CASE STUDY

AI-Powered SEO for E-commerce

Q: What does AI-driven SEO for ecommerce mean?

It means the product catalog can be processed at scale through a structured workflow where titles, product descriptions, metadata, and language versions are created or improved more systematically. Instead of optimizing individual pages manually, the entire catalog can be handled in a way that is faster, more consistent, and more scalable.

Q: What kind of ecommerce stores is this best suited for?

This solution is especially relevant for ecommerce stores with many products, thin content, or ambitions to expand into more markets. In the case shown, the catalog contained more than 40,000 products where the content had not scaled at the same pace as the assortment. That is exactly the kind of situation where manual SEO becomes too slow and too expensive.

Q: Can you optimize existing product pages, or does everything need to be created from scratch?

Both are possible. If product pages already exist, they can be improved and restructured. If the content is very limited, stronger titles, descriptions, and metadata can also be built from the product data that is already available. The setup depends on what the current catalog looks like.

Q: Will the content be unique and adapted for search engines?

The goal is for the content to become clearer, more relevant, and better aligned with how customers actually search. It is not just about creating more words, but about building content that gives better structure, stronger metadata, and a more usable whole across many product pages at once.

Q: How does this work when you are dealing with very large volumes?

When a catalog contains thousands or tens of thousands of products, the process has to be repeatable and controlled. That is why we do not build the work around manual one-off efforts, but around a workflow where product data is imported, processed, and finalized at scale. That is what makes it possible to handle large volumes without quality becoming too inconsistent.

Q: Can you handle multiple languages at the same time?

Yes. In the case shown, the same core process was used to support multiple languages and expansion into new markets. Once content is already being handled in a structured way, it also becomes much more realistic to adapt the full product catalog for additional languages without the workload increasing linearly.

Q: How do you ensure quality when so many products are handled at once?

Large volumes require a clear system. That is why we work with structure, rules, and a controlled workflow instead of loose manual AI work. This reduces the risk of uneven tone, inconsistent metadata, and versions that differ too much across the catalog.

Published 12 februari 2026

An e-commerce client had grown quickly, but their content hadn’t kept up. The result: 40,000 product pages with no structure, no SEO, and no way to scale. We automated the entire process – and improved their average Google ranking from page 3 to page 1.

The Brief

Voosestore had a catalogue of over 40,000 products and a clear ambition to expand internationally across eleven languages. The problem was that every product page needed optimised titles, descriptions, and metadata – and everything was handled manually. Doing it by hand simply wasn’t realistic. It would have taken months and cost a fortune.

The challenge: SEO at a scale where manual work breaks down

Optimising a few hundred products is manageable. Tens of thousands is a different problem entirely. Every product page needs a relevant title, a description that both ranks and converts, and correct metadata. As volumes grow, the work quickly becomes a logistics problem rather than a language one.

The client had 40,000 product pages with no SEO structure
Everything was handled manually – inconsistent quality and slow output
The ambition to expand to 11 languages was impossible at manual speed
External copywriters or agencies would have cost an unrealistic amount at this scale

The solution: an automated workflow with Enrichely

Instead of working manually or running separate AI sessions, we built a structured process directly around the AI models. The entire product catalogue was imported as a single file – the system identified fields like titles, descriptions, and attributes, then generated SEO-optimised copy and metadata in one continuous workflow.

The entire catalogue was imported and processed in a single step
The system automatically generated optimised titles, descriptions, and metadata
Content was adapted for search behaviour in each target market
Everything was translated into eleven languages within the same process
Fully traceable workflow – from import to ready-to-publish

The results in numbers

40,000 product pages optimised and structured
Multilingual SEO implemented across 11 languages
Average ranking improved from page 3 to page 1
What previously took months was completed in a matter of hours
Cost per product dropped from hundreds of kronor to just a few

From months to hours

Once the workflow was in place, the entire catalogue could be processed in one continuous run. Thousands of products received optimised titles, descriptions, and metadata – all translated into eleven languages and adapted for each market.

For the client, it meant more than better copy. It meant greater visibility, new markets, and the ability to grow without large upfront investments.

Facing a similar challenge?

With Enrichely you can upload your entire product catalogue and automatically generate SEO-optimised titles, descriptions, and metadata – in hours rather than months. The same process handles multilingual expansion too.

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