# Yasan vs. Chaterimo: AI search or AI chat for your online store?

> Chaterimo or Yasan? Both recommend products from your catalogue, but one starts in chat and the other in search. Features, pricing and when to choose which.

- URL: https://yasan.ai/en/blog/yasan-vs-chaterimo
- Language: English
- Published: 2026-11-05; updated: 2026-11-05
- Facts about other products verified as of: 2026-11-01 (from their public websites)
- Author: the Yasan team. Yasan is our own product, so this article is not an independent review.
- Products compared: Yasan (https://yasan.ai/en), Chaterimo (https://www.chaterimo.com/cs/)

*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:** Yasan and Chaterimo can both recommend products to a shopper, answer from the catalogue and, depending on the connected integration, help with order status as well. They differ in their starting point, though. Yasan is an AI shop assistant built around search: it handles an exact product, a query with several parameters and an open-ended need. It uses the same product knowledge in chat too. Chaterimo is first and foremost a standalone AI chatbot for online stores.

Yasan makes more sense if you want to improve product search across the whole catalogue and turn a natural sentence straight into results. Chaterimo is the better fit if you are mainly looking for an AI chat, want detailed control over the model and its instructions, or prefer a lower entry price.

## What is Yasan

Yasan is an AI shop assistant with smart search at its core. It picks the appropriate way of working depending on the query:

- “Apple iPhone 15 Pro 256 GB” is handled as ordinary search;
- “red running shoes size 42 under €120” is broken down into the product and the individual constraints;
- “lightweight shoes for tarmac and a wider foot” is understood as a need the shopper wants advice on.

The middle group of queries is the important one. A shopper often knows what type of product they want but adds a colour, size, budget, compatibility or a property hidden in filters. Yasan tries to turn the whole sentence into relevant results without the shopper having to go through several categories and filters.

Yasan uses the same catalogue knowledge in its AI chat. If the relevant integration is connected, it can also show order status once the customer has been verified. The plans include live chat, in which a person from the store’s team takes over the conversation right in the chat window.

## What is Chaterimo

Chaterimo is an AI chatbot for online stores. It loads the product catalogue and other sources, answers visitors’ questions and can recommend or compare products. In the chat it can show product cards, price and availability, and also answer operational questions about shipping, payment or returns.

Chaterimo uses search in a knowledge base to find relevant information for the model’s answer. However, this is an internal mechanism of the chatbot, not a replacement for the store’s main search box and results page.

The user can choose the AI model, use their own API keys and adjust the assistant’s system instructions, personality and rules. The full choice of models (GPT, Claude, Gemini, Grok) applies when you use your own API key; in the all-inclusive plans, where Chaterimo manages the keys, only faster and cheaper lower-tier models are available. This gives more control, but it also requires more decisions and ongoing management.

When the AI cannot help, Chaterimo, according to its [own comparison of 19 October 2026](https://www.chaterimo.com/cs/blog/nejlepsi-ai-chatbot-pro-shoptet/), creates a ticket with a summary of the conversation and sends the store an email. According to the same source, it does not offer a live chat in which a person would take over the conversation right in the chat window.

## What they have in common

Both products can:

- draw on the product catalogue;
- recommend and compare products;
- answer common shopping questions;
- work with price and availability, if they are in the data;
- hand a query over to a person (each in a different way, see below);
- provide order information, depending on the integration.

That is why they can look similar at first glance. The difference lies mainly in where and how the shopper starts.

## The main difference: search box vs. chat window

Imagine the query “black waterproof trekking boots under €120, size 43”.

Yasan is meant to process this request directly in search and return matching products. If the shopper wants, they can use the same catalogue knowledge in chat as well.

With Chaterimo, the shopper opens the chat and describes their request in a conversation. The bot can offer products, ask a follow-up question or compare them. The store’s main search box, however, remains a separate system.

Neither approach is better in general. Search is natural for a shopper who is already actively looking for a product. Chat suits a visitor who wants to have a dialogue, ask follow-up questions or deal with several types of questions in one place.

