> For the complete documentation index, see [llms.txt](https://helpdocumentation.gitbook.io/user/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://helpdocumentation.gitbook.io/user/messaging-channels/google-rcs-india/apply-for-rcs-agent-bot-for-your-brand.md).

# Apply For RCS Agent / Bot For Your Brand ?

### **Things Required For RCS Onboarding -**&#x20;

1. Website - test1.com&#x20;
2. Email Id with website domain ( outgoing mail from this will be required ) - <a@test1.com>
3. Contact form / checkout page with clear optin message with checkbox
4. Gst certificate / Udyam Aadhar of the brand
5. Aadhar / passport of the brand owner - name and number
6. Logo - Square - 224 x 224 max 50 kb size - jpeg / png
7. Banner 1440 wide x 448 pixels height max 200 kb size
8. Privacy policy and terms on your website
9. Sample actual message

### Application Process

* Start a new application by entering the brand name, website, logo, legal documents, and contact details using the required formats.
* Specify the RCS agent title and description—these cannot be changed after submission.
* Select the use case (marketing, transactional, or OTP). Marketing agents can only send up to 4 promotional messages/month between 7 AM and 10 PM, while transactional and OTP agents can send messages 24/7 with no such limits.
* Set the agent’s theme color, upload images in specified sizes, and fill contact info, privacy policy, terms URLs, and opt-in URL.
* Compose and submit an actual message (with optional media and buttons) to demonstrate real usage in your opt-in form.

### Review & Approval

* Applications go through two review stages: an internal check, then operator approval.
* After review, applicants receive an email to which they must reply with provided content to confirm intent and compliance.
* Once all steps are completed, approval typically takes 3–7 days.

This ensures RCS agents are set up professionally, compliantly, and with safeguards for brands and customers alike in the Indian market.

{% embed url="<https://youtu.be/qBPuPPqAOYY>" %}


---

# 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://helpdocumentation.gitbook.io/user/messaging-channels/google-rcs-india/apply-for-rcs-agent-bot-for-your-brand.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.
