Ecommerce SEO
Make every product easy to find, understand and recommend.
Ecommerce SEO is largely an architecture problem. We fix the structure, invest in the pages that actually sell, and make your product data something search engines and AI shopping assistants can use.
Why ecommerce search is different.
The moves that matter in Ecommerce.
same toolkit. different order.- 1 Faceted navigationDeciding which filter combinations get indexed, which are canonicalised and which are blocked.
- 2 Category pagesTreated as the main revenue pages they are — with structure, copy and internal links.
- 3 Structured product dataComplete, consistent product data as a competitive advantage in search and AI shopping.
- 4 Inventory lifecycleA deliberate policy for out-of-stock and discontinued URLs, so authority is kept, not lost.
Two or three of these.
What we report.
Always against a day-one baseline you keep. Where attribution can’t be traced cleanly, we say so.
Should out-of-stock products be removed?
Usually not. Keep pages for products that come back and show availability. For discontinued ones, redirect to the closest equivalent or parent category — deleting them throws away their links and rankings.
How do AI assistants affect ecommerce?
Product research increasingly starts with an assistant, which leans on structured product data, reviews and comparisons. Complete product data is the most direct lever most retailers have.
Our platform is limited. Is that a problem?
It narrows the options, but doesn’t remove them. We scope recommendations to what your stack can actually ship, and flag the real costs.
Let’s find out where you stand.
A 30-minute call. We’ll look at your search and AI visibility together and tell you whether we’re the right fit — including when we’re not.
Let’s talk →