This article covers the most common ways franchise HQ teams and franchisees use the AI Assistant, with example questions for each.
Monitoring publishing compliance across the network
One of the most common HQ uses is checking which locations are underperforming on content. Rather than exporting a report and filtering it manually, you ask directly.
Example questions:
"Which locations published fewer than 4 posts in April?"
"Show me locations that haven't published anything in the last 30 days."
"Which franchisees have posts waiting for approval right now?"
"Are there any failed posts across the network this week?"
This is useful for CS teams running weekly location health checks, and for HQ marketing teams preparing for a campaign that requires franchisees to be active before launch.
Tracking reputation across the network
Reputation monitoring across 50, 100, or 200 locations is difficult to do manually. The assistant aggregates it on demand.
Example questions:
"What's our average rating across all locations this month?"
"Which locations have dropped below a 4.0 rating in the last 90 days?"
"How is our review response rate trending compared to last quarter?"
"Show me our rating breakdown by platform — Google vs Facebook — for all locations."
"What are the most recent 1-star reviews across the network?"
HQ teams use this to identify locations that need attention before problems compound.
Drafting review responses
If you ask the assistant to respond to a review, it will draft a reply in your brand's voice and submit it for approval. You review it before anything goes live.
Example:
"Draft a response to the most recent 1-star review for the Austin location."
"Reply to the last 5 unanswered Google reviews for the Dallas location."
The assistant applies your brand guidelines where configured and adapts the tone based on whether the review is positive, neutral, or negative.
Drafting posts for specific locations
If you ask the assistant to create a post for a specific location and page, it drafts the content and submits it as a proposal.
Example:
"Draft a Facebook post for the Toronto location announcing our summer hours, scheduled for Monday at 10am."
"Create an Instagram post for the Denver location promoting our new menu item, using this image URL."
Posts created by the assistant go to your Proposals queue — nothing publishes without your approval.
Identifying underperforming locations
Finding the outliers — locations lagging on posting, ratings, or visibility — used to require filtering and sorting in dashboards. The assistant surfaces them directly.
Example questions:
"Which locations have the lowest GBP views this month?"
"Which locations saw the biggest drop in engagement in the last 30 days?"
"Show me the 5 locations with the worst review response rate in Q1."
"Which locations are ranking below position 10 on Google Maps?"
This is particularly useful for regional managers or CS teams responsible for a subset of locations who need to quickly prioritize where to focus.
Content planning and campaign prep
Before planning a campaign or a content push, you can check what's coming up and what's already scheduled.
Example questions:
"What holidays and events are coming up in May that we could post about?"
"What campaigns are scheduled for June?"
"What posts are scheduled across all locations next week?"
"Which labels drove the most engagement last quarter?"
Answering ad-hoc questions from franchisees
Franchisees with access to the assistant can check their own data without navigating reports.
Example questions:
"How did my location perform on Facebook last month?"
"What posts do I have scheduled this week?"
"What's my average review rating this quarter?"
"Do I have any posts waiting for approval?"
This reduces inbound questions to CS teams and gives franchisees a faster path to their own performance data.
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