SECTOR · Multi-site retailers

The Brand Sovereignty OS for multi-site retailers

Twenty stores, twenty reputations. As your network expands across cities, each location becomes a stand-alone local brand: with its own reviews, its own pain-points and its own competitors. Estellar.AI gives you both an aggregated view and a per-location drill-down, in a single platform, without diluting your brand culture.

Sector-specific challenges

  • No aggregated view: impossible to know if the average-rating drop comes from 2 stores or the whole network.
  • Overloaded local managers: no time or training to reply to reviews in a consistent brand voice.
  • Undetected recurring issues: the same defect (slow checkout, cleanliness, welcome) can hit 12 stores without HQ seeing it.
  • Different competitors per city: impossible to run city-by-city competitive intelligence at scale.
  • Cross-network bad-buzz risk: one local incident can contaminate the whole brand on Google and ChatGPT.
  • Invisible AI presence per city: 'best [category] store in [city]' : in how many cities are you cited?

What Estellar delivers

  • Aggregated Strategic Reputation Score + per-store score: one table, two reading levels.
  • Cultural Reply Intelligence: 13-language responses, calibrated to your brand voice, human-validated before publication.
  • Per-site Sentinel Watch 24/7: alert when a store drops below the critical threshold.
  • AI Answer Radar: city-by-city measurement of whether ChatGPT cites your stores when a consumer searches your category.
  • Cross-network Revenue Leak Engine: euro-quantified leak per store.
  • Native multi-tenant architecture: 5, 20, 50 stores with strict scoping + per-region dashboards.
  • Monthly executive report: network KPIs, top 3 stores in alert, top 3 stores improving.

Proof point

Designed for networks of 5 to 50+ stores. Executive reporting included from the Pro tier onwards.

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