Yasan vs. Luigi’s Box: when you need advanced search and when an AI shop assistant
Luigi’s Box or Yasan? When mature search with filters, merchandising and analytics fits better, and when an AI shop assistant that understands whole sentences.
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
Luigi’s Box is a mature search and product discovery platform: it offers autocomplete, filters, recommendations, product ranking, merchandising and analytics. Yasan builds an AI shop assistant around search. It handles a simple query like ordinary search, brings in AI for a more complex request, and uses the same product knowledge to answer in chat as well.
Luigi’s Box makes more sense for an online store that wants robust control over classic search, filters, recommendations and merchandising. Yasan is the better fit where shoppers search in natural sentences, combine several parameters or need advice on what to choose.
What is Yasan
Yasan is an AI shop assistant for online stores. Its main feature is search that behaves in two ways depending on how complex the query is:
- An exact or simple query, such as “Nike Pegasus 41”, is handled as ordinary search.
- A more complex query, such as “red Nike Pegasus in size 42”, is broken down into product, colour and size, and Yasan tries to return matching results.
- For an open-ended request, such as “lightweight running shoes for tarmac and a wider foot”, it uses AI to understand the need and recommend suitable products.
What matters is the grey zone between “I know the exact name” and “I don’t know what I want”. A shopper often knows the category but adds a property that is usually hidden in filters: price, dimensions, material, compatibility, use or size. Yasan tries to turn these conditions straight into results.
Yasan can use the same knowledge of the product catalogue in its AI chat. Besides helping choose a product, it can also help with order status, provided the store has the necessary data and the feature switched on. When needed, a person from the store’s team takes over the conversation in live chat.
Yasan also offers email automation in its custom plan, but that is not the core of the product. The core is AI search and product advice.
What is Luigi’s Box
Luigi’s Box is a broader set of product discovery tools. It typically includes:
- search and autocomplete;
- typo tolerance and synonym handling;
- dynamic filters and facets;
- personalised recommendations;
- product listing and category ranking;
- merchandising rules;
- analytics of search and shopper behaviour;
- Shopping Assistant and the newer Conversational Agent.
So Luigi’s Box is not just a search box. It is a platform for managing how shoppers discover products across search, categories and recommendations.
Its Conversational Agent can help a shopper choose a product in a conversation. According to the public description, however, it focuses on product discovery, not on order status, returns or general customer support.
There are more than two kinds of search queries
The decision is not just between an exact product name and a very general wish. In practice there is a whole spectrum:
| Query type | Example | What the solution has to handle |
|---|---|---|
| Exact product | “Apple iPhone 15 Pro 256 GB” | Find the specific item or variant |
| Typo or incomplete name | “hary poter” | Correct the query and offer relevant results |
| Product with parameters | “Clear case for iPhone 15 under €20” | Understand compatibility, colour and price |
| Category with several constraints | “Leather shoes under €80, size 39” | Turn the sentence into parameters that usually sit in filters |
| Need and recommendation | “Lightweight running shoe for tarmac and a wider foot” | Understand the use and help with the choice |
Luigi’s Box is strong in classic search, autocomplete, filters and control over results. Yasan tries to cover the whole spectrum with a single search interface and to bring in AI only when the query needs it.
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, Luigi’s Box coped well with ordinary search, autocomplete and typos. We did not see Conversational Agent switched on there, so we do not rate its quality and describe it according to the vendor’s website.
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 Luigi’s Box has the edge
Mature classic search
If shoppers mostly search for a specific brand, model or category, Luigi’s Box offers sophisticated autocomplete, typo correction and relevance control.
Filters and facets
For catalogues with many technical parameters, good dynamic filters are essential. A shopper can start with a general query and narrow the selection step by step.
Recommendations, product listing and merchandising
Luigi’s Box covers more of the store than search alone. The store can work with recommended products, the order of products in categories and business rules.
Analytics
Luigi’s Box has a strong analytics layer: it shows what people search for, where they find no results and how search affects purchases. That matters for teams that want to keep optimising search.
Broader integration options
Luigi’s Box also suits larger and technically more complex stores that need a custom integration or a wider set of product tools.
Where Yasan has the edge
One sentence instead of browsing categories and filters
The query “red children’s wellies size 30 under €30” is more natural for a shopper than searching for wellies and then setting four filters one by one. Yasan tries to turn the whole sentence into a result in one go.
AI according to query complexity
Yasan does not have to use AI for every query. It handles an exact product name as ordinary search and brings in AI for a more complex request. This lets a single search box serve shoppers who know exactly what they want as well as those who are still choosing.
The same product knowledge in search and chat
A shopper can look for products in the search box or ask about them in the AI chat. The store does not have to maintain two separate sets of product knowledge.
Public pricing and an easier start
Yasan publishes three standard plans: €31.99, €82.99 and €206.90 per month excluding VAT. It offers a 14-day trial. Luigi’s Box prepares a custom price for each store and offers a free trial; for its Shoptet add-on it states a 14-day trial period. Details are on its pricing page.
When to choose Luigi’s Box
Luigi’s Box is probably the better choice if:
- you have a large catalogue and shoppers often search for exact names, brands or codes;
- you need high-quality autocomplete, filters and facets;
- you want to control product order, recommendations and merchandising;
- you have a team that will work with analytics and keep optimising search;
- you need a broader product discovery platform and a custom integration.
A concrete example: an electronics store has tens of thousands of items, well-structured parameters and a product team that wants to track zero-result queries, set up synonyms and control product order by margin or availability.
When to choose Yasan
Yasan is probably the better choice if:
- shoppers often combine several parameters in one sentence;
- categories and filters are not easy for an ordinary shopper to read;
- you want to serve both exact and complex queries in one search;
- shoppers need advice on what to choose based on intended use;
- you want to use the same product knowledge in an AI chat as well;
- you prefer public pricing and a standard integration for Shoptet, Shopify or WooCommerce.
A concrete example: a sports equipment store often gets queries such as “sleeping bag for a child for summer camp under €60” or “running shoes for tarmac, for a beginner with a wider foot”. The shopper knows what they need but does not know the product terminology or the right filter.
When you need neither
A paid search solution is not a benefit for every store. You probably need neither Yasan nor Luigi’s Box if:
- you have a small catalogue with a few dozen easily distinguishable products;
- categories are clear and a shopper finds everything in a few clicks;
- filters match exactly how people choose;
- only a small share of visitors use search;
- you do not have the capacity to evaluate whether a new solution really increases conversion.
For example, a store with twenty kinds of coffee sorted by roast and origin can serve shoppers well with a good category page and a few filters. In that case it is better to invest in descriptions, navigation and product data first.
Verdict: it is not just “exact product” versus “help me choose”
Luigi’s Box is a broader and more mature platform for classic product discovery. It is strong in autocomplete, filters, recommendations, merchandising and analytics. It makes sense for stores that want more control over search and product surfaces.
Yasan mainly solves the situation where a shopper does not want to, or cannot, translate their need into categories and filters. It covers exact search, compound parametric queries and advice-seeking questions, and it can use the same product knowledge in chat. Depending on the connected data, it can also help with order status.
So the best decision does not depend on catalogue size alone. Look at your customers’ real queries: do they search for names and codes, or do they pack size, colour, budget and intended use into one sentence? The answer usually shows which approach suits your store better.
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].
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