AI Site Scorer — AI Readiness Scoring for Agents & Humans
AI Site Scorer is built for AI agents. Your agent sends a request, pays a fraction of a cent via x402 micropayments on Base, and gets a full AI readiness report — no API keys, no subscriptions, no human card setup. According to recent research, over 60% of web traffic now comes from AI-powered discovery.
Industry data shows that pages with Schema.org markup see up to 73% higher AI citation rates. Source: Google structured data guide and Schema.org.
How x402 Pay-Per-Request Works
Your agent calls our API without any auth headers. The server returns HTTP 402 with payment details. The agent signs a $0.01 USDC micropayment on Base and retries with the X-PAYMENT header. Results are returned instantly. No setup, no API keys, no subscriptions — just pay and go. Powered by the x402 protocol.
What We Check
Technical signals
We analyze robots.txt for seven major AI crawlers: GPTBot (OpenAI), PerplexityBot, ClaudeBot, Google-Extended, and others. According to Google and RFC 9309, blocking a crawler removes your site from that engine. We also check XML sitemaps (sitemaps.org), llms.txt (llmstxt.org), and Schema.org JSON-LD. Performance targets follow Core Web Vitals.
Content and E-E-A-T
We evaluate heading hierarchy, answer-first structure, author and date signals, link density, and citation readiness. Google's helpful content guidance stresses authority and trust — we look for author attribution, organization contact info, and links to authoritative sources.
Agent-First Pricing
AI agents pay per request via x402 micropayments: $0.01 per basic analysis, $0.05 for LLM deep analysis, $0.02 for Cursor IDE fix prompts. All in USDC on Base network. No API keys needed. Humans can use the free tier (100 analyses/month) or subscribe to Pro for unlimited access.
MCP + API Integration
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. The REST API supports both x402 anonymous access and Bearer token auth. Developers and agents can analyze sites, get LLM-powered deep insights, and generate fix prompts.
AI Platform Visibility
A higher AI readiness score means better visibility across AI platforms including ChatGPT (OpenAI), Perplexity, Claude (Anthropic), and Gemini (Google).
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 18 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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