custom ai
We design and build custom AI implementations for mid-market Shopify brands.
Not off-the-shelf tools. Systems that work based on your unique context and goals.
geo and searchability
AI-driven traffic to Shopify stores grew 8x last year. Orders from AI-powered searches grew 15x. If your brand isn't structured for AI discovery, you're invisible in the fastest-growing search channel in ecommerce.
We audit how your brand appears in AI systems, build the schema files and knowledge bases that help AI surfaces you accurately, and make sure your product data is structured for the new search environment.
Proof point: We ran an AI visibility audit for a Shopify footwear brand and found their core products were either missing from AI results entirely or being described incorrectly. Three weeks of structured data work changed that.




data
AI is only as good as the data feeding it. We build the foundation: a unified data lake that connects your Shopify store, GA4, Klaviyo, ad platforms, and other tools in your stack into one queryable system.
This isn't about dashboards. It's about having historical data structured in a way that supports real analysis, AI training, and decisions you can actually act on.
Proof point: GA4 only retains six months of data and doesn't automatically track every interaction in your store. Most brands don't realize how much they're losing until they try to answer a specific question.
We set up custom tagging combined with data lakes so that data is captured, structured, and accessible - before you need it, and at your fingertips when you do.
Every AI service we offer is custom-built. We don't resell tools or drop in plugins and call it done. We design systems around your specific brand, your vertical, and your team's actual workflow and we help you maintain them over time so they keep working as models evolve. The clients who get the most from this work are the ones who've already tried the generic options and know what they're missing.
If you're at that point, let's talk.
Let's Map Out Your AI Stack
agents
Built for your workflow
We build AI agents trained on your brand, your products, and your processes - not generic models bolted onto your site.
Copywriting agents that drafts emails and product descriptions in your brand voice. A merchandising agent that surfaces the right products at the right time. A reporting agent that answers real questions from your actual data across all of your marketing channels.
Proof point: We built an enterprise-grade copywriting agent for a 9-figure gifting brand in under a month. It's now supporting content creation across multiple internal teams, and the brand voice is more consistent than what they were writing before.


agentic commerce
Shopify's AI sales channel, done right.
Shopify's agentic storefronts are live. Your products can now be purchased directly through AI assistants and ChatGPT or Copilot conversations but the setup involves strategic planning: what to include and how to configure your knowledge base so the AI represents your brand accurately.
We help you navigate those decisions and implement the configuration, so you're not just turned on but set up correctly.
Proof point: We've set up agentic commerce for multiple clients and helped each one work through the inclusion decisions, knowledge base build, and ongoing monitoring so they can see what's actually converting.
conversational commerce
An SMS concierge, on-site styling advice, tailored post-purchase flows - conversational AI for ecommerce requires more than a chatbot. It requires deep integration with your Shopify order data, your customer service platform, your loyalty and retention goals and your brand voice.
We design and build phased conversational AI systems, starting with the high-value, lower-complexity flows and building toward more sophisticated interactions as the data and trust accumulates.
Proof point: We're currently building a phased AI-powered SMS concierge for a fast-growing Shopify brand: transactional flows first, conversational AI second, in-text purchasing in phase three. Each phase is scoped, tested, and validated before the next one starts.



