High Priority
Deploy `robots.txt` for AI Bots
Establish a machine-readable directive file to guide AI crawlers, similar to how search engines are directed, but tailored for AI training and indexing.
Create or update your `robots.txt` file to include specific directives for AI bots (e.g., `GPTBot`, `ClaudeBot`).
Use `Allow` directives for key product pages, spec sheets, and support documentation that you want AI models to learn from.
Use `Disallow` for sensitive internal pages, checkout processes, or user account areas that should not be part of AI training data.
Configure your Tech accessories brands crawler protocols effortlessly.
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High Priority
Brand-Specific Crawler Directives
Fine-tune which sections of your tech accessory brand's website are accessible and prioritized for ingestion by specific AI crawlers.
Implement user-agent specific rules: e.g., `User-agent: GPTBot Allow: /product-line-x/ Allow: /reviews/ Disallow: /cart/`.
Utilize tools provided by AI model developers (if available) to test your `robots.txt` configurations.
Monitor server logs for AI bot activity to ensure they are respecting your directives and accessing intended content sections.
Medium Priority
Structured Data for Accessory Attributes
Employ schema markup (like Schema.org) to semantically define your tech accessories, making them easily understandable and extractable by AI crawlers.
Use `Product` schema for each accessory, detailing attributes like `brand`, `model`, `color`, `connectivity` (e.g., Bluetooth version, USB-C), and `compatibility` (e.g., iPhone 15, M3 MacBook).
Implement `Review` schema for customer feedback to provide AI with sentiment and feature validation.
Ensure all technical specifications are clearly marked up, allowing AI to accurately parse data points for comparison or feature extraction.
High Priority
Content Chunks for RAG & Feature Extraction
Structure your product descriptions, reviews, and support articles into digestible 'chunks' optimized for Retrieval Augmented Generation (RAG) pipelines and AI feature analysis.
Segment content by specific product features or use cases (e.g., 'Noise Cancellation for Headphones', 'Fast Charging for Power Banks'). Aim for ~300-500 words per logical segment.
Ensure each chunk includes explicit references to the accessory name and brand, avoiding ambiguous pronouns.
Incorporate distinct sections for 'Key Features', 'Technical Specifications', and 'Troubleshooting' within each product page for granular AI ingestion.
