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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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