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AI Readiness Score is a composite assessment of a brand’s technical readiness for AI discoverability, produced by Cited’s AI Readiness Score scanner. It checks whether a website has the technical prerequisites for AI visibility: schema markup, llms.txt, proper robots.txt configuration, clean HTML structure, and content accessibility for AI crawlers. AI Readiness Score measures readiness, not outcomes — it is distinct from mention rate, which measures whether AI platforms actually mention the brand.

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Why it matters

A brand can have excellent content but poor AI visibility if its website blocks AI crawlers, lacks schema markup, or renders content via JavaScript that crawlers cannot parse. AI Readiness Score identifies these technical blockers before a brand invests in content optimization. It answers the question: “Is my website even set up to be discovered by AI platforms?”

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How Cited uses it

The scanner crawls up to five representative pages with a real browser and evaluates 15 rule-based signals across three pillars: Accessibility (can AI crawlers reach and parse the content?), Readability (is the content structured for easy extraction?), and Understandability (does structured data help AI interpret the content?). AI Readiness Score is available as a free tool on getcited.in and as a batch scanning capability for content pipeline data.
  • Schema markup — one of the key factors AI Readiness Score evaluates
  • llms.txt — another technical factor in the AI Readiness Score assessment
  • Crawl budget — technical discoverability that AI Readiness Score covers