Fix Your Product Datafor AI Search
AI shopping assistants cannot recommend products they cannot understand. Dyver enriches missing and unclear product information across your whole catalog, so every product is complete, consistent and ready to compare by AI agents.
500 free Enrichment Tokens, with no demo required. See the cost before you run anything.
Before & After Enrichment
From Name to Listing
From just a product name to a complete listing: full description, attributes, and images, ready to publish.
Click any image to view the gallery
Click any image to view the gallery
























































Search ranks pages while AI compares products.
Search engines match keywords to pages and rank the results. AI shopping assistants go one step further. They read your product data, compare it with the alternatives and give the customer a short list of options.
Products with complete, consistent data are the ones AI can read and compare. Missing or messy data leaves your product out of the comparison before the customer ever sees it. Complete data is how your product earns its place in the answer.
What AI reads, and what Dyver fixes
1
Complete attributes
Dimensions, materials, compatibility, capacity and category specific specs give AI concrete facts to compare. → Dyver finds missing specs in supplier, manufacturer and web sources, and extracts attributes from the data you already have.
2
Accurate categories
A specific category tells AI what the product is and which alternatives to compare it with. → Dyver maps every product to the right category and subcategory for each channel.
3
Consistent values
"50cm", "0.5 m" and "50 centimeters" are three different values in a filter structure. → Dyver normalizes values across the whole catalog, so every product is described the same way.
4
Specific descriptions
AI needs to know what the product does, who it is for and why it is relevant. Promotional text gives it nothing to use. → Dyver writes specific descriptions in your brand voice so that AI agents can understand what to tell your customers.
5
Reliable identifiers
SKU, EAN and GTIN separate one product from another and connect information across sources. → Dyver matches data across sources by identifier and removes duplicates, so every product has one clear, and complete identity.
You do not need a separate AI shopping catalog
The enrichment that improves your listings for customers, marketplaces, filters and search engines also makes your products easier for AI to read and compare. Dyver completes, standardizes, categorizes, describes and localizes your product data in one workflow. No separate AI project and no sales call to get started. Run it on your real product data, see the cost before every job, and pay only for the enrichment you choose to run.
From messy data to ready-to-publish,
through a conversation.
Got messy catalog data?
Data from a supplier that doesn't match your channel's requirements?
Dyver's AI Assistant turns that mess into ready-to-publish product data,
through a simple conversation.
Upload your data
Drop in your incoming product data, as-is: incomplete fields, inconsistent formatting, whatever shape it's in.
Tell the AI Assistant what you need
Describe your target format and validation rules in plain language. No specs, no templates, just talk it through.
Let it ask the smart questions
The AI Assistant compares your input to your desired output and asks the clarifying questions needed to get it right, before any work begins.
Watch your workflow come to life
Once your requirements are clear, Dyver's AI Assistant designs a complete enrichment workflow automatically.
Stay in the loop
While the workflow is taking shape step by step, you can ask questions or fine-tune it along the way.
Test it instantly
Workflow ready? Run it right away and review the results directly in Dyver's catalog.
Refine together
Review your enriched products and collaborate with the Agent on any final tweaks.
Go live
Run the final execution and get your fully enriched catalog data. Done.
What used to take hours now takes minutes.
Loved by eCommerce teams that scale smarter
To Production in Weeks
Physical inventory to digital catalogs
From offline to online
At Miinto, we work with hundreds of fashion retailers, many of whom have extensive physical inventory but limited or no digital product data. Helping these partners sell online at scale is a major operational challenge.
Dyver enabled us to transform those catalogs into production-ready enriched feeds across multiple stores and markets within weeks. The results were strong enough that we stopped developing an internal alternative and adopted Dyver as our long-term solution.

Niccolò Coppo
Director of Partner Operations · Miinto
2x more eMAG orders
Large-scale marketplace growth
3,000+ products listed across 60 categories
When it comes to eMAG, listing products is not straightforward. Each category requires its own template, and preparing thousands of products for publication was an enormous manual effort. Managing product data at scale was slowing down our marketplace growth.
Before Dyver, listing our catalog on eMAG felt out of reach due to the effort required. Dyver helped us enrich and structure over 3,000 products across more than 60 categories, enabling large-scale marketplace onboarding. Since listing these products on eMAG, the number of marketplace orders has doubled.
Daniel Chivu
Managing Director · VivaDeco
6 months → 2 weeks
Localization time cut
Game-changer for international growth
Dyver.AI's automated translation tools helped us cut down a six-month manual process to just two weeks.
This allowed us to focus on expanding internationally, without worrying about the complexities of localization.

