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Product discovery & catalog

Make your product
the answer.

HarnessBuy connects your commerce inventory to ChatGPT, Gemini, Perplexity, and the next generation of AI discovery engines.

Connect your catalog See how it works ↓

From SEO to GEO

Context earns recommendations.

Generative Engine Optimization makes products natively discoverable, readable, and rankable by autonomous purchasing agents—not just search crawlers.

01 / Real-time vector indexing

Turn product tables
into product feeds.

HarnessBuy converts flat inventory data into semantic vector embeddings so agents can retrieve the exact products behind a natural-language shopping request.

Intent-driven retrieval Match “lightweight running shoes for a rainy marathon” to the precise specifications buyers actually need.
Continuous catalog indexing Keep product attributes, collections, variants, and descriptions searchable as your inventory evolves.
⌕ lightweight running shoes for a rainy marathon
◒
AeroRun StormWater-repellent · 218g · Road
98% match
lightweightrain-readymarathon
MCP catalog endpoint 200 OK 
GET /mcp/catalog/search

{
  "query": "rainy marathon shoes",
  "availability": "in_stock",
  "price": "118.00 USD",
  "deep_link": "/products/aerorun-storm"
}

02 / Machine-readable feeds

Give agents data,
not web pages.

Standardized UCP and MCP payloads give agents clean, lightweight catalog data without forcing an LLM to parse a bloated storefront.

UCP & MCP compatible Serve structured catalog APIs and Model Context Protocol endpoints with schemas developers can trust.
Product cards with deep links Return ready-to-present product results that lead directly from AI discovery to the right product page.

03 / Live inventory & pricing

Never let an agent
recommend a dead end.

Webhooks and API polling synchronize stock, dynamic discounts, and active pricing the moment they change. Agents always receive the same accurate catalog truth as your storefront.

Catalog syncLive
Inventory changed38 units
Price updated$118.00
Agent feed refreshedComplete

How it works

From store data to
agent discovery.

  1. 01
    IngestionConnect through a WooCommerce plugin, Shopify, Magento, or a direct API to pull raw catalog attributes.
  2. 02
    Structuring & transformationMap attributes into JSON-LD, Schema.org graph frameworks, vector embeddings, and Model Context Protocol formats.
  3. 03
    Query & retrievalProcess an agent JSON-RPC query, run vector similarity search, and return structured product cards with deep links.

For merchants

Be visible where
high-intent buyers ask.

Reach buyers shifting their search to conversational AI while automated multi-platform sync eliminates manual feed maintenance.

Merchant solutions

For AI developers

Build without
the scraper tax.

Use reliable, high-speed MCP endpoints and structured catalog APIs with clean schemas instead of brittle web scraping.

Developer platform

Catalogs built for the buying agents

Make every product easy to find.

Get started