The Feed Operating System forEcommerce Infrastructure
Replace fragmented feed tools, manual optimization, and agency retainers with automated infrastructure built for Google Merchant Center.
Join hundreds of brands already optimizing with GMC Optimizer
Trusted by high-output ecommerce teams
Case study: DTC outdoor retailer
After connecting GMC and deploying feed rules plus supplemental feeds, data quality stabilized and approved inventory expanded within four weeks.
Compliance Dashboard
Monitor data quality, policy violations, and feed rules in one place while tracking approval recovery.
Disapproval rate
1.8%
Data quality errors
42 open
Policy violations
0 critical
Feed rules running
28 active
See Exactly What's Driving Results
Most feed tools optimize blindly. We show you the impact of every change with visual dashboards and optimization event bookmarking.
Visual Performance Dashboards
Track impressions, clicks, CTR, conversions, ROAS, and CPA in real-time with interactive charts
Optimization Event Bookmarking
Timeline view marks every optimization run - see exactly when changes were deployed
Impact Analysis with Statistical Significance
Before/after metrics show if optimizations actually drove results - no more guessing
Revenue Correlation by Optimization Type
Identify which optimization types (titles, descriptions, highlights) drive the most revenue
Time-to-Impact Measurement
See how quickly each optimization affects performance - typically 2-7 days
Why Product Feed Management Breaks at Scale
Feed rules, supplemental feeds, and data quality fixes break down beyond 500 products
Fragmented Tools Create Chaos
- • Title optimizer, feed rules, and error dashboards all separate
- • No unified workflow or version control
- • No rollback capability when feed rules misfire
- • Tools don't talk to each other
Agencies Don't Scale
- • $5K/month retainers for manual work
- • 2-week turnaround for catalog updates
- • No systematic performance correlation
- • Human bottleneck limits speed and scale
Manual Processes Can't Handle Scale
- • Whether you have 5 products or 5,000, automation eliminates repetitive optimization work
- • Spreadsheet management becomes unmaintainable as catalogs grow
- • Data quality enforcement and feed rules cannot scale manually
- • No audit trail of what changed when
No Performance Visibility
- • Can't correlate optimizations to revenue metrics
- • Gut instinct replaces data-driven decisions
- • Don't know which optimization types drive results
- • A/B testing requires custom development
Platform Dependency Without Control
- • GMC errors cascade without proactive management
- • Supplemental feed creation is manual and error-prone
- • No systematic feed deployment workflow
- • Changes deployed without version control
AI Tool Hallucinations Create Risk
- • Generic AI tools generate policy-violating content
- • No GMC compliance checks or guardrails
- • Optimizations break product approval status
- • No rollback when AI makes mistakes
Feed Infrastructure That Runs Itself
Complete automation from catalog sync to performance correlation
Input Layer
Scheduled sync from GMC account (every 6-12 hours) → Pulls complete product catalog → Normalizes data structure → Applies brand overrides
Intelligence Layer
4 optimization strategies → 5-layer brand voice system → Field-level optimization → Batch processing via webhook
Decision Layer
Version control for every product → Field-level selection (mix title from Run A, description from Run B) → Composite version management
Execution Layer
Automated supplemental feed creation → Content API batch updates (100 products/batch) → Snapshot history → Audit trail with rollback
Monitoring Layer
Performance metrics sync → Optimization event correlation → Statistical significance calculation → Time-to-impact measurement
Human Oversight: Review optimization suggestions • Approve field-level changes • Set brand voice rules • Define optimization strategy per run
Complete Feed Infrastructure, Not Point Tools
Six integrated systems working together as a unified operating system
MOST ADVANCED PERFORMANCE REPORTING
Unlike point tools that optimize blindly, GMC Optimizer includes enterprise-grade performance analytics. Visual dashboards, optimization event bookmarks, and statistical impact analysis show exactly what's driving results.
