What it is
Conversational product discovery, built into your store
AI product search lets shoppers ask for what they want in their own words – or with a photo – instead of guessing the right keyword. AskSpot reads your product feed, searches the whole catalog in real time, compares the options and recommends the right product inside the chat – the way your best salesperson would, in 200+ languages.
Step 01
Understands the need
Reads the question – budget, use case, size, compatibility – not just matching words.
Step 02
Searches the feed
Scans your entire catalog in real time and compares matching products and variants.
Step 03
Recommends the right one
Surfaces the best fit as a product card the shopper can compare and add to the cart.
01 · Natural language
Search by meaning, not keywords
Shoppers ask the way they’d ask a person – “a quiet washing machine for a small kitchen”, “which switch is PoE+ compatible?” – and the agent matches products to the need, compares variants and answers technical questions.
- Understands intent, budget and use case – not just matching text
- Compares variants and explains the difference between similar products
- Suggests accessories that go with the product a shopper is viewing
spot spot02 · Search by photo
Snap a photo, find the product
A shopper attaches a photo in the chat and the agent finds matching or look-alike products in your catalog – for the many searches that are impossible to put into words. The assistant even offers it.
- Turns “I want something like this” into real results from your feed
- Recovers searches that keyword search would return empty
- Available to every shopper, on every page
03 · Rich product cards
Browse, compare and buy inside the chat
Results come back as a swipeable carousel of product cards – image, star rating, price and key specs – so the shopper never has to leave the conversation to decide.
- Rating, review count, price and key specs on every card
- Show similar and add to cart without leaving the chat
- A category link to keep browsing on the site when they want to
spot spot04 · Your selling rules
Advises the way you want it to
Add short rules for how the assistant should advise and which products to prioritise – so search doesn’t just answer, it sells the way your team would.
- Sales-conversation guidance in plain language
- Product-recommendation rules to prioritise margin, stock or own brands
- Connects to your feed – Google Merchant, Ceneo, IdoSell or a custom source
Why it matters
Turns “help me choose” into a completed sale
Most storefront search punishes the shopper for not knowing the right word. Conversational search meets them where they are – so the customer who would have bounced finds the product and buys. In our stores, up to 21% of chats end in a purchase.
See AI product search on your catalog
Book a demo and we’ll run it against your own product feed.
Available in
The AI Chat Agent
AI product search is part of AskSpot’s AI Chat Agent – the on-site assistant that answers, searches and sells across your store, on every e-commerce platform, in 200+ languages.
A quiet washing machine for a small kitchen, under €500
Three slim, low-noise models fit. The Bosch Serie 4 (48 dB) – €469 is the quietest.
Want me to compare spin speeds, or add it to your cart?
Proof
Search that sells, in real stores
How Morele.net cut customer service costs by 90%
Morele.net cut support costs 90%, from 50 agents to 5. AskSpot resolves 65% of its 37,600 monthly chats with no human and answers Allegro questions too.
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How Militaria resolves 72% of chats in 9 languages
Militaria.pl runs AskSpot across three domains in nine languages: 27% add-to-cart after a chat, 72% resolved with no human, 16,600 conversations a month.
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How 4FIZJO resolves 61% of customer chats with AI
AskSpot's AI Chat resolves 61% of 4FIZJO's 21,360 monthly chats with no human across 6 markets; its Inbox Agent auto-resolves 25% of email tickets.
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How chat advice puts €1.9M of garden furniture in baskets a month
Meblobranie's AskSpot agent answers the questions garden furniture is bought on – size, colour, anchoring, spare nets. Chat advice puts €1.9M into the cart a month, 20% of chats fill a basket, 70% resolved.
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How one AI agent runs across Szopex’s three retail brands
One AskSpot agent runs across Szopex's three storefronts – Sklep Biegacza, Warsaw Sneaker Store and SKStore – on three e-commerce platforms. 67% of chats resolved, 58% product CTR, 11.7% end in a purchase.
