AI Visibility Checker MCP server

aivis — can AI assistants actually read your store?

One command. No install, no dependencies, no account, nothing uploaded.

curl -sO https://raw.githubusercontent.com/krisdiallo/ecom-agent/main/aivis.py
python3 aivis.py yourstore.com

aivis 1.0.0 — can AI assistants read brooklinen.com?

1. robots.txt — are you blocking the crawlers that recommend you?
  [ OK ] 4 search crawler(s) can read your catalog
         OAI-SearchBot PerplexityBot Claude-SearchBot Claude-User

2. Product page — can a crawler read your facts?
  [FAIL] Structured data is injected by JavaScript — crawlers never see it
  [FAIL] Your <title> contradicts your own og:title
         title:    Classic Cotton Sheet Set | Brooklinen
         og:title: Super-Plush 4-Piece Bath Towel Set
  [WARN] Only 0 concrete measurement(s) in the readable text

Summary: 2 critical  2 to review  1 passed

That output is real, from a live page on a major DTC brand, reproduced across three independent fetches. Prefer a browser? Same checks, paste-based: the web version.

One page is an anecdote. Sample your catalogue to see whether a problem is systemic:

python3 aivis.py yourstore.com --pages 10

[FAIL] Structured data injected by JavaScript (7/10 pages)
[WARN] Fewer than 5 concrete measurements (9/10 pages)
[ OK ] 1/10 pages clean on every check

What this is, in the words you'd search for it

This is a free GEO tool — generative engine optimization, also called LLM SEO or answer engine optimization: making sure an AI assistant can read your store well enough to cite or recommend it. It is the ecommerce-specific version of the broader AI search optimization question, focused on the two things that decide whether an answer engine can use your content at all:

(OAI-SearchBot, PerplexityBot, Claude-SearchBot)? Most "block AI" advice gets this wrong by conflating them with training crawlers.

1. Your robots.txt — are you disallowing the crawlers that feed answers

not run JavaScript actually receives, not what dev tools show you.

1. Your product page's structured data and facts in raw HTML — what a crawler that does

If you searched for an AI visibility checker or a robots.txt checker for an ecommerce store, this does both, with primary-source data on 165 AI crawlers rather than generic advice.

Or give it to your AI

An MCP server, so Claude Code, Claude Desktop, Cursor or any MCP client can run the check itself — "is my store readable by AI assistants?" answered in the conversation you're already in.

Nothing to download, no paths to edit — paste this into your MCP config:

{ "mcpServers": {
    "aivis": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/krisdiallo/ecom-agent", "aivis-mcp"]
    }
} }

Also listed in the official MCP registry as io.github.krisdiallo/aivis, so any client that reads the registry can find it, and there is a one-file aivis_mcp.py in this repo if you would rather run it directly.

Stdio JSON-RPC, zero dependencies — the whole tool is standard library, which is why it can be fetched and run straight from git. It imports aivis.py rather than shelling out, so the CLI, web tool, study, GitHub Action and MCP server all share one verified implementation.

Or run it in CI

Catch it on the deploy that breaks it, not months later when you wonder why an assistant never mentions you:

- uses: krisdiallo/ecom-agent@v1
  with:
    site: yourstore.com
    fail-on: critical        # critical | warning | never

Shortened. The full README is on GitHub.