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AI + Google Ready Website - Master Checklist (2026)

1. Core Tech Stack

  • HTTP/2 + HTTP/3 (QUIC)
  • TLS 1.3 + OCSP stapling
  • TTFB < 200 ms
  • Full page cache
  • Object cache
  • Edge cache (Cloudflare / Bunny / Fastly)
  • Zero downtime deploys
  • Stable uptime (99.9%+)

2. Frontend (AI-Readable)

  • Semantic HTML5 (header, main, article, section, nav)
  • Clean DOM (low depth)
  • Minimal JS (no render blocking)
  • CSS architecture (BEM / utility / variables)
  • Predictable layout (definitions top, FAQ bottom)
  • No UI noise (popups, autoplay, walls)

3. Backend

  • PHP 8.3+ / Node / Go (stable)
  • Stateless architecture
  • Clean URLs
  • Strict security headers
  • JSON-first mindset
  • Versioned endpoints

4. Technical SEO

  • robots.txt (custom, not default)
  • XML sitemaps: pages, images, videos, news (if relevant)
  • Canonical tags (no duplicates)
  • No orphan pages
  • Correct hreflang
  • Core Web Vitals: LCP < 2.5s, INP < 200ms, CLS < 0.1

5. Entity Engineering (Not Classic SEO)

  • Clear entity definition
  • Organization / Person schema
  • sameAs (socials, GitHub, Discord)
  • Entity verification page (/about/entity)
  • Stable naming everywhere
  • One brand = one meaning

6. Structured Data (JSON-LD)

  • WebSite
  • Organization / Person
  • Article / BlogPosting
  • BreadcrumbList
  • FAQPage
  • HowTo
  • Product / SoftwareApplication
  • Game / VideoGame / Server
  • inLanguage
  • audience
  • version / dateModified

7. Content AI Can Cite

  • Author entity (bio + socials)
  • Fact-first paragraphs
  • Explicit definitions
  • Sources and references
  • Versioning and changelog
  • Last reviewed date
  • No clickbait
  • No PR tone
  • No affiliate noise

8. E-E-A-T (Real)

  • Experience (real usage, screenshots)
  • Expertise (technical accuracy)
  • Authority (mentions over links)
  • Trust (HTTPS, contact, legal, transparency)

9. AI-Friendly Content Layer

  • "In short" sections
  • Answer blocks
  • TL;DR
  • Tables and lists
  • Citable paragraphs
  • One intent per page
  • Explicit boundaries (what this is / is not)

10. Machine-Readable Layer

  • Public JSON endpoints: /ai/summary.json, /ai/facts.json, /ai/faq.json
  • Structured facts
  • No metaphors
  • Stable keys

11. AI Metadata (Experimental)

  • ai:intent
  • ai:confidence
  • ai:update-cycle
  • usageInfo
  • audience

12. AI Crawler Control

  • Smart robots.txt (allow /ai/, /docs/)
  • X-Robots-Tag for AI
  • No blanket blocking
  • Clear crawl rules

13. Multi-Language Consistency

  • No auto-translate
  • Same structure across languages
  • Same entities
  • Language-specific facts
  • Correct hreflang and schema

14. Temporal Trust Signals

  • Stable URLs
  • Long-lived pages
  • Regular updates
  • Historical changelogs
  • Content longevity

15. Entity Graph Density

  • Strong internal linking
  • Hierarchical topics
  • Glossary
  • Reference pages
  • Documentation sections

16. Failure and Transparency

  • Known issues
  • Limitations
  • Deprecated features
  • Explained 404s
  • Honest error pages

17. Silent Authority Signals

  • Consistent terminology
  • No oversimplification
  • Assumed reader competence
  • Neutral tone
  • No hype language

18. Non-Performative Content

  • Pages that explain, define, and document
  • No selling
  • No CTAs
  • Pure facts

19. AI Feedback Loop

  • Track AI referrals
  • Track cited pages
  • Optimize for real questions
  • Expand answers AI already uses

20. Experimental / Edge

  • llms.txt
  • Knowledge isolation (/docs, /reference)
  • Entity aliases mapping
  • Stable anchor terms
  • Intent purity enforcement

21. Extra AI Signals People Forget

  • URL stability over years
  • Identical facts across formats (HTML / JSON / Schema)
  • Absence of contradictions
  • Consistent writing style (linguistic fingerprint)
  • No content cannibalization
  • No mixed intent pages
  • Predictable information placement
  • Low ad density or none
  • Clear ownership and accountability
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