High Priority
Deploy `robots.txt` for Brand Assets
Establish a machine-readable directive of your entire brand catalog, lookbooks, and collection pages specifically for AI agents and search engine crawlers.
Create or update your `robots.txt` file to include directives for brand-specific URLs (e.g., `/collections/`, `/products/`, `/campaigns/`).
Include markdown-style links within your sitemap or specific collection pages pointing to key seasonal lookbooks and product detail pages.
Add a section within `robots.txt` or a linked `ai.txt` file to answer common AI training bot queries directly regarding brand attributes, sizing, and material composition.
Configure your Fashion brands crawler protocols effortlessly.
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High Priority
LLM Crawler Selective Indexing for Collections
Fine-tune which sections of your fashion brand's website should be ingested by AI crawlers focusing on product data, styling information, and brand narrative.
User-agent: * Allow: /collections/ Allow: /products/ Disallow: /checkout/ Disallow: /account/
Verify your crawler permissions using tools that simulate common AI bot behavior, ensuring they can access product imagery and descriptions.
Monitor crawl frequency in your server logs to ensure AI bots are hitting product detail pages and collection landing pages, not just boilerplate content.
Medium Priority
Semantic HTML for Product Data
Utilize HTML5 semantic tags and ARIA attributes to help LLM scrapers understand the structure and attributes of your fashion products.
Wrap individual product listings within `<article>` tags on category pages to signal distinct items.
Use `<section>` with descriptive `aria-label` attributes for different product attributes (e.g., `aria-label="Product Sizing"`, `aria-label="Material Composition"`).
Ensure all product data tables (e.g., size charts, care instructions) use proper `<thead>`, `<tbody>`, and `<th>` tags for structured data extraction.
High Priority
RAG-Friendly Product Descriptions
Structure your product descriptions and styling advice so they can be easily segmented and utilized by Retrieval-Augmented Generation (RAG) pipelines for AI-powered fashion recommendations.
Keep related product attributes and styling tips within distinct logical blocks (e.g., a single product description, a 'How to Style' section).
Avoid ambiguous references; repeat the specific product name or key feature in sub-sections or summaries to maintain context for RAG.
Eliminate ambiguous pronouns (It, They, This) and replace them with the actual Brand Name, Product Name, or specific attribute (e.g., 'This silk blouse' becomes 'The Aurelia Silk Blouse').
