E-commerce SEO

E-commerce is technical SEO on hard mode: thousands of URLs, faceted navigation minting millions more, inventory that appears and vanishes, and the most commercially contested SERPs on the web. It's also where SEO connects most directly to revenue. This guide assembles the curriculum's pieces into a store-shaped strategy.

The page-type hierarchy#

A store ranks through three page types, each with its own intent slot:

Page type	Wins queries like	Intent
Category	"running shoes", "men's trail running shoes"	Commercial browsing - the head terms
Product	"nike pegasus 41 review", exact model queries	Transactional - the converters
Editorial	"how to choose running shoes"	Informational - the authority builders

The strategic insight most stores miss: category pages are your SEO workhorses. They target the high-volume commercial heads, and they're where internal authority should concentrate.

Category pages#

One category per meaningful search demand - your keyword research decides the taxonomy, not just merchandising logic
Add real content: a buying-guide intro (above or below the grid), FAQ section with FAQPage schema - enough to give engines text to rank, not so much it buries products
Crawlable product links - real <a href> grids, paginated with self-canonical pages (pagination rules), never JS-only infinite scroll
Subcategory landing pages for demanded facet combos ("waterproof trail running shoes") - and only those; everything else stays out of the index per the faceted navigation strategy

Product pages#

Unique descriptions - manufacturer-supplied copy is duplicated across every retailer selling the item; rewriting it is the cheapest differentiation available. Prioritize by margin/traffic, don't boil the ocean.
Product schema, complete: price, availability, ratings, brand, GTIN/SKU - this powers stars and price in the SERP and feeds AI shopping answers:

Product JSON-LD (excerpt)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Pegasus 41 Trail",
  "gtin13": "1234567890123",
  "brand": { "@type": "Brand", "name": "Nike" },
  "aggregateRating": { "@type": "AggregateRating", "ratingValue": 4.6, "reviewCount": 218 },
  "offers": {
    "@type": "Offer",
    "price": 139.99,
    "priceCurrency": "EUR",
    "availability": "https://schema.org/InStock"
  }
}
</script>

Reviews on-page - user-generated content is unique text, long-tail coverage and conversion proof in one
Variant handling: color/size variants on one canonical URL beats indexable near-duplicates per variant, unless variants have distinct search demand ("pegasus 41 white")

Out-of-stock and discontinued#

Temporarily out      → keep 200, mark OutOfStock in schema, suggest alternatives
Discontinued, has    → 301 to the successor product
  a successor
Discontinued, none   → 410 (or 301 to category if the page has links/traffic)
Seasonal             → keep the URL alive year-round; it re-ranks each season

Mass-404ing products is the classic self-inflicted e-commerce wound - equity that took years to build, deleted with one inventory sync.

Stores live or die on crawl-trap containment. The e-commerce specifics: parameter ordering must be canonicalized (?color=red&size=m ≡ ?size=m&color=red - pick one), sort/view parameters never indexable, and log-file checks (audit playbook) quarterly to verify Googlebot isn't drowning in filter URLs.

Beyond the organic SERP#

Google Merchant Center: free product listings put your feed in the Shopping tab and product panels - parallel infrastructure to organic, fed by the same schema data, with its own (large) traffic
Product review content ("best trail shoes 2026") competes under product-review system standards: first-hand testing evidence (E-E-A-T) is explicitly rewarded
AI shopping answers increasingly recommend specific products - the GEO playbook (entity clarity, review presence, comparison-page inclusion) applies with money attached