---
title: "AI Search & Discovery: AI search add-on | Laioutr"
canonical_url: "https://www.laioutr.com/en/product/search-and-discovery"
locale: en
meta:
description: "AI Search & Discovery add-on by Laioutr: semantic AI search, auto-suggest and recommendations on the PDP and in the cart. Cookieless and GDPR-compliant."
"og:description": "AI Search & Discovery add-on by Laioutr: semantic AI search, auto-suggest and recommendations on the PDP and in the cart. Cookieless and GDPR-compliant."
"og:title": "AI Search & Discovery: AI search add-on | Laioutr"
---
AI SEARCH & DISCOVERY: ADD-ON TO THE FRONTEND PLATFORM
# AI Search & Discovery: product search that understands what is meant.
Semantic AI search and recommendations on the product page and in the cart, delivered as lists and centrally controllable. Cookieless and without a consent banner. An add-on built into the Agentic Frontend Management Platform, not a separate tool.
[Book a demo](https://www.laioutr.com/en/contact)
## Search belongs where buying happens.
With the AI Search & Discovery add-on, every query leads to the right product: typos, synonyms and complex queries such as “waterproof hiking boots for women” return relevant results instead of empty pages.
On the product page and in the cart, AI recommendations complement search: cross-sell, up-sell and similar products, delivered consistently as lists and centrally controllable, without IT tickets.
AI SEARCH & DISCOVERY
## AI Search & Discovery is the add-on for semantic AI search and AI-powered product recommendations, controlled directly in the Cockpit of the frontend platform.
Search understands meaning instead of just keywords, tolerant of typos, with synonyms and without empty results pages. On the product detail page and in the cart, AI recommendations (cross-sell, up-sell, similar products) complete the picture.
Search & Discovery does not live in a separate tool; it plugs into the Agentic Frontend Management Platform as an add-on. Studio (visual control), Storefront (delivery), Orchestr (backend connection) and Cloud (infrastructure) work together without glue code. Everything is delivered as lists and centrally controllable by the marketing team, without IT tickets.
[More about the platform](https://www.laioutr.com/en/agentic-frontend-management-platform)
Search understands meaning
Search understands the meaning of a query, not just individual keywords. Typos, synonyms and complex phrasings still lead to the right result.
Recommendations on the PDP & in the cart
Cross-sell, up-sell and similar products appear exactly where they have impact, on the product detail page and in the cart. Delivered consistently as lists.
Controllable without IT
Boost & Bury, product pinning, promotions and sorting logic are controlled by the marketing team itself in the Cockpit, without tickets to IT.
Understanding
## Error tolerance and synonyms are not an extra in AI Search & Discovery.
Both are standard.
Typos, incomplete input and colloquial language are part of everyday product search. AI Search & Discovery recognizes the intended meaning instead of demanding exact keyword matches, including synonyms and regional terms.
In practice, a query like “waterproof hiking boots for women” returns relevant results even when no single product is described exactly that way. No empty results pages, no frustrated customers.
[View all add-ons](https://www.laioutr.com/en/add-ons)
### The real difference from classic shop search
Complex queries are understood, not just searched by word match.
In a classic shop setup, search is pure text matching: one word is missing, one letter is wrong, and the result stays empty. AI Search & Discovery works semantically and understands what is meant, even with multi-part queries that combine attribute, category and target group in one sentence.
Auto-Suggest shows matching suggestions during typing, so an error message never appears. The marketing team controls boosting, sorting logic and the business dictionary directly in the Cockpit, without engineering.
[More about Studio](https://www.laioutr.com/en/composable-visual-page-builder)
Three pillars
## Three pillars instead of a single search bar.
Search, recommendation and control work in concert.
AI Search & Discovery consists of three building blocks that together create a seamless experience: semantic search, AI recommendations and merchandising control without IT. All three work in concert and belong to the same add-on.
### Semantic search
Understands meaning instead of just keywords. Typos, synonyms and complex queries lead to relevant results, with Auto-Suggest during typing.
