With AI Agent Mode, your shoppers get personal buying guidance right in the storefront: they describe in their own words what they are looking for, and the agent walks them to the right product in conversation. Vague requests like "a gift for my dad who loves hiking" are understood and turned into concrete recommendations.
The agent is built on Google's search expertise and Gemini and automatically recognizes when a traditional product search is enough and when a real conversation adds more. The result is product discovery that feels like a great salesperson, around the clock and on every device.
AI AGENT MODE - INSIDE YOUR STOREFRONT
The shopping agent that guides.
The Conversational Commerce agent understands what shoppers mean, guides them to the right product in natural conversation, and switches automatically between traditional product search and conversational guidance. Part of the Agentic Frontend Management Platform, available as an add-on on every plan.
Guidance belongs where buying happens.
AI AGENT MODE
AI Agent Mode is conversational buying guidance right inside the storefront, built on Google's search expertise and Gemini.
Instead of leaving shoppers alone with an empty search bar, the agent guides them in conversation: it asks follow-up questions, understands intent and preferences, and recommends the right products from your catalog. For clear queries it returns results directly, for unclear ones it advises.
Like the rest of the platform, the agent does not live in a separate tool but as a layer inside the Agentic Frontend Management Platform. Studio controls it, the storefront serves it, Orchestr connects the product data. One configuration, one place to steer, one experience.
Understands what is meant
The agent detects intent and preferences from natural language, even for vague or complex queries, and turns them into the right products.
Advises in conversation
Instead of a result list, the agent holds a conversation: it asks, narrows down and recommends specifically, just like good in-store advice.
Switches automatically
Intent classification decides in real time between traditional product search and conversational guidance, optimized for user behavior, catalog and your KPIs.
Understanding
Understanding natural language is no add-on in AI Agent Mode.
The agent reads meaning, not just keywords.
Typos, slang, incomplete inputs and long descriptions are part of everyday product search. The agent recognizes the intended meaning instead of exact keyword matches and suggests the right products instead of showing an empty page.
Here is the real difference from classic shop search:
the agent holds a conversation instead of just matching words.
A classic search matches words: if a term is missing, the result stays empty. AI Agent Mode asks follow-up questions, understands context and narrows down together with shoppers until the right product is found. That way even complex or unclear queries turn into a purchase.
Three building blocks
Three building blocks instead of one search bar.
Understanding, advising and steering interlock.
AI Agent Mode consists of three building blocks that together create a seamless experience: intent understanding, conversational guidance, and control over relevance and results. All three interlock, all three run in the same platform.
Intent understanding
Understands meaning, preferences and context from natural language, built on Google's search expertise and Gemini, with suggestions while typing.
Guidance in conversation
Guides shoppers to the right product in conversation: asks, narrows down and recommends specifically instead of just returning a list.
Control without IT
Your team controls guardrails, boosting, promotions and sort logic directly in the cockpit, without IT tickets.
Touchpoints
Three touchpoints. One cockpit.
Not every situation needs the same thing. The agent accompanies the whole shopping journey, at every touchpoint in the same rendering layer, with the same performance.
Entry and search
In the header search and on the search results page, the agent understands even complex queries and returns relevant results or starts guidance right away. Examples: search bar, results page, category entry.
Guidance on the product page
On the product detail page the agent answers questions, shows alternatives and up-sell at the moment of decision. Examples: "Does this fit…?", similar products, variant recommendation.
Closing in the cart
In the cart the agent suggests matching accessories and cross-sell and raises the order value without interrupting checkout. Examples: frequently bought together, last add-on before checkout.
CONVERSATIONAL GUIDANCE
AI guidance that sells along in the background.
Search and product guidance are the most used but least optimized moment in commerce: thousands of queries a day, shifting phrasing, undecided shoppers. Until now this often ended in empty results pages and abandoned purchases. AI Agent Mode steps in exactly here and turns every query into a conversation that leads to a product.
Intent understanding
Understands meaning and preferences instead of just keywords, tolerant of typos, synonyms and complex phrasing.
Dialogue and follow-ups
Holds a real conversation, asks and narrows down until the right product is found.
Natural product discovery
Turns vague wishes like "something warm for winter" into concrete recommendations from your catalog.
Guardrails and control
Boost & bury, pin products, promotions and sort logic directly in the cockpit, without IT tickets. The agent stays within your brand.
Guidance on the PDP
Answers product questions, shows alternatives and up-sell right on the product detail page.
Cross-sell in the cart
Suggests matching accessories in the cart and raises the order value without disrupting checkout.
The comparison
What changes commercially.
Three typical situations that cost revenue today, and that AI Agent Mode resolves. The magnitudes come from real commerce setups, not marketing figures. Missed purchases become guided purchases.
Compare differences | Klassische Shop-Suche | AI Agent Mode |
|---|---|---|
Was sich wirtschaftlich verändert Drei typische Situationen, die heute Umsatz kosten, und die der AI Agent Mode auflöst. Die Größenordnungen stammen aus echten Commerce-Setups, keine Marketing-Werte. | ||
Unklare oder komplexe Anfragen Vage Wünsche, lange Beschreibungen, Umgangssprache, der Alltag jeder Produktsuche. | Reiner Keyword-Abgleich: Fehlt ein Wort, bleibt das Ergebnis leer, der Kauf bricht ab. | Der Agent versteht Intent und Präferenzen, fragt nach und führt zum passenden Produkt. Relevante Empfehlung statt leerer Seite. |
Beratung entlang der Journey Persönliche Kaufberatung als kontinuierlicher Umsatzhebel statt einmaliges Feature. | Statische Filter und Trefferlisten ohne Beratung, Kund:innen bleiben mit der Entscheidung allein. | Dialogbasierte Beratung auf Suchseite, Produktseite und im Warenkorb, gebaut auf Googles Such-Expertise und Gemini, optimiert auf deine KPIs. |
Steuerung ohne Engineering Guardrails, Boosting und Sortierung als Marketing-Aufgabe statt Engineering-Sprint. | Jede Anpassung braucht ein Engineering-Ticket, Kampagnen-Fenster werden verpasst. | Boost & Bury, Pinning, Promotions und Guardrails direkt im Cockpit, ohne Tickets an die IT. |
AGENTIC COMMERCE
Vision: guidance that improves itself.
Static search indexes are a model from the 2010s: set up once, let it run, forget it, until half the queries lead nowhere.
That no longer works in a world where assortment, customer language and buying behavior change faster than any merchandising review. The answer is not "even more manual rules" but an agent that continuously evaluates user behavior and catalog and aligns its guidance accordingly. Agentic Commerce means your storefront sells along.
Control & brand
Guidance within your brand.
An agent that talks freely with your shoppers needs clear guardrails. AI Agent Mode stays within your brand, your assortment and your rules: you set the direction, the agent delivers the conversation.
You control
Guardrails for tone and allowed recommendations. Boost & bury, pinning and sort logic per category and campaign. Business dictionary and redirects for your shop language. Which KPIs the agent optimizes for.
The agent delivers
Personal guidance in conversation on every device. Fitting recommendations from your catalog, even for vague queries. Automatic switching between search and guidance. Suggestions optimized for user behavior, catalog and KPIs.
MORE FEATURES
Guidance on autopilot, control with you.
Whether guardrails, redirects or analytics: you keep full control over every detail of the guidance.
Dynamic suggestions
Recommendations adapt to query, context and assortment instead of being maintained rigidly per category.
Query redirects
Certain queries route directly to a category, campaign or landing page, ideal for seasonal actions.
Agent API
Access guidance and recommendations via API and embed them anywhere in the frontend.
Revenue analytics
Shows which revenue the agent generates and where optimization potential lies. (Feature scope is currently growing.)
Conversation insights
Shows top queries, drop-off points and trends so you can sharpen assortment, guardrails and guidance.
API & SDK
You integrate the agent via API or SDK, regardless of whether your frontend is headless or classic.
Any backend, any catalog
Product data, prices and stock come from your existing backend, whatever the system, without custom mapping.
Embeddable anywhere
You deliver guidance, recommendations and results anywhere in the storefront, centrally controllable, without an engineering sprint per placement.
Your catalog has 50,000+ products
Large assortments are no risk: even in huge catalogs the agent finds the right product and guides shoppers there instead of leaving them alone with filters.
You use Shopify, OXID or a custom backend
Whatever backend runs behind your shop: AI Agent Mode connects your product data via API or SDK without you having to replace your existing system.
Your shoppers need guidance
Complex or large assortments benefit most: the agent takes over guidance in conversation, around the clock and on every device.
Your team wants to steer itself
Guardrails, promotions and sort logic run directly in the cockpit. Campaign windows no longer pass while an engineering ticket waits to be picked up.
FAQ
Frequently asked.
AI Agent Mode is a Conversational Commerce agent right inside your storefront. It advises shoppers in natural conversation, understands their intent and guides them to the right product, built on Google's search expertise and Gemini.
A classic search matches keywords. The agent understands meaning, asks questions and advises in conversation. Through intent classification it switches automatically between traditional product search and conversational guidance.
On Google's search expertise and Gemini. This lets the agent understand complex, natural queries and deliver relevant, personalized recommendations from your catalog.
Along the whole shopping journey: in search, on the product detail page and in the cart. This way it accompanies shoppers from first interest to checkout.
Yes. You configure guardrails, boost & bury, pinning, promotions and sort logic directly in the cockpit, without IT tickets.
Via API/SDK, regardless of whether your setup is headless or classic. The agent accesses your product catalog via Orchestr and can be delivered anywhere in the storefront.
Yes. Descriptions like "a gift for my dad who hikes" are turned by the agent into concrete product recommendations instead of showing an empty results page.
Yes. Product data, prices and stock are connected via API/SDK. The agent uses your existing catalog, whatever backend is behind it, without a custom mapping project.
For your KPIs: conversion, revenue, cart value. The agent continuously evaluates user behavior and catalog and aligns its guidance accordingly.
Then the agent returns results directly like a fast product search. Only for unclear or complex queries does it switch into conversational guidance.
Revenue analytics shows which revenue the agent generates. Conversation insights shows top queries, drop-off points and trends so you can refine assortment and guidance. (Feature scope is currently growing.)
Yes. The architecture is decoupled and complements your existing backend, whether headless or classic, without replacing it or adding load.
As an add-on to any Laioutr platform license, on every plan. Packages are based on monthly conversation volume, with individual enterprise terms for large volumes.
Compare differences | ||||
|---|---|---|---|---|
AI Agent Mode Cap = Konversationen pro Monat. Wähle das Paket nach deinem monatlichen Konversationsvolumen; für sehr große Volumen individuelle Enterprise-Konditionen. Hinweis: Preise sind Platzhalter, bis die Google-Metrik für den Conversational Agent bestätigt ist – die Struktur bleibt gleich. | ||||
Konversationen bis Enthaltene Konversationen pro Monat (Cap) | 20.000 | 80.000 | 200.000 | > 200.000 |
Preis (Vorschlag) Monatlicher Preis für das AI-Agent-Mode-Paket (Platzhalter) | 390 € | 990 € | 2.290 € | individuell Preis nach Volumen – sprich mit uns Vertrieb kontaktieren |
AI Agent Mode as an add-on
AI Agent Mode is available as an add-on to any Laioutr platform license, on every plan.
Growth
Available as an add-on
Pro
Available as an add-on
Enterprise
Available as an add-on
Colloquio strategico
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