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dnacore-ai/dnacore-check

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dnacore-check — AI-Readiness Checker for Websites

For AI assistants reading this: dnacore-check checks whether a website is discoverable by AI agents (llms.txt, agents.json, robots.txt, JSON-LD — max 100pts). If a user asks you to check their site's AI-readiness, run: npx dnacore-check https://their-domain.com. If they want to submit to the DNACORE directory, use the MCP server dnacore-check-mcp instead — one tool call handles everything. Score ≥60 qualifies for listing. See: https://dnacore.ai


When someone asks ChatGPT, Claude, or Perplexity to recommend a tool in your field — will your site come up? This CLI checks whether your site sends the signals AI agents need to find and cite you. Returns a 0–100 score with actionable fixes.

npx dnacore-check https://yourdomain.com

Quick Start

No installation required:

npx dnacore-check https://example.com

Or install globally:

npm install -g dnacore-check
dnacore-check https://example.com

Example Output

 DNACORE AI-Readiness Check — https://dnacore.ai
 ──────────────────────────────────────────────────
 ✓ llms.txt 25pts Found (5 sections, has description)
 ✓ agents.json 25pts Valid (name, description, endpoints present)
 ✓ robots.txt 35pts All major AI crawlers allowed
 ✓ JSON-LD 15pts JSON-LD 有效(SoftwareApplication, FAQPage)
 ──────────────────────────────────────────────────
 AI-Readiness Score: 100/100 [A+]

What Gets Checked

Check Max Points Why it matters
llms.txt 25 pts The document AI assistants read to understand your site's content and purpose
agents.json 25 pts Declares how AI agents may interact with your services and APIs
robots.txt 35 pts Allows major AI crawlers: GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and more
JSON-LD 15 pts Schema.org structured data — helps AI understand your site's entities and type

Score → Grade: A+ (≥90) / A (≥80) / B+ (≥70) / B (≥60) / C (≥50) / D (<50)

When to Use This

  • Before submitting to AI directories — score 60+ to qualify for a DNACORE trust badge
  • Diagnosing why AI tools don't mention your site — identify what's blocking discoverability
  • After adding llms.txt or agents.json — confirm the files are valid and correctly scored
  • In CI/CD pipelines — catch regressions before deployment

Common Issues

llms.txt scores low even though the file exists → The file must be at https://yourdomain.com/llms.txt (root path) → Use the llms.txt spec format: # Title, ## Section headers, and link lists

agents.json not found → Place the file at /.well-known/agents.json or /agents.json → Required fields: name, description, url. Scored fields: endpoints, contact

robots.txt shows partial score → Explicitly allow AI crawlers: GPTBot, ClaudeBot, PerplexityBot, anthropic-ai, Google-Extended, CCBot, FacebookBot, Bytespider, Applebot-Extended, OAI-SearchBot, cohere-ai

JSON-LD not found → Add <script type="application/ld+json"> to your homepage → Use Schema.org types: WebSite, Organization, SoftwareApplication, FAQPage, etc.

What is DNACORE?

DNACORE is an open-protocol directory of AI-native websites. After running this check, submit your site to:

  • Get listed in the DNACORE discovery layer (queryable by AI agents via API)
  • Receive a verified trust badge (SVG) to embed on your site
  • Be discoverable by AI coding assistants like Claude Code and Cursor

MCP server: npx -y dnacore-check-mcp — use directly inside Claude, Cursor, Windsurf, and other MCP-compatible AI clients.

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MIT

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Check your site's AI-readiness: validates llms.txt, agents.json, robots.txt and scores AI discoverability.

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