### AI recommendations
AIRecos on the product detail page and in the cart: cross-sell, up-sell and similar products, delivered consistently as lists.
### Merchandising without IT
Boost & Bury, pinning, promotions and sorting logic are controlled by the marketing team directly in the Cockpit, with no tickets to IT.
Where it's used
## Three places to use it. One Cockpit.
Not every query should be answered the same way. Three points of impact, one seamless experience, all in the same platform. Wherever it runs, everything uses the same rendering layer, with the same performance.
### Search & result lists
Semantic search processes every query and delivers relevant result lists, even for complex phrasing and large catalogs.
**Examples**: header search, search results page, category lists with dynamic filters
### Recommendations on the PDP
AIRecos on the product detail page show similar products and up-sell options right at the moment of the purchase decision.
**Examples**: "Similar products", "Customers also bought", variant recommendations
### Recommendations in the cart
Cross-sell recommendations in the cart increase order value without interrupting the checkout flow.
**Examples**: matching accessories, frequently bought together, a last addition before checkout
AI-POWERED SEARCH
## AI-powered search & recommendations
Search is the most-used but least-optimized touchpoint in commerce. Thousands of queries a day, typos, changing phrasing, seasonal demand peaks.
**Until now:** rigid keyword search with empty results pages. **With Laioutr:** semantic understanding and recommendations in the background.
### Semantic search
Understands meaning instead of just keywords, with tolerance for typos, synonyms and complex phrasing.
### Auto-Suggest
Relevant suggestions during typing, so customers reach the right product faster.
### Fault tolerance & synonyms
Typos and alternative terms still lead to the right result, instead of an empty page.
### Merchandising & Boosting
Boost & Bury, pin, hide or add products, directly in the Cockpit, with no IT tickets.
### AIRecos on the PDP
Similar products and up-sell options on the product detail page, delivered consistently as a list.
### AIRecos in the cart
Cross-sell suggestions in the cart to increase order value without interrupting checkout.
The comparison
### What changes economically.
Three typical challenges that cost revenue today and become routine with the AI Search & Discovery add-on. Missed sales become found products. Sprint tickets become Cockpit clicks.
Pricing Plans Comparison
| Compare differences | Standard-Shop-Suche | Add-on AI Search & Discovery |
| --- | --- | --- |
| Standard-Shop-Suche Add-on AI Search & Discovery |
| Was sich wirtschaftlich verändert Drei typische Herausforderungen, die heute Umsatz kosten und mit dem Add-on AI Search & Discovery zur Selbstverständlichkeit werden. |
| 50.000+ Produkte, Sub-Sekunden-Antwortzeit Große Kataloge und Multi-Markt-Setups: die typische Skalierungs-Herausforderung im Commerce. | Reine Keyword-Suche wird bei wachsendem Katalog langsamer, Tippfehler und Synonyme führen zu leeren Ergebnisseiten, verlorene Kaufabschlüsse bei jeder Fehlformulierung. | Sub-Sekunden-Antworten auch bei großen Katalogen, die entkoppelte Architektur belastet das Shop-System nicht. Relevante Ergebnisse statt leerer Seiten. |
| Merchandising-Änderungen pro Kampagne Boosting, Pinning und Sortierlogik als Marketing-Aufgabe statt Engineering-Sprint. | Jede Anpassung an Ranking oder Sortierung braucht ein Engineering-Ticket, Wartezeit von Tagen bis Wochen, Kampagnen-Fenster werden verpasst. | Boost & Bury, Produkte pinnen oder verstecken, Promotions und Sortierlogiken direkt im Cockpit, ohne Tickets an die IT. |
| Empfehlungen auf PDP und im Warenkorb Cross-Sell und Up-Sell als kontinuierlicher Umsatzhebel statt einmaliges Feature. | Statische „ähnliche Produkte“-Listen ohne Lerneffekt, manuelle Pflege pro Produkt, kein Cross-Sell im Warenkorb. | KI-Empfehlungen (AIRecos) auf Produktdetailseite und im Warenkorb, konsistent als Listen ausgespielt, zentral steuerbar und kontinuierlich lernend. |
AGENTIC SEARCH & DISCOVERY
### Vision: search that improves itself.
Static search indexes are a model from the 2010s. Set them up once, let them run, forget about them until someone notices that half the queries return nothing.
