When AI shopping assistants recommend products, they rely on structured data. Without it, your store doesn't exist to them. I don’t promise recommendations. I make sure AI systems describe, compare, and cite your products accurately and consistently—and I prove it.
The result? When someone asks an AI for product recommendations in your category, your competitors on Amazon get mentioned. Your official store doesn't.
Four interconnected services that work together to make your store visible, understandable, and recommendable by AI systems.
Structured data that tells AI systems exactly what your products are, what they cost, and how to buy them. The language AI understands.
Optimizing your content and structure so AI systems cite and recommend you in their generated responses. The new SEO.
Structuring your content to directly answer the questions AI systems are asked. Be the source AI pulls answers from.
Creating a clear, verifiable identity for your brand that AI systems can trust and reference confidently.
A straightforward process from audit to implementation. Most stores are fully optimized within a week.
I analyze your current AI visibility status and identify exactly what's missing.
You receive a clear, fixed-price quote based on your specific needs. No surprises.
Complete schema implementation, GEO optimization, and validation. Usually 2-7 days.
Full documentation, maintenance guidelines, and support to keep everything running.
Real client transformation. From invisible to fully optimized—validated by Google and Schema.org.
"After implementing Flinn's structured data strategy, our site went from being completely invisible to AI systems to having 5 valid schema types detected by Google and 8 structured data items validated by Schema.org. We've seen a measurable increase in organic traffic, and more importantly, AI systems like ChatGPT and Perplexity can now accurately cite our products with precise specifications and pricing."
"We worked with Flinn to optimise our product and landing pages for AI-driven discovery using structured data. The implementation was seamless, technically solid, and future-proofed our site for how customers are increasingly discovering products through AI tools."
Google Rich Results: No items detected
Schema.org: No structured data found
Google Rich Results: 5 valid items detected ✓
Schema.org: 8 structured data types validated ✓
Find out exactly where you stand. I'll analyze your current status, identify gaps, and provide a fixed-price quote.
I'll respond within 24-48 hours with your results
The shift from search engines to AI assistants is happening faster than most businesses realize.
ChatGPT, Perplexity, and Google AI Overviews are becoming primary product discovery channels. Early optimization means early advantage.
AI systems don't "see" your website like humans do. They rely entirely on structured data to understand your products.
Most e-commerce stores have broken or missing schema. Proper implementation now puts you ahead of competitors still ignoring AI.
I'm Flinn G Evans, and I specialize in making e-commerce stores visible to AI systems. My background combines analytical rigor with technical implementation—I hold a diploma in Higher Level Mathematics (Applications and Interpretation), which gave me the problem-solving foundation that underpins everything I do.
As a self-taught full-stack developer proficient in JavaScript (Node.js, Express) and modern frontend frameworks, I've spent the past 18 months working with a Canadian jewellery brand, optimizing their digital presence and implementing structured data strategies. This hands-on experience showed me exactly how unprepared most stores are for the AI shopping revolution.
That's why I pivoted to specialize exclusively in Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), and JSON-LD Schema Markup—the technical foundation that lets AI systems like ChatGPT, Claude, Perplexity, and Google AI Overviews accurately understand, cite, and recommend products.
The opportunity is now. The AI shopping market is projected to reach $40 billion by 2030. Most e-commerce brands are still treating this like optional future-proofing. They're wrong. AI shopping is happening right now, and stores without proper structured data simply don't exist in these conversations.
If you want to get ahead of the curve and establish your presence in the AI shopping ecosystem before your competitors do, I can help. Every audit, every implementation, and every recommendation is backed by testing against real AI systems—because being "technically correct" means nothing if AI doesn't properly cite you or your brand.
SEO (Search Engine Optimization) focuses on ranking in traditional search results — keywords, backlinks, page authority. GEO (Generative Engine Optimization) focuses on appearing in AI-generated responses from systems like ChatGPT, Perplexity, and Google AI Overviews. GEO prioritizes structured data, entity relationships, and machine-readable content over traditional ranking factors.
No one can guarantee specific AI outputs — that's not how AI systems work. What I can guarantee is that your store will have the technical foundation AI systems need to understand, trust, and recommend your products. Without proper implementation, you're guaranteed to be invisible.
Most implementations are completed within 2-7 days depending on store size and complexity. Small stores (under 25 products) are typically done in 2-3 days. Larger stores may take a full week for thorough implementation and validation.
The monthly retainer is optional. The one-time implementation gives you everything you need. The retainer is valuable if your catalog changes frequently, you want ongoing monitoring, or you want schema updates for new products handled automatically.
I work with all major e-commerce platforms: Shopify (including headless), WooCommerce, Wix, BigCommerce, Squarespace, Magento, and custom-built stores. The implementation approach varies by platform, but the result is the same.
Most schema apps generate basic, often incorrect markup that passes validation but doesn't actually help AI systems understand your products. They miss critical fields, create broken entity relationships, and don't implement GEO at all. Custom implementation ensures complete, correct, AI-optimized structured data.