> For the complete documentation index, see [llms.txt](https://tvingads.gitbook.io/guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://tvingads.gitbook.io/guide/solution/kbo/sponsorship/big-v-ad.md).

# 빅 가상광고

{% columns %}
{% column %}

<figure><img src="/files/8i5adptfVKjN5uPowhoa" alt=""><figcaption></figcaption></figure>
{% endcolumn %}

{% column %}

<figure><img src="/files/QqnLlkcPTPFTWBvd2XEA" alt=""><figcaption></figcaption></figure>
{% endcolumn %}
{% endcolumns %}

{% hint style="success" %}
**경기 화면 위에 디지털 오버레이 방식으로 송출하는 5초 분량의 플래시 형태의 광고**
{% endhint %}

<table data-first-column-sticky><thead><tr><th width="121">구분</th><th>내용</th></tr></thead><tbody><tr><td><strong>대상프로그램</strong></td><td><ul><li><strong>슈퍼매치 only</strong></li></ul></td></tr><tr><td><strong>상품 특징</strong></td><td><ul><li>시청 흐름을 방해하지 않는 자연스러운 구간에 <strong>TVC 대비 2배 확장</strong>된 사이즈로 주목도 있는 노출 가능</li></ul></td></tr><tr><td><strong>상품 단가</strong></td><td><ul><li><strong>3천만 원 (4주간 약 48회 노출 / 경기당 6회)</strong></li></ul></td></tr></tbody></table>


---

# 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://tvingads.gitbook.io/guide/solution/kbo/sponsorship/big-v-ad.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.