A beautiful store and great products aren't enough if buyers can't find you, and even if they find you, plain blue links without ratings, pricing, or availability showing in the results lose clicks to a competitor whose listing actually stands out.
eCommerce SEO has its own set of problems a generalist approach doesn't solve: thousands of product pages competing against your own category pages for the same keywords, crawl budget wasted on filtered URL variations Google never needed to see, and product data that has to stay perfectly synced across your site, your schema, and your Merchant Center feed or risk getting flagged as untrustworthy.
I fix the technical and content layer specifically for online stores, on Shopify, WooCommerce, or Magento, so your products show up, stand out, and convert once they're found.
The four issues above are structural patterns baked into every catalogue-driven site: URL explosion from filters, duplicate content from manufacturer feeds, category pages cannibalizing their own products. Generic SEO was never designed to handle this at scale. Here's exactly what makes eCommerce different and how the strategy shifts because of it.
AI Overviews now appear on a meaningfully growing share of shopping queries, and AI shopping agents that compare products and pre-fill carts on a buyer's behalf are an emerging, real behavior, not a future hypothetical. Both depend entirely on whether your product data is structured cleanly enough for a machine to read it confidently.
This isn't a separate add-on service. Complete schema, accurate feed data, and genuinely useful supporting content are the same foundational work that earns traditional rich results and AI shopping visibility simultaneously, just read by a different system.