Most ecommerce SEO is product-page polish.
Your category pages decide your revenue.

Ecommerce SEO is the practice of building organic search visibility for online retailers. Shopify stores, BigCommerce sites, Magento brands, WooCommerce shops, headless commerce builds, and the marketplace presences (Amazon, eBay, Walmart, Etsy) that surround them. The discipline is structurally different from generic SEO because the indexable surface area is dominated by category pages and product detail pages (PDPs) rather than blog content, the conversion event is a transaction (not a lead), and Core Web Vitals directly affect both rankings and conversion rate. The leverage tiers are category architecture, PDP optimization at scale, Google Shopping / Merchant Center integration, faceted-navigation control, and content marketing that earns links and captures top-of-funnel research traffic.

We should not claim that category pages drive a universal percentage of ecommerce revenue without store-specific attribution. Their importance comes from intent: a category query often represents a buyer comparing a set of products rather than seeking one SKU. Review category traffic, assisted product views, transactions, merchandising, internal links, and query coverage in the store's own data before deciding where category pages sit in the priority order.

Large catalogues usually need repeatable rules for product titles, descriptions, structured data, internal links, reviews, images, and breadcrumbs. The highest-value or highest-opportunity products can then receive deeper manual work. The split should follow catalogue size, revenue concentration, margin, search demand, data quality, and implementation capacity rather than a fixed percentage applied to every store.

Yes: they are complementary, not substitutes. Organic SEO captures research and shopping queries where the buyer wants to read, compare, and click into your category or PDP. Google Shopping (and the Merchant Center feed underneath it) captures buyers who already know what they want and are price-comparing across retailers. The overlap is in the schema layer: well-structured Product / Offer schema on PDPs feeds organic rich results AND improves Merchant Center match quality. We treat the Merchant Center feed as part of the SEO surface area, not a separate paid-media silo. See the /google-shopping deep dive for the feed-quality, GMC disapproval, and Performance Max overlap layer.

AI Overviews and other AI-assisted results can answer product-research questions before a buyer visits a retailer. The practical response is to review which commercial questions trigger those surfaces, which sources are cited, and whether the brand's product facts, comparisons, structured data, and entity information are clear and supportable. Where relevant, that work can be included in scope, but no engine citation or recovered click volume is guaranteed.

The fundamentals are the same, category architecture, PDP schema, internal linking, Core Web Vitals, but each platform has its own gotchas. Shopify: native SEO is strong but collection pagination, automatic redirects on URL changes, and the /collections/all canonical issue catch teams out. Magento / Adobe Commerce: highly configurable but heavy, performance tuning is a constant project. BigCommerce: strong native schema, weaker app ecosystem. WooCommerce: plugin-driven, varies by stack. Headless (Next.js, Remix, custom): you own performance and rendering, which is a leadership position when implemented well and a disaster when not. We adapt the playbook to the platform rather than running the same checklist across all of them.

Marketplace SEO is distinct from owned-site SEO. Amazon, Etsy, Walmart, and other marketplaces have their own search, advertising, content, and merchandising systems. The useful decision is channel-specific: identify where buyers discover and purchase, what the marketplace costs, which queries the owned site can serve credibly, and how product information stays consistent. A hybrid model may fit, but the recommendation should follow the brand's margins, customer data, fulfilment, and current demand.

We begin with the store's category, product-page, technical, merchandising, and measurement evidence instead of a fixed content quota. Where AI-assisted discovery matters, Outrigger can support dated prompt samples and source review. Where digital PR is in scope, PressForge can support research, pitching, and follow-up. Independent systems and editors still decide what they cite or publish. Joel's books and wider background are available on the About page.

Every ecommerce store retires products, and how you handle those pages decides whether the ranking they earned survives. We decide page by page: keep the URL live and point visitors to relevant alternatives, redirect it to the closest match, or let it go. Google Search Console shows which retired pages still bring search traffic to your website, so nothing valuable disappears quietly. Seasonal lines that come back each year keep their page rather than being rebuilt from nothing, which also protects any link or customer reviews that page collected.

Filtered and sorted URLs are the most common technical problem we find on an ecommerce website, because every size, brand and price filter can spawn another crawlable page. We decide which filter combinations match keywords shoppers use and deserve indexing, and which get closed off so Google spends its crawl budget on pages that sell. Variants get consolidated to one canonical product page, so link value is not split. It is unglamorous technical work, and usually why a large online store with good products cannot get its strongest pages ranking against smaller ecommerce websites.

Build the strategy backwards from your peak. Pages that need to rank in your busiest trading window should be live and indexed well before it opens, because Google and other search engines take time to trust new content and customers research gifts long before they buy. Starting inside the peak is the expensive version: you spend the season fixing a website while paid traffic carries the business. Quiet months are for technical cleanup, keyword research and new pages, so the online store meets its season already ranking for relevant keywords.

Google Analytics and Google Search Console are the honest scoreboard for an ecommerce website: organic sessions, revenue by landing page, and which product pages convert. We report the keywords a page is ranking for and what those visitors do next, separate from paid channels. Marketing reporting should help you decide where the next dollar goes. That also shows when the strategy is wrong. If a keyword brings browsers rather than buyers, we would rather find that early and move the work to terms your customers use. Results you cannot trace are not results.