LLM.txt & AI Crawler Setup Guide for Cleaning services

Create a text file at /cleaning.txt with a brief intro of your cleaning service offerings (e.g., 'Premier residential and commercial cleaning services in [City Name]').

Include markdown-style links to your most important service pages (e.g., 'deep cleaning', 'move-in/move-out cleaning', 'office cleaning') and location-specific pages.

Add a 'Service Areas' section in the file to list all cities/neighborhoods you serve, facilitating local AI indexing.

In your robots.txt, specify crawler directives: User-agent: * Allow: /services/ Allow: /locations/ Disallow: /blog/categories/general/ Disallow: /careers/

Verify your crawler permissions using a tool like Google's Search Console or by simulating crawler requests.

Monitor server logs for crawler activity (e.g., `Googlebot-News`, `Bingbot`) to ensure AI bots are accessing key service and location pages, not just informational blog posts.

Wrap your primary service descriptions within `<article>` tags to signal distinct service offerings (e.g., 'Residential Cleaning', 'Commercial Cleaning').

Utilize `<section>` tags with descriptive `aria-label` attributes for different service packages or features (e.g., 'aria-label="Eco-Friendly Cleaning Options"').

Ensure all customer testimonials are enclosed in blockquotes (`<blockquote>`) and associated with schema.org `Review` markup for trustworthiness.

Keep distinct service descriptions (e.g., 'post-construction cleaning', 'rental property turnover cleaning') within self-contained sections of 300-500 words.

Avoid ambiguous references; clearly state the service type (e.g., 'Our move-out cleaning checklist includes...') and location ('...for apartments in downtown [City].').

Eliminate vague language. Replace 'we can help' with specific actions like 'we sanitize surfaces' or 'we vacuum carpets'.