Your Shoppers Are on LLMs. Are You?
40% of shoppers now start their buying journey on AI platforms.
What Your Shoppers See Today vs. What They Could See
Without Agentic BrandStore
Query: “I have to attend a party and the dress code is spring chic. I have an ivory ankle-length linen skirt. What should I pair it with?”
Response: Generic, text-heavy AI response. The brand name appears buried in a wall of text alongside five competitors. No imagery, no product cards, no lifestyle content, no brand voice. The AI answered — but the brand had no control over the shopping experience.
With Agentic BrandStore
Same query. The response surfaces a fashion brand’s conversational commerce storefront. A curated spring edit appears within the conversation — blouse suggestions, accessory pairings, outfit inspiration, size guidance. All visual, all on-brand, all shoppable. The brand owns the AI shopping experience.
The Agentic BrandStore gives your brand the conversation — not just a mention.
From Chat to Buy
A Seamless Shopping Experience Curated Your Way
Stage 1: Discovery
Shopper prompt: “I’m hosting a girls’ night and need a gin cocktail recommendation.
Your brand’s AI-native storefront surfaces inside the AI conversation. Your brand’s recommendations appear with product imagery, descriptions, and lifestyle content.
The Self-Learning Discovery Engine maps shopper’s intent to your BrandStore, ensuring your brand is shows up in relevant discovery queries — automatically, by design.
Stage 2: Exploration
Shopper prompt: “What cocktails can I make with Vanquish? What are the ingredients?”
Recipes, product details, allergen information, serving suggestions. All delivered in your brand’s tone, using your approved content assets. All delivered in your brand’s tone, using your approved creative assets.
The Content Agents curate the response from across your approved content sources: brand website, product feeds, PDPs, PIM and DAM systems, UGC, and more — restructured for conversational delivery.
Stage 3: Purchase
Shopper prompt: “Where can I buy it?”
The following purchase paths appear instantly:
- Buy Online: Retailer redirect for delivery
- Shop In Store: Geo-locator showing nearest stockists with distance and opening hours
The Answer Agent maintains context across the full multi-turn conversation and guides the shopper down the purchase path. The Commerce Agent handles the connecting to retailer checkout or eCommerce, or emerging agentic commerce protocols (ACP, UCP).
All while staying compliant with your brand’s guardrails.
See the DaVinci Commerce Agentic BrandStore in Action
A global CPG brand partnered with DaVinci Commerce to launch one of the first Agentic BrandStores inside ChatGPT. The result was a fully branded, conversational shopping experience that turned AI discovery into measurable engagement and a direct path to purchase.
- Drive Meaningful AI Engagement
- Prove Commerce Readiness in LLM Environments
- Capture Zero-Party Shopper Intelligence
You’re doing GEO — that’s a start, but it’s not enough.
GEO ensures your brand gets mentioned when LLMs answer a relevant query. But getting mentioned is only half the battle
GEO (Generative Engine Optimization) ensures your brand gets mentioned when LLMs answer a relevant query. That’s necessary for AI discoverability. But getting mentioned is only part of the equation.
Once your brand name appears in a text response, GEO has done its job. From there, the response is generated by the LLM, not by you. Your brand’s voice, visuals, product details, and compliance guardrails are not part of that experience.
| GEO | Agentic BrandStore | |
|---|---|---|
| Brand mentioned in LLM responses | ✔ | ✔ |
| Brand controls the response content | ✖ | ✔ |
| Visual, lifestyle, and rich media content | ✖ | ✔ |
| Brand voice and compliance guardrails | ✖ | ✔ |
| Shopper intent data captured | ✖ | ✔ |
| Direct path to purchase | ✖ | ✔ |
Why DaVinci Agentic BrandStore vs Build It Yourself
Buy vs. Build: Speed, Control, and Long-Term Flexibility
| Challenge |
Build It Yourself   |
Agentic BrandStore  |
|---|---|---|
| Time to Market | 3-6 months of dev & prompt engineering | Turnkey - Live in 1 week |
| Asset Transformation | Manual resizing for each LLM, broken UI | Auto-transformed brand assets |
| Ecosystem Reach | Vendor lock-in to one LLM provider | Omni-LLM-One build, universal reach |
| Scale & Security | Unproven, prone to rate limits | Enterprise-scale - over Ibn impressions/day |
| Ongoing Mgmt. & Control | Engineering bottleneck for content update | Total self-service to control/update content |
| Performance Intelligence | Limited analytics, 'black box' session logs | Complete journey analytics - full visibility |
| Reliability & Support | "Best effort" by internal/community support | Enterprise-grade 24/7/365 support |
| Compliance & Guardrails | No built-in compliance system. Risk of unapproved content surfacing in the app | Enterprise guardrails built in. Brand voice, age-gating, claim validation enforced automatically |
| Automatic Content Updates | Manual updates when SKUs, pricing, or product info changes. No infrastructure for continuous publishing | Automated. Content syncs continuously from your feeds, PIM, and DAM. SKU changes publish automatically |
Works Across Every AI Platform. Not Just One.
DaVinci Commerce is fully LLM-agnostic. Whether your shoppers are on *ChatGPT, Google Gemini, Microsoft Copilot, or the next platform to launch, your BrandStore activates consistently and compliantly across all of them. One build. Every LLM.
*Currently live on ChatGPT. Multi-LLM deployment available second half of 2026.
BrandStore Studio
Set up your own BrandStore in just 3 steps:
- Choose your BrandStore layouts
- Connect your content sources
- Configure your 3 agents: the Answer Agent, the Content Agent, and the Self-Learning Discovery Agent
BrandStore
Deploy your self-optimizing BrandStore across LLMs. It automatically ensures:
- Personalized recommendations tailored to each shopper’s context and intent
- Compliance with enterprise guardrails, auditability, and responsible messaging
- Zero-party data capture: shopper intent signals, preferences, and engagement data from every conversation
- Downstream integration with commerce layers including ACP and UCP
Built for Agentic Commerce
Purpose-built for LLM environments. Not an SEO retrofit or prompt hack.
Experience Layer, Not Infrastructure Replacement
Complements ACP/UCP protocols. Adds brand-centric discovery on top of your existing commerce stack.
Omni-LLM Deployment
One build deploys across ChatGPT, Gemini, Copilot, and future platforms.*
Discoverability by Default
Proprietary discovery engine ensures your BrandStore surfaces for relevant queries automatically.
Brand-Safe by Design
Age-gating, claim validation, brand voice filtering. No hallucinations. No off-brand SKU misrepresentation.
Self-Optimizing Over Time
Learns from shopper signals and competitive shifts. Gets smarter without manual upkeep.