The AI Assistant understands natural language. You don't need to use specific syntax, field names, or commands. A few patterns make questions consistently more useful.
Always include a time period for performance questions
Questions about social performance, reviews, publishing activity, and GBP all require a date range. If you don't include one, the assistant will ask you to clarify before it can answer.
Plain language works for dates. "Last month," "Q1 2026," "the past 30 days," and "April 1 to April 30" all work exactly as you'd expect. You don't need to format dates in any particular way.
Good: "How did our Facebook engagement trend in April compared to March?"
Less useful: "How is our engagement?" — no time period, so the assistant has to ask.
Name the location when you want single-location data
If you don't specify a location, the assistant defaults to aggregated data across your entire network. This is usually what you want for a network health check. If you want to drill into a specific franchise, mention it by name.
"Show me the reputation score for the Chicago location in Q1" and "Show me the reputation score in Q1" will return different things — the first is a single location, the second is a network average.
Ask for comparisons directly
The assistant handles comparisons well. You don't need to ask two separate questions and calculate the difference yourself.
"Compare our Instagram vs Facebook audience growth across all locations last quarter."
"Which locations saw the biggest drop in engagement in the last 30 days?"
"How did Q1 2026 compare to Q1 2025 for review volume?"
Use follow-up questions to drill down
The assistant remembers context within a conversation. If you establish a time period or location early, follow-up questions don't need to repeat it.
For example: "Give me a performance overview for all locations in April" followed by "Which ones had the lowest engagement?" — the assistant knows you're still talking about April and still talking about all locations.
Starting a new conversation resets the context. If you're switching to a different brand, time period, or topic, it's often cleaner to start fresh.
Ask for what you actually want to know
The assistant works best when you ask the real business question rather than trying to describe a data query. "Which locations should I prioritize this week based on their reputation?" will get you a more useful answer than "Show me all review metrics for all locations."
If the first answer doesn't have the level of detail you need, ask a follow-up. "Break that down by platform" or "Show me just the ones below 4.0" both work.
Be specific about the brand if you manage multiple brands
If your PromoRepublic account covers multiple brands and you want data for a specific one, mention the brand name. The assistant will filter accordingly.
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