Been grinding my ecommerce store but my SEO game's stuck. I know I need a boost to get real search trafficfor my ecomzy but tbh I have no clue how to even start. Product pages? Blogs? Links? Total confusion.
E-commerce SEO is not that different from normal SEO. You need to focus on : 1. Optimized hn (h1, h2, h3) 2. Use canonical for only a main product = running shoes. Any other variants, (colors, size, gender, etc...) should have a canonical pointing to the main page. If I'm not mistaken, Shopify already does a good job at this. 3. Use cross linking 4. Manage your "out of stock" and don't delete your page under no circumstance. Instead, propose a link to a similar product to avoid losing seo juice. 5. Use schema a lot 6. If you are targeting several countries, create different sitemaps and relevant content pages 7. Create shopping guides and a blog, linking them to the corresponding products. 8. Manage your crawl budget by avoiding useless crawling, in particular for search pages = /search, ?s=, ?q=. If your cms doesn't allow you to block their indexation, you can use AI to create a php script.
Short answer: yes, ecom SEO is its own beast, even though it shares DNA with regular SEO. @EAsports covered the fundamentals well — especially the canonical-for-variants point and the "don't delete OOS pages" rule, which are both massively underrated. I'd add three things that make ecom genuinely different in practice: 1. Crawl budget is a real constraint, not a theoretical one. Blogs almost never hit crawl budget walls. Ecom hits them constantly because of faceted navigation. Had a case where an 800-product site was generating ~140k crawlable URLs because of unblocked filter/sort combinations. Googlebot was spending 80% of its crawl on those parameters and only revisiting actual product pages every 3-4 weeks. Cleaning it up (canonicals on filter URLs, robots rules for sort parameters, parameter handling in GSC) cut product recrawl down to ~3 days. 2. Category pages often outrank product pages for commercial queries — and most newer owners don't realize it. "Running shoes" is a category query. "Nike Pegasus 41 size 9" is a product query. Most stores pour all their copywriting into individual product pages and ignore category pages, but the high-volume commercial keywords usually match to category landing pages in Google's eyes. Optimize category descriptions, breadcrumb schema, and internal linking with that hierarchy in mind. 3. Server-side caching strategy matters more on ecom than anywhere else. Logged-in vs logged-out users see different views, so generic full-page caching breaks. Saw a setup where TTFB was swinging between ~15ms (cache HIT) and ~800ms (cache MISS) just because session and currency cookies weren't being stripped from the cache key. Fixed once, every page got faster — including the category pages that don't actually change per user. Generic SEO guides rarely cover this, but it's where you find the biggest CWV wins after on-page basics are done. @salsal — for what it's worth, if I were starting from zero on a new store I'd fix crawl/index basics first, then go heavy on category page content, then product schema. Blog last — it compounds slowly and only pays off after the rest is solid.
Yes, ecom SEO is its own beast, but the part most people miss is that it's a feed problem before it's a content problem. What I see actually moving the needle: Schema.org/Product markup with valid GTIN, brand, price, availability, and review aggregateRating fields. Google Search Console's Merchant listings report will tell you exactly which products are eligible for free Merchant Center surfaces, which are also what ChatGPT shopping suggestions and Perplexity product picks pull from. On one client store, fixing 60% of products that had invalid GTIN values surfaced 200+ products in Google's free shopping listings in three weeks, no link building, no content rewrite. That same data feed is what AI-search uses, so it compounds. The angle nobody mentions: category pages outrank product pages for the queries that actually drive ecom revenue. A typical product page targets one buyer-stage long-tail; the category page targets the entire intent cluster. Investing in unique category-level content (curated picks, comparison tables, buyer guides above the product grid) usually moves more revenue than optimizing 200 product titles. Especially in 2026 where Google rewards depth-on-the-page signals over keyword-in-title signals.