AI Site Scorer — Analyze Any Website for AI Readiness
AI Site Scorer is a free tool that analyzes any website for AI-readiness and provides an actionable score with specific recommendations. According to recent research, over 60% of web traffic now comes from AI-powered discovery — making AI readiness critical for modern websites.
How It Works
Enter any URL to get a comprehensive AI readiness report. Our analyzer runs 14 automated checks covering structured data, llms.txt, robots.txt, content quality, and more. Each check produces a score from 0 to 100, with specific fix recommendations.
What We Check
The analysis covers technical SEO factors like Schema.org structured data, llms.txt presence, robots.txt AI crawler rules, XML sitemap availability, and page performance. Content quality checks evaluate heading hierarchy, answer-first structure, content depth, and citation readiness. Advanced checks include Open Graph metadata, canonical URLs, E-E-A-T signals, FAQ schema, and date recency.
AI Platform Visibility
A higher AI readiness score means better visibility across AI platforms including ChatGPT (OpenAI), Perplexity, Claude (Anthropic), and Gemini (Google). "Sites that implement structured data and llms.txt see up to 3x more AI citations," according to industry analysis from leading SEO research firms.
MCP Integration for Developers
AI Site Scorer includes a built-in MCP (Model Context Protocol) server compatible with Cursor IDE, Claude Desktop, VS Code + Copilot, and other MCP clients. Developers can analyze sites, get LLM-powered deep insights, and generate fix prompts directly from their development environment.
Pricing
The free tier includes 100 analyses per month. Pro subscribers ($9/month) get unlimited analyses plus LLM-powered deep analysis and Cursor IDE fix prompt generation. Anonymous pay-per-use is available via x402 micropayments at $0.01 per analysis, $0.05 for LLM enhancement, and $0.02 for fix prompt generation.
Frequently Asked Questions
What is AI readiness?
AI readiness measures how well a website is structured for discovery and citation by AI language models. It encompasses technical factors (structured data, crawl permissions), content quality (depth, citations, structure), and metadata completeness.
How is the score calculated?
The overall score is a weighted average of 14 individual check scores. Technical checks account for approximately 50% of the score, content quality checks for 30%, and advanced checks for 20%. Each check is scored from 0 to 100 based on specific criteria.
Why does llms.txt matter?
llms.txt is an emerging standard that helps AI models understand your site's purpose and content structure. Similar to robots.txt for search engines, llms.txt guides how AI platforms interpret and cite your content. Sites with llms.txt report improved accuracy in AI-generated summaries.
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