The io.github.AdevAarons/specularis-mcp-audit MCP server performs a Free AI visibility (GEO/AEO) audit. It evaluates whether major AI assistants—including ChatGPT, Claude, and Perplexity—can find and cite a website. The provided description frames the server’s purpose as answering a specific discoverability and citation question for a given site.

🛠️ Key Features

Performs a Free AI visibility (GEO/AEO) audit
Checks whether ChatGPT, Claude, and Perplexity can find and cite your website

🚀 Use Cases

Determine AI search/discovery visibility for a website
Assess whether specific AI platforms can reference your site in responses

⚠️ Limitations

Only the audit scope described above is confirmed (GEO/AEO visibility and citation by ChatGPT/Claude/Perplexity)
No additional tools, configuration options, or tooling details are included in the provided source data

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):

code

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:

bash

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).

bash

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

website_url	string	required	The website to audit, e.g. https://example.com
email	string	optional	Optional. If provided, the full scored PDF report is emailed here (and the user becomes a Specularis lead). Omit for just the instant snapshot.
name	string	optional	Optional name for the report greeting.
role	string	optional	Optional. Tailors the audit lens — local-service providers are scored on local entity signals, reviews, and directories.

Specularis AI Visibility Audit

🛠️ Key Features

🚀 Use Cases

⚠️ Limitations

Topics

run_ai_visibility_audit

book_strategy_call