Claudia Tudor
Deputy General Manager · F64
6 new stores
Opened with ease
Critical partner for marketplace growth
Dyver.AI has been a critical partner in helping us build a successful marketplace.
By making product listings quicker and more efficient, we have been able to grow faster and manage operations smoothly, welcoming new sellers constantly and opening 6 new stores with ease.

Norbert Kun-Makczi
Executive Director · UsedProducts
10,000 destinations
Managed worldwide
Better listings, better customer experience
Thanks to Dyver.AI, we've drastically improved how we manage content for 10,000 destinations worldwide.
Their translation API not only saved us time but also improved the quality of our listings, giving our customers the detailed and accurate information they expect.

Dorel Vlad
CEO · DirectBooking
80% faster
Image processing speed
50% more listings. 3–5x quicker publishing.
Pirinsport's product listing was slow and tedious. Then Dyver.AI stepped in.
Now, descriptions take half the time, image processing is 80% faster and we've boosted listing capacity by 50%. Publishing is 3–5 times quicker, so easy that our team jokes they can do it while watching football.

Blagoy Gunchev
Website Operations Manager · Pirinsport
8,000+ SKUs
Onboarded without manual work
From weeks of work to a seamless catalog
Working with Dyver.AI has been a game-changer for our team at UrsuDepot.
One of our biggest challenges was onboarding over 8,000 SKUs without spending weeks on manual listing, writing descriptions, and formatting attributes. Dyver solved that completely.

Daniel Teodorescu
E-commerce Manager · Ursu Construct 2005
1,300+ descriptions
SEO-ready, in record time
From local shop to nationwide brand
Dyver.AI transformed GoodBooze from a local shop into a nationwide online brand.
Generating 1,300+ SEO-ready product descriptions in record time and helping us launch with professional, consistent content effortlessly.

Alexandru Otelea
Co-founder · GoodBooze
10 European markets
Consistent brand voice across languages
Structured, localized content ready to use
Working with Dyver.AI helped us simplify a complex localization process across 10 European markets, accurately translated and adapted with the right terminology, tone, and structure for technical outdoor products, without losing the local brand voice.
Dyver.AI delivered production-ready content that integrated directly into our workflows and made day-to-day operations significantly easier for the whole team.

Adrian Cosma
Int. Sales Director - EU · Northfinder a.s.
4,500+ products
Structured and imported in weeks
From manual workload to a launch-ready catalog
Preparing the launch of Zilan meant organizing 4,500+ products before importing them into a new e-commerce platform, a task that would have taken months of manual work.
With Dyver.AI, it took weeks. The automation kept our entire launch timeline on track and freed the team to focus on what actually drives the business forward.

Marius Palca
Business Developer · Zilan
Frequently Asked Questions
Complete attributes, accurate categories, consistent values, reliable identifiers, and clear descriptions all help AI agents understand and compare products more confidently. These are not entirely separate requirements from traditional catalog optimization. They are improvements to the underlying quality of your product data.
SEO focuses largely on helping pages rank in search results and attract organic traffic. AI shopping readiness focuses on making product information clear, structured, and complete enough for AI systems to understand, compare, and use when answering product-related questions. There is overlap, since both benefit from high-quality product information, but their objectives are different. AEO and GEO focus on helping your products appear in AI-generated answers and recommendations. AI shopping agents go a step further: they can filter, compare, and, in some cases, purchase products based on a shopper’s needs.
Complete and consistent data improves the information available to an AI system. It does not control which products the system ultimately recommends. Think of strong product data as a prerequisite for being understood, not a guarantee of being selected.
Start with products or catalog areas where you already know the data needs improvement. That may include missing attributes, weak descriptions, inconsistent values, poor categorization, or content that needs localization. You can then use Dyver to enrich and standardize that data at scale.
A full enrichment workflow costs 16ET per SKU. You can start with 500 free Enrichment Tokens (ETs) to try the workflow on ~30 real products before committing to a larger run.
