The ASTRA Engine
Our proprietary system that reverse-engineers how AI platforms recommend stores, then optimizes your Shopify store to win those recommendations.
How the ASTRA Engine Works
Simulate Real Customer Queries
We run hundreds of product-related prompts that real shoppers use when asking AI for recommendations. We test queries like 'best organic skincare under $50' and 'Shopify stores for sustainable fashion'.
Track AI Recommendations
We query all 4 major AI platforms to see which stores they recommend for each query. We track mention frequency, context, sentiment, and citation quality.
Analyze What Wins
We identify patterns in stores that get recommended most often. What content do they have? How is it structured? What makes them stand out?
Optimize Your Store
We apply these insights to your Shopify store. We create LLMs.txt files, optimize product descriptions, add comprehensive FAQs, and structure your content for AI understanding.
Monitor & Iterate
We continuously track how often AI platforms recommend your store and refine our optimization strategy based on what's working.
ASTRA Engine Features
LLMs.txt Generation
We create and optimize LLMs.txt files that help AI engines understand your store structure, products, and value proposition.
Query Analysis
We identify the exact prompts customers use in your category and optimize your content to win those specific queries.
Multi-Platform Optimization
We optimize for all 4 major AI platforms (Claude, ChatGPT, Perplexity, Gemini) with platform-specific strategies.
Competitive Intelligence
We track where competitors rank on AI platforms and identify opportunities to outperform them.
Content Gap Analysis
We identify what content you're missing that prevents AI from recommending you, then create that content.
Continuous Monitoring
We track your AI visibility 24/7 and alert you when new opportunities or threats arise.
Why the ASTRA Engine Works
To see measurable results
Of shoppers use AI for recommendations
Higher AOV from AI-referred traffic