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How moderno.dk resolves 64% of furniture chats with no human
moderno.dk's AskSpot agent resolves 64% of furniture questions with no human – delivery, sizing, stock and order changes – and turns 12.3% of chats into carts.
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See every story
Every merchant we have measured – what shoppers asked, what the agent did, and the numbers it moved.
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Testimonials
What our customers say
“The rollout took less time than we expected and did not require rebuilding our processes. The AskSpot team fit the solution to the way we work, not the other way around. We saw that flexibility at every stage, including when we raised feedback.
Before going live we tested the assistant on our own hardest questions and decided which cases it starts with. We are widening its scope step by step and still see room to grow. Repetitive questions no longer take up our advisors’ time, so they can spend it on the conversations that call for judgement and a human touch. Customers get accurate answers in the evenings and at weekends too, while our team’s working hours have stayed the same.”
“AskSpot has changed the way we look at customer support. Your technology lets us reshape Customer Support roles into agent trainers and communication specialists – people who safeguard correct, on-brand communication while continuously improving the agent’s effectiveness through monitoring and knowledge-base optimisation. Today we see CS as a forward-looking role.”
“AskSpot has become important support for Ogrodosfera in day-to-day customer service – it answers repetitive questions about products, delivery, payments and orders quickly, even outside our consultants’ working hours, and helps customers search a broad catalogue: from parameters and dimensions to assembly, use and choosing accessories. It takes routine contacts off the team, giving shorter response times, more consistent communication and a better customer experience in peak season. We treat AskSpot not just as a support-automation tool, but as part of developing customer experience and sales.”
“AskSpot enables us to provide superior support for Ariston customers at every stage – from pre-purchase advice to post-sale and service assistance. Equally important, Ariston benefits from the valuable insights AskSpot delivers about customer preferences, which help us continuously improve the customer experience.”
“We have been impressed by how AskSpot delivers a seamless experience for our customers while remaining incredibly intuitive for our own team to manage.
Beyond the ease of use, the detailed analytics and reports are of enormous value – they help us make better decisions around customer satisfaction. Behind AskSpot stands a team that puts innovation first and keeps developing the product to match changing business needs.”
“AskSpot is a revolutionary solution for us. We provide our customers with the key information they need instantly while simultaneously reducing the workload of customer service.”
See every testimonial
Read what the e-commerce teams who put AskSpot live say about working with it.
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FAQ
AI product search – questions answered
What is AI product search?
AI product search lets shoppers describe what they need in natural language – or attach a photo – and returns the right products from your catalog. Instead of matching keywords, it understands the intent behind the question, compares options and recommends a fit, all inside the chat.
How is it different from my store’s search bar?
A keyword search bar returns empty when the shopper doesn’t use your exact wording. AI product search reads meaning – budget, use case, size, compatibility – asks a follow-up when it needs to, and recommends rather than just listing. It’s the difference between a search box and a salesperson.
Can customers search with a photo?
Yes. A shopper attaches a photo in the chat and the agent finds matching or look-alike products in your catalog – ideal for anything that’s hard to put into words. It’s available to every shopper, and the assistant offers it proactively.
How does it connect to my product catalog?
Through your product feed. AskSpot supports Google Merchant Center (XML), Ceneo (XML) and IdoSell / IAI out of the box, plus a custom integration for any other source, so search always reflects your current range.
Can I control which products it recommends?
Yes. You add sales-conversation guidance and product-recommendation rules in plain language – to prioritise higher-margin lines, in-stock items or your own brands – so search advises the way your team would.
Which products does AI product search work with?
It’s part of the AI Chat Agent and works on every e-commerce platform the Chat Agent supports – Shopify, WooCommerce, Magento, PrestaShop, IdoSell, Shoper, AtomStore, RedCart and more – in 200+ languages, with no per-platform setup.