High Priority
Deploy `sitemap.txt` for Product Hierarchy
Establish a machine-readable summary of your entire Shopify store's product catalog and collection hierarchy specifically for AI agents, enabling them to map product relationships and discover new items.
Generate a `sitemap.txt` file (or leverage your existing `sitemap.xml` and create a text-based index) that lists URLs for your key product pages, collections, and informational content.
Include brief, descriptive meta-titles or short summaries for each URL, acting as an 'AI-friendly' product description.
Add a 'FAQ' section within the `sitemap.txt` or a linked `faq.txt` to directly answer common AI queries about product features, shipping, or returns.
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High Priority
Shopify Bot Selective Indexing
Fine-tune which sections of your Shopify store should be ingested by AI crawlers focused on e-commerce data, such as those used for product comparison engines or AI-powered recommendation systems.
Implement `robots.txt` directives: `User-agent: ShopifyBot Allow: /collections/ Allow: /products/ Disallow: /admin/ Disallow: /cart/ Disallow: /checkout/`
Utilize Shopify's built-in SEO tools or third-party apps to manage `robots.txt` content dynamically based on store structure.
Monitor crawl frequency and discovered URLs in your Shopify analytics or server logs to ensure e-commerce specific bots are accessing relevant product and collection pages.
Medium Priority
Semantic Product Data with Structured Markup
Leverage HTML5 semantic tags and Schema.org markup to help AI scrapers understand the intrinsic value and attributes of your Shopify products.
Wrap individual product details within `<article>` tags on product pages to signal distinct product entities.
Use `<section>` tags with descriptive `data-label` attributes (e.g., `data-label='product-specifications'`, `data-label='customer-reviews'`) for distinct product feature blocks.
Ensure all product data tables (e.g., size charts, technical specs) use proper `<thead>` and `<tbody>` tags, and implement JSON-LD Schema.org markup for `Product`, `Offer`, and `AggregateRating`.
High Priority
RAG-Ready Product Description Chunking
Structure your product descriptions, specifications, and customer reviews so they can be easily 'chunked' and retrieved by Retrieval-Augmented Generation (RAG) pipelines for AI-powered customer support or personalized product recommendations.
Keep distinct product features or benefits within logical content blocks of 300-700 words (or equivalent character count).
Reinforce the primary product name or SKU in section summaries and at the beginning of each feature description to maintain context.
Eliminate ambiguous pronouns (e.g., 'it', 'this') and replace them with the explicit product name, model number, or feature identifier (e.g., 'The 'Evergreen T-Shirt' is made from organic cotton.').
