GoHighLevel automates community join request screening with AI
GoHighLevel shipped a new workflow trigger for community admins that removes manual review from the join request process. If you run a gated community inside GHL, this one is worth setting up.
What the New Trigger Does
The Requested to Join Group trigger fires every time a user submits a join request for a community group. From there, admins can build automations around the full request lifecycle: screen it, route it, approve it, or flag it for human review.
The key addition is that membership question responses are available as filter fields. Once you select a group, every membership question configured for that group appears as a filter inside the workflow. You can branch logic on what applicants actually wrote.
AI Screening Built In
Admins can pass membership question answers into a GPT prompt inside the workflow. The example use case is spam detection: check whether a submitted answer looks like gibberish or a low-quality response. Based on the GPT output, an If/Else condition can automatically grant group access or route the request to manual review.
Note that GPT actions carry additional charges per execution.
Setup in Brief
- Create a new workflow and add the Requested to Join Group trigger.
- Select the target group. Membership questions for that group populate automatically as filter fields.
- Optionally add a GPT action to evaluate responses.
- Use If/Else conditions to branch on GPT output or raw response values.
- Add actions: Grant Group Access, send a welcome message, or tag the contact.
The member-facing experience does not change. The automation runs entirely behind the scenes.
A Few Caveats
- The trigger only fires on join requests, not direct joins. The group must have request-based access enabled.
- Membership question filters update dynamically based on the questions configured for the selected group.
- GPT actions cost extra per execution, so factor that into your workflow design if volume is high.
Previously there was no way to connect join request data to GHL workflow automations at all. For admins managing high-volume or quality-sensitive communities, this closes a real gap.
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