Reply Agent Setup helps your team configure automated review-response workflows inside the Localith ai google review reply tool.
Overview
Use this guide when you are setting up review-reply automation for the first time or restructuring how replies should move through Localith.
The goal is to get a usable response workflow live quickly while keeping the right level of control for your brand. Depending on your setup, that can mean a standard auto-responder flow, a more dynamic AI-driven flow, or a mix of automation plus approval.
Before you start
Before you configure the reply agent, make sure:
- your Google Business Profiles are already connected in Localith
- you know which locations should use the same reply logic
- your team has decided which cases can move automatically and which should stay in approval
- you know whether you want a standard template-style automation or an AI-driven workflow
If you need the approval logic after setup, continue with Approval Rules.
Standard auto-responder setup
The support flow we have today starts from the automations area for responses.
- Open Responses in Localith.
- Go to Automations and click Create automation.
- Choose the Google accounts and locations you want the automation to cover.
- Select the review conditions the automation should respond to.
- Choose Default message if you want a more standard auto-responder flow.
- Add the message content and save the automation.
- Review the automation after it starts running and adjust the rules if needed.
Set up the AI-driven reply flow
If you want replies to adapt more closely to the review itself, configure the workflow to use the AI option instead of a fixed message.
- Start the same automation setup flow in Responses > Automations.
- Choose the accounts and locations you want to include.
- Define the review conditions the automation should watch.
- Choose AI Agent instead of Default message.
- Configure the supporting settings your team uses for tone, language, and approval.
- Save the automation and review its behavior on a limited set of locations before scaling it.
This path is best when your team wants faster, more context-aware drafts instead of identical reply templates.
Decide what should stay in approval
Setup is not only about turning automation on. It is also where you decide how much human review your team still needs.
As a practical rule:
- routine, low-risk reviews can move faster
- sensitive complaints or edge cases should still route to approval
- tone, brand, and escalation expectations should be clear before you scale to more locations
If you need more control, use Approval Rules after the initial setup is complete.
Pause, update, or refine the setup later
After the automation is live, treat the first setup as a starting point rather than the final version.
- revisit the covered locations if teams need different rules
- adjust the review conditions if too many reviews are being handled the same way
- refine the tone and escalation logic when the workflow grows
Tips and best practices
- Start with a limited location group before you scale the reply workflow widely.
- Decide early which review scenarios should never post automatically without human review.
- Keep the owner of the workflow clear so automation changes do not happen without oversight.
- Pair Reply Agent Setup with Approval Rules and Tone & Language Settings so the workflow stays controlled as volume grows.
Limits or edge cases
- A response workflow still needs owner review when brand, legal, or customer-service sensitivity is high.
- Different brands or client accounts may need different automation logic.
- The safest rollout is usually a smaller pilot before you expand the automation to every location.
Common questions
What is the difference between Default message and AI Agent?
Default message is the simpler automation path. AI Agent is the more dynamic path for context-aware response generation.
Can I change the setup later?
Yes. You can revisit locations, conditions, and automation settings as your workflow matures.
Should I automate every review immediately?
Most teams start smaller and keep at least some categories of reviews inside a manual approval path.