curl --location 'https://geobaseapi.aibase.com/v1/openapi/execute' \
--header 'Content-Type: application/json' \
--header 'AIBase-API-Key: AIBase_xxxxxxxxxxxxxxxx' \
--header 'AIBase-Request-Id: req-20260924-001' \
--data '{
"apiCode": "llm.topic",
"data": {
"brandId": "brand-001",
"llmName": "deepseek",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
}'
import os
import requests
api_key = os.environ["AIBASE_API_KEY"]
headers = {
"AIBase-API-Key": api_key,
"Content-Type": "application/json",
"AIBase-Request-Id": "req-20260924-001",
}
res = requests.post(
"https://geobaseapi.aibase.com/v1/openapi/execute",
headers=headers,
json={"apiCode": "llm.topic", "data": {"brandId": "brand-001", "llmName": "deepseek", "startDate": "2026-09-01", "endDate": "2026-09-23"}},
timeout=60,
)
res.raise_for_status()
payload = res.json()
if payload["code"] == 200:
print(payload["data"])
const res = await fetch("https://geobaseapi.aibase.com/v1/openapi/execute", {
method: "POST",
headers: {
"Content-Type": "application/json",
"AIBase-API-Key": process.env.AIBASE_API_KEY,
"AIBase-Request-Id": "req-20260924-001",
},
body: JSON.stringify({"apiCode": "llm.topic", "data": {"brandId": "brand-001", "llmName": "deepseek", "startDate": "2026-09-01", "endDate": "2026-09-23"}}),
});
const payload = await res.json();
if (payload.code === 200) {
console.log(payload.data);
}
String body = """
{
"apiCode": "llm.topic",
"data": {
"brandId": "brand-001",
"llmName": "deepseek",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
}
""";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://geobaseapi.aibase.com/v1/openapi/execute"))
.header("Content-Type", "application/json")
.header("AIBase-API-Key", "AIBase_xxxxxxxxxxxxxxxx")
.header("AIBase-Request-Id", "req-20260924-001")
.POST(BodyPublishers.ofString(body))
.build();
HttpResponse<String> response = HttpClient.newHttpClient()
.send(request, BodyHandlers.ofString());
System.out.println(response.body());
{
"code": 200,
"msg": "成功",
"data": {
"品牌口碑": [
{
"topicName": "品牌口碑",
"llmName": "deepseek",
"visibilityRatePercent": 78.2,
"top3Rate": 85.5,
"hitCount": 120,
"position": 1.6
}
],
"产品对比": [
{
"topicName": "产品对比",
"llmName": "chatgpt",
"visibilityRatePercent": 55.1,
"top3Rate": 72.6,
"hitCount": 64,
"position": 2.8
}
]
},
"timeStamp": 1788830174812
}
平台业务主题分布
查询指定品牌在指定时间范围内各 AI 平台的业务主题分布表现，按主题（topicName）分组返回各平台在主题下的曝光率、Top3 占比率、有效命中AI对话问题数量与平均提及位
POST
/
v1
/
openapi
/
execute
curl --location 'https://geobaseapi.aibase.com/v1/openapi/execute' \
--header 'Content-Type: application/json' \
--header 'AIBase-API-Key: AIBase_xxxxxxxxxxxxxxxx' \
--header 'AIBase-Request-Id: req-20260924-001' \
--data '{
"apiCode": "llm.topic",
"data": {
"brandId": "brand-001",
"llmName": "deepseek",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
}'
import os
import requests
api_key = os.environ["AIBASE_API_KEY"]
headers = {
"AIBase-API-Key": api_key,
"Content-Type": "application/json",
"AIBase-Request-Id": "req-20260924-001",
}
res = requests.post(
"https://geobaseapi.aibase.com/v1/openapi/execute",
