result.total.language

string[]

按语言分组的对象数组，包含按内容语言细分的提及指标

tasks.result.total.language.type

string

元素类型 = 'group_element'

tasks.result.total.language.key

string

分组标识符，即分组维度的具体标识符

tasks.result.total.language.mentions

integer

LLM 提及总次数，即目标关键词或域名与此特定分组键相关联时被提及的次数

tasks.result.total.language.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.total.language.impressions

integer

关键词当前的 AI 展示率

tasks.result.total.platform

string[]

按平台分组的数组，包含按 AI 平台细分的提及指标分组元素

tasks.result.total.platform.type

string

元素类型 = 'group_element'

tasks.result.total.platform.key

string

分组标识符，即分组维度的具体标识符

tasks.result.total.platform.mentions

integer

LLM 提及总次数，即目标关键词或域名与此特定分组键相关联时被提及的次数

tasks.result.total.platform.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.total.platform.impressions

integer

关键词当前的 AI 展示率

tasks.result.total.sources_domain

string[]

找到与目标相关的主要来源域名；对象数组，包含在 LLM 响应中被引用为来源的主要域名数据。

tasks.result.total.sources_domain.type

string

元素类型 = 'group_element'

tasks.result.total.sources_domain.key

string

分组标识符，即分组维度的特定标识符；在此情况下，该字段显示找到的域名

tasks.result.total.sources_domain.mentions

integer

LLM 提及总次数，即目标关键词或域名与特定域名相关联时被提及的次数

tasks.result.total.sources_domain.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.total.sources_domain.impressions

integer

关键词当前的 AI 展示率

tasks.result.total.search_results_domain

string[]

找到与目标相关的热门搜索结果域名。对象数组，包含与 LLM 查询相关的搜索结果中出现的热门域名数据

tasks.result.total.search_results_domain.type

string

元素类型 = 'group_element'

tasks.result.total.search_results_domain.key

string

分组标识符，即分组维度的特定标识符；在此情况下，该字段显示找到的域名

tasks.result.total.search_results_domain.mentions

integer

LLM 提及总次数，即目标关键词或域名与特定域名相关联时被提及的次数

tasks.result.total.search_results_domain.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.total.search_results_domain.impressions

integer

关键词当前的 AI 展示率

tasks.result.total.brand_entities_title

string[]

与目标相关的品牌实体数据；对象数组，包含与 LLM 查询相关的搜索结果中出现的品牌实体标题数据

tasks.result.total.brand_entities_title.type

string

元素类型 = 'group_element'

tasks.result.total.brand_entities_title.key

string

分组标识符；分组维度的具体标识符；在此情况下，该字段显示找到的品牌实体标题

tasks.result.total.brand_entities_title.mentions

integer

LLM 提及总次数，即目标关键词或域名与特定域名相关联时被提及的次数

tasks.result.total.brand_entities_title.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.total.brand_entities_title.impressions

integer

关键词当前的 AI 展示率

tasks.result.total.brand_entities_category

string[]

与目标相关的品牌实体数据；对象数组，包含与 LLM 查询相关的搜索结果中出现的品牌实体类别数据。

tasks.result.total.brand_entities_category.type

string

元素类型 = 'group_element'

tasks.result.total.brand_entities_category.key

string

分组标识符，即分组维度的特定标识符；在本例中，该字段显示找到的品牌实体类别

tasks.result.total.brand_entities_category.mentions

integer

LLM 提及总次数，即目标关键词或域名与特定域名相关联时被提及的次数

tasks.result.total.brand_entities_category.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.total.brand_entities_category.impressions

integer

关键词当前的 AI 展示率

tasks.result.items

string[]

单个域名结果数组，包含每个已找到的热门域名的详细提及指标

tasks.result.items.key

string

域名：在指定目标的 LLM 提及中发现的网站域名

tasks.result.items.location

string[]

基于位置的分组对象数组，包含按地理位置细分的域名提及指标

tasks.result.items.location.type

string

元素类型 = 'group_element'

tasks.result.items.location.key

string

分组标识符，即分组维度的具体标识符

tasks.result.items.location.mentions

integer

LLM 提及总次数，即目标关键词或域名与此特定分组键相关联时被提及的次数

tasks.result.items.location.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.items.location.impressions

integer

关键词当前的 AI 展示率

tasks.result.items.language

string[]