System 1: Automated Catalog Sync
- Scheduled pulls from GMC (set and forget)
- Data normalization across feed structures
- Brand override engine for consistency
- Error detection and issue visibility
System 2: AI Optimization Engine
- 4 optimization strategies for different use cases
- 5-layer brand voice system (preset styles + brand-guided + custom rules)
- Field-level optimization control (titles, descriptions, highlights, demographics)
- Batch processing with webhook architecture
System 3: Version Control & Deployment
- Field-level version management
- Mix and match fields from different optimization runs
- Composite version creation
- Supplemental feed automation with Content API
System 4: Advanced Performance Analytics
Visual performance dashboards with optimization impact tracking
- Real-time metrics sync: impressions, clicks, CTR, conversions, ROAS, CPA
- Optimization event bookmarking: Timeline view marking every optimization run
- Visual impact analysis: Interactive charts showing before/after performance
- Statistical significance calculation: Know if changes actually drove results
- Optimization type correlation: Identify which optimizations drive the most revenue
- Time-to-impact tracking: See how quickly optimizations affect performance
- Exportable reports: Share results with stakeholders
System 5: Brand Consistency Infrastructure
- Brand override management across catalog
- Automatic application during sync
- Formatting standardization
- Single-brand vs multi-brand mode
System 6: Audit & Rollback
- Snapshot history of every change pushed to GMC
- "Current in GMC" indicator showing live state
- Field-level rollback capability
- Complete change audit trail
What You Stop Paying For
Replace agency retainers and fragmented tools with unified infrastructure
| Old Infrastructure | Monthly Cost | GMC Optimizer |
|---|---|---|
| Agency feed management retainer | $3,000-$10,000 | Automated |
| Title optimization tool | $99-$299 | Included |
| Description generator | $49-$199 | Included |
| Feed validation service | $79-$249 | Included |
| Error monitoring dashboard | $99-$299 | Included |
| A/B testing tool | $199-$999 | Included |
| Performance analytics platform | $299-$799 | Included with visual dashboards |
| Version control system | Custom dev | Included |
| Manual brand consistency enforcement | 20-40 hours/month | Automated |
Also Eliminates
Built for Catalog-Scale Operations
Production-grade infrastructure handling enterprise-scale workloads
Process Proof
- Field-level version control with snapshot history
- Content API integration with batch processing (100 products/batch)
- Statistical significance calculation for optimization impact
- Webhook-based AI processing with async callback support
Infrastructure Proof
- Multi-tenant SaaS with organization management
- Background job processing with retry logic
- Automated cron-based catalog sync
- MongoDB-backed queue with worker process
Operational Realism
- Scales from 5 products to 10,000+ - same infrastructure, any catalog size
- Supplemental feed creation per label
- Brand override cache for performance
- Stale job detection and reset
Integration Depth
- Google OAuth with Merchant Center access
- Shopping Content API + Merchant API with fallback
- Google Ads API for performance metrics
- Supplemental data source creation via Content API
Infrastructure That Scales With You
From 50 products to 50,000 products - one system, any scale
This is for:
- Ecommerce brands of any size using GMC
- Growing brands wanting to scale feed operations
- Multi-brand operators managing multiple catalogs
- Agencies managing client GMC accounts
- Operations teams replacing manual feed work
- Teams running A/B tests on product data
- Brands needing brand consistency across SKUs
This is not for:
- Teams not using Google Merchant Center
- Businesses selling services only (not physical products)
- Brands satisfied with manual spreadsheet management
- Teams selling exclusively offline or in-store only
- Organizations without data-driven decision making processes
Infrastructure that grows with your business - start small, scale infinitely
Built for Signal-Based Commerce
2026-2028 feed infrastructure is being built today
AI Decision Loops
Automated optimization strategy selection based on performance correlation
Signal-Based Optimization
Real-time feed adjustments based on conversion signals
Feed-Driven Commerce
Product data as the primary growth lever, not just ad targeting
Platform-Agnostic Growth
Same infrastructure for GMC, Amazon, Meta catalogs
Predictive Performance Analytics
ML models forecasting optimization impact before deployment
Automated Optimization Recommendations
System suggests which optimizations to run based on historical correlation data
Automated Brand Voice Learning
System learns brand style from existing content automatically
Multi-Channel Feed Unification
Manage product feeds for Google, Amazon, Meta, and TikTok from one unified system
Automated Compliance Monitoring
Real-time policy violation detection and auto-correction across all shopping platforms
GMC Optimizer is built for this future:
Join Hundreds of Brands Already Optimizing
Start automating your feed optimization in minutes - no credit card required
Join ecommerce brands and agencies already using GMC Optimizer
Infrastructure that scales from 50 products to 50,000+ products