GoHighLevel AI Action Logging Guide

/ CRM, GHL / By

GoHighLevel AI Action Logging & Filtering How-To

This step-by-step guide explains how to use AI action logging and filtering in GoHighLevel Conversations. If you previously documented similar workflows in ClickUp, this article will help you translate those processes into the GoHighLevel interface so you can efficiently track and audit AI-generated replies.

AI replies inside the Conversations section are now logged as specific AI actions. With the right filters and views, you can see when AI was used, what it produced, and how it behaved at a detailed level.

What Is AI Action Logging in GoHighLevel?

AI action logging in GoHighLevel records every time the system uses AI to generate or assist with a message in Conversations. Instead of treating AI replies like regular user messages, the platform now stores them as distinct AI actions, giving you more control and transparency.

This helps you:

  • Understand exactly when AI was triggered in a conversation thread.
  • Review the content of AI-generated replies for quality and compliance.
  • Filter and audit past AI usage across your GoHighLevel account.
  • Optimize internal workflows that depend on AI responses.

The logging is automatic, so once it is available in your account, each new AI reply creates a corresponding AI action record behind the scenes.

Where AI Actions Appear Inside GoHighLevel

AI actions primarily connect to the Conversations area in GoHighLevel. Any time an AI reply is created in a conversation, logging data is stored so that you can later filter, search, or audit that activity.

Key locations influenced by AI actions include:

  • Conversations list – AI replies appear as messages, but their underlying metadata is logged.
  • Conversation detail view – Threads that involved AI contain action records that can be surfaced through filters and logs.
  • AI usage and action reports – Depending on your access, you can analyze data associated with those logged events.

How to View AI Actions in GoHighLevel Conversations

Use the following process to see which conversations have AI-generated replies tied to logged AI actions.

Step 1: Open the Conversations Area in GoHighLevel

  1. Log in to your GoHighLevel account with appropriate permissions.
  2. From the left-hand navigation menu, click on Conversations.
  3. Wait for the list of recent conversations to load.

This is the central place where SMS, email, and other communication channels are displayed and where AI replies are generated.

Step 2: Identify AI-Generated Replies

Inside a conversation thread, AI replies are logged as special actions rather than only as plain text messages. While the front-end message might look similar to a standard reply, in the background GoHighLevel connects that reply to an AI action entry.

When reviewing messages:

  • Look for replies that were triggered by AI tools or workflows you configured.
  • Understand that each of these AI replies has a corresponding logged action record.

These records become important when you start filtering or exporting AI-specific activity for review.

Filtering AI Actions in GoHighLevel

Filtering AI actions lets you isolate conversations influenced by AI so you can monitor usage, train your team, or adjust prompts and workflows.

Step 3: Access Filters in Conversations

  1. Inside the Conversations screen, locate the filter controls (typically found above the list of conversations).
  2. Click the filter icon or button to open available filtering options.

The exact labels can vary slightly depending on interface updates, but AI-related filters are usually grouped with other message or action criteria.

Step 4: Apply AI Action Filters

Once the filter menu is open, use AI-specific options to narrow your view.

Common approaches include:

  • Filter by AI involvement – Show only conversations that contain at least one AI reply.
  • Filter by action type – Select AI-related action categories, if exposed in your account.
  • Combine filters – Mix AI filters with date ranges, channels, or users to build targeted reports.

After setting your filters, update or apply the filter set to refresh the conversation list. You will now see only threads that include logged AI actions.

Step 5: Review Individual AI Actions

From the filtered conversation list:

  1. Click on a conversation that appears in your filtered results.
  2. Scroll through the message timeline to find AI replies.
  3. Where supported by your interface, open detailed views or logs that correspond to each AI action.

This allows you to inspect:

  • The exact AI-generated message content.
  • Timestamps and context around when the AI was triggered.
  • Any additional internal metadata related to the AI action.

By examining these logs, you can refine prompts, update workflows, and catch issues early.

Practical Use Cases for GoHighLevel AI Logging

AI action logging unlocks several practical workflows in GoHighLevel, especially for teams that rely heavily on automated communication.

  • Compliance and audit trails – Keep a verifiable history of what AI said to leads or customers.
  • Quality assurance – Periodically filter for AI actions and spot-check replies for tone, accuracy, and brand voice.
  • Prompt optimization – Compare conversations before and after prompt changes by filtering AI usage in different time ranges.
  • Team training – Use AI action examples to teach staff how AI is expected to respond and when manual intervention is recommended.

Tips for Managing AI Actions in GoHighLevel

To get the most value from AI action logging and filtering, follow these practical tips:

  • Define review schedules – Set a recurring task (in your project tool or CRM) to review AI actions weekly.
  • Standardize prompts – Use consistent prompt templates and track changes, then compare AI behavior across time using filters.
  • Document internal rules – Maintain a short internal guide that explains when team members should rely on AI versus manual replies.
  • Use filters for troubleshooting – When a lead reports an odd message, quickly filter for AI actions around that time to confirm whether AI generated the reply.

Resources for Extending Your GoHighLevel Setup

For additional strategic guidance on implementing and scaling systems around GoHighLevel, you can review tutorials and consulting resources at Consultevo. They provide implementation support, optimization ideas, and systems design examples for agencies and businesses.

To see the original reference material for AI action logging and filtering, consult the official GoHighLevel documentation here: AI Action Logging & Filtering in Conversations. This external article provides the authoritative feature overview from the product team.

Conclusion: Controlling AI Replies in GoHighLevel

AI action logging and filtering give you better control over AI-generated replies inside GoHighLevel Conversations. By learning where AI actions appear, how to apply AI filters, and how to review individual replies, you gain a reliable audit trail for every automated message.

Incorporate the steps from this guide into your internal workflows, create regular review routines, and combine AI logs with broader reporting. Doing so will help you maintain quality, compliance, and performance as your GoHighLevel implementation grows.

Need Help With ClickUp?

If you want expert help building, automating, or scaling your GHL , work with ConsultEvo — trusted GoHighLevel Partners.

Scale GoHighLevel

“`