81/100
average local presence
14
duplicate listings resolved
+210
network reviews / quarter
All use cases
Use case
Multi-location networks: a consistent local presence at every outlet
Challenge
A multi-outlet brand accumulates duplicate listings, outdated hours and diverging descriptions from one location to the next. Each inconsistency weakens trust, confuses Google and prevents AI agents from telling the brand apart from its outlets. Head office has no overview: there is no way to know which outlet is invisible or which one performs.
Approach
We build an aggregated view per outlet: completeness, NAP consistency, reviews and structured data, with a composite score per location and cross-network prioritization. We fix the highest-potential outlets first, harmonize entity signals at both brand and local level, then track progress location by location in a single dashboard.
What we bring under control
- ✓Duplicates and ghost listings per outlet
- ✓NAP consistency brand ↔ outlets
- ✓Composite scoring and cross-network prioritization
- ✓Unified progress tracking location by location
Take back control of your local presence
Multi-location audit and per-outlet prioritization.
Typical targets (sector benchmarks)
14
Duplicate listings resolved
52 → 81 / 100
Average local presence score
9 → 2
Outlets below the critical threshold
+210
Reviews collected across the network (quarter)
2025-2026 sector benchmarks (Ahrefs, BrightLocal, PowerReviews, G2) · digitalyser.io target outcomes
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