That no longer works in a world where assortment, customer language and search behavior change faster than any merchandising review. The answer is not “maintain even more manual rules” but a search that learns along the way.
AI Search & Discovery is built for exactly that. Relevance is not set up once and then administered; it is continuously matched against real click behavior, conversion data and assortment changes, and optimized. The team sets the rules, the system delivers the fine-tuning.
**The team sets the direction. The system keeps improving.**
Privacy & control
### Relevance without tracking.
Relevant search results without a cookie banner are not a contradiction. AI Search & Discovery works cookieless and without individual user tracking, GDPR-compliant out of the box. Full control over relevance still stays with the team.
Controllable in the Cockpit
- No individual user tracking, no consent banner needed for search
- Boost & Bury, pinning and sorting logic per category and campaign
- Business dictionary and query redirects for the shop's own language
- Overview of which merchandising rules are active and which are not
- Team approval: what takes effect directly, what needs a review
Search & Discovery delivers
- GDPR-compliant search without a consent banner for customers
- Sub-second results even with large catalogs and demand spikes
- Relevant result lists instead of empty pages, for every phrasing
- AIRecos on the PDP and in the cart, consistently delivered as lists
- Revenue Analytics and Search Insights that show where revenue is being left behind
MORE FEATURES
## Every detail of search under control.
Whether dynamic filters, redirects or analytics: full control over every detail of search stays with the team.
### Dynamic filters
Filters adapt automatically to search results and assortment, instead of being rigidly maintained for each category.
### Query Redirects
Certain search terms redirect straight to a category or landing page, ideal for campaign keywords.
### Similar-Search-API
Retrieve similar products via API and embed them anywhere in the frontend, consistently delivered as lists.
### Revenue Analytics
Shows which revenue is generated through search and recommendations, and where there is room for optimisation. (Feature scope is currently growing.)
### Search Insights
Shows top search terms, zero-result queries and trends, so assortment and merchandising can be fine-tuned in a targeted way.
INTEGRATION
## Fits into any frontend.
Three ways the add-on fits into existing tooling.
AI Search & Discovery is not isolated but part of a decoupled stack. Integration via API or SDK, with any backend and any catalog, whether headless or classic.
[More on the composable DXP](https://www.laioutr.com/en/composable-digital-experience-platform)
### API & SDK
Search and recommendations are embedded via API or SDK, regardless of whether the frontend is built headless or classic.
### Any backend, any catalog
Product data comes from the existing backend, no matter which system. It is referenced like native content, without custom mapping.
### Embeddable as lists
Search results, recommendations and category lists are delivered everywhere as consistent lists, centrally controllable, without an engineering sprint per placement.
INTEGRATION
## For every catalog & every shop system.
AI Search & Discovery works with any product catalog and any backend, whether Shopify, a classic shop system or a headless architecture. Integration runs via API or SDK, and the existing setup stays unchanged.
[More on integration](https://www.laioutr.com/en/composable-headless-frontend)
### Catalogs with 50,000+ products
Large assortments are not a performance risk. AI Search & Discovery delivers sub-second responses regardless of catalog size. The architecture scales without burdening the shop system.
### Shopify, OXID or a custom backend
Whatever backend sits behind the shop: AI Search & Discovery connects the product data via API or SDK, without replacing the existing system.
### Data protection comes first
AI Search & Discovery works cookieless and without individual user tracking. GDPR-compliant out of the box, with no additional consent banner needed for search.
### Marketing in control
Boost & Bury, promotions, and sorting logic run directly in the Cockpit. Campaign windows no longer slip away while an engineering ticket waits to be processed.
FAQ
## Frequently asked questions about AI Search & Discovery
What exactly is semantic search?
