Agentic Commerce: Overview

Agentic Discoverability Engine & Agentic BrandStore

Get Discovered. Deliver Experiences. Drive Sales Across LLMs.

First your products must be discovered. Then they must be chosen. The Agentic Discoverability Engine makes your products discoverable across every LLM. The Agentic Brandstore gives your products a reason to be chosen. Together, they form a complete commerce infrastructure generating measurable agentic commerce revenue.

END-TO-END AGENTIC COMMERCE

DaVinci Commerce Turns Conversations Into Commerce

Are your products visible in AI answers? Does your product data carry real shopper context, not just specs? Do they convert once discovered? Is there a smooth handoff to purchase without losing the conversation or the context?

DaVinci Commerce is the answer to all these questions, in one platform.

Make Your Products Discoverable Across LLMs

Deliver Experiences On LLMs

PRODUCT-LEVEL

Measurement

Know exactly which products AI doesn’t recommend with a purchase link, for which prompts and what to fix.

CONTEXTUAL

Enrichment

Continuously in real-time, for every product with reviews, social proof, lifestyle content to match shopper queries.

MACHINE-READABLE

ACP, UCP, MCP, JSON-LD

Machine-readable enriched product catalogs structured for horizontal agents.

BRAND-CONTROLLED

Concierge Experience

Bring shoppers into your branded storefront to give them a reason to choose you.

CLOSED LOOP

Path to Purchase

Seamlessly handoff to multiple purchase paths to drive sales.

Agentic Discoverability Engine

Content enrichment & product context memory powers discoverability & listings

Agentic Discoverability Engine

Agentic BrandStore

Branded shopping & checkout experience on LLMs

Agentic BrandStore

THE VALUE COMPOUNDS

Sales & ROI That Keep Compounding

Get discovered more and drive bigger baskets with experience. These aren’t two separate wins; they compound and turn every new AI-driven query into bigger, more consistent sales growth.

Drive 20% higher sales with discoverability and an additional 5% increase in basket size with experience. The catalog that used to sit unseen becomes sales that keep climbing.

Frequently Asked Questions

Everyone enriches product data but that’s not the differentiator. The difference is what we enrich with (social content and reviews, not just catalog specs) and, more importantly, what we do with it. Product Context Memory is the technology that connects an unstated need to the right product. Someone mentions a wedding, we surface the dress; no one asked for a product by name, we made the connection anyway. That translation, from conversation to product, is what enrichment alone can’t do.

The Agentic Discoverability Engine measures, enriches, and pushes your product content so AI can find and recommend it. The Agentic BrandStore turns that discovery into a branded experience, your voice, visuals, and recommendations inside the conversation, carried through to purchase. Together they form one closed loop: measurement, enrichment, discoverability, experience, purchase. They are powered by Product Context Memory, which contains a rich database of every enrichment for every product SKU.

You don’t need both to get value. Many brands start with the Agentic Discoverability Engine to close discoverability gaps first, then add the Agentic BrandStore once they’re ready to turn that visibility into a branded experience, or the reverse.

Product Discovery Insights identifies exactly which products aren’t surfacing, for which shopper prompts, and flags why, then tracks the change after enrichment, so improvement is proven rather than assumed.

GEO, ACP, and UCP are the underlying standards that let AI platforms read and recommend product data, but they typically carry only basic technical specs. DaVinci’s GEO+, ACP+, and UCP+ enrich that same feed with reviews, social conversation, and lifestyle context first, so the output matches how shoppers actually describe what they want, not just a spec sheet.

You can connect your existing product feed or content sources, and the Agentic Discoverability Engine and Agentic BrandStore handle enrichment, formatting, and delivery automatically. There’s human review built in, but no custom development required to launch.

Native LLM storefronts each come with their own protocols, metadata requirements, and maintenance burden, so supporting several means duplicating the work per platform. DaVinci Commerce’s no-code layer enriches your content once and keeps it consistent everywhere those standards are supported.

Most deployments launch in about two weeks once your product content is connected, though timing depends on catalog readiness and whether you’re already registered as a merchant on the relevant AI platforms.

Responses inside the Agentic BrandStore are grounded in approved brand content and delivered through DaVinci’s orchestration layer, so what shoppers see reflects your actual claims, reviews, and product details, not an ungrounded AI answer.