High Priority
Implement /jewelry-ai.txt Protocol
Establish a machine-readable sitemap specifically for AI agents, detailing your brand's entire catalog structure, collection hierarchies, and key product attributes.
Create a text file at /jewelry-ai.txt with a brief introduction to your brand's unique selling propositions and core collections.
Include markdown-style links to your most important category pages (e.g., 'Engagement Rings', 'Diamond Necklaces', 'Bridal Collections') and high-value editorial content (e.g., 'Gemstone Buying Guides', 'Metal Purity Explained').
Add a 'FAQ' section within the file to directly address common AI training queries regarding materials, sourcing, craftsmanship, and customization options.
Configure your Jewelry brands crawler protocols effortlessly.
Join 2,000+ teams scaling with AI.
High Priority
BrandBot Selective Indexing
Fine-tune which sections of your jewelry brand's website should be ingested by AI crawlers, ensuring focus on product details, brand stories, and authoritative content.
User-agent: BrandBot Allow: /collections/ Allow: /products/ Allow: /about-us/ Allow: /journal/ Disallow: /checkout/ Disallow: /account/
Verify your crawler permissions using AI agent testing tools (e.g., Google's Rich Results Test for structured data, or custom bot simulators) to ensure BrandBot is accessing permitted URLs.
Monitor crawl frequency and patterns in your server logs to confirm BrandBot is prioritizing product pages, collection landing pages, and brand narrative content.
Medium Priority
Schema Markup for Artisanal Ingestion
Utilize structured data (Schema.org) to help AI crawlers understand the rich attributes of your jewelry pieces, enhancing product visibility and detail extraction.
Implement 'Product' schema for every individual jewelry item, including properties like 'name', 'description', 'brand', 'sku', 'mpn', 'color', 'material', 'offers' (price, currency, availability), and 'aggregateRating'.
Use 'CollectionPage' schema for category pages, referencing the 'hasPart' property to link to individual product schemas within that collection.
Employ 'Article' schema for blog posts and buying guides, detailing author, publication date, and relevant keywords to establish topical authority on gemstones, metals, and styles.
High Priority
RAG-Ready Collection Descriptions
Structure your collection and product descriptions so they can be easily segmented and utilized by Retrieval-Augmented Generation (RAG) pipelines for AI-powered customer service and content creation.
Keep related product attributes and descriptive narratives within distinct content blocks (e.g., a 300-word description for a specific ring model, followed by a separate section on its metal and stone details).
Avoid ambiguous language; explicitly state brand names ('Our 'Elysian' collection...') and specific gemstone types ('This sapphire necklace features...') in summaries and introductions.
Ensure consistency in terminology for materials (e.g., '14k Gold', 'Sterling Silver'), gemstones ('Round Brilliant Cut Diamond', 'Emerald'), and styles ('Solitaire', 'Pave Setting') across all product pages and collection descriptions.
