Industry
E-commerce SEO built on architecture, not just product keywords
Online stores win organic search through structure: categories that match how people shop, product pages search engines understand, and supporting content that answers buying questions. I build semantic SEO strategies for e-commerce brands that turn search into sales.
At a glance
- Category architecture planned from a topical map, so categories match how people actually shop.
- Product pages with complete attributes and structured data search engines and AI shopping answers can use.
- Faceted navigation and crawl control, so search engines spend time on the pages that sell.
- Buying-guide content that answers comparison and 'which one' questions and links to the right products.
- Platform-aware implementation for Shopify, WooCommerce and custom stores.
Why e-commerce SEO stalls
Most stores grow their catalogue faster than their structure. Categories get created for merchandising rather than search, filters generate thousands of near-duplicate URLs, product descriptions come from the manufacturer, and the blog drifts away from anything that sells. Search engines struggle to tell which pages matter.
What I focus on for online stores
Category and collection architecture
Categories are the pages that rank for the highest-value commercial searches. I plan them from a topical map of how your market shops, with clear parent-child relationships and internal linking that passes authority to products.
Product pages search engines understand
Complete attributes, unique descriptions where they matter, product and review structured data, and clear relationships to categories and related products.
Crawl control
Faceted filters, sorting parameters and pagination can waste crawl budget and create cannibalization. I decide which combinations deserve to be indexable and keep the rest out of the way.
Content that sells
Buying guides, comparisons and how-to content that answer the questions people ask before buying, each linking to the right products.
How it works
- Audit. Architecture, indexing, crawl waste, product data and competitors.
- Category map. The category structure your market searches for, prioritized by revenue.
- Technical fixes. Faceted navigation, canonicals, schema and internal linking.
- Content plan. Category copy, product templates and buying guides, with briefs.
- Implementation. Platform-aware changes on Shopify, WooCommerce or custom builds.
- Measure. Organic revenue and conversions by category, not just traffic.
Frequently asked questions
What is the most important part of e-commerce SEO?
Site architecture. Category structure decides which pages can rank for high-intent searches, how authority flows to products, and whether search engines waste time on duplicate filter URLs. Content and links work far better once the architecture is right.
Do you work with Shopify stores?
Yes. Shopify constrains URL structure in ways that affect category architecture, so the strategy adapts the implementation while keeping the same semantic architecture. WooCommerce and custom platforms give more freedom with templates and schema.
Should an online store have a blog?
Usually yes, but as buying guides and comparison content that answers real pre-purchase questions and links to the right categories and products, not as general lifestyle posts.
How does AI search affect e-commerce?
AI assistants increasingly answer product research questions and recommend specific products and brands. Stores with complete product information, clear structured data and helpful buying guides are better positioned to be included.