Semantic search understands the meaning of a query, not just individual keywords. Typos like “waterproff”, synonyms like “trainers”/“sneakers”, and complex queries like “waterproof hiking boots for women” still lead to relevant results instead of an empty page.
Is AI Search & Discovery cookieless and GDPR-compliant?
Yes. Search works without user tracking and without cookies, so no consent banner is needed for it. Relevance comes from the product catalog and the query context, not from personal profiles.
Does this also work with large catalogs and under load?
Yes. AI Search & Discovery delivers sub-second responses even with 50,000+ products. The architecture is decoupled from the shop system, so queries place no additional load on the backend, even during seasonal demand peaks.
Where exactly do the AI recommendations (AIRecos) appear?
On the product detail page (similar products, up-sell) and in the cart (cross-sell, frequently bought together). Both recommendation lists run on the same logic as the search results, delivered consistently and controlled centrally.
Can the marketing team steer search themselves, without IT?
Yes. Boost & Bury, pinning, hiding, or adding products, promotions, dynamic filters, custom sorting logic, and query redirects can all be configured directly in the Cockpit, without a ticket to IT.
How does integration into the backend or frontend work?
Via API or SDK, regardless of whether the setup is headless or classic. AI Search & Discovery works with any product catalog and can be embedded directly into the frontend as sections and lists.
What exactly is Auto-Suggest?
Matching suggestions appear as customers type, products, categories, and search terms, so they reach the right result faster instead of having to type out the whole query first.
What does the connection to commerce backends (Shopify, OXID, etc.) look like?
Product data, prices and stock are connected via API or SDK. The existing catalog is referenced, no matter which backend sits behind it, without a custom mapping project per data source.
What counts as additional merchandising features?
A Business Dictionary for synonyms and technical terms, grid teasers and SEO banners in the result lists, and a Similar Search API for "similar products" use cases outside standard search.
What does "everything as lists" mean?
Search results, recommendations, and category pages all run on the same list logic in the Cockpit. One configuration, one control point, a consistent result, no matter where the list appears in the frontend.
What analytics are available for search?
Revenue Analytics shows which searches and recommendations actually drive revenue. Search Insights shows what people search for, which queries come up empty, and where merchandising pays off.
Does AI Search & Discovery run alongside an existing shop system?
Yes. The architecture is decoupled and complements the existing backend, whether headless or classic, without replacing it or adding extra load.
What is the difference between Boost & Bury and query redirects?
Boost & Bury raises or lowers individual products in the results. Query redirects send an entire query to a specific list or page, for example a campaign landing page instead of the standard search results.
Is AI Search & Discovery included in the platform scope?
AI Search & Discovery is an add-on to the Agentic Frontend Management Platform. It is booked separately and fits into Studio and the Cockpit without a separate tool. An overview of all add-ons and packages is available on the Add-ons and Commerce pricing pages.
## More on AI Search & Discovery and Laioutr
Add-ons, pricing and related features.
### Composable Storefront
A storefront built from interchangeable building blocks instead of one custom frontend: what that means and how Laioutr delivers it.
[Understand composable storefronts](https://www.laioutr.com/en/composable-storefront)
### All add-ons
AI Search & Discovery, AI Personalisation, AI A/B Testing and further add-ons at a glance.
[View add-ons](https://www.laioutr.com/en/add-ons)
### Personalization
Display Conditions in Studio and the AI Personalisation add-on for content and recommendations per segment.
[Explore personalization](https://www.laioutr.com/en/product/personalization)
### Commerce pricing
Platform packages and add-ons for commerce teams at a glance.
[View pricing](https://www.laioutr.com/en/pricing/commerce)
Strategy call
## The frontend as a control layer
A conversation about stack, roadmap and replatforming scenario. The outcome: a clear picture of how Laioutr fits, what it costs and how fast the go-live can happen.
