When TrailForge, a mid-size outdoor gear brand on Shopify, came to Shoptiger, they had a problem: despite strong organic rankings and a healthy Google Ads account, they were completely absent from AI shopping recommendations.
The Diagnosis
Our AI visibility audit revealed three critical gaps:
1. Sparse product schemas TrailForge's product pages had basic Schema.org markup—title, price, image—but none of the rich attributes that AI systems use to make confident recommendations.
2. No semantic content layer Their product descriptions were written for humans browsing a page, not for AI systems parsing structured knowledge.
3. Missing trust signals AI systems need confidence to recommend products. TrailForge had reviews but they weren't marked up with Review schema.
The Solution
Over 90 days, we implemented Shoptiger App across their 847-product catalog:
- Enhanced product schemas with 40+ attributes per product
- Semantic FAQ content for top 200 products
- Review schema implementation across all products
- Real-time inventory and pricing feeds
- Competitive comparison data for top 50 SKUs
The Results
- 3.2x increase in AI platform citations
- 67% increase in referral traffic from AI platforms
- AI conversion rate of 4.8% vs 2.1% from traditional organic
- Featured in ChatGPT responses for 23 high-value product queries
The Key Insight
AI systems don't recommend products they're uncertain about. Every piece of structured data you add reduces that uncertainty and increases the probability of recommendation.
