Knowledge Base
A practical help center covering the product, AI visibility concepts, tools, credits, reports, methodology, privacy, and troubleshooting. Use it before your first scan, after reading a report, or when you need to understand what a score or signal means.
Recommended Workflows
Multi-location and multi-brand teams need clean entity separation. Each brand, outlet, or service area should be tested and interpreted in the right context.
If a group owns several restaurants, clinics, stores, or service brands, each one needs a clear business identity. Mixing several names into one scan makes it harder for AI to know which entity to assess.
The profile company also affects Dashboard matching, so the saved company should reflect the business the user wants to track.
Multi-location businesses should maintain clear location pages. Each page should identify the outlet, address, hours, contact method, services, booking path, and any location-specific proof.
This aligns with the broader local search principle that accurate location and service-area information matters. It also gives AI a cleaner citation target.
Start with the highest-value brand or outlet. Once the workflow is stable, repeat for other locations using consistent naming, source selection, and reporting cadence.
Agencies and operators should avoid combining unrelated brands into one dashboard. Portfolio visibility is easier to manage when each entity has its own baseline.