AI Assessment
Powered by ClaudeCodetrust.ai, you're like a hot mess of a website - 100% on metadata and accessibility, but your WebMCP is missing faster than a Kardashian at a tax audit. Focus on that Content-to-Code Ratio, and maybe hire a web dev who doesn't moonlight as a DJ. Gotta get that WebMCP up, my dude.
AI Recommendations
PrioritizedImplement sequential heading hierarchy (h1 → h2 → h3) for better agent parsing
Reduce non-content elements to increase content-to-code ratio for agents
Add CSP, HSTS headers to improve security and discoverability for agents
Publish OpenAPI/Swagger docs for API endpoints to aid agent integration
Implement WebMCP meta tags and APIs to enable agent discovery and interaction
Score History
Full Breakdown
25 passed · 9 warnings · 0 failed — 34 checks
Language set to "en"
Title found: "CodeTrust — AI Governance Enforcement Platform | Prevent ..."
Heading levels are skipped (e.g. h1 → h3) — maintain sequential order for agents
5 semantic elements found: nav, header, footer, section, aside
No forms on page — not applicable
Only 47% content — heavy scripts/styles reduce agent parsability
14 internal links, 10 in navigation — clear structure for agents
Could not fetch error page for testing
Description found (429 chars)
og:title, og:description, and og:type all present
4 valid JSON-LD block(s) found — excellent for agent comprehension
Canonical URL set: https://codetrust.ai
Both charset and viewport declarations present
Favicon declared (4 icon link(s))
Single-language site — no multi-language variants needed
4 schema types: SoftwareApplication, Organization, WebSite, FAQPage
No images on page — not applicable
24 links with descriptive text
No form inputs — not applicable
4 landmarks detected — clear page structure for agents
device-width ✓ · initial-scale ✓ · Zoom allowed ✓ · Media queries ✓
No tables on page — not applicable
Valid robots.txt found (43 directives)
Valid XML sitemap found — agents can discover all pages
HTTPS ✓ · 127ms response ✓ · CORS headers ✓
llms.txt found (21 lines) — LLM agents can discover site context
AI bots mentioned and allowed: gptbot, chatgpt-user, claude-web
HTTP 200 OK — page loads successfully for agents
No CSP · X-Frame-Options ✓ · No HSTS
API references found but no formal OpenAPI/Swagger documentation
No RSS/Atom feed — feeds provide machine-readable content updates
No WebMCP meta tags — early standard, recommended for agent tool discovery
No navigator.modelContext references — Imperative API not detected
No declarative WebMCP attributes on forms — recommended for agent tools
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