eCommerce SEO That Drives Sales, Not Just Rankings
General SEO advice wasn’t written for eCommerce. It was written for blogs, information websites, and service businesses. eCommerce SEO is a different as you’re optimizing thousands of product pages, managing category structures, feeding Google Shopping, and staying visible through algorithm updates that treat your site differently than a content site.
I’ve been doing eCommerce SEO specifically for over eight years.
Why eCommerce SEO Is Different
A blog post ranks by being the best answer to a question. A product page ranks by being the most relevant, most trustworthy result for a purchase query. It has to do that across hundreds or thousands of similar pages without looking like duplicate content.
The issues are also different.
- Faceted navigation creating thousands of thin indexed pages.
- Out-of-stock products losing rankings.
- Product titles optimized for internal catalog systems instead of how customers actually search.
- Category pages with no content.
- Site architecture that buries your best products four clicks deep.
These aren’t beginner SEO problems. They’re structural problems that take platform knowledge to correct.
What eCommerce SEO Involves
Product Page Optimization Titles, meta descriptions, H1s, body copy, and schema markup structured the way search engines read them. For B2B products, this means working with SKUs, part numbers, specs, taxonomies, and technical terminology that customers actually search for.
Category & Navigation Structure How your categories are organized determines what you can rank for. I audit category hierarchies, faceted navigation, and internal linking to make sure search engines can find and index your best pages. And the most important part, makig sure that customers can navigate to products without thinking about it and with the less clicks as possible.
Technical SEO Crawlability, indexation, site speed, duplicate content from product variants, pagination, canonical tags, and XML sitemaps. On a large catalog these issues compound fast. I use Screaming Frog, Semrush, Ahreafs, and Sitebulb to audit at scale.
Google Shopping & Feed Optimization Google Merchant Center is where a lot of eCommerce SEO work shows up in actual revenue. Product titles, descriptions, and attributes in your feed directly affect where your products appear in Shopping results. I’ve managed GMC feeds for B2B businesses and know what gets products approved, flagged, and ranked.
Keyword Research for Products Finding how customers describe your products and not just how your internal catalog does. For industrial, distribution, and technical businesses, this often means bridging the gap between technical part names and plain-language search terms.
For example: Metric threads for metric-sized hydraulics are also referred to as M-Threads. Why not add s
Content Strategy for eCommerce Buying guides, comparison content, and category-level content that pulls in top-of-funnel traffic and connects it to product pages. Not blogging for the sake of it — content with a clear path to a product or a sale.
Results
Atlanta Rubber & Hydraulics Inherited a BigCommerce site with broken extensions, payment processing issues, and underperforming revenue. Rebuilt the site architecture, rebuilt the product catalog with proper SEO structure, and managed Google Ads alongside organic. The site grew to 8,000+ keywords and contributed to nearly $500K in online sales in my final year. The company was acquired in 2023.

Tipco Technologies Keyword rankings grew from 7,500 to 10,000 during my time there.

Platforms I Work With
Shopify · WooCommerce · BigCommerce · Magento · Unilog · DDI eCommerce Pro · Nexternal
I’ve also worked with Akeneo for PIM and Epicor, DDI Inform, and Microsoft Dynamics on the ERP side. These matters when your product data lives in an ERP and needs to feed your eCommerce site cleanly.
Modern eCommerce SEO: GEO and AI Search Visibility
Search behavior is changing. Customers are using AI tools, ChatGPT, Google’s AI Overviews, Perplexity, to research products before they buy. These tools pull from the same signals traditional SEO is built on: well-structured content, clear answers, credible sources, and proper schema markup.
For eCommerce stores this means:
- Structured data — schema markup for products, reviews, and pricing so AI tools can read and cite your pages
- FAQ and comparison content — the format AI tools pull from most often
- Clear, direct product and category descriptions — no filler, no keyword stuffing, accurate information
- Authority signals — links, citations, and content depth that makes your site worth referencing
GEO and AIO aren’t replacements for SEO. They are extensions of it.
The stores already doing eCommerce SEO right are already positioned for AI search. They just need to know where to tune.
Let’s Connect
I’m open to new opportunities and always up for a good conversation.
Whether you’re looking to bring on a marketing professional, need help with a project, or just want to swap adventure stories over coffee, reach out.
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