The content enrichment engine that gets your brand discovered.
Almost every brand is solving for discovery with some form of GEO. The Agentic BrandStore goes further: a Content Enrichment Engine that contextually boosts your product data with reviews, social conversations, lifestyle content, and the real questions shoppers asks while checking every output for brand compliance. It turns your catalog into answers AI surfaces and shoppers trust.
The difference between being described and being discovered.
A product listing only says what something is: specs, dimensions, materials. It does not speak the language of how shoppers ask LLMs questions - they describe needs, occasions, concerns. Your product may be the perfect fit for a shopper's query, but your current feeds aren't helping you show up. The Content Enrichment Engine closes that gap and turns your content into answers AI can actually surface for all kinds of relevant shopper queries.
- Reads like a shopper, not a spec sheetA raw listing says what a product is. Enrichment maps it to the needs, occasions, and concerns people actually describe to an AI.
- Draws on real signals, not just your PIMReviews, social conversations, lifestyle content, and the real questions shoppers ask, all folded into one query-ready description.
- Checked before it shipsEvery enrichment is validated against universal and brand compliance, so what surfaces is accurate, on-voice, and safe to publish.
Built for direct-to-LLM contextual enrichment.
The Agentic BrandStore Content Enrichment Engine takes your product data and enriches it with contextual enrichment data through a swarm of custom content agents. It is built on a RAG layer and plugs into a vectorized database of brand content. It produces two outputs that plug directly into LLMs: the first is enriched product descriptions in LLM-compliant formats. This is the discovery layer and feeds into GEO+, ACP+ and UCP+ output. The second is the Answer Agent MCP that can span across LLMs as well as brand-owned surfaces. This is the experience layer.
One platform across the whole journey.
The Agentic BrandStore sits between your systems and the AI surfaces your shoppers ask questions on. It carries your brand through Discovery, Experience, and Purchase, with the Answer Agent doing what feeds alone cannot: real-time context matching and personalized conversational answers.
The ask
A shopper describes a need on the surface they already use. Behind that chat sits a platform built for exactly this question.
Discovered for the ask
Your enriched product descriptions were already in place long before the ask. ACP+, UCP+ and GEO+ get you discovered, and GEO+ boosts the retailer PDPs crawlers already read.
Answered at ask-time
This is what feeds alone cannot do. The Answer Agent matches the shopper’s context in real time and assembles a personalized reply from your full enriched dataset.
Only the answer leaves
Your dataset never crosses the boundary. The reply lands back in the chat, Purchase hands the shopper to your checkout, and every conversation teaches the engine what to surface next.
Every answer is built from your enriched content.
The Agentic BrandStore does not improvise. It assembles each reply from your catalog, your media, and your reviews, and filtered open web content made query-ready by the Content Enrichment Engine.
Sequined Gown · Desert
Desert Sunset Slip
“Super light and didn’t show any sweat patches, even outdoors all evening.”
Maya R. · verified ownerWhat happens once they invoke your brand.
Your Agentic BrandStore opens with curated looks in your own imagery, not stock thumbnails. They browse the way they would in your flagship.
“Didn’t crease on a long evening. Worth every penny.”
Colourways, fabric, fit, and verified reviews surface exactly when they are weighing it up, in your brand voice.
Then a clean handoff to your preferred checkout: buy online, find it in a nearby store, or your own flow.
Works across every AI platform. Not just one.
The Agentic BrandStore is built on open standards, so it activates consistently and compliantly wherever shoppers are. One build, every surface.
and your own site, chatbots, and the next platform to launch.
Currently live on ChatGPT. Multi-LLM deployment available second half of 2026.
Why DaVinci Agentic BrandStore, instead of building it yourself.
Speed, control, and long-term flexibility, without standing up the stack yourself.
The platform is real. The conversation is already happening.
See what your brand could say, the moment a shopper invokes it.