Shopping agents are here
Nearly half of online shoppers will use AI agents by 2030. These agents research products autonomously: browsing, comparing specs, reading reviews, and making purchase recommendations.
If your product data is unstructured, buried in PDFs, or locked behind JavaScript-heavy pages, AI agents cannot find you. They will recommend your competitors instead.
What agents need
- Structured, machine-readable product data
- Semantic search across your entire catalog
- Rich media they can surface to buyers
- Standard APIs they can call programmatically
MCP Server: the standard for AI agents
Oeave includes a production-grade Model Context Protocol (MCP) server, the emerging standard for AI agent integrations. Any MCP-compatible agent (Claude, ChatGPT, custom agents) can connect to your product data.
Agents can list your products, search across all your content using natural language, and retrieve structured answers with video, all through a standard API.
MCP endpoints
GET
/products
List all published products
POST
/search
Semantic search across all product content
GET
/product-answers/{…}.json
Structured threads with video URLs
Query Video: branded answers on demand
When an AI agent queries your product, Oeave generates a branded MP4 video answering that specific question, assembled from your real content, rendered on GPU infrastructure, and cached for instant delivery.
No pre-recorded video library needed. Any question generates a unique, branded video response using your existing product content.
How Query Video works
The full agentic commerce stack
Everything AI agents need
llms.txt
Machine-readable product files that LLMs can consume directly: specs, features, pricing, and structured metadata.
Video sitemaps
videos.xml sitemaps let search engines and AI discover your branded video content automatically.
JSON-LD structured data
Schema.org markup on every published experience: products, pricing, availability, and reviews.
Semantic search API
Embedding-based search across all your product content. Agents find answers by meaning, not keywords.
Query Video
On-demand MP4 generation from any search query. Branded videos assembled and rendered automatically.
MCP Server
Standard Model Context Protocol endpoints. Works with Claude, ChatGPT, and any MCP-compatible agent.
The brands that are ready win first.
Agentic commerce is not a future vision. It is happening now. AI agents are already recommending products to buyers. The question is whether they are recommending yours.
First-mover advantage
Most brands have zero AI agent infrastructure. Being early means agents learn your products first.
Compounds over time
Every content piece you add deepens the data pool. More content means better search results and richer video answers.