seo-llmo

Agent-readiness is achieved by publishing an llms.txt file for AI context, configuring robots.txt with Content-Signal directives, and deploying JSON-LD structured data. This combination allows autonomous agents to safely discover, access, and parse public website content without mislabeling or exposing sensitive surfaces.

An llms.txt file is an agent-facing markdown document placed at a site's root to provide AI crawlers and autonomous agents with structured context. It supports agent access by clearly outlining available content and integration points, preventing mislabeling while improving discoverability for AI tools.

Add JSON-LD structured data to your site's pages to provide explicit semantic context for rich search results and AI citation. This skill enforces JSON-LD requirements across marketing sites, docs, blogs, and commerce storefronts, ensuring content is accurately parsed and cited by both search engines and AI agents.

Yes, this SEO and LLMO approach explicitly supports e-commerce storefronts, documentation, blogs, and marketing sites. It provides practical guidance and enforces requirements for JSON-LD, sitemap.xml, and agent-skills index across these varied site types to maximize discoverability.

Your robots.txt needs Content-Signal directives to enable both search and AI crawlers effectively. This skill outlines practical constraints and privacy-conscious defaults for robots.txt, ensuring public sites are accessible to legitimate AI agents without exposing sensitive surface areas.