LLM.txt & AI Crawler Setup Guide for B2B sales teams

Create a text file at /sales-bot.txt detailing your platform's core functionalities and target buyer personas.

Include markdown-style links to your most critical sales collateral (e.g., battlecards, ROI calculators, case studies, product sheets).

Add a 'Sales FAQ' section in the file to directly answer common queries from AI sales assistants or prospect research bots.

User-agent: SalesIntelBot Allow: /sales-collateral/ Allow: /customer-success/ Disallow: /internal-training/

Verify your crawler permissions using a simulated bot access tool for sales intelligence platforms.

Monitor crawl frequency in your server logs to ensure AI bots are accessing relevant sales enablement assets and not internal data.

Wrap core sales collateral like product datasheets and competitive comparisons in <article> tags to denote standalone value.

Use <section> with descriptive 'aria-label' attributes (e.g., 'Objection Handling Scripts', 'Competitor Pricing Analysis') for distinct sales plays.

Ensure all data tables, especially those comparing features or pricing tiers, use proper <thead> and <tbody> tags for structured data extraction by AI.

Keep cohesive sales talking points, objection responses, and value propositions within logical content blocks of approximately 500 words.

Avoid ambiguous references; explicitly state the product, feature, or competitive advantage being discussed in each section summary.

Eliminate vague pronouns (e.g., 'it', 'this') and replace them with specific product names, feature sets, or customer benefits to ensure AI clarity.