category-level exploration and early research • Mid (Evaluation) — product suitability and comparison • Ultra (Decision) — variant-specific confirmation and purchase intent

These bundles are published as dedicated discovery pages on the merchant’s own domain using Shopify’s App Proxy. The pages combine human-readable content with structured JSON-LD data, ensuring strict parity between visible content and machine-readable schema. This architecture is designed to comply with modern search guidelines while making product information easier for AI systems to retrieve and cite. 

Geoffy also maintains a dedicated AI discovery layer including GEO sitemaps, llms.txt references, and a crawlable Discover Index that allows AI systems to locate and interpret product discovery pages more reliably. 

The platform includes automated drift monitoring that detects changes to product titles, pricing, inventory, or attributes in Shopify. When changes occur, Geoffy flags bundles as stale and regenerates the structured data to ensure that AI systems receive accurate and up-to-date product information. 

Optionally, merchants can connect Google Search Console to ground GEO bundle generation in real search demand signals, allowing the system to prioritise intents that already show evidence of consumer interest.

Geoffy is designed for ecommerce brands and agencies managing medium-to-large product catalogues (typically 100 to 10,000+ SKUs) who want to ensure their products are discoverable in AI-driven recommendation environments without modifying their storefront themes or existing SEO setup. 

The company positions Geoffy as the semantic infrastructure layer between ecommerce catalogues and AI systems, helping merchants translate product data into structured meaning that AI assistants can understand, reason about, and recommend.