Recommendation coverageBrand absent from 4 of 5 answers
GapHelp AI find, understand, and recommend your products.
Agentic commerce is how AI agents discover, compare, recommend, and help shoppers buy products. Lexsis makes your brand easier for those systems to understand, then builds the storefront experiences shoppers need after the recommendation.
Illustrative audit sequence
Shopper asks
“What is the best gentle retinol for sensitive skin?”
Catalog evidenceThree attributes need clearer context
GapStorefront destinationNo page answers this exact question
GapLexsis action planPage prepared
Catalog priority
Add tolerance, strength, and routine attributes.
Page prepared
Preview storefront page“Retinol for sensitive skin” comparison journey.
Monitored across every major AI engine
What does agentic commerce mean for a consumer brand?
AI SEO and GEO help your products enter the conversation. Agentic commerce carries that work further: the agent must understand the product, compare it confidently, and connect the shopper to a destination that fulfills the recommendation.
This model follows the product-data, catalog-access, and storefront-agent guidance published by Shopify and Shopify Developers.
Discover
AI systems interpret a shopper’s question and search products, pages, feeds, and trusted sources for possible answers.
Evaluate
They compare product attributes, evidence, price, availability, policies, and fit before forming a recommendation.
Act
The shopper or agent continues into a product page, guided journey, cart, and the Shopify checkout.
What do AI agents need from your catalog?
A product cannot be compared accurately if its identity, evidence, commercial terms, or machine-readable data is incomplete. Agentic readiness starts by making those layers clear and consistent.
Product identity
Clear categories, taxonomy, brand, identifiers, attributes, variants, and variant relationships.
- Category and taxonomy
- SKU and GTIN coverage
- Variant attributes
Product understanding
Specific titles, useful descriptions, rich imagery, reviews, use cases, and meaningful differentiators.
- Descriptive product copy
- Evidence and reviews
- Rich product media
Commercial truth
Current pricing, inventory, availability, shipping, returns, markets, and product policies.
- Price and availability
- Shipping and returns
- Market-specific details
Machine accessibility
Product schema, merchant feeds, crawlable pages, catalog access, and consistent information across surfaces.
- Product and Offer schema
- Feeds and catalog access
- Fresh, consistent data
Based on Shopify product taxonomy and Google merchant-listing and product-variant guidance. Structured data supports eligibility and understanding; it does not guarantee placement.Shopify taxonomyGoogle merchant listingsProduct variants
Lexsis closes the gap between being eligible and being chosen.
Most tools stop at a score or recommendation. Lexsis connects discovery evidence to the content, pages, tests, and shopping experiences your team can actually publish.
Measure AI discovery
Track the questions buyers ask, how AI systems answer, which competitors appear, and which sources get cited.
Explore AI visibilityAudit agentic readiness
Inspect catalog quality, technical SEO, structured data, commercial policies, and source coverage.
Prioritize the fixes
Turn missing attributes, weak product evidence, and visibility gaps into a practical action plan.
Build the destination
Create product, collection, comparison, campaign, and question-led pages from your brand and catalog information.
Explore AI storefrontsPublish, test, and measure
Ship controlled storefront variants, compare them with the current experience, and carry the result forward.
Guide the shopper
Help visitors ask questions, compare options, and find the right product without searching the entire catalog.
Shopify runs commerce. Lexsis makes it agent-ready.
Lexsis adds the discovery and execution layer without replacing the systems that already run your store.
Shopify
- Catalog, variants, and inventory
- Pricing, markets, and availability
- Checkout, customers, and orders
- Store policies and commerce operations
Lexsis
- AI recommendation and citation monitoring
- Catalog, technical, and evidence audits
- Dynamic storefront and guided-shopping pages
- Publishing, experimentation, and measurement
See how AI visibility becomes an execution plan.
The DRANKS story shows how clearer evidence, structured publishing, and consistent product details can change where a brand appears across AI and search discovery.
Read the customer storyOutcomes vary by category, evidence, implementation, competition, and measurement.
Agentic commerce, explained.
Clear answers about AI discovery, catalog readiness, dynamic storefronts, Shopify ownership, and what brands can improve.
Find the gaps between your catalog and an AI recommendation.
Run a free agentic commerce audit across AI visibility, catalog readiness, structured evidence, and the storefront journey that follows.