Industries · Ecommerce and retail
Large catalogs win or lose on architecture. We build the collection structure, product pages and structured data that help stores rank in Google and appear when shoppers ask AI tools what to buy. It is the same work behind HauteFlair, Spooky Costumes and ThirdLust.
The search problem
Every new product, filter and collection creates URLs. Without a plan, most of them compete with each other or never get indexed at all.
01
Filters, sorting and variants can turn one category into thousands of near-identical URLs that waste crawl budget and split rankings.
02
Collection pages are where most commercial searches land, yet many are only a product grid with nothing that helps a shopper choose.
03
AI shopping answers lean on structured product facts. Missing price, availability, sizing or review markup keeps products out of them.
What we do
We work across the whole store, not only the blog. Each program starts with the pages that carry the most revenue.
A taxonomy built on search demand, with clear rules for which filter combinations earn their own indexable page.
Titles, descriptions, sizing and fit help, FAQs and review placement, written to rank and to convert.
Product, Offer, Review and Breadcrumb markup that matches exactly what each page shows.
Guides and comparisons that answer pre-purchase questions and link shoppers into the right collections.
Crawl control, canonical rules, page speed and platform migrations, on Shopify and beyond.
Clean Merchant Center feeds and supplier data, including EDI connections for dropship catalogs.
AI search for stores
Shoppers ask ChatGPT, Perplexity and Google AI Overviews for recommendations. Those answers favor clear product facts and sources they trust.
Comparison and buying-guide pages written so answer engines can quote a clear recommendation and the reason for it.
Specs, sizing and pricing that match across pages, feeds and markup, so AI tools state them correctly.
Organization data and third-party mentions that help AI systems recognize the brand behind the products.
A fixed set of shopping prompts tracked each month to see where the brand is cited and where it is missing.
FAQ
Ecommerce SEO is mostly architecture. The work centers on which category, filter and product URLs should exist and be indexed, and on making those pages useful. Blog content plays a supporting role.
Yes. Most of our ecommerce work is on Shopify, including custom themes, collection structure, product schema and large catalog builds. We also work on other platforms.
Only the filter combinations people actually search for, such as a color or material within a category. The rest stay usable for shoppers but are kept out of the index so they do not compete with core pages.
AI tools draw on product data from the page, structured markup and shopping feeds, plus reviews and mentions elsewhere. Accurate, consistent product facts and clear buying guides make a store easier to cite.
Ecommerce
Tell us about your catalog and platform. We will show you which pages are holding revenue back and what to fix first.