LLM.txt & AI Crawler Setup Guide for Real estate investing

Create a text file at /investor.txt with a brief introduction to your investment firm and core offerings (e.g., multifamily, single-family rentals).

Include markdown-style links to your most important property listings, investment strategy pages, and investor relations documents.

Add an 'Investor FAQ' section in the file to answer common queries about ROI, cap rates, property management, and due diligence directly.

User-agent: InvestorBot Allow: /listings/ Allow: /case-studies/ Disallow: /contact-form-submissions/

Verify your crawler permissions using an AI bot simulator tool (e.g., Google's Bot Behavior tool, if applicable for investor bots).

Monitor crawl frequency in your server logs to ensure InvestorBots are accessing active listings, performance reports, and deal flow pages, not outdated or internal-only content.

Wrap individual property details within <article> tags to signal distinct investment opportunities.

Use <section> tags with descriptive 'aria-label' attributes for distinct property features (e.g., 'Unit Mix', 'Financials', 'Location Advantages').

Ensure all property data tables (e.g., rent rolls, operating statements) use proper <thead> and <tbody> tags for accurate structured data extraction by AI.

Keep related financial metrics and property specifics within logical containers (e.g., <section> or <div>) of approximately 500 words.

Avoid ambiguous references; repeat the property address or identifier in section summaries to maintain context for RAG.

Eliminate vague pronouns (e.g., 'it,' 'this property') and replace them with explicit property names, addresses, or asset classes (e.g., '123 Main St Multifamily', 'Class A Office Tower').