AI Ready Check
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Check how AI sees your site

Enter a domain and see how understandable your site is to AI systems, what they extract from your content, and what to improve for an AI-ready presence.

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Visibility in AI search
See how visible your site is in answers from AI systems and search services.
Content understanding
Check whether AI correctly interprets your text, meaning and offers.
AI-ready score
Get a readiness score and concrete recommendations to improve.
What it is

Ready when you are

AI Site Scorer is a public readiness scanner. Give it any domain and it runs real HTTP probes — as GPTBot, ClaudeBot, PerplexityBot and other agents — then checks the emerging standards that decide whether AI systems can find, read and cite your site: llms.txt, robots Content Signals, structured data, MCP and API catalogs. You get a graded scorecard, the exact failing checks, and how to fix them.

→ llms.txt · robots Content Signals · MCP
→ Real HTTP probes across 8 AI bot user-agents
→ Independent evidence-based AI trust evaluation
37%
Overall readiness
67 / 182 F
Poor
✓ Homepage reachable over HTTPS
✕ No CAPTCHA / bot challenge on homepage
✕ llms.txt present
Why it matters

Search is turning into answers

The web is shifting from ranked links to AI-generated answers — and those answers are assembled by machines that crawl, parse and judge your pages on their own terms. If an agent can't reach, read or trust your site, you never appear in the reply a user sees, and you never find out why.

01
Answers, not ten blue links
Google's top result is now a Gemini answer and DuckDuckGo shows AI summaries. Most users read the generated answer and never click through — if you are not in it, the visit never happens.
02
Meta tags are fading
Agents fetch your raw HTML, summarize it and rank it with their own algorithms. Google is deprecating FAQ rich results in 2026 — hand-tuned meta tags matter less than whether the content is actually there and readable.
03
Readiness is measurable
Bot access, llms.txt, Content Signals, structured data and MCP are concrete, testable signals. This tool probes each one as a real AI crawler and scores exactly what agents see.
agent://checkout live
→ GET /product/42
← 402 Payment Required
→ POST /pay x402
← 200 Paid ✓
$29.00 settled agent-to-agent
Where this is going

AI agents will soon browse — and buy

The next web is not just read by AI, it is acted on by it. Standards like x402 let autonomous agents complete a purchase end to end — discover a product, evaluate the seller and pay — without a human ever opening the page.

x402
Agents that pay
Checkout becomes a machine-to-machine call, not a form a person fills in.
MCP
Chosen before you're seen
If your site is unreadable or blocked, you are filtered out before a human is shown a choice.
REV
Revenue tracks AI-readability
Readiness becomes revenue infrastructure, not SEO hygiene.
From our blog · 26 May 2026

Shifting priorities in SEO

Google is deprecating FAQ rich results and moving to AI-driven answers, Cloudflare's Agent Readiness standard is being adopted, and traditional meta tags are fading as agents read and rank pages themselves.

Read the article →