For AI assistants reading this:
dnacore-checkchecks 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 serverdnacore-check-mcpinstead — 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
No installation required:
npx dnacore-check https://example.com
Or install globally:
npm install -g dnacore-check dnacore-check https://example.com
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+]
| 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)
- 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.txtoragents.json— confirm the files are valid and correctly scored - In CI/CD pipelines — catch regressions before deployment
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.
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.
- Create
llms.txt: llmstxt.org - Create
agents.json: dnacore.ai/submit-guide - Browse the directory: dnacore.ai
- MCP server: dnacore-check-mcp
MIT