## Overview by situation

| Situation | Yasan | Chaterimo |
| --- | --- | --- |
| Shopper is looking for an exact model | Ordinary search | Chat can send the product or a link |
| Combines product, price, colour and size | Turns the sentence straight into results | Recommends products in a conversation |
| Describes a need without a product name | AI search or AI chat | AI chat and follow-up questions |
| Wants to compare several products | Product advice in chat | One of the chatbot’s natural functions |
| Asks about order status | In chat once the customer has been verified | With the order number and a matching email or phone number |
| Wants to talk to a person | Live chat: an operator takes over the conversation in the same window | Ticket with a summary and an email to the store; by its own description it does not offer live chat |
| Store wants to improve its main search | Core of the product | Not a replacement for the main search |
| Store wants to choose the model and edit system instructions | Less emphasis on technical model settings | More pronounced control over the model and rules |

## How the two tools handle order status

Yasan can verify the customer in chat and then show order information, provided the store has the feature switched on and supplies the necessary data.

According to its public materials, Chaterimo asks for the order number together with an email or phone number, which must match the details in the order. The feature is available in the paid plans and in the trial version. What is possible depends on the specific integration; Chaterimo lists connections to Shoptet, Shopify, Upgates and Eshop-rychle, for example, and connects other platforms through a product feed. The current list is on the [Chaterimo website](https://www.chaterimo.com/cs/).

## How the two tools hand a conversation over to a person

Yasan has live chat in its plans. A store operator can step into an ongoing conversation at any time, answer the shopper and then hand it back to the AI. The availability of live chat can be managed according to opening hours; when nobody is online, a shopper who wants to talk to a person leaves an email and a question in a contact form.

By its own description, Chaterimo does not offer live chat. If a shopper wants to talk to a person, or their question remains unresolved and they leave contact details, the AI creates a ticket with a summary of the conversation and sends the store an email. So the answer comes later, outside the chat window.

For a store that has people on chat during the day, this is a significant difference. If the team only answers by email, the ticket model may be enough.

In both cases the store should check before deployment what data the customer will see, how authentication works and whether the procedure meets its security rules.

## 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, Chaterimo recommended products, showed product cards with price and availability and compared offers; a shopper could start a conversation without registering. When testing on your own catalogue, include questions about orders and returns as well.

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 Chaterimo has the edge

### Lower entry price

Chaterimo’s lowest paid plan starts below the price of Yasan’s lowest standard plan. For a small store that mainly wants a chatbot, it can be easier to start on a smaller scale.

### Choice of model and your own API keys

A more technically experienced team can decide which model to use and how to pay for running it. This makes it possible to tune the assistant’s costs, quality and behaviour. However, Chaterimo offers the full choice of models only with your own API key.

### System prompt, personality and rules

Chaterimo gives a lot of room for setting the tone, instructions and limits of the answers. That is useful if the brand has a clear communication style or specific rules.

### More e-commerce platforms

Chaterimo lists integrations with several Czech and international platforms. For a store outside Yasan’s main ecosystems, an available integration can be the deciding criterion.

## Where Yasan has the edge

### AI directly in the main search

The shopper does not need to know that they should open a chat. They type a complex sentence into the same box where they would enter a product name.

### One body of knowledge for search and chat

Product data is used both for search results and for conversational advice. The customer journey is therefore not split between two independent systems.

### Queries between an exact product and an open-ended need

Yasan’s main benefit is not limited to general wishes. It also lies in queries such as “the same model in red”, “a case for this phone under €20” or “leather shoes size 39”. These are exactly the sentences that traditional search often cannot handle in full.

### Live chat in one window

When a person is needed, a store operator takes over the conversation right in the chat. The shopper does not have to wait for an email and the whole history stays in one place.

### Less model and API management

The store does not have to choose a model provider, set up its own API key or track separate model usage. For a team that does not want to run AI infrastructure, this is simpler.

