AI 对话问题总览

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": "prompt.analysis.overview",
    "data": {
      "brandId": "brand-001",
      "competitorName": "某某品牌",
      "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": "prompt.analysis.overview", "data": {"brandId": "brand-001", "competitorName": "某某品牌", "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": "prompt.analysis.overview", "data": {"brandId": "brand-001", "competitorName": "某某品牌", "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": "prompt.analysis.overview",
  "data": {
    "brandId": "brand-001",
    "competitorName": "某某品牌",
    "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": [
    {
      "promptId": "prompt-001",
      "promptText": "哪个品牌的XX比较好？",
      "topicName": "品牌口碑",
      "visibilityRatePercent": 85.5,
      "avgPosition": 1.6,
      "brandRate": 42.3,
      "competitorsTop3": "竞品A,竞品B,竞品C",
      "sentimentScore": 82.5,
      "visibilityTrend": [
        { "queryDate": "2026-09-17", "value": 8 },
        { "queryDate": "2026-09-23", "value": 12 }
      ],
      "positionTrend": [
        { "queryDate": "2026-09-17", "value": 2 },
        { "queryDate": "2026-09-23", "value": 1 }
      ],
      "brandShareTrend": [
        { "queryDate": "2026-09-17", "value": 38.1 },
        { "queryDate": "2026-09-23", "value": 42.3 }
      ]
    }
  ],
  "timeStamp": 1788830174812
}

POST

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": "prompt.analysis.overview",
    "data": {
      "brandId": "brand-001",
      "competitorName": "某某品牌",
      "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": "prompt.analysis.overview", "data": {"brandId": "brand-001", "competitorName": "某某品牌", "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": "prompt.analysis.overview", "data": {"brandId": "brand-001", "competitorName": "某某品牌", "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": "prompt.analysis.overview",
  "data": {
    "brandId": "brand-001",
    "competitorName": "某某品牌",
    "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": [
    {
      "promptId": "prompt-001",
      "promptText": "哪个品牌的XX比较好？",
      "topicName": "品牌口碑",
      "visibilityRatePercent": 85.5,
      "avgPosition": 1.6,
      "brandRate": 42.3,
      "competitorsTop3": "竞品A,竞品B,竞品C",
      "sentimentScore": 82.5,
      "visibilityTrend": [
        { "queryDate": "2026-09-17", "value": 8 },
        { "queryDate": "2026-09-23", "value": 12 }
      ],
      "positionTrend": [
        { "queryDate": "2026-09-17", "value": 2 },
        { "queryDate": "2026-09-23", "value": 1 }
      ],
      "brandShareTrend": [
        { "queryDate": "2026-09-17", "value": 38.1 },
        { "queryDate": "2026-09-23", "value": 42.3 }
      ]
    }
  ],
  "timeStamp": 1788830174812
}

查询指定品牌下 AI 对话问题在各 AI 平台的监测总览。按问题维度汇总曝光度、平均位次、AI 声量、情感得分与 Top3 竞品，并附带曝光趋势、位次趋势与 AI 声量占比趋势。返回结构为数组而非分页。

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	`prompt.analysis.overview`
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	数组结构

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 prompt.analysis.overview

string

required

所属品牌 ID，为空返回 4001

string

required

目标品牌名称（用于竞品识别与 AI 声量计算），为空返回 4001

string

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

时间范围规则与 prompt.analysis.detail 一致：不传默认最近 7 天；endDate 晚于今天自动截断为今天；起止跨度最大 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": "prompt.analysis.overview",
    "data": {
      "brandId": "brand-001",
      "competitorName": "某某品牌",
      "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": "prompt.analysis.overview", "data": {"brandId": "brand-001", "competitorName": "某某品牌", "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": "prompt.analysis.overview", "data": {"brandId": "brand-001", "competitorName": "某某品牌", "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": "prompt.analysis.overview",
  "data": {
    "brandId": "brand-001",
    "competitorName": "某某品牌",
    "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，为数组结构，按问题维度聚合。无数据时 data 为 null。

object[]

按问题维度聚合的总览数据，无数据时为 null。

string

问题唯一标识。

string

AI 对话问题文本。

string

所属主题名称。

number

品牌曝光度（%）。

number

品牌在该问题下的平均排名位次。

number

AI 声量（%）。

string

回答中出现的前 3 个竞品，逗号分隔。

number

情感得分。

object[]

曝光趋势点列表，元素含 queryDate（yyyy-MM-dd）与 value。

object[]

位次趋势点列表，元素含 queryDate 与 value。

AI 声量占比趋势点列表，元素含 queryDate 与 value。

{
  "code": 200,
  "msg": "成功",
  "data": [
    {
      "promptId": "prompt-001",
      "promptText": "哪个品牌的XX比较好？",
      "topicName": "品牌口碑",
      "visibilityRatePercent": 85.5,
      "avgPosition": 1.6,
      "brandRate": 42.3,
      "competitorsTop3": "竞品A,竞品B,竞品C",
      "sentimentScore": 82.5,
      "visibilityTrend": [
        { "queryDate": "2026-09-17", "value": 8 },
        { "queryDate": "2026-09-23", "value": 12 }
      ],
      "positionTrend": [
        { "queryDate": "2026-09-17", "value": 2 },
        { "queryDate": "2026-09-23", "value": 1 }
      ],
      "brandShareTrend": [
        { "queryDate": "2026-09-17", "value": 38.1 },
        { "queryDate": "2026-09-23", "value": 42.3 }
      ]
    }
  ],
  "timeStamp": 1788830174812
}

接入注意事项

apiCode 必须固定为 prompt.analysis.overview。
brandId、competitorName 均为必填参数，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。
返回结构为数组（非分页对象）；无数据时 data 为 null，解析时做好空值兼容。
三个趋势字段（visibilityTrend、positionTrend、brandShareTrend）为数组，无趋势数据时为空数组。
visibilityRatePercent、brandRate 为百分比数值。
趋势按查询日期升序排列，可直接用于图表绘制。

Java 返回对象

public class PromptAnalysis {
    private String promptId;
    private String promptText;
    private String topicName;
    private BigDecimal visibilityRatePercent;
    private BigDecimal avgPosition;
    private BigDecimal brandRate;
    private String competitorsTop3;
    private BigDecimal sentimentScore;
    private List<TrendPoint> visibilityTrend;
    private List<TrendPoint> positionTrend;
    private List<TrendPoint> brandShareTrend;
}

public class TrendPoint {
    private LocalDate queryDate;
    private BigDecimal value;
}

完整响应类型可表示为 ReturnResult<List<PromptAnalysis>>（ReturnResult 定义见 6.2.5）。

TypeScript 类型

export interface PromptAnalysis {
  promptId: string;
  promptText: string;
  topicName: string | null;
  visibilityRatePercent: number | null;
  avgPosition: number | null;
  brandRate: number | null;
  competitorsTop3: string | null;
  sentimentScore: number | null;
  visibilityTrend: TrendPoint[];
  positionTrend: TrendPoint[];
  brandShareTrend: TrendPoint[];
}

export interface TrendPoint {
  queryDate: string;
  value: number;
}

可按以下 TypeScript 类型定义解析响应数据。

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。

快速开始

品牌与竞品

AI 对话问题

引用来源

总览与平台表现

Agent Skill

语言示例

公共规范

接口速查

请求头

请求体

返回参数

接入注意事项

​接口速查

​请求头

​请求体

​返回参数

​接入注意事项

接口速查

请求头

请求体

返回参数

接入注意事项