Win AI-Driven Commerce
Specialized Generative Engine Optimization for direct-to-consumer brands. Be the brand AI recommends when customers shop.
70% of Shoppers Use AI First
When customers ask ChatGPT for product recommendations, your brand needs to be the answer. Traditional SEO won't get you there.
Discovery
"What's the best sustainable sneaker brand?" — AI provides ranked recommendations
Comparison
"Allbirds vs. Rothy's vs. Cariuma" — AI compares features, prices, reviews
Decision
"Which has the best return policy?" — AI cites specific policies
Complete DTC GEO Framework
Four pillars of AI-driven commerce optimization
Product Schema Optimization
Complete schema markup for every product page: price, availability, reviews, attributes. AI crawlers need structured data to cite you.
- Product schema validation
- Price & availability markup
- Review aggregate schema
- Attribute enrichment
Comparison Content Strategy
Win "vs." queries with dedicated comparison pages. When customers compare you to competitors, be the brand AI recommends.
- Competitor comparison pages
- Feature comparison tables
- Price/journey time matrices
- "Best of" content
Review Authority Building
AI trusts third-party reviews more than brand claims. We optimize your review presence for maximum citation.
- Review schema markup
- Trustpilot/Google integration
- Featured testimonials
- Sentiment analysis
llms.txt for Product Catalogs
Give AI crawlers a direct path to your best products with structured Markdown summaries.
- llms.txt generation
- Product catalog summaries
- llms-full.txt documentation
- Automated updates
Platform-Specific Optimization
Different AI platforms have different preferences. We optimize for each.
- ChatGPT: conversational depth
- Gemini: factual precision
- Copilot: transactional intent
- Perplexity: citation density
Inclusion Rate Tracking
Real-time monitoring of your AI visibility across 8+ platforms.
- Daily Inclusion Rate updates
- Platform breakdowns
- Competitor benchmarking
- Automated alerts
"UltraScout's DTC framework helped us understand exactly where we were losing in AI travel planning conversations. Six months in, we're seeing real momentum."
— LNER Digital Team (paraphrased from consultation)
How It Works
Our proven 4-phase DTC GEO process
Audit
Benchmark your current Inclusion Rate, schema completeness, and competitor gaps
Strategize
Prioritized roadmap for schema, comparison content, and review authority
Implement
Full technical implementation with ongoing optimization
Monitor
Real-time Inclusion Rate tracking with automated alerts
Built on Princeton Research
Our DTC framework operationalizes the Princeton GEO research (Aggarwal et al., 2024) and University of Toronto findings (Chen et al., 2025).
- Information Gain: Prioritizing unique data and proprietary research
- Platform differences: Optimizing for ChatGPT, Gemini, Copilot individually
- Earned media bias: Leveraging review authority for 3.2x higher inclusion
Key Publications
- 📄 Princeton (2024) — GEO: Generative Engine Optimization
- 📄 Toronto (2025) — How to Dominate AI Search
- 📄 W3C (2025) — llms.txt Standard
- 📄 Alibaba Cloud (2025) — Technical Architecture for GEO
Ready to Win in AI-Driven Commerce?
Get a free DTC GEO audit showing your current Inclusion Rate, product schema gaps, and comparison content opportunities.
No obligation · Results in 48 hours