Get a comprehensive 0-100 score that measures how ready your website is for AI search engines like ChatGPT, Claude, and Perplexity. Find out exactly what to fix so AI can find, understand, and cite your content.
The AI readiness score is a single 0-100 metric that tells you how well your website is prepared for the new wave of AI-powered search engines. Instead of guessing whether ChatGPT, Claude, or Perplexity can find and cite your content, you get a concrete number backed by real data. The score aggregates signals across five categories — structured data, content structure, meta and social tags, performance, and sitemap plus AI-specific files like llms.txt and robots.txt directives. Research shows that websites scoring higher on these signals get cited significantly more often in AI-generated answers. A low score does not mean your content is bad — it means AI crawlers have a harder time understanding, indexing, and recommending it. Improving your score directly increases your chances of appearing in AI search results.
We check for valid JSON-LD schemas such as Organization, Product, Article, FAQ, and BreadcrumbList. Rich structured data helps AI engines understand what your pages are about and extract facts accurately.
We analyze your heading hierarchy, paragraph lengths, and use of lists and tables. Well-structured content is easier for LLMs to parse, summarize, and quote in their responses.
We verify meta descriptions, Open Graph tags, Twitter cards, and canonical URLs. These signals tell AI crawlers how to title, describe, and attribute your pages when generating answers.
We run a PageSpeed audit and check Core Web Vitals. Fast-loading pages are more likely to be crawled completely by AI bots, which often have strict timeout limits.
We look for a valid sitemap.xml, robots.txt rules for AI bots like GPTBot and ClaudeBot, and the presence of llms.txt. These files guide AI crawlers to your most important content.
An AI readiness score is a 0-100 metric that measures how well your website is optimized for AI search engines. It evaluates structured data, content structure, meta tags, performance, and AI-specific files to determine how easily models like ChatGPT, Claude, and Perplexity can discover, understand, and cite your content.
The score is calculated by running automated checks across five categories: structured data, content structure, meta and social tags, page performance, and sitemap plus AI-specific files. Each category contributes a weighted portion to the final 0-100 score, with bonus points for advanced optimizations like llms.txt and FAQ schemas.
A score above 80 is considered strong and means your site is well-prepared for AI search. Scores between 50 and 79 indicate room for improvement, while anything below 50 means AI crawlers are likely struggling to understand and recommend your content.
Start with the highest-impact fixes first: add JSON-LD structured data, create a clear heading hierarchy, write descriptive meta tags, and ensure your robots.txt allows AI bots. Adding llms.txt and improving page speed will unlock bonus points and push your score even higher.
We recommend checking your AI readiness score after every major content update or site redesign. Monthly checks are a good baseline to catch regressions. AI search engines evolve rapidly, so what scores well today may need adjustments tomorrow.
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