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.
| 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.
Self-hosting
The server is a single-file Node app (Streamable HTTP transport).
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