headers=headers,
json={"apiCode": "llm.topic", "data": {"brandId": "brand-001", "llmName": "deepseek", "startDate": "2026-09-01", "endDate": "2026-09-23"}},
timeout=60,
)
res.raise_for_status()
payload = res.json()
if payload["code"] == 200:
print(payload["data"])
const res = await fetch("https://geobaseapi.aibase.com/v1/openapi/execute", {
method: "POST",
headers: {
"Content-Type": "application/json",
"AIBase-API-Key": process.env.AIBASE_API_KEY,
"AIBase-Request-Id": "req-20260924-001",
},
body: JSON.stringify({"apiCode": "llm.topic", "data": {"brandId": "brand-001", "llmName": "deepseek", "startDate": "2026-09-01", "endDate": "2026-09-23"}}),
});
const payload = await res.json();
if (payload.code === 200) {
console.log(payload.data);
}
String body = """
{
"apiCode": "llm.topic",
"data": {
"brandId": "brand-001",
"llmName": "deepseek",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
}
""";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://geobaseapi.aibase.com/v1/openapi/execute"))
.header("Content-Type", "application/json")
.header("AIBase-API-Key", "AIBase_xxxxxxxxxxxxxxxx")
.header("AIBase-Request-Id", "req-20260924-001")
.POST(BodyPublishers.ofString(body))
.build();
HttpResponse<String> response = HttpClient.newHttpClient()
.send(request, BodyHandlers.ofString());
System.out.println(response.body());
{
"code": 200,
"msg": "成功",
"data": {
"品牌口碑": [
{
"topicName": "品牌口碑",
"llmName": "deepseek",
"visibilityRatePercent": 78.2,
"top3Rate": 85.5,
"hitCount": 120,
"position": 1.6
}
],
"产品对比": [
{
"topicName": "产品对比",
"llmName": "chatgpt",
"visibilityRatePercent": 55.1,
"top3Rate": 72.6,
"hitCount": 64,
"position": 2.8
}
]
},
"timeStamp": 1788830174812
}
查询指定品牌在指定时间范围内各 AI 平台的业务主题分布表现，按主题（
完整响应类型可表示为
可按以下 TypeScript 类型定义解析响应数据。
topicName）分组返回各平台在主题下的曝光率、Top3 占比率、有效命中AI对话问题数量与平均提及位次，便于分析不同业务主题在各平台的分布情况。
执行模式：SYNC · 实时请求。
请求发出后服务端同步执行业务，结果直接在当前响应的
data 中返回，不存在异步任务、无需轮询、无需二次查询。接口速查
| 项目 | 当前接口约定 |
|---|---|
| 接口状态 | 已上线 |
| 请求方式 | POST |
| 请求地址 | https://geobaseapi.aibase.com/v1/openapi/execute |
| 业务标识 | llm.topic |
| 执行模式 | SYNC · 实时请求（直接返回，无需轮询） |
| 身份认证 | Header AIBase-API-Key |
| 请求格式 | application/json |
| 返回结构 | 按主题分组（主题名 → 统计数组） |
请求头
string
required
开发者 API Key，例如
AIBase_xxx。用于身份认证、有效期与调用权限校验，请仅在服务端保存和使用。string
required
固定为
application/json。string
开发者自定义请求 ID，用于请求追踪；不传时系统自动生成 UUID。
请求体
string
required
固定为
llm.topicstring
required
所属品牌 ID，为空返回
4001string
按 AI 平台筛选，如
deepseek；不传返回全部平台string
格式
yyyy-MM-dd；默认最近 7 天string
格式
yyyy-MM-dd；默认今天，不能晚于今天时间范围规则：
startDate/endDate 不传时默认查询最近 7 天；endDate 晚于今天会被自动截断为今天；起止时间跨度最大 6 个月；开始日期晚于结束日期将直接报错。curl --location 'https://geobaseapi.aibase.com/v1/openapi/execute' \
--header 'Content-Type: application/json' \
--header 'AIBase-API-Key: AIBase_xxxxxxxxxxxxxxxx' \
--header 'AIBase-Request-Id: req-20260924-001' \
--data '{
"apiCode": "llm.topic",
"data": {
"brandId": "brand-001",
"llmName": "deepseek",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
}'
import os
import requests
api_key = os.environ["AIBASE_API_KEY"]
headers = {
