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Free AI readiness scan

Your website through the eyes of AI

Can AI agents find, understand, and interact with your site? Are ChatGPT, Perplexity, and Gemini recommending you to customers? Find out in seconds.

https://
  • 28 checks
  • 4 layers
  • Under 20 seconds
  • Free, always
(01) Two ways to measure

Readiness and visibility

28 checks, 20 seconds

AI readiness scan

Can AI agents discover, understand, and interact with your website? We check robots.txt, llms.txt, MCP endpoints, structured data, A2A protocols, and 22 more signals.

  • robots.txt + AI crawlers
  • llms.txt + context.md
  • MCP server + tools
  • A2A AgentCard
  • Structured data / schema
  • SSR + answer capsules
Instant results with AI deep analysis
4 engines, 10 queriesNew

AI visibility score

Are AI search engines actually recommending your brand? We query ChatGPT, Perplexity, Gemini, and Claude with real customer searches and check if your domain appears in their citations.

  • ChatGPT citations
  • Perplexity citations
  • Gemini grounding
  • Claude web search
  • Competitor tracking
  • Query-level results
(02) The four layers

What we check

Every website gets scored across four layers of AI readiness. Each layer has weighted checks that contribute to your overall grade.

(01)

Discovery

30%
of the score
  • robots.txt AI crawler rules
  • llms.txt context file
  • XML sitemap
  • MCP manifest (mcp.json)
  • A2A AgentCard
  • context.md
(02)

Comprehension

25%
of the score
  • Server-side rendering
  • JSON-LD schema
  • Meta tags (title, desc)
  • Answer capsules
  • Heading structure
  • Open Graph tags
(03)

Action

25%
of the score
  • MCP server endpoint
  • WebMCP registration
  • data-mcp-tool attributes
  • Contact forms
  • API discoverability
  • CORS headers
(04)

Agent-to-Agent

15%
of the score
  • A2A JSON-RPC endpoint
  • AgentCard skills
  • CORS preflight
  • Task protocol
  • Streaming support
(03) Example report

p0stman.com scores 85/A

85Grade A

p0stman.com

24 of 28 checks passed

Full llms.txt, MCP server, A2A endpoint, JSON-LD schema, SSR, answer capsules

Discovery
100%
Comprehension
83%
Action
80%
Agent-to-Agent
67%
(04) Why it matters

AI is the new search layer

Invisible to AI means invisible to buyers

When a prospect asks ChatGPT for recommendations, the AI cites specific brands. If your site is not structured for AI, you are not in that list. Your competitors are.

There is no page 2

Unlike Google, AI search engines do not have pages of results. The AI either mentions you or it does not. Being "almost visible" means being completely invisible.

Agents are the next interface

AI agents are already researching vendors, comparing products, and making recommendations on behalf of humans. MCP, A2A, and llms.txt are the protocols that let them interact with your site.

(05) FAQ

Common questions

What does AgentReady check?
28 automated checks across 4 layers: Discovery (robots.txt, llms.txt, sitemap, MCP manifest, AgentCard), Comprehension (SSR, structured data, meta tags, answer capsules), Action (MCP tools, WebMCP, data-mcp-tool attributes), and Agent-to-Agent (A2A endpoint, skills, CORS). Each check returns pass/fail with a specific fix suggestion.
What is the AI Visibility Scanner?
A separate tool that queries ChatGPT, Perplexity, Gemini, and Claude with 10 real customer search queries generated from your website content. It checks whether your domain appears in their citations, scores your visibility 0-100, and shows which competitor domains appear instead of yours.
How is the readiness score calculated?
Each check is pass or fail. Checks are grouped into 4 weighted layers: Discovery (30%), Comprehension (25%), Action (25%), and Agent-to-Agent (15%), plus 5% bonus monitoring checks. The weighted total gives a score out of 100 and a letter grade from A to F.
Are these tools free?
Yes, both tools are completely free. The readiness scan runs instantly with no signup required. The AI Visibility Scanner is rate-limited to 3 scans per day because it queries 4 live AI search engines in real-time, which has a real cost per scan.
(06) Closing the gaps

Scored low? We can fix it.

Get in touchFrom llms.txt to MCP servers

Or write to hello@p0stman.com

AGENT INTERFACE ACTIVE · MCP: p0stman.com/api/mcp · 5 TOOLS REGISTERED · [DISCOVERY] llms.txt · agents.md · context.md · sitemap.xml · robots.txt · TavilyBot ALLOWED · ClaudeBot ALLOWED · GPTBot ALLOWED · PerplexityBot ALLOWED · [COMPREHENSION] JSON-LD schema · /api/ai/context · /api/ai/services · /api/ai/portfolio · [ACTION] book_discovery_call · submit_inquiry · get_services · get_portfolio · search_content · [A2A] AgentCard: /.well-known/agent.json · Task endpoint: /api/agent · A2A JSON-RPC 2.0 · navigator.modelContext REGISTERED · WebMCP: 5 TOOLS · INDEXNOW: 145 URLs · Bing NOTIFIED · [MANAGED AGENTS] Lead Researcher · AgentReady Auditor · SEO Writer · Weekly Reporter · Claude Sonnet 4.6 · Cloud containers · Outcome-based grading · Multi-agent orchestration · AGENT INTERFACE ACTIVE · MCP: p0stman.com/api/mcp · 5 TOOLS REGISTERED · [DISCOVERY] llms.txt · agents.md · context.md · sitemap.xml · robots.txt · TavilyBot ALLOWED · ClaudeBot ALLOWED · GPTBot ALLOWED · PerplexityBot ALLOWED · [COMPREHENSION] JSON-LD schema · /api/ai/context · /api/ai/services · /api/ai/portfolio · [ACTION] book_discovery_call · submit_inquiry · get_services · get_portfolio · search_content · [A2A] AgentCard: /.well-known/agent.json · Task endpoint: /api/agent · A2A JSON-RPC 2.0 · navigator.modelContext REGISTERED · WebMCP: 5 TOOLS · INDEXNOW: 145 URLs · Bing NOTIFIED · [MANAGED AGENTS] Lead Researcher · AgentReady Auditor · SEO Writer · Weekly Reporter · Claude Sonnet 4.6 · Cloud containers · Outcome-based grading · Multi-agent orchestration ·