Yasan vs. Magrano: unlimited search or an AI shop assistant?
Magrano or Yasan? A Czech search engine with unlimited queries and dynamic filters compared with an AI shop assistant that understands a natural sentence.
This article was written by the Yasan team, so Yasan is our own product. We aim for a fair comparison: facts about other solutions come from their public websites, and for each one we say when it is a better fit than Yasan.
Short answer
Magrano is a Czech intelligent search solution with autocomplete, dynamic filters, synonyms, typo tolerance, business control over results and an unlimited number of queries. Yasan is an AI shop assistant that, alongside ordinary search, focuses on understanding a natural sentence, product advice and a follow-up AI chat.
Magrano suits an online store that wants powerful classic search, predictable running costs and control over results. Yasan makes more sense where the shopper types a whole request into search, such as “stainless steel pot for induction, five litres, under €60”, or needs advice on what to choose.
What is Yasan
Yasan is an AI shop assistant built around search. It handles an exact product name as ordinary search. For a more complex query it tries to recognise the category, parameters, budget and intended use.
This matters most for queries between the two extremes. A shopper may not know the exact model, but is not looking for just a generic “gift” either. They might type “car building set for a six-year-old boy under €40” or “induction frying pan that can go in the oven”. Yasan tries to turn these conditions straight into a selection of products.
It uses the same product knowledge in its AI chat. A shopper can ask about the differences between products or their suitability for a specific use. If the store has its order data connected, Yasan can also help with order status once the customer has been verified.
What is Magrano
Magrano is a Czech search solution for online stores. It searches names, properties and categories, handles synonyms, inflection and typos, and its autocomplete can show products, categories, brands and articles. Results can be prioritised by relevance and by business criteria.
The current offering also includes dynamic filters on the results page. Magrano says it works with price, volume, category, brand and other parameters depending on the specific catalogue. It is not, however, presented as a conversational AI shop assistant or chatbot; AI appears mainly in search and in the prioritisation of results.
A notable difference is the pricing model. Magrano charges by catalogue size and does not limit the number of search queries. Yasan charges mainly by the store’s traffic, and its search and chat are also unlimited within fair use.
The main difference: managed search vs. conversational understanding of the need
Magrano offers richer classic search: autocomplete, a results page, relevant filters and business ranking. The store can optimise the results and the shopper narrows the selection further.
Yasan tries to get more information from the original sentence. For the query “car building set for a six-year-old child under €40” it should not search just for the words “building set”, but also for age, theme and budget. If the need is unclear, it can advise the shopper and continue in chat.
So the difference is not “one searches and the other advises”. Both solutions search and both work with relevance. But Yasan puts more emphasis on AI interpretation of a compound query and the dialogue that follows, while Magrano emphasises sophisticated search, filters and predictable operation with no query limit.
Comparison by situation
| Situation | Yasan | Magrano |
|---|---|---|
| Exact product name | Ordinary search results | Autocomplete with products, categories, brands and articles |
| Typo or synonym | Works with the meaning of the query | Tolerance of typos, synonyms and different word forms |
| Product with price and parameters in one sentence | Tries to turn the constraints straight into results | The current product states that it works with parameters; the result depends on data and implementation |
| Advice-seeking question | AI answer and the option to continue in chat | Classic results and filters, without a conversational adviser |
| Dynamic filters | Less emphasis | One of the main features of the results page |
| Business prioritisation | Less emphasis | Ranking by relevance, sales performance, margin and other rules |
| High number of queries | Unlimited search within fair use, plan based on the store’s traffic | Unlimited number of searches |
How we compared
The comparison is based on both vendors’ public websites, verified on 1 November 2026, and on a short, informal trial on several live stores in October 2026. It was neither a benchmark nor a representative sample, so we do not use results from individual stores to rate the products.
On the stores we tried, Magrano coped well with exact queries and typos, and the autocomplete showed price and stock. The vendor describes its handling of compound queries and parameters on its website; verify it on your own catalogue.
For your own decision we recommend a simple procedure: take 20–30 real queries from your customers, including the ones that end with no results today, and try them in both solutions on the same catalogue. The quality of answers and results depends mainly on product data and configuration, which differ for every store.
Where Magrano has the edge
Price independent of traffic
The price depends on catalogue size, not on the number of searches or visits. For a store with high traffic and heavy use of search, this model can be more predictable than a plan based on traffic.
Dynamic filters and the results page
Magrano can offer the shopper only the parameters relevant to the category just found. That is useful for catalogues where the shopper needs to narrow the selection step by step.
