Home / Industries / E-commerce

E-commerce SEO that scales with your catalog.

Thousands of products, category pages that fight each other, and AI answers now recommending what to buy. We bring order and scale to e-commerce search, and get your products into the AI shortlist.

YOU rivalrivalrival
// Why e-commerce is different

Scale is the whole problem.

E-commerce SEO lives and dies on structure at scale. Category and product pages compete with each other, thin variants dilute authority, and a small technical issue multiplied across ten thousand URLs becomes a ranking disaster. Get the architecture right and the same scale becomes your biggest advantage.

Meanwhile, shoppers increasingly ask AI assistants what to buy, and the engines cite specific products and stores. We combine technical and programmatic SEO with product-level structured data and GEO, so your catalog ranks, converts, and gets recommended.

// What we do for e-commerce

Structure, scale, and shopping answers.

ARCHITECTURE

Category & taxonomy SEO

Fixing internal competition so your category pages rank instead of cannibalising each other.

SCALE

Programmatic product SEO

Templated, genuinely useful pages across the catalog without thin-content penalties.

DATA

Product structured data

Rich schema so search and AI engines understand price, stock, reviews and specs.

SHOPPING AI

Product citation in AI

Getting specific products recommended when shoppers ask an engine what to buy.

TECHNICAL

Crawl budget & speed

Managing crawl, faceted navigation and Core Web Vitals across large catalogs.

CONTENT

Buying guides & comparisons

The top-funnel content that captures demand and feeds product discovery.

// What you can expect

Order out of catalog chaos.

  • Category architecture that ends internal competition
  • Programmatic pages that scale without thin-content risk
  • Product structured data for rich results and AI recommendations
  • Technical control of crawl budget, facets and speed at scale
  • Reporting tied to revenue and ROAS, alongside paid
// Straight answers

Questions, answered.

What is the biggest e-commerce SEO mistake? +

Letting scale run wild: category pages competing with each other, thin product variants, and faceted navigation generating endless low-value URLs. Fixing architecture and crawl control usually unlocks more than chasing new keywords.

Can AI engines recommend my products? +

Increasingly, yes. Shoppers ask assistants what to buy, and the engines cite products and stores. Strong product structured data, reviews and brand signals raise the odds your products get recommended.

Do you work with Shopify, WooCommerce and others? +

Yes. We work across major platforms, adapting technical and structured-data work to each. The principles of scale, structure and speed are the same everywhere.

Turn catalog scale into an advantage.

A free audit of your e-commerce SEO and where your products show up in AI shopping answers.