*"After 30 minutes, we knew Laioutr makes our replatforming feasible."*
*Daniel B., CEO,* [*hygibox.de*](https://hygibox.de)
[Book a demo](https://www.laioutr.com/en/contact)
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},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/2",
"@type": "Question",
"inLanguage": "en",
"name": "Is AI Search & Discovery cookieless and GDPR-compliant?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes. Search works without user tracking and without cookies, so no consent banner is needed for it. Relevance comes from the product catalog and the query context, not from personal profiles.
"
}
},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/3",
"@type": "Question",
"inLanguage": "en",
"name": "Does this also work with large catalogs and under load?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes. AI Search & Discovery delivers sub-second responses even with 50,000+ products. The architecture is decoupled from the shop system, so queries place no additional load on the backend, even during seasonal demand peaks.
"
}
},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/4",
"@type": "Question",
"inLanguage": "en",
"name": "Where exactly do the AI recommendations (AIRecos) appear?",
"acceptedAnswer": {
"@type": "Answer",
"text": "On the product detail page (similar products, up-sell) and in the cart (cross-sell, frequently bought together). Both recommendation lists run on the same logic as the search results, delivered consistently and controlled centrally.
"
}
},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/5",
"@type": "Question",
"inLanguage": "en",
"name": "Can the marketing team steer search themselves, without IT?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes. Boost & Bury, pinning, hiding, or adding products, promotions, dynamic filters, custom sorting logic, and query redirects can all be configured directly in the Cockpit, without a ticket to IT.
"
}
},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/6",
"@type": "Question",
"inLanguage": "en",
"name": "How does integration into the backend or frontend work?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Via API or SDK, regardless of whether the setup is headless or classic. AI Search & Discovery works with any product catalog and can be embedded directly into the frontend as sections and lists.
"
}
},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/7",
"@type": "Question",
"inLanguage": "en",
"name": "What exactly is Auto-Suggest?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Matching suggestions appear as customers type, products, categories, and search terms, so they reach the right result faster instead of having to type out the whole query first.
"
}
},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/8",
"@type": "Question",
"inLanguage": "en",
"name": "What does the connection to commerce backends (Shopify, OXID, etc.) look like?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Product data, prices and stock are connected via API or SDK. The existing catalog is referenced, no matter which backend sits behind it, without a custom mapping project per data source.
"
}
},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/9",
"@type": "Question",
"inLanguage": "en",
"name": "What counts as additional merchandising features?",
"acceptedAnswer": {
"@type": "Answer",
"text": "A Business Dictionary for synonyms and technical terms, grid teasers and SEO banners in the result lists, and a Similar Search API for \"similar products\" use cases outside standard search.
"
}
},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/10",
"@type": "Question",
"inLanguage": "en",
"name": "What does \"everything as lists\" mean?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Search results, recommendations, and category pages all run on the same list logic in the Cockpit. One configuration, one control point, a consistent result, no matter where the list appears in the frontend.
"
}
},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/11",
"@type": "Question",
"inLanguage": "en",
"name": "What analytics are available for search?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Revenue Analytics shows which searches and recommendations actually drive revenue. Search Insights shows what people search for, which queries come up empty, and where merchandising pays off.
"
}
},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/12",
"@type": "Question",
"inLanguage": "en",
"name": "Does AI Search & Discovery run alongside an existing shop system?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes. The architecture is decoupled and complements the existing backend, whether headless or classic, without replacing it or adding extra load.
"
}
},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/13",
"@type": "Question",
"inLanguage": "en",
"name": "What is the difference between Boost & Bury and query redirects?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Boost & Bury raises or lowers individual products in the results. Query redirects send an entire query to a specific list or page, for example a campaign landing page instead of the standard search results.
"
}
},
{
"@id": "https://www.laioutr.com/en/product/search-and-discovery#/schema/question/14",
"@type": "Question",
"inLanguage": "en",
"name": "Is AI Search & Discovery included in the platform scope?",
"acceptedAnswer": {
"@type": "Answer",
"text": "AI Search & Discovery is an add-on to the Agentic Frontend Management Platform. It is booked separately and fits into Studio and the Cockpit without a separate tool. An overview of all add-ons and packages is available on the Add-ons and Commerce pricing pages.
"
}
}
]
}
```