Specularis AI Visibility Audit

Name: Specularis AI Visibility Audit
Author: AdevAarons

by AdevAaronsversion 1.0.1i★ –iRuns in the cloud

Registry nameio.github.AdevAarons/specularis-mcp-audit

Install

Overview

Description from the maker (original English)

Free AI visibility (GEO/AEO) audit: can ChatGPT, Claude and Perplexity find and cite your website?

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Web & browsers

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://specularis-mcp-audit-production.up.railway.app/mcp

Run this in your terminal

claude mcp add --transport http specularis-audit https://specularis-mcp-audit-production.up.railway.app/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "specularis-audit": {
      "url": "https://specularis-mcp-audit-production.up.railway.app/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "specularis-audit": {
      "type": "http",
      "url": "https://specularis-mcp-audit-production.up.railway.app/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://specularis-mcp-audit-production.up.railway.app/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account AdevAarons, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Web & browsersi

More stars than 0% of the other 1394 servers in this category
Published to the registry more recently than 21% of the other 1394 servers in this category
Basic checks equal to or better than 100% of the other 1394 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Specularis AI Visibility Audit safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Browser Use

Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.

by browser-useWidely used↓ 1.6M/wk★ 120.1KUpdated 19 days ago

Computer or cloud✓ browser-use.com

Install

Chrome DevTools MCP

Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.

by ChromeDevToolsWidely used↓ 1.9M/wk★ 54.8KUpdated 18 days ago

Runs on your computer

Install

MCP Server Browser

MCP server for browser use access

by bytedanceWidely used↓ 792/wk★ 39.6KUpdated 14 months ago

Runs on your computer

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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 — check whether ChatGPT, Claude, Perplexity and Gemini can reach, read and cite it, and find the sources they cite instead.

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, CCBot, Google-Extended), JSON-LD structured data, and `llms.txt`. Include an email to also receive the full scored report — 0–100 across six pillars — as a PDF. `role` accepts `Real Estate Agent`, `Attorney`, `Founder` or `Other` and tilts the scoring toward local entity signals, reviews and directories.
`find_ai_citations(query, domain)`	Given a buyer question ("best personal injury lawyer in Miami") and a domain, returns the sources AI engines actually cite when answering it, tagged by engine, plus an `appears in X of N` count for the domain. The ranked source list is the off-site target list.
`book_strategy_call()`	Returns a link to book a strategy call with Specularis.

Passing email to run_ai_visibility_audit sends a report and registers the person as a Specularis lead. Omit it for the snapshot alone.

Without an MCP client

The same scan engine is reachable over plain HTTP, with no key and no connector:

curl -s "https://specularis-mcp-audit-production.up.railway.app/api/scan?d=example.com"

Pass a bare hostname — no scheme, no path. It returns the full structured scan: per-bot fetch results, browser-vs-bot word counts for render-gap detection, parsed schema types, llms.txt, sitemap, and the six pillar scores. Useful for scanning domains in bulk.

If inconclusive is true, the scan could not complete — read inconclusiveReason and don't report a score.

What the full audit measures

Each bot is fetched with its real published user agent, so the result is what the engine itself would receive — not what a browser sees.

The report scores six pillars out of 100:

Pillar	Max	What it covers
`access`	20	Whether GPTBot, ClaudeBot and PerplexityBot can actually reach and receive the page
`entity`	15	Organization / Person / LocalBusiness schema, `sameAs`, address
`content`	15	Whether the text answers the questions buyers actually ask
`offsite`	30	The directories, review platforms and threads AI engines cite
`freshness`	10	Whether the content is maintained
`technical`	10	Sitemap, `llms.txt`, render gaps, crawlability

offsite is deliberately the largest pillar — more than access and entity combined. That reflects how the engines behave: they cite third-party corroboration far more often than a company's own marketing pages, so a technically flawless site can still be invisible.

A note on measuring "blocked". A real block is a 403, or a genuine interstitial with under 80 words of page text. Bot-protection layers return challenge pages intermittently, and counting those as blocks inflates the result — we published numbers once that were wrong for exactly this reason, and corrected them. Re-run before reporting a block.

Across 561 US businesses scanned in 2026, roughly half were effectively invisible to AI engines.

Use it as an agent skill

SKILL.md packages this as a portable agent skill in the open SKILL.md format — when to run an audit, how to read every field it returns, and the order to apply the fixes in. It works against either the MCP tools or the HTTP endpoint above.

Self-hosting

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

npm install

npm start

Point any MCP client at http://localhost:3000/mcp.

Variable	Purpose
`N8N_WEBHOOK_URL`	Backend audit engine endpoint for the full PDF report
`CONTACT_URL`	Booking link returned by `book_strategy_call`
`AUDIT_URL`	Web-form fallback link included in responses
`PORT`	Listen port (default 3000)
`PERPLEXITY_API_KEY`	Primary engine for `find_ai_citations`
`ANTHROPIC_API_KEY`	Adds Claude as a second engine
`GEMINI_API_KEY`	Adds Gemini as a third engine
`OPENAI_API_KEY`	Adds ChatGPT as a fourth engine
`OPENAI_MODEL`	Model for the ChatGPT engine (default `gpt-5-mini`)
`FINDER_DAY_MAX`	Global daily cap on citation-finder runs (default 250)

find_ai_citations needs at least one engine key. The engines array in each response reports which ones actually ran, so only claim the engines it names.

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

License

MIT

Specularis AI Visibility Audit

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Web & browsersi

Common questions

Alternatives

Browser Use

Chrome DevTools MCP

MCP Server Browser

README from the maker

Specularis AI Visibility Audit — MCP Server

Connect it

Tools

Without an MCP client

What the full audit measures

Use it as an agent skill

Self-hosting

Who's behind it

License