GoHighLevel Conversation AI API Guide

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GoHighLevel Conversation AI Public API How-To Guide

This step-by-step guide explains how to use the GoHighLevel Conversation AI Public API to send and receive AI-generated messages inside the platform. While project-management tools like ClickUp help you organize tasks, the GoHighLevel Conversation AI API lets you automate two-way conversations across SMS and email using your own AI models and custom prompts.

All instructions below are based directly on the official GoHighLevel documentation for the Conversation AI Public API. Follow these steps carefully to integrate the API into your own applications or workflows.

What is the GoHighLevel Conversation AI Public API?

The Conversation AI Public API is an HTTP-based interface that lets you programmatically send messages into a conversation thread and have an AI assistant respond. The assistant uses prompts and settings defined in your GoHighLevel account and returns an AI-generated reply back into the same conversation.

Key capabilities include:

  • Sending messages into a specific contact conversation via API
  • Triggering an AI assistant response using predefined settings
  • Managing messaging channels, such as SMS and email
  • Controlling which AI configuration is used for a given request

Prerequisites for Using GoHighLevel Conversation AI

Before calling the Conversation AI Public API, certain configurations must already be in place inside your GoHighLevel account.

1. Enable Conversation AI in GoHighLevel

First, ensure that Conversation AI is enabled in your sub-account or agency account. You should have access to:

  • A Conversation AI configuration (or multiple configurations)
  • Associated prompts and settings for AI behavior
  • Required permissions and API access

If Conversation AI is not enabled, contact your account administrator or support team.

2. Obtain API Credentials from GoHighLevel

You will need authentication credentials to securely call the Conversation AI Public API. Depending on your setup, this may involve:

  • API keys or tokens issued by your GoHighLevel account
  • Appropriate permissions scoped to the sub-account where Conversation AI is configured

Store these credentials securely and never expose them in client-side code.

GoHighLevel Conversation AI Public API Endpoint

The Conversation AI Public API exposes an HTTP endpoint where you send message payloads. The official endpoint and specifications are documented on the GoHighLevel help center:

View the official GoHighLevel Conversation AI Public API documentation

Use HTTPS for all requests to ensure secure communication.

How to Send a Message with GoHighLevel Conversation AI

To trigger an AI response in a specific contact’s conversation, you will send a POST request with a JSON body. The request must include contact information, message details, and the Conversation AI configuration you want to use.

Step 1: Identify the Contact and Conversation

The API request must specify which contact and conversation should receive the message. Common fields include:

  • Contact identifier (such as contact ID or phone/email, depending on the endpoint definition)
  • Channel (for example, SMS or email)
  • Sub-account or location ID where the conversation resides

Confirm the exact field names and formats from the official specification page.

Step 2: Select the GoHighLevel Conversation AI Configuration

You can control which AI settings are used by specifying a configuration or assistant identifier in the payload. This configuration typically determines:

  • The system prompt and instructions for the AI
  • Model choice and AI provider linked inside GoHighLevel
  • Allowed channels and behavior settings (for example, auto-reply behavior)

Use the ID or reference value provided in your Conversation AI settings.

Step 3: Build the Request Payload

Construct a JSON payload that includes:

  • Message content: the text you want to send into the conversation
  • Sender type: such as user, contact, or system, depending on the API structure
  • Configuration reference: links the request to a specific Conversation AI setup in GoHighLevel
  • Channel and contact details: so the API knows where to deliver the AI response

Always follow the exact structure from the official schema. Include only supported fields to avoid validation errors.

Step 4: Authenticate the Request

Include your GoHighLevel API credentials as defined in your account. This often means adding:

  • An Authorization header with your token
  • Any additional headers required by the GoHighLevel API, such as content type

All requests should use Content-Type: application/json with a properly formatted JSON body.

Step 5: Send the Request and Handle the Response

Once the request is sent, the API will:

  1. Create or update a conversation thread for the specified contact
  2. Log the incoming message within the conversation
  3. Generate an AI response based on your Conversation AI configuration
  4. Return details of the created messages and AI activity in the HTTP response

In your application, log the response body and status code. If the API call fails, use the error message to correct your payload or authentication settings.

Managing GoHighLevel Conversation AI Behavior

How the AI responds is fully controlled within your GoHighLevel account, not in the individual API call. You manage behavior by editing:

  • Prompts: define how the AI should speak, what it should and should not do, and any business rules
  • Routing rules: decide which channels are active and when AI should reply
  • Model settings: choose the underlying AI model and performance parameters

After you adjust these settings, subsequent API-triggered conversations will follow the updated behavior.

Best Practices for Implementing the GoHighLevel Conversation AI API

Validate Payloads Before Sending

To avoid runtime errors, validate payloads against the structure described in the official GoHighLevel help article. Check:

  • Required fields are present
  • Data types match expectations (strings, IDs, etc.)
  • Channel values match supported options

Log Requests and Responses

Keep a secure log of:

  • Outgoing payloads to the Conversation AI Public API
  • Returned status codes and response bodies

This makes it easier to diagnose misconfigurations or unexpected AI behavior.

Use Test Contacts in GoHighLevel

Always test your Conversation AI flows using internal or dummy contacts before going live. This allows you to:

  • Validate that messages appear correctly in the GoHighLevel conversation view
  • Confirm that AI responses follow your prompts and tone
  • Ensure the correct configuration ID is used

Troubleshooting the GoHighLevel Conversation AI Public API

If your integration does not behave as expected, follow these checks:

  • Verify your API credentials are valid and active
  • Confirm the contact and channel information exist inside your GoHighLevel account
  • Ensure the Conversation AI configuration you reference is enabled
  • Compare your payload against the latest example on the official documentation page

You can also review logs in your GoHighLevel sub-account to see how messages and AI responses are being recorded.

Where to Learn More About GoHighLevel Conversation AI

For the most accurate and updated technical reference, always consult the official documentation:

GoHighLevel Conversation AI Public API official guide

If you need implementation help or want strategic advice on automation, you can also work with a specialized consulting partner such as Consultevo, which focuses on advanced CRM setups and automation workflows.

Conclusion: Start Automating with GoHighLevel Conversation AI

By using the Conversation AI Public API in GoHighLevel, you can connect custom applications, external systems, or custom chat tools directly into your CRM conversations. With the right prompts and configurations, the AI assistant can manage replies, qualify leads, and streamline communication with your contacts.

Follow the steps in this guide, reference the official endpoint documentation, and thoroughly test with sample contacts to ensure reliable performance. Once your integration is stable, you can confidently scale automated messaging across your GoHighLevel environment.

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