### A complete journey from search to advice

Yasan covers exact search, compound queries and chat in one product. It suits situations where the problem is not only in answering questions but already in the search itself.

## Pricing

On its [website](https://yasan.ai/en), Yasan lists three standard plans: €31.99, €82.99 and €206.90 per month excluding VAT. It offers a 14-day trial period.

Chaterimo has two ways of paying. When you use your own API keys, it lists the plans Growth at 229 Kč, Evolve at 499 Kč, Advanced at 599 Kč and Masterful at 799 Kč per month including VAT. Messages are not limited by the plan, but the store pays for model usage separately to the model’s provider.

In the all-inclusive option, Growth costs 500 Kč for 1,000 messages, Evolve 1,000 Kč for 2,000 messages, Advanced 1,200 Kč for 4,000 messages and Masterful 1,600 Kč for 10,000 messages per month including VAT. There is a free plan with 100 messages per month and the Gemini Flash model, and a seven-day trial with all features. The current terms are on the [Chaterimo pricing page](https://www.chaterimo.com/cs/cenik/).

A direct price comparison has its limits: Yasan includes the main search as well as the AI assistant, whereas Chaterimo prices mainly the chat and, with your own API keys, moves the model costs outside its plan.

## When to choose Chaterimo

Chaterimo is probably the better choice if:

- the store’s main search works well and you only want to add an AI chat;
- you want to recommend and compare products in a conversation;
- you need detailed control over the instructions, personality or choice of model;
- you have a technical team willing to manage API keys and model costs;
- a lower starting price is decisive;
- you use an e-commerce platform for which Chaterimo has a ready-made integration.

An example: a small specialised store with a hundred well-organised products has no problem with search. But shoppers often ask about the differences between three similar models. A standalone chatbot may be sufficient.

## When to choose Yasan

Yasan is probably the better choice if:

- shoppers often type compound queries straight into search;
- filters exist, but people do not know which ones to use;
- you want a single solution to serve an exact model, a product with parameters and an open-ended need;
- you want to use the same product knowledge in both search and chat;
- you do not want to choose an AI model and manage its API yourself;
- the problem arises already when searching for a product, not only once the chat is opened.

An example: a fashion store gets queries like “beige below-the-knee coat, size 40, under €160”. The products are in the catalogue, but ordinary search ignores the length, the size or the price cap. Yasan solves the problem where it arises.

## When it makes sense to use both

In most stores, deploying two AI chats would lead to confusion more than anything else. The combination can make sense only when the roles are clearly separated — for example Yasan as the main search without a second visible bubble, and Chaterimo as a standalone chat with different sources or a specific workflow.

Before such a deployment, consider whether the benefit outweighs the double integration, the knowledge management and the risk of differing answers. For most small and medium-sized stores it will be more practical to choose one main product assistant.

## When you need neither

Neither tool has to make sense if:

- you have a small catalogue and the products are easy to tell apart;
- shoppers find everything through categories and a few clear filters;
- you get almost no questions about choosing products, shipping or orders;
- the catalogue data is incomplete or inconsistent;
- you have no way of evaluating the tool’s benefit.

A store with thirty clearly described products may gain more from fixing its navigation, filtering and descriptions than from deploying AI. Neither chat nor search can work reliably with information that is missing from the catalogue.

## Verdict

Yasan and Chaterimo are not just two chatbots with different price lists. Chaterimo is primarily a conversational assistant. Yasan is a product assistant built around search that uses the same knowledge in chat as well.

If shoppers find products without difficulty and mainly need advice, a comparison of variants or an answer in a conversation, Chaterimo can be the simpler and cheaper choice. If shoppers fail already at the search stage — especially with queries involving size, colour, price, compatibility or intended use — Yasan makes more sense.

The best test is simple: take ten real customer queries that lead to zero or poor results today. If you want search itself to answer them, test Yasan. If you want to handle them in a separate dialogue and your existing search suits you, test Chaterimo.

*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.*

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