The Work
Lenovo.com is a worldwide eCommerce operation, and for a decade I've owned the organic side of it: multi-million-dollar SEO-driven eCommerce revenue across 30+ countries with consistent year-over-year growth.
E-commerce SEO at this scale means optimizing living product catalogs (categories, product pages, and merchandising content that change constantly across dozens of markets) and building the workflows that keep optimization moving at the speed of the storefront. Today that increasingly means AI: building production agents that take over the repetitive execution work and content operations that e-commerce SEO runs on.
I've also mapped the territory far beyond one storefront: 4ort.shop, my World Product Index, is an API-first crawler that mapped 191,000+ ecommerce domains and 5,300+ live product-catalog endpoints into a structured JSON-LD entity layer: the world's commerce, indexed for agents. Few people have looked at how the entire ecommerce web is structured; I've crawled it.
Capabilities
- Revenue-first SEO: strategy and reporting tied to eCommerce revenue, not vanity rankings
- Catalog optimization at scale: category architecture, product page templates, and merchandising content across global storefronts
- Structured data for commerce: product schema and entity layers that machines can consume, search engines and AI agents alike
- Content operations: AI-assisted workflows for producing and optimizing commerce content at catalog speed
- Commerce-web intelligence: first-hand crawl data on how 191k+ ecommerce sites expose their catalogs
- AI shopping surfaces: positioning products for AI assistants and answer engines (see GEO)