What is ecommerce SEO?

SEO for an online store is not a different SEO: it is the same one, applied to pages that behave differently. On a blog, every page is an article someone writes. In a store, most pages come out of a template and a database: thousands of product pages, hundreds of categories and, if nobody controls it, a URL for every filter and every variant. That is why ecommerce SEO is decided less in the wording of a single page and more in the structure, the templates and the product data. And that is why Google gives it a section of its own in its documentation.

What it includes

Google frames the problem from the shopper's side: for a store, the challenge is being discovered in Search at every stage of the purchase, and when you share your product data and your site's structure with Google, it has an easier time finding and understanding your content, which can then appear in Search and on other Google surfaces.⁠^{[1]Google Search Central. Ecommerce SEO best practices} Its guide covers five fronts, and each has its own entry in this glossary.

Structure and links. Google understands a store's structure from the links between pages, not from the folders in the URL: from the menu to the categories, from the categories to the subcategories and from there to every product page. The more links a page receives within the site, the more relative importance it has. If a category page doesn't link to all its products, Google may not find them all by crawling.⁠^{[2]Google Search Central. Help Google understand your ecommerce site structure} This is the territory of internal linking.

URLs. Google recommends descriptive words in the path instead of numbers, not using fragments (#black) to show different content, because it doesn't use them for indexing, and choosing a path segment or a parameter for variants. Above all, it asks you to use the same URL in internal links, in the sitemap and in the canonical.⁠^{[3]Google Search Central. Designing a URL structure for ecommerce sites} Product variants and faceted navigation are the two sources of repeated URLs that give the most work.

Product data. Google receives it two ways: structured data on the product pages and the feeds you upload to Google Merchant Center. Using both carries a risk Google names: when combining data from the site and from the feed, the delay between one and the other can create inconsistencies, and for that it suggests configuring Merchant Center to update from the site.⁠^{[4]Google Search Central. Share your product data with Google}

Surfaces. A store doesn't compete only for the ten blue links. Its content can appear in Search, in Google Images, in Google Lens, in the Shopping tab, in Business Profile and in Maps. For the Shopping tab, Lens and Maps, Google requires products to be in Merchant Center; structured data helps in Search results.⁠^{[5]Google Search Central. Where ecommerce data can appear on Google}

AI. Google says that, from the standpoint of its Search, optimizing for generative AI search is optimizing for the search experience, and so it is still SEO. For a store it adds something concrete: generative answers can include product listings and information, and Merchant Center feeds help your products be seen both in those answers and in the rest of the results.⁠^{[6]Google Search Central. Optimizing your website for generative AI features on Google Search} What it asks of content is that it not be interchangeable: not repeating what the internet already says or what any model could produce, but contributing your own experience.⁠^{[6]Google Search Central. Optimizing your website for generative AI features on Google Search} In a store, that means the description that says who the product is for and what its limits are, not the manufacturer's copy repeated across a hundred sites.

In a store

A made-up example: the page types of a photography store, the search each one answers and what gets worked on in it.

The table says something that is often forgotten: each page type has its own search, and a store that tries to rank product pages for the category search, or filters for the product search, competes against itself.

How to check it

1. Compare how many products you have with how many product pages Google has indexed. The pages report in Search Console tells you which are indexed and why the rest are not.
2. Reach three product pages from the homepage using only links, without the internal search. If one has no path, Google may not find it by crawling.⁠^{[2]Google Search Central. Help Google understand your ecommerce site structure}
3. Open the same product page with a variant selected and from a category, and look at its canonical: it has to be the same URL your links and your sitemap use.⁠^{[3]Google Search Central. Designing a URL structure for ecommerce sites}
4. Compare a product page with its product in Merchant Center: price and availability have to match, because Google combines the two sources.⁠^{[4]Google Search Central. Share your product data with Google}
5. Search for one of your products in the Shopping tab and in Google Lens. If it appears in neither, first check whether it is in Merchant Center.⁠^{[5]Google Search Central. Where ecommerce data can appear on Google}

Related concept: AI SEO

AI SEO is defined by the search engine, and ecommerce SEO by the type of site. The first asks how a site gets into the answers of assistants and AI search engines, and shares ground with GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization); the second, how SEO is done when the site is a catalog. They meet at the AI-ready product page, the part of a store's SEO that thinks of a reader who is not a person. For Google, in any case, the two end up in the same place: it is SEO.⁠^{[6]Google Search Central. Optimizing your website for generative AI features on Google Search}

To go further, the catalog and entities reading path orders the rest of the terms, and the comparison GEO, AEO and SEO: what changes for an online store separates what each name promises.