基于语言的分组对象数组，包含按内容语言细分的域名提及指标

tasks.result.items.language.type

string

元素类型 = 'group_element'

tasks.result.items.language.key

string

分组标识符，即分组维度的具体标识符

tasks.result.items.language.mentions

integer

LLM 提及总次数，即目标关键词或域名与此特定分组键相关联时被提及的次数

tasks.result.items.language.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.items.language.impressions

integer

关键词当前的 AI 展示率

tasks.result.items.platform

string[]

基于平台的分组；包含按 AI 平台细分的域名提及指标的分组元素数组

tasks.result.items.platform.type

string

元素类型 = 'group_element'

tasks.result.items.platform.key

string

分组标识符，即分组维度的具体标识符

tasks.result.items.platform.mentions

integer

LLM 提及总次数，即目标关键词或域名与此特定分组键相关联时被提及的次数

tasks.result.items.platform.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.items.platform.impressions

integer

关键词当前的 AI 展示率

tasks.result.items.sources_domain

string[]

与特定顶级域名相关的来源域名；对象数组，包含在 LLM 响应中被引用为来源的域名数据

tasks.result.items.sources_domain.type

string

元素类型 = 'group_element'

tasks.result.items.sources_domain.key

string

分组标识符，即分组维度的特定标识符；在此情况下，该字段显示找到的域名

tasks.result.items.sources_domain.mentions

integer

LLM 提及总次数，即目标关键词或域名与特定域名相关联时被提及的次数

tasks.result.items.sources_domain.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.items.sources_domain.impressions

integer

关键词当前的 AI 展示率

tasks.result.items.search_results_domain

string[]

与特定顶级域名相关的搜索结果域名；对象数组，包含与 LLM 查询相关的搜索结果中出现的域名数据

tasks.result.items.search_results_domain.type

string

元素类型 = 'group_element'

tasks.result.items.search_results_domain.key

string

分组标识符，即分组维度的特定标识符；在此情况下，该字段显示找到的域名

tasks.result.items.search_results_domain.mentions

integer

LLM 提及总次数，即目标关键词或域名与特定域名相关联时被提及的次数

tasks.result.items.search_results_domain.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.items.search_results_domain.impressions

integer

关键词当前的 AI 展示率

tasks.result.items.brand_entities_title

string[]

与目标相关的品牌实体数据；对象数组，包含与 LLM 查询相关的搜索结果中出现的品牌实体标题数据

tasks.result.items.brand_entities_title.type

string

元素类型 = 'group_element'

tasks.result.items.brand_entities_title.key

string

分组标识符；分组维度的具体标识符；在此情况下，该字段显示找到的品牌实体标题

tasks.result.items.brand_entities_title.mentions

integer

LLM 提及总次数，即目标关键词或域名与特定域名相关联时被提及的次数

tasks.result.items.brand_entities_title.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.items.brand_entities_title.impressions

integer

关键词当前的 AI 展示率

tasks.result.items.brand_entities_category

string[]

与目标相关的品牌实体数据；对象数组，包含与 LLM 查询相关的搜索结果中出现的品牌实体类别数据。

tasks.result.items.brand_entities_category.type

string

元素类型 = 'group_element'

tasks.result.items.brand_entities_category.key

string

分组标识符，即分组维度的特定标识符；在本例中，该字段显示找到的品牌实体类别

tasks.result.items.brand_entities_category.mentions

integer

LLM 提及总次数，即目标关键词或域名与特定域名相关联时被提及的次数

tasks.result.items.brand_entities_category.ai_search_volume

integer

关键词当前的 AI 搜索量比率；在此处了解有关此指标的更多信息

tasks.result.items.brand_entities_category.impressions

integer

关键词当前的 AI 展示率

概览

聊天 API

Embeddings 与重排序

搜索 API

Perplexity API

金融 API

Twitter API

Reddit API

Instagram API

Pinterest API

学术搜索 API

WaveInflu API

预测市场 API

CoinGecko

DataForSEO

AgentMail

Apollo

基础功能

实时 LLM 提及的热门域名

授权

请求体

响应