
Shopping is moving inside AI assistants, and they only recommend stores whose data they can actually read. Most brands are invisible there. Not because their products are wrong, but because their data is messy. We fix the foundation: structured product data, clean metadata, and the automation running behind your store, then build the systems so AI channels can find, understand, and recommend what you sell. Strategy and hands-on build, from a team that has spent years untangling complex catalogs.
We audit how AI shopping agents and answer engines like ChatGPT, Perplexity, Claude, and Google AI Overviews currently see your store. We pinpoint where your structured data, product feeds, and metadata break down, and which gaps are costing you visibility and recommendations.
We build the roadmap to fix it: Schema.org product markup, clean metafields, optimized product feeds, and the automation that keeps everything accurate as your catalog changes. It is the shared foundation for Answer Engine Optimization (AEO) and traditional SEO.
We don't just advise, we execute. From structured data and feed engineering to agentic commerce channel setup, we make your catalog machine-readable, shoppable, and recommendable across AI surfaces, not just indexed by Google.
AI channels and answer engines evolve fast. We monitor your structured data, feeds, and AI visibility, then tune your presence as ChatGPT, Perplexity, Gemini, and Google AI shift, so you stay found, understood, and recommended.
A four-tier service ladder for brands that want to take AI Enablement seriously. Same 8-criteria spine, three depths of analysis, one clean path from "let’s see" to "let’s build."