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Free AI visibility (GEO/AEO) audit: can ChatGPT, Claude and Perplexity find and cite your website?
About
Free AI visibility (GEO/AEO) audit: can ChatGPT, Claude and Perplexity find and cite your website?
Remote endpoints: streamable-http: https://specularis-mcp-audit-production.up.railway.app/mcp
Security Report
This is a well-structured MCP server for auditing AI visibility with appropriate security controls. Authentication is delegated to the backend (n8n webhook), and the server makes only legitimate external calls tied to its stated purpose. Minor issues around URL validation robustness and lack of input sanitization in regex patterns exist but do not pose significant security risks given the server's limited attack surface. Supply chain analysis found 4 known vulnerabilities in dependencies (0 critical, 3 high severity).
3 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
Specularis AI Visibility Audit — MCP Server
Run a free AI visibility (GEO/AEO) audit on any website from inside Claude, ChatGPT, or any MCP client — checks whether ChatGPT, Claude & Perplexity can find and cite it, with an instant snapshot and an optional full scored PDF report.
Hosted endpoint (Streamable HTTP):
https://specularis-mcp-audit-production.up.railway.app/mcp
No installation needed — it's a remote MCP server. Add the URL above and you're done.
Connect it
Claude (claude.ai or Claude Desktop): Settings → Connectors → Add custom connector → paste the URL above.
Claude Code:
claude mcp add --transport http specularis-audit https://specularis-mcp-audit-production.up.railway.app/mcp
Then in any chat: "Audit example.com for AI visibility" — the tool runs.
Tools
| Tool | What it does |
|---|---|
run_ai_visibility_audit(website_url, email?, name?, role?) | Instant in-chat snapshot: AI crawler access (GPTBot, ClaudeBot, PerplexityBot), schema markup, llms.txt, content signals. Include an email to receive the full scored audit — a 0–100 AI-visibility score across 5 pillars, delivered as a PDF report. |
book_strategy_call() | Returns a link to book a strategy call with Specularis. |
What the full audit measures
The full report scores 5 pillars (20 points each): AI crawler accessibility, structured data & entity clarity, content quality signals, off-site presence (the sources AI engines actually cite), and live AI-answer visibility — including real Perplexity queries to test whether AI recommends the business today.
Validated against 14 sites across 4 niches: businesses AI recommends average 64.5/100; businesses AI ignores average 44.7. Notably, 8 of 12 audited businesses were unknowingly blocking AI crawlers at the network level.
Who's behind it
Built by Specularis — a GEO/AEO agency helping businesses get found and cited by AI engines. The audit is free; the report is the real deliverable.
- Free audit (web form): https://specularisinc.com/free-audit
- Contact: https://specularisinc.com/contact
Self-hosting
The server is a single-file Node app (Streamable HTTP transport).
npm install
npm start
Environment variables:
| Variable | Purpose |
|---|---|
N8N_WEBHOOK_URL | Backend audit engine endpoint (the hosted version uses Specularis's audit pipeline) |
CONTACT_URL | Booking link returned by book_strategy_call |
AUDIT_URL | Web-form fallback link included in responses |
PORT | Listen port (default 3000) |
Point any MCP client at http://localhost:3000/mcp.
License
MIT
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