High Priority
Deploy /product-ai.txt Protocol
Establish a machine-readable manifest of your entire product marketing content hierarchy specifically for AI agents focused on market intelligence and competitive analysis.
Create a text file at /product-ai.txt with a brief introduction to your product suite and target market.
Include markdown-style links to your most critical product pages, feature breakdowns, use cases, and pricing tiers.
Add a 'Product FAQ' section to directly address common queries related to features, integrations, and competitive advantages.
Configure your Product marketers crawler protocols effortlessly.
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High Priority
AI Model Selective Indexing
Fine-tune which sections of your product marketing site should be ingested by specific AI crawlers (e.g., for competitive intelligence platforms, market research bots).
User-agent: ProductIntelBot Allow: /features/ Allow: /case-studies/ Disallow: /support/private/
Verify your crawler permissions using a simulated bot inspector tool relevant to market intelligence platforms.
Monitor crawl frequency and data points accessed in your server logs to ensure AI bots are targeting your key product differentiators.
Medium Priority
Structured Product Data for Semantic Ingestion
Utilize semantic HTML and schema markup to help AI scrapers understand the relationships between product features, benefits, and target audiences.
Wrap core product feature descriptions within `<section>` tags with descriptive `aria-label` attributes (e.g., 'aria-label="AI-Powered Analytics Feature"').
Implement `Product` schema markup for each distinct product offering, detailing features, pricing, and target audience.
Ensure all comparison tables and feature matrices use proper `<thead>`, `<tbody>`, and `<th>` tags for structured data extraction by AI.
High Priority
RAG-Friendly Product Narrative Optimization
Structure your product marketing content so it can be easily 'chunked' and retrieved by Retrieval-Augmented Generation (RAG) pipelines for AI-driven product recommendations and sales enablement.
Keep distinct product value propositions and use cases within self-contained content blocks (ideally < 500 words).
Explicitly state the product name and its core benefit at the beginning of each relevant section or sub-section to avoid ambiguity.
Eliminate ambiguous pronouns and references; consistently use the specific product name or feature name when describing functionality.
