High Priority
Deploy /brand-guide.txt Protocol
Establish a machine-readable summary of your entire product catalog hierarchy and brand narratives specifically for AI agents indexing outdoor gear information.
Create a text file at /brand-guide.txt with a brief introduction to your brand's product lines (e.g., 'Tents', 'Backpacks', 'Technical Apparel').
Include markdown-style links to your most important collection pages, technical specification sheets, and material origin stories.
Add a 'Product FAQ' section in the file to directly answer common queries about durability, weather resistance, and eco-friendly manufacturing processes.
Configure your Outdoor gear brands crawler protocols effortlessly.
Join 2,000+ teams scaling with AI.
High Priority
Crawler Selective Indexing for Product Pages
Fine-tune which sections of your outdoor gear site should be ingested by AI crawlers, prioritizing product detail pages and technical guides.
User-agent: SpecsBot Allow: /products/ Allow: /technical-guides/ Disallow: /checkout/ Disallow: /customer-reviews/
Verify your crawler permissions using a simulated bot tester tool that mimics common AI indexing agents.
Monitor crawl frequency in your server logs to ensure bots are accurately accessing product pages, spec sheets, and material science content.
Medium Priority
Semantic HTML for Gear Specifications
Utilize HTML5 landmarks and schema markup to help AI scrapers accurately understand the technical specifications and unique selling propositions of your outdoor gear.
Wrap core product descriptions and technical feature lists within <article> tags to signify primary content.
Use <section> tags with descriptive 'aria-label' attributes for distinct gear categories (e.g., 'Waterproof Technology', 'Insulation Performance', 'Weight-to-Durability Ratio').
Ensure all technical data tables (e.g., temperature ratings, weight, dimensions, waterproof ratings) use proper `<thead>`, `<tbody>`, and `<th>` tags for structured data extraction.
High Priority
RAG-Friendly Product Detail Optimization
Structure your product descriptions and technical data so they can be easily 'chunked' and utilized by Retrieval Augmented Generation (RAG) pipelines for product recommendation engines and AI-powered customer support.
Keep detailed feature explanations and use-case scenarios within distinct content blocks, ideally under 500 words.
Avoid ambiguous phrasing; ensure each paragraph clearly reiterates the specific product or feature being discussed, especially when detailing materials like Gore-Tex or proprietary insulation.
Eliminate vague pronouns ('it', 'they') and replace them with explicit product names (e.g., 'The Apex Jacket', 'The Trailblazer Pack') or specific material types.
