AI Readiness

AI Readiness

Check whether a website is visible to AI search engines (ChatGPT, Perplexity, Claude, Google AI Overviews). Returns a 0-100 readiness score, a grade, and a specific fix for each gap. Dependency-free, no API keys.

Category
Visit Server

README

ai-readiness

Is your website visible to AI search? A tiny, dependency-free CLI that checks whether ChatGPT, Perplexity, Claude, and Google AI can crawl and understand your site, and tells you exactly what to fix.

npx github:epistemedeus/ai-readiness yoursite.com

No install, no signup, no dependencies. Node 18+.

Prefer a browser? Run the same check (no install) at samedaydesk.com/tools/ai-readiness.


📦 Want the fixes done for you? AI Search Readiness Kit — $9

The checker tells you what to fix. This kit gives you everything to fix it, ready to paste:

  • Copy-paste robots.txt (welcomes every AI crawler), Organization + WebSite + FAQPage JSON-LD, title/meta/Open Graph templates, and an XML sitemap
  • The 7-fix priority checklist in order of impact
  • The full benchmark behind the dataset below
  • Delivered instantly after checkout — no signup

→ Get the AI Search Readiness Kit ($9) · Prefer a done-for-you audit of your site? See samedaydesk.com.

Dataset: 136 companies scored for AI-search readiness (June 2026)

We ran this checker against the homepages of 136 well-known companies across 7 industries and published the full results. Open data, free to use with attribution.

Average score by industry (lower = harder for AI search to read):

Industry Avg score n
Marketing agencies 92 24
SaaS 88 24
Dev tools 86 17
E-commerce 85 19
AI startups 83 25
Fintech 74 16
Healthtech 63 11

Notable findings: Healthtech is the least AI-search-ready industry (avg 63). Klarna scored an F (38); GitHub, Chime, Ramp, Gusto, Ro, Hims and Zocdoc each scored a D. Even some AI companies struggle — Perplexity scored a C and LlamaIndex a D. Most gaps are the same and entirely fixable: JavaScript-only homepages, missing JSON-LD structured data, and no sitemap.

Per-industry write-ups: SaaS · e-commerce · marketing agencies · AI startups · healthtech.

Why this matters

AI search is becoming how people find things, and AI answers are pulled from a small set of pages that are crawlable and well-structured. If GPTBot is blocked in your robots.txt, or your pages have no structured data, you can be invisible in AI answers no matter how good your site looks to humans. This tool checks the technical fundamentals that decide whether you're even eligible to be cited.

What it checks

Check Why it matters
AI crawler access Whether GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, Bingbot are allowed in robots.txt. Blocked = invisible.
Structured data (JSON-LD) AI engines use JSON-LD (Organization, FAQPage, Article) to classify and quote your content.
Title & meta description Present and well-sized, so engines have a clean summary to work with.
Open Graph tags Richer machine-readable context and clean link previews.
XML sitemap Helps engines discover your pages; submit it in Bing Webmaster Tools (ChatGPT Search reads the Bing index).
llms.txt Flagged as cheap hygiene only. Honest note: it has no proven effect on AI citations yet, so don't let anyone sell it to you as a ranking boost.

You get a 0-100 score, a letter grade, and a concrete fix for every failing check.

Example

$ npx github:epistemedeus/ai-readiness example.com

AI Readiness  https://example.com/
Score 72/100  Grade B

  PASS  AI crawler access  No AI crawler blocked.
  FAIL  Structured data (JSON-LD)  None found.
        fix: Add Organization + FAQPage + Article JSON-LD.
  PASS  Title & meta description  title 41 chars, description 132 chars
  WARN  Open Graph tags  2 og: tags
        fix: Add og:title, og:description, og:image, og:url.
  PASS  XML sitemap  found
  WARN  llms.txt  none (minor: no proven citation effect)

JSON output for scripting: npx github:epistemedeus/ai-readiness yoursite.com --json

Use as an MCP server

Add the checker to any Model Context Protocol client (Claude Desktop, Cursor, Cline, etc.) so you can ask your AI assistant "is my site visible to AI search?" and get a scored report inline. Dependency-free, runs over stdio.

{
  "mcpServers": {
    "ai-readiness": {
      "command": "npx",
      "args": ["-y", "github:epistemedeus/ai-readiness", "mcp"]
    }
  }
}

It exposes two tools:

  • check_ai_readiness(url) — returns the score, grade, and a specific fix for each gap.
  • generate_ai_readiness_fixes(url) — generates starter Organization + FAQPage JSON-LD (pre-filled from the site) and an AI-crawler-friendly robots.txt.

No install (hosted / remote)

If your client supports remote MCP servers (e.g. ChatGPT connectors, Claude.ai custom connectors), point it at the hosted endpoint — nothing to install:

{ "mcpServers": { "ai-readiness": { "url": "https://samedaydesk.com/mcp" } } }

Use in CI (GitHub Action)

Fail-fast on AI-search regressions by checking a URL on every deploy:

- uses: epistemedeus/ai-readiness@v1
  with:
    url: https://yoursite.com

The deep version

This CLI checks the technical basics. The questions it can't answer from your markup: do ChatGPT, Perplexity, and Google AI actually cite you for the queries your buyers type? How do you compare to named competitors? What's the highest-ROI fix first?

That's the AI-Search Visibility Audit from SameDayDesk: real citation testing across engines, a competitor benchmark, and a prioritized fix list as a PDF and web report, delivered same day. → samedaydesk.com

Need a custom MCP server?

Like how this one is built — dependency-free, stdio and remote (Streamable HTTP), published to the MCP registry, one clean tool? We build MCP servers for your API or product the same way. (Curious how? Read the guide: How to build a dependency-free MCP server.)

Custom MCP Server — $349, delivered fast. You get a working server (stdio + optional hosted remote), wired to your API, with the registry/manifest setup done. → get one built (or buy directly).

Guides

Free, in-depth guides on getting your site read and cited by AI search:

License

MIT © Neomorphic LLC (SameDayDesk)

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured