01
Start with the brief
Describe the audience, offer, source, and page you need in plain English.
Plain-English inputYour store, personalized for every source of traffic.
Storefront experiences that turn intent into action.
AI agents, paid ads, and lifecycle campaigns all bring different intent. Lexsis generates storefront experiences that match the source, context, and customer signals behind every visit.
Commerce is becoming agentic. Your storefront needs context.
AI shopping agents from ChatGPT, Google AI Mode, and Copilot are discovering and recommending products on behalf of consumers. Shopify's Universal Commerce Protocol and Model Context Protocol are helping agents browse, cart, and checkout.
When those agents, your ads, or your campaigns send a visitor to your store, they should not arrive at a generic product page.
Lexsis AI Storefronts shape the experience around who the shopper is, where they came from, and what they need next.
Build the storefront surface each moment needs.
Ad-specific landing pagesMatch every post-click experience to the creative, audience, and intent that brought the shopper there.Campaign and promo pagesCreate campaign destinations that continue the message from email, SMS, WhatsApp, and seasonal promotions.Product detail pagesBring relevant proof, benefits, and content forward for each visitor and product context.Collection pagesShape category and curated collection pages around discovery intent and the products that matter now.A/B test variantsGenerate and compare page variants without creating another handoff for design or development.Quiz and bundle pagesTurn product discovery and bundle selection into guided, conversion-ready storefront experiences.
One workflow from context to conversion.
02
Connect the context
Lexsis brings together your catalog, brand, reviews, campaign context, and customer signals.
Signals in context03
Publish the experience
Ship a storefront surface on your domain and keep the path to Shopify checkout intact.
On-domain deliveryOne storefront system. Every traffic source.
Keep customer and commerce signals connected while the experience changes with the context that brought each visitor to your store.
AI agent traffic
When an AI shopping agent recommends your brand, the destination can reflect the context behind that recommendation.
Paid media traffic
Meta, Google, and TikTok campaigns can lead to pages that continue the promise made in the ad.
Retention traffic
Email, SMS, and WhatsApp campaigns can send returning shoppers to a page that continues the conversation.
Static pages lose the thread. Adaptive storefronts keep it.
A clear comparison for teams deciding whether their storefront should respond to traffic context or treat every visit the same.
| Capability | Traditional storefront | Lexsis AI Storefronts |
|---|---|---|
| Traffic source awareness | None | Adapts to source and intent |
| AI agent compatibility | Not optimized | Designed for agentic commerce |
| Personalization method | Segment rules | Customer and commerce signals |
| Setup per campaign | Manual | Brief-led workflow |
| Page generation | Static templates | Context-aware storefront pages |
Learn more
What is agentic commerce?A practical guide to AI shopping agents, UCP, and what they mean for ecommerce storefronts.Read articleUniversal Commerce Protocol explainedHow emerging commerce protocols help AI agents discover products and complete shopping journeys.Read articleLexsis vs AmborasCompare an ecommerce workflow that works with Shopify against a hosted commerce-platform migration.Read articleLexsis vs PageFlyCompare campaign-aware storefront workflows with manual Shopify landing-page construction.Read articleLexsis vs GemPagesCompare connected storefront workflows with template-led visual editing for Shopify pages.Read article
Questions about AI Storefronts.
The practical details on storefront context, traffic sources, Shopify, and publishing.
7 answers for Shopify teamsYour store should keep context from click to checkout.
See how Lexsis turns traffic source, customer signals, and product context into storefront experiences your team can publish.