"AIBase-API-Key": api_key,
"Content-Type": "application/json",
"AIBase-Request-Id": "req-20260924-001",
}
res = requests.post(
"https://geobaseapi.aibase.com/v1/openapi/execute",
headers=headers,
json={"apiCode": "llm.topic", "data": {"brandId": "brand-001", "llmName": "deepseek", "startDate": "2026-09-01", "endDate": "2026-09-23"}},
timeout=60,
)
res.raise_for_status()
payload = res.json()
if payload["code"] == 200:
print(payload["data"])
const res = await fetch("https://geobaseapi.aibase.com/v1/openapi/execute", {
method: "POST",
headers: {
"Content-Type": "application/json",
"AIBase-API-Key": process.env.AIBASE_API_KEY,
"AIBase-Request-Id": "req-20260924-001",
},
body: JSON.stringify({"apiCode": "llm.topic", "data": {"brandId": "brand-001", "llmName": "deepseek", "startDate": "2026-09-01", "endDate": "2026-09-23"}}),
});
const payload = await res.json();
if (payload.code === 200) {
console.log(payload.data);
}
String body = """
{
"apiCode": "llm.topic",
"data": {
"brandId": "brand-001",
"llmName": "deepseek",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
}
""";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://geobaseapi.aibase.com/v1/openapi/execute"))
.header("Content-Type", "application/json")
.header("AIBase-API-Key", "AIBase_xxxxxxxxxxxxxxxx")
.header("AIBase-Request-Id", "req-20260924-001")
.POST(BodyPublishers.ofString(body))
.build();
HttpResponse<String> response = HttpClient.newHttpClient()
.send(request, BodyHandlers.ofString());
System.out.println(response.body());
返回参数
业务结果位于data，为按主题名称（topicName）分组的结构，每个主题对应该主题下各 AI 平台的统计数组。无数据时 data 为空对象 {}。
本接口
data 为按名称分组的映射结构：下表中的 <分组名>[] 表示各分组下的统计数组，实际键名为动态值（平台名 / 主题名 / 意图名 / AI 对话问题文本）。object
键为主题名称，值为该主题下各平台的统计数组。
string
业务主题名称。
string
AI 平台名称。
number
该主题下品牌的曝光率（%）。
number
品牌在该主题的 Top3 占比率（%）。
integer
该主题下有效命中的 AI 对话问题数量。
number
品牌在该主题的平均提及位次。
{
"code": 200,
"msg": "成功",
"data": {
"品牌口碑": [
{
"topicName": "品牌口碑",
"llmName": "deepseek",
"visibilityRatePercent": 78.2,
"top3Rate": 85.5,
"hitCount": 120,
"position": 1.6
}
],
"产品对比": [
{
"topicName": "产品对比",
"llmName": "chatgpt",
"visibilityRatePercent": 55.1,
"top3Rate": 72.6,
"hitCount": 64,
"position": 2.8
}
]
},
"timeStamp": 1788830174812
}
接入注意事项
apiCode必须固定为llm.topic。brandId为必填参数，为空返回4001（所需参数不足）。startDate/endDate格式必须为yyyy-MM-dd，默认最近 7 天，最大查询跨度 6 个月。- 返回结构为「主题名称 → 统计数组」的分组对象；无数据时
data为空对象{}，解析时做好空值兼容。 - 同一主题下可能包含多个 AI 平台的统计记录。
hitCount为有效命中 AI 对话问题数量，position为平均提及位次。
Java 返回对象
Java 返回对象
public class TopicLlmStat {
private String topicName;
private String llmName;
private BigDecimal visibilityRatePercent;
private BigDecimal top3Rate;
private Long hitCount;
private BigDecimal position;
}
ReturnResult<Map<String, List<TopicLlmStat>>>（ReturnResult 定义见 6.2.5）。TypeScript 类型
TypeScript 类型
export interface TopicLlmStat {
topicName: string;
llmName: string;
visibilityRatePercent: number | null;
top3Rate: number | null;
hitCount: number;
position: number | null;
}
export type LLMTopicResult = Record<string, TopicLlmStat[]>;
本页的 cURL 与 Java 示例来自官方接口文档；Python 与 Node.js 示例为等价转写，未经服务端联调，请以实际返回结果为准。