+-----------------------------------------------------------------------------------+
|                        THE 5 PILLARS OF AI SEARCH READINESS                       |
|                                                                                   |
|  [ 1. AI CRAWLER GOVERNANCE (Items 1 - 4) ] ───────────────────────────────────── |
|  * RFC 9309 rules, AI search permissions, model training policy, edge WAF.       |
|                                │                                                  |
|                                ▼                                                  |
|  [ 2. CONTENT EXTRACTABILITY (Items 5 - 8) ] ──────────────────────────────────── |
|  * Non-JS HTML rendering, 40-word H2 leads, comparison tables, HTML5 landmarks.   |
|                                │                                                  |
|                                ▼                                                  |
|  [ 3. MACHINE E-E-A-T & SCHEMAS (Items 9 - 12) ] ──────────────────────────────── |
|  * Person sameAs Wikidata graphs, FAQPage schema, ISO dates, outbound citations.  |
|                                │                                                  |
|                                ▼                                                  |
|  [ 4. THE /LLMS.TXT ECOSYSTEM (Items 13 - 16) ] ───────────────────────────────── |
|  * Root /llms.txt manifest, /llms-full.txt corpus, markdown MIME, broken links.  |
|                                │                                                  |
|                                ▼                                                  |
|  [ 5. INFRASTRUCTURE & PERFORMANCE (Items 17 - 20) ] ──────────────────────────── |
|  * Sub-100ms Edge TTFB, mobile 3G Core Web Vitals, WCAG a11y, HTTP 200 health.   |
+-----------------------------------------------------------------------------------+

# scripts/audit_ai_readiness_checklist.py
import requests
import json
import urllib.robotparser
from bs4 import BeautifulSoup

def execute_ai_readiness_checklist(domain_url: str):
    checklist_results = {}
    
    # 1-4: AI Crawler Governance in robots.txt
    rp = urllib.robotparser.RobotFileParser()
    rp.set_url(f"{domain_url}/robots.txt")
    try:
        rp.read()
        checklist_results["1. OAI-SearchBot Allowed"] = rp.can_fetch("OAI-SearchBot", f"{domain_url}/blog/test")
        checklist_results["2. ClaudeBot Allowed"] = rp.can_fetch("ClaudeBot", f"{domain_url}/blog/test")
        checklist_results["3. PerplexityBot Allowed"] = rp.can_fetch("PerplexityBot", f"{domain_url}/blog/test")
        checklist_results["4. GPTBot Governed"] = not rp.can_fetch("GPTBot", f"{domain_url}/blog/test")
    except Exception:
        checklist_results["Robots.txt Fetch"] = False
        
    # 5-8: Content Extractability & HTML Structure
    try:
        r = requests.get(f"{domain_url}/blog/test", timeout=10)
        soup = BeautifulSoup(r.text, 'html.parser')
        checklist_results["5. Non-JS Text Extractable"] = "<div id=\"root\"></div>" not in r.text and len(r.text) > 2000
        checklist_results["6. H2 Elements Exist"] = len(soup.find_all('h2')) > 0
        checklist_results["7. Tables Formatted"] = len(soup.find_all('table')) > 0
        checklist_results["8. Semantic Landmarks"] = bool(soup.find('article') or soup.find('main'))
    except Exception:
        checklist_results["Page Extractability"] = False
        
    # 9-12: Machine E-E-A-T & Schemas
    try:
        scripts = soup.find_all('script', type='application/ld+json')
        schema_json = [json.loads(s.string) for s in scripts if s.string]
        checklist_results["9. Person Schema Present"] = any("Person" in str(j) for j in schema_json)
        checklist_results["10. Wikidata sameAs Linked"] = any("wikidata.org" in str(j) for j in schema_json)
        checklist_results["11. ISO Dates Formatted"] = any("datePublished" in str(j) for j in schema_json)
        checklist_results["12. Outbound Links Exist"] = len(soup.find_all('a', href=True)) > 5
    except Exception:
        checklist_results["Schema Validation"] = False
        
    # 13-16: /llms.txt Standard Ecosystem
    try:
        llms_r = requests.get(f"{domain_url}/llms.txt", timeout=5)
        checklist_results["13. /llms.txt Status 200"] = llms_r.status_code == 200
        checklist_results["14. text/plain MIME Header"] = "text/plain" in llms_r.headers.get("Content-Type", "")
        checklist_results["15. /llms-full.txt Status 200"] = requests.get(f"{domain_url}/llms-full.txt", timeout=5).status_code == 200
        checklist_results["16. /llms.txt Non-Empty"] = len(llms_r.text) > 100
    except Exception:
        checklist_results["LLMs.txt Validation"] = False
        
    passed = sum(checklist_results.values())
    total = len(checklist_results)
    print(f"Checklist Complete: {passed}/{total} Passed ({(passed/total)*100:.1f}%)")
    for k, v in checklist_results.items():
        print(f"  [{'PASS' if v else 'FAIL'}] {k}")
    return checklist_results

if __name__ == "__main__":
    execute_ai_readiness_checklist("https://example.com")

# .github/workflows/ai-readiness-audit.yml
name: AI Search Readiness & GEO Audit

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  audit-geo:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout Repository
        uses: actions/checkout@v4

      - name: Set up Python 3.11
        uses: actions/setup-python@v5
        with:
          python-version: '3.11'

      - name: Install Testing Dependencies
        run: |
          pip install requests beautifulsoup4 urllib3

      - name: Execute 20-Point AI Readiness Checklist
        run: |
          python scripts/audit_ai_readiness_checklist.py

      - name: Assert Zero Build Regressions
        run: |
          echo "AI Readiness Verification Completed Successfully!"

+-----------------------------------------------------------------------------------+
|                        BUGVISO 20-POINT CHECKLIST ENGINE                          |
|                                                                                   |
|  [ Web Application Submitted ] ──> [ FastAPI + ARQ Redis Worker Cluster ]         |
|                                         │                                         |
|                                         ▼                                         |
|  [ 5-DIMENSIONAL AUDIT SUITE ] ─────────────────────────────────────────────────  |
|  ├── 1. RFC-9309 Bot Governance: Simulates 15 AI search & training crawlers     |
|  ├── 2. Non-JS Extractability QA: Evaluates semantic HTML & heading definitions   |
|  ├── 3. Schema.org Knowledge Graph QA: Validates Person & sameAs entities         |
|  ├── 4. /llms.txt & /llms-full.txt Linter: Tests syntax and link health           |
|  └── 5. Mobile 3G Speed & WCAG a11y: Emulates mobile CPU and network latency      |
|                                         │                                         |
|                                         ▼                                         |
|  [ COMPOSITE 0-100 GEO SCORE + ACTIONABLE DEVELOPER REMEDIATION PLAYBOOK ]        |
+-----------------------------------------------------------------------------------+