High Priority
Deploy /ai-research.txt Protocol
Establish a machine-readable index of your entire investment platform's hierarchy, specifically tailored for AI financial agents and research bots.
Create a text file at /ai-research.txt with a concise overview of your platform's core investment offerings and data types.
Include markdown-style links to your most critical data pages: market analysis reports, asset class overviews, historical performance data, and regulatory filings.
Add a 'FAQ' section within the file to directly address common queries from AI models regarding data sources, methodologies, and asset coverage.
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High Priority
AI Model Selective Indexing (e.g., GPT-4, Bard)
Fine-tune which sections of your investment platform's public-facing data should be ingested and analyzed by specific AI research crawlers.
Implement user-agent directives in your robots.txt: e.g., 'User-agent: GPT-4 Allow: /market-data/ Allow: /research-reports/ Disallow: /user-portfolio/'
Verify your crawler permissions and data access policies using platform-specific bot testing tools (e.g., OpenAI's bot checker).
Monitor crawl frequency and data access patterns in your server logs to ensure AI models are accessing approved financial datasets and not sensitive or private user information.
Medium Priority
Semantic HTML for Financial Document Structure
Utilize HTML5 semantic elements to enable AI scrapers to accurately parse and understand the hierarchical structure and significance of financial documents and data points.
Wrap core analytical content and research papers within <article> tags to denote their primary importance.
Employ <section> elements with descriptive 'aria-label' attributes for distinct asset classes, investment strategies, or market segments.
Ensure all financial data tables (e.g., stock prices, fund performance metrics) strictly use proper <thead>, <tbody>, and <th> tags for structured data extraction by AI.
High Priority
RAG-Ready Financial Data Snippets
Structure your financial insights and data presentations so they can be easily 'chunked' and utilized by Retrieval-Augmented Generation (RAG) pipelines for accurate AI-driven financial advice or reporting.
Consolidate related financial metrics, analysis, or investment rationales within self-contained content blocks, ideally under 500 words.
Avoid 'floating' or disconnected context; explicitly restate the primary asset, fund, or market being discussed in section summaries or introductory sentences.
Eliminate ambiguous pronouns (e.g., 'it', 'this', 'they') and replace them with specific asset names, fund tickers, or strategy identifiers to ensure AI precision.
