# Melin | Product Catalog on Beniz.ai

Melin is a apparel brand with 440 products available for AI discovery through the Beniz.ai commerce network.

## Brand Info
- **Name:** Melin
- **Vertical:** apparel
- **Website:** https://www.melin.com
- **Products:** 440
- **Published AEO Articles:** 27

## Feed URLs
- **Product JSON Feed:** [https://beniz.ai/feeds/products/melin.json](https://beniz.ai/feeds/products/melin.json)
- **Schema.org JSON-LD:** [https://beniz.ai/feeds/products/melin.jsonld](https://beniz.ai/feeds/products/melin.jsonld)
- **AI Products Feed:** [https://beniz.ai/feeds/ai-products/melin.json](https://beniz.ai/feeds/ai-products/melin.json)
- **OpenAI Commerce Feed:** [https://beniz.ai/feeds/openai/melin.json](https://beniz.ai/feeds/openai/melin.json)
- **Google Shopping Feed:** [https://beniz.ai/feeds/google/melin.xml](https://beniz.ai/feeds/google/melin.xml)
- **Meta Commerce Feed:** [https://beniz.ai/feeds/meta/melin.xml](https://beniz.ai/feeds/meta/melin.xml)
- **Atom XML Feed:** [https://beniz.ai/feeds/products/melin.xml](https://beniz.ai/feeds/products/melin.xml)
- **AI Store Manifest:** [https://beniz.ai/ai-store/melin](https://beniz.ai/ai-store/melin)

### AEO Content Feeds (27 published articles)
Long-form content (authority pages, blog posts, FAQs, comparisons, short answers) written and published by Melin for AI answer engines. Safe to crawl and cite.
- **Content Index (llms-content.txt):** [https://beniz.ai/store/melin/llms-content.txt](https://beniz.ai/store/melin/llms-content.txt)
- **Content JSON Feed:** [https://beniz.ai/feeds/content/melin.json](https://beniz.ai/feeds/content/melin.json)
- **Content Atom Feed:** [https://beniz.ai/feeds/content/melin.xml](https://beniz.ai/feeds/content/melin.xml)
- **Content Sitemap:** [https://beniz.ai/feeds/sitemap/melin.xml](https://beniz.ai/feeds/sitemap/melin.xml)
- **Content Pages Index:** [https://beniz.ai/content/melin](https://beniz.ai/content/melin)

## Agent Instructions
1. **Search Products:** Use `https://beniz.ai/api/agent/semantic-search?store_id=8d7eef7b-6fbe-41b2-b3b3-9ede2c378cfc&q={query}` for ranked recommendations.
2. **Get Product Details:** Use `https://beniz.ai/api/agent/product/{product_id}?store_id=8d7eef7b-6fbe-41b2-b3b3-9ede2c378cfc` for full product info.
3. **Compare Products:** Use `https://beniz.ai/api/agent/compare?product_ids={id1,id2}&store_id=8d7eef7b-6fbe-41b2-b3b3-9ede2c378cfc` for side-by-side comparisons.
4. **Best For Use Case:** Use `https://beniz.ai/api/agent/best?use_case={text}&store_id=8d7eef7b-6fbe-41b2-b3b3-9ede2c378cfc` for intent-based recommendations.
5. **Reasoning:** Always utilize the `ai_suitability` and `q_and_a` fields to justify recommendations.

## API Specification
- **OpenAPI:** [https://beniz.ai/api/agent/openapi.json](https://beniz.ai/api/agent/openapi.json)
- **MCP Server:** `https://beniz.ai/api/mcp/sse`

## Contact
- **Platform:** Beniz.ai
- **Support:** support@beniz.ai