Industry
SEO and AI search for Ecommerce
Stores fight two battles: getting the right pages indexed out of thousands, and being recommended when shoppers ask what to buy. We fix the first and measure the second.
What buyers ask
The questions your customers put to search and AI assistants
- What is the best [product] for [use]?
- [Brand] vs [brand]
- Where can I buy [product]?
- Is [product] any good?
- Best [product] under a budget
Usual blockers
What typically holds this industry back
Filter and facet bloat
Filtering creates thousands of near-identical pages that dilute the ones that matter.
Thin product pages
Manufacturer text copied across stores gives search engines no reason to prefer yours.
Missing product data
Without structured data assistants cannot read your products, availability or reviews reliably.
First 90 days
What we prioritise
- Map which catalogue pages are indexed and which should be
- Fix filter and canonical handling
- Rewrite the top category and product pages
- Add product and review markup that passes validation
Measures
What we report
- Organic orders and revenue from search
- Share of key products and categories indexed
- Named in AI shopping answers
In their words
What clients say
I had been told for years that our pages were fine. They found the stray tag blocking forty of them in the first week.
They explained each finding in plain words, then did the work. I did not need to learn SEO to benefit from it.
Ready to be found by Google and named by AI assistants?
Book a 30-minute call. We prepare a free audit of your site first, so you leave with a written read whether or not you hire us.