Updating custom fields in Go High Level

Modified on Mon, 14 Jul, 2025 at 3:50 PM

How to use the data extraction tool to update user details in Go High level


Purpose

The Data Extraction Tool feature allows your AI assistant to extract important information from conversations—such as budget, service interest, location, or timeline — and automatically update custom fields in your Go High Level (GHL) CRM. This keeps your lead records detailed, actionable, and ready for automation or follow-up.



FAQs

Q: How does the AI update custom fields in GHL?
A: The AI uses a data extraction tool that identifies key details from the conversation and maps them to custom fields in your GHL contact record using tags or API calls.

Q: What kind of data can be extracted and updated?
A: Any relevant detail—such as Age, budget, project type, urgency, location, or preferences—can be extracted and stored in corresponding custom fields in GHL.

Q: Do I need to create the custom fields in GHL first?
A: Yes. You must first create the custom fields inside your GHL CRM. Once they exist, the AI can populate them automatically based on extracted data.

Q: When does the AI extract and update the information?
A: The AI does this in real-time during or right after the call, depending on when the data is mentioned or confirmed in the conversation.

Q: Can I trigger automations based on the updated custom fields?
A: Absolutely. Once custom fields are updated, you can use them as triggers in GHL workflows to send follow-ups, change pipeline stages, or alert team members.

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