CASE STUDY

AI-Powered SEO for E-commerce

Published 12 februari 2026

From 40,000 product pages to fully optimized, multilingual SEO – completely automated

A client approached us with a clear challenge: their online store had grown rapidly, but the content hadn’t scaled at the same pace. With more than 40,000 products, there was no structured way to manage SEO, product copy, or metadata – and everything was handled manually.

At the same time, the company planned to expand internationally and translate the entire catalog into eleven languages.

In practice, this meant producing, optimizing, and adapting hundreds of thousands of lines of content.

Doing it by hand simply wasn’t realistic. It would have taken months – and cost millions.

From Page 3 to Page 1 – Across the Entire Product Catalog

Once the system was implemented, the average Google ranking for Voosestore’s 40,000 product pages improved from page 3 to page 1.

This meant that thousands of products moved from low visibility to top-page positions where customers actually click.

The challenge of SEO at scale

Optimizing a few hundred products is manageable.
Doing the same for tens of thousands is something else entirely.

Every product page needs a relevant title, a description that both ranks and converts, and properly structured metadata. As volumes increase, the task quickly becomes a logistical problem rather than a writing one.

Many teams try to solve this using AI in regular chat tools. But bottlenecks appear fast: manual lists, split batches, version confusion, and inconsistent results between runs.

The alternative – hiring copywriters or agencies – becomes prohibitively expensive at this scale. When each product text costs even a modest amount, the total quickly spirals out of control.

The client faced a difficult choice: accept low search visibility or invest at a level that simply wasn’t sustainable.

The solution: automated product optimization with Enrichely

Instead of working manually or across isolated AI sessions, we built a structured process directly around AI models.

The result was Enrichely – a tool specifically designed to manage large volumes of product data in a structured and automated way.

Rather than writing copy one product at a time, the entire catalog could be uploaded as a structured file. The system identifies fields such as titles, descriptions, and attributes, and then generates SEO-optimized content and metadata in one continuous flow.

Within the same process, it can:

  • improve tone and language quality
  • adapt content to search behavior
  • generate metadata
  • translate into multiple languages

The focus wasn’t on individual prompts, but on building a stable and repeatable workflow. When the process is controlled, quality stays consistent – even when thousands of products are handled simultaneously.

Work shifted from manual editing to an automated system where everything is traceable from import to publication.

The Impact in Numbers

  • 40,000 product pages optimized and structured
  • Multilingual SEO implemented across 11 languages
  • Average ranking improved from page 3 to page 1
  • Fully automated process – from import to publication

Results: from months to hours

Once the workflow was in place, the entire catalog could be processed in a single run.

Thousands of products received optimized titles, descriptions, and metadata. All content was translated into eleven languages and localized for each market.

What previously required months of manual work was completed in just a few hours.

The cost per product dropped dramatically – from hundreds of kronor to just a few.

For the client, this meant more than better texts. It led to higher visibility, access to new markets, and the ability to scale internationally without heavy upfront investments.

When does AI-based SEO make sense?

The need typically arises when volume makes manual work unsustainable.

It’s rarely about finding the “perfect prompt” – it’s about building a functioning system. When AI is integrated into a structured process instead of used ad hoc, results become both more scalable and more predictable.

The same method applies not only to product catalogs, but also to manuals, marketplaces, inventory data, and other types of structured content.

Most importantly, it reduces risk. What once required large budgets and long projects can now be tested quickly and cost-effectively.

Want to automate SEO for your online store?

With Enrichely, you can upload your entire product catalog and automatically generate SEO-optimized titles, descriptions, and metadata – in hours instead of months. The same workflow can also translate content into multiple languages and accelerate expansion into new markets.

Instead of manual copywriting, you get a repeatable and cost-efficient process where entire catalogs are optimized at once.

Curious how this could work for your store? Get in touch and we’ll walk you through your current setup and show you exactly how much time and cost you could save.

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