
Rebalancing the acquisition mix towards organic
An online store came to us because its growth depended entirely on advertising: every sale cost a purchased click, and profitability eroded as bids kept rising. Over seven months we rebuilt the catalogue's organic foundation: here is the diagnosis and the workstreams, in order.
Context
The client runs an online store in a competitive market, with a catalog of several hundred SKUs. The product sold, but at a price: an acquisition mix dominated by paid, where every euro of revenue depended on a euro of advertising.
It's the classic problem of e-commerce on a paid-ads drip: as long as the budget runs, sales come in. The day you switch it off, everything stops. The client was looking for an acquisition channel that appreciates over time instead of getting more expensive — which is exactly what organic SEO delivers when it's built properly.
The challenge
The initial audit revealed three structural weaknesses:
- Invisible product pages. Descriptions duplicated from the supplier, zero unique content, no
Productmarkup. Google had no reason to prefer these pages over those of ten identical competitors. - A chaotic category architecture. Category pages too thin, cannibalization between URLs, almost no internal linking. Authority was diluted instead of being concentrated.
- No presence in AI search. Queries like "best [product] for [use]" returned third-party comparisons and competitors — never the client.
The goal: build an organic channel capable of carrying growth without depending on the ad budget, and capture the new recommendation queries flowing through the AIs.
Our approach
The engagement followed the four steps of the LUWIZ Method.
A technical audit of the site (indexing, speed, product markup), an analysis of cannibalization between categories, and identification of the high-volume transactional queries where the client was absent.
Rewrote the priority product pages with unique, structured content, rebuilt the category tree into silos, and deployed Product + BreadcrumbList schema markup.
Created buying guides and comparison pages linked to the product pages, an E-E-A-T signal on editorial pages, and link building on sector media.
Monthly tracking of organic traffic, overall acquisition cost and rankings on transactional queries, with two full reports a month.
The most profitable decision was to treat buying guides as AI-citable content. A "how to choose [product]" page, well structured into self-contained passages, ranks on Google, captures a buyer in the consideration phase, and becomes a source ChatGPT or Perplexity can cite. One page, three channels — the best effort-to-visibility ratio on the market.
What the engagement changed
The most structural change isn't a traffic number: it's that dependence on paid receded. The client was able to reinvest part of the ad budget into margin or into new products, because organic now carried a growing share of sales — a share that doesn't get more expensive with every bid.
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