ChatGPT, Perplexity, Gemini, and Claude recommend products to millions of users every day. But they can't find yours — because your store data isn't AI-readable. We get your data in shape so AI can both find and buy from you.
"Do you want professional-grade work gear?" is useless to an AI agent. It needs: "Tactel Polyamide hardshell, -30°C rated, waterproof membrane, removable liner."
Most Shopify themes have broken or minimal JSON-LD. AI crawlers can't parse your product data.
Good Google ranking doesn't mean AI visibility. AI agents look for structured data — not meta tags.
We've analyzed over 870,000 online stores worldwide. The results speak for themselves: the vast majority are unreadable to AI — only 1.4% earned an A — so fix your data now and you're in the vanguard.
In March 2026, Shopify launched Agentic Storefronts, feeding product data directly to ChatGPT and other AI agents from 3.6 million stores. But just being listed isn't enough — AI agents recommend products based on data quality.
Real client project: European outdoor brand, 105-product Shopify store.
[PRODUCT NAME] JACKET - Orange / Black"Do you want professional-grade work gear? Gear reliably used outside, all seasons..."260 chars, cut off mid-sentenceJackets14 issues, broken JSON[BRAND] Jacket Tactel Polyamide Insulated -30°C Waterproof Multi-Season Hardshell[BRAND] [PRODUCT NAME] is a professional-grade work jacket designed for extreme cold. Tactel Polyamide shell, [SYNTHETIC] insulation, -30°C rated, waterproof membrane...866 chars, factual with specsApparel & Accessories > Clothing > Outerwear > Coats & Jackets > Insulated JacketsValid ✓ — 0 critical issuesYour customers see zero changes. But AI sees everything.
We analyze your store data: missing fields, marketing copy vs. facts, broken structured data. You get an AI Readiness Score report.
We create an AI-specific data layer: spec-rich titles, factual descriptions, deep categories, materials, use cases. Stored as Shopify metafields.
We install Product, Organization, and BreadcrumbList schemas on your theme. Validated with Google Rich Results Test. All AI crawlers can now find your store.
The price driver is data depth and content gap, not product count. The free audit opens, the starter package is fixed, and the biggest value is in the product-data deepening. Zero changes to what your customers see.
Fixed starter — same for a large catalog
Tailored — where the biggest value is created
Setup — once the data layer is in shape
New and changed products stay AI-ready, visibility monitoring and a monthly report. With the agent layer, upkeep of the shopping assistant/MCP is included.
AI only recommends products whose data it can read from structured data and trust. If your product descriptions are thin or schema.org data is missing, your store is effectively invisible — even if you rank well in classic search.
Product data must be made machine-readable and rich: flawless schema.org Product JSON-LD (price, availability, brand, GTIN, reviews) and factual, complete product data. We mine the missing data from existing sources and structure it. Run the free audit to see where you stand.
GEO is the successor to SEO: instead of optimizing for links and keywords, you make your product data something generative AIs (ChatGPT, Perplexity, Google AI Mode) can find, understand and recommend. The foundation is structured, contextual product data.
You need valid schema.org Product JSON-LD for every product, machine-readable fields (price, availability, GTIN/brand) and factual content instead of marketing fluff. We work on both platforms: Shopify's distribution is native but quality is the work; for WooCommerce we build the whole layer.
Yes — it's the machine-readable layer AI uses to identify price, availability, brand and reviews. Without it the AI has to guess from page content, and uncertain products don't get recommended. It's not enough alone: the content also has to answer the buyer's questions.
The same product needs different data for different buyers. One product can carry hundreds of datapoints, each decisive for some buyer segment but not worth showing a human on the page. For AI they all need to be in structured data. Almost no store does this work today — and it's exactly what decides visibility.
AI shopping surfaces now largely show products submitted as feeds, not just crawled pages. There are two ways to appear in ChatGPT: its web-search answers already show a Finnish store today (decided by your site + schema.org JSON-LD), while the dedicated shopping carousel is feed-driven and its organic program is US-first for now (paid ads are already live in the EU). Google AI (Overviews/AI Mode/Gemini), Copilot and Perplexity accept the feed from the EU today. We fix your product data at the source, guide the right feed tool for your platform and optimize the data it sends — the tool handles the pipe, the data decides visibility. We don't over-promise: ChatGPT's organic EU carousel isn't open yet, but you're ready the moment it opens.
AI-powered search is growing exponentially. Google is shifting to AI answers. Stores that optimize their AI data now capture disproportionate advantage — and that advantage compounds daily.