> For the complete documentation index, see [llms.txt](https://help.citrusad.com/retail-media-interface/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.citrusad.com/retail-media-interface/partner/ko/suggested-search-term-api/suggestedsearchterm.md).

# 추천 검색어

추천 검색어 API는 캠페인 타겟팅을 개선하기 위해 제품을 관련 키워드와 연결하도록 도와줍니다. 리테일러는 일반적으로 파일 형태로 이러한 용어를 제공하며, 이 용어들은 캠페인 생성 프로세스 중 특히 검색어 단계에서 사용자에게 표시됩니다. 이 기능은 제품 노출수와 성과를 향상시키는 효과적인 키워드를 추천하여 캠페인 설정을 간소화합니다. 이 API를 사용하면 카탈로그 ID 및 제품 코드와 같은 매개변수를 기반으로 카탈로그 타겟팅에 대한 모든 추천 검색어를 조회할 수 있습니다.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://help.citrusad.com/retail-media-interface/partner/ko/suggested-search-term-api/suggestedsearchterm.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.