diff --git a/database.py b/database.py
index 2c80e21..b569f4e 100644
--- a/database.py
+++ b/database.py
@@ -13,10 +13,11 @@ Models:
 - CompanyDigitalMaturity: Digital maturity scores and benchmarking
 - CompanyWebsiteAnalysis: Website analysis and SEO metrics
 - MaturityAssessment: Historical tracking of maturity scores
+- GBPAudit: Google Business Profile audit results
 
 Author: Norda Biznes Development Team
 Created: 2025-11-23
-Updated: 2025-11-26 (Digital Maturity Platform - ETAP 1)
+Updated: 2026-01-08 (GBP Audit Tool)
 """
 
 import os
@@ -1129,6 +1130,89 @@ class UserNotification(Base):
         self.read_at = datetime.now()
 
 
+# ============================================================
+# GOOGLE BUSINESS PROFILE AUDIT
+# ============================================================
+
+class GBPAudit(Base):
+    """
+    Google Business Profile audit results for companies.
+    Tracks completeness scores and provides improvement recommendations.
+    """
+    __tablename__ = 'gbp_audits'
+
+    id = Column(Integer, primary_key=True)
+    company_id = Column(Integer, ForeignKey('companies.id', ondelete='CASCADE'), nullable=False, index=True)
+
+    # Audit timestamp
+    audit_date = Column(DateTime, default=datetime.now, nullable=False, index=True)
+
+    # Completeness scoring (0-100)
+    completeness_score = Column(Integer)
+
+    # Field-by-field status tracking
+    # Example: {"name": {"status": "complete", "value": "Company Name"}, "phone": {"status": "missing"}, ...}
+    fields_status = Column(JSONB)
+
+    # AI-generated recommendations
+    # Example: [{"priority": "high", "field": "description", "recommendation": "Add a detailed business description..."}, ...]
+    recommendations = Column(JSONB)
+
+    # Individual field scores (for detailed breakdown)
+    has_name = Column(Boolean, default=False)
+    has_address = Column(Boolean, default=False)
+    has_phone = Column(Boolean, default=False)
+    has_website = Column(Boolean, default=False)
+    has_hours = Column(Boolean, default=False)
+    has_categories = Column(Boolean, default=False)
+    has_photos = Column(Boolean, default=False)
+    has_description = Column(Boolean, default=False)
+    has_services = Column(Boolean, default=False)
+    has_reviews = Column(Boolean, default=False)
+
+    # Photo counts
+    photo_count = Column(Integer, default=0)
+    logo_present = Column(Boolean, default=False)
+    cover_photo_present = Column(Boolean, default=False)
+
+    # Review metrics
+    review_count = Column(Integer, default=0)
+    average_rating = Column(Numeric(2, 1))
+
+    # Google Place data
+    google_place_id = Column(String(100))
+    google_maps_url = Column(String(500))
+
+    # Audit metadata
+    audit_source = Column(String(50), default='manual')  # manual, automated, api
+    audit_version = Column(String(20), default='1.0')
+    audit_errors = Column(Text)
+
+    # Timestamps
+    created_at = Column(DateTime, default=datetime.now)
+    updated_at = Column(DateTime, default=datetime.now, onupdate=datetime.now)
+
+    # Relationship
+    company = relationship('Company', backref='gbp_audits')
+
+    def __repr__(self):
+        return f'<GBPAudit company_id={self.company_id} score={self.completeness_score}>'
+
+    @property
+    def score_category(self):
+        """Return score category: excellent, good, needs_work, poor"""
+        if self.completeness_score is None:
+            return 'unknown'
+        if self.completeness_score >= 90:
+            return 'excellent'
+        elif self.completeness_score >= 70:
+            return 'good'
+        elif self.completeness_score >= 50:
+            return 'needs_work'
+        else:
+            return 'poor'
+
+
 # ============================================================
 # MEMBERSHIP FEES
 # ============================================================