Business control over results
The order can be influenced by relevance, sales performance, margin and other rules. The store therefore does not have to rank results by text match alone.
Broad integration options
Magrano lists Shoptet, WooCommerce, Shopify, PrestaShop, Upgates, Magento, custom-built stores and a REST API. All it takes is a product feed and an integration code or the API, depending on the complexity of the project.
Transparent model and a longer trial
There is a public entry price, a 30-day trial with no card required, and a stated guarantee of a lower price when switching from a competitor as well as of a return on the solution.
Where Yasan has the edge
Understanding the whole sentence
Yasan focuses on situations where the shopper combines category, price, parameters and intended use. It does not expect the shopper to set all the conditions again by hand.
Product advice
If a shopper does not know which product to choose, Yasan can explain the differences, recommend a variant and ask a follow-up question. Magrano is primarily search and filtering, not a conversational shop assistant.
Search and chat on the same data
Knowledge of the catalogue is used both in the results and in the AI chat. A shopper can move from searching to a more detailed question about the same product.
Lower entry plan
Yasan’s lowest standard plan costs less than Magrano’s entry price. The comparison does, however, depend on the number of products, searches and the features you need.
Pricing
Yasan lists Starter at €31.99, Go at €82.99 and Pro at €206.90 per month excluding VAT. The plan is determined by the store’s traffic: Starter up to 8,000, Go up to 25,000 and Pro up to 100,000 unique visits per month, with a catalogue of up to 20,000, 50,000 and 75,000 products. AI search and the AI chatbot are unlimited within fair use in all plans. The trial lasts 14 days.
Magrano starts at 2,000 Kč per month for a catalogue of up to 1,000 products. The price rises with the number of products, and all features and an unlimited number of searches are meant to be included. The vendor offers an additional store or language version at half price. The trial period lasts 30 days with no payment card required.
Magrano derives its price from the number of products, Yasan mainly from the store’s traffic. Yasan has a lower entry price, and its search and chat are unlimited within fair use. A meaningful comparison therefore requires your own product count and real traffic.
When to choose Magrano
Magrano is probably the better choice if:
- shoppers mostly search for specific names, brands or categories;
- you want sophisticated autocomplete and dynamic filters;
- you need business control over the order of results;
- you have high traffic and a smaller catalogue, so pricing by number of products suits you;
- you use one of the widely supported e-commerce platforms;
- you want to evaluate search with an A/B test and a clear business benefit.
Example: an electronics store has well-structured parameters and shoppers search for specific models or brands. They then narrow the selection by price, performance, availability and manufacturer. Magrano gives them a traditional but significantly improved path.
When to choose Yasan
Yasan is probably the better choice if:
- shoppers search in whole sentences and combine several constraints;
- they need advice based on intended use, not just parameter filtering;
- you want the same search box to serve both an exact product and a more open-ended need;
- you want to follow up with an AI chat that has the same knowledge of the catalogue;
- you want to offer order information as well, depending on the integration;
- you prefer a lower entry plan.
Example: a kitchenware store gets queries such as “induction frying pan that can go in the oven and costs no more than €80”. If the shopper does not know the names of the parameters and does not want to look for them in filters, Yasan handles their situation more naturally.
When you need neither
Advanced search may not pay off for a store with a small, clear catalogue and simple categories. If a shopper can easily browse the range and hardly uses basic search, the investment may be unnecessary. First fix your product data, names and filters, and track which queries shoppers actually leave on.
Verdict
Magrano is a strong choice for a store that wants high-quality search, dynamic filters, business ranking and an unlimited number of queries at a price based on catalogue size. It makes the most sense where shoppers know what type of product or brand they are looking for and are willing to filter the selection further.
Yasan is the better fit where filters alone do not solve the problem, because the shopper describes their need in a natural sentence. It combines classic results, AI interpretation, advice and chat on the same catalogue.
Decide based on real queries. If models, brands and categories predominate, test Magrano. If shoppers write “I need X with feature Y up to price Z” or do not know which product to choose, test Yasan.
Updated 1 November 2026. Facts about other products are based on their public websites as of that date and may change. If you find an inaccuracy, let us know and we will correct it. Found an inaccuracy? Write to [email protected].
Try Yasan on your own catalogue
The best test uses your customers’ queries. Connect your catalogue, try 20–30 real queries and compare the results. The first 14 days are free.
Connects to Shoptet, Shopify, WooCommerce and other platforms. How to set up Yasan step by step