观察消费者看到的搜索体验
要衡量用户在 AI 搜索中看到的推荐和引用，应观察消费者页面。API 会返回回答、来源、耗时和页面特有数据。
统一提交方式，不同引擎的响应结构
向 POST /v1/async/task 发送 taskType 和 payload，再通过 Webhook 或轮询获取结果。搜索词、Google 搜索结果和 Naver 商品卡是不同字段。
复现不同市场的比较
在 payload.country 中指定市场代码，用目标语言编写问题，并保存问题、国家和采集时间，重复同一组问题进行比较。
比较 AI 搜索引擎的引用
将同一问题发送到多个引擎，分别保存回答正文、AI 引用和普通搜索结果。用 Monitors 持续追踪，用 Source Influence 检查引用依据。
Compare citations across AI search engines
Submit the same earbud recommendation prompt to ChatGPT, Gemini and Perplexity, then include Naver AI Briefing and AI Tab for Korean market research. Store prose, citations and shopping cards separately to compare which products each engine recommends.
- Store the answer with its taskType, prompt, country and collection time.
- Group source URLs by domain while counting AI citations separately from organic results.
- Use Monitors for recurring brand tracking and Source Influence to check whether cited pages support the answer.
Your first request
Start with GEMINI to verify your integration, then apply the input fields and response schema for each engine.
{
"taskType": "GEMINI",
"payload": {
"prompt": "通勤无线耳机推荐",
"country": "CN"
}
}