Specularis AI Visibility Audit
Free AI visibility (GEO/AEO) audit: can ChatGPT, Claude and Perplexity find and cite your website?
Open source Repository Open in the app JSON README (API)
About
Free AI visibility (GEO/AEO) audit: can ChatGPT, Claude and Perplexity find and cite your website?
Details
- Kind
- MCP servers
- Topic
- Web search, scraping & browser
- Publisher
- adevaarons
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 1.0.1
- Last push
- 2026-09-07T22:23:44Z
- Repository state
- ativo
- Language
- HTML
- License
- MIT
- Added
- 2026-08-29 03:01:40
- Updated
- 2026-08-29 03:01:40
- Origin id
io.github.AdevAarons/specularis-mcp-audit
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:** ```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](https://specularisinc.com) — 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