Technical Implementation · Page 6
llms.txt, ai.txt, structured data, and other technical specs for AI search readiness.
148 articles · Page 6 of 13
HTML semantic structure for AI readability: headings, lists, and tables
Reference for semantic HTML that AI systems read well: heading order, lists, tables, definition patterns, and the anti-patterns that cause AI to extract the wrong answer.
HTML Semantic Structure for AI Readability
Use HTML5 semantic elements like article, section, nav, and proper heading hierarchy to improve AI crawler extraction and citation probability.
HTTP 103 Early Hints for AI Crawlers Specification
HTTP 103 Early Hints (RFC 8297) lets origin servers send Link preload/preconnect hints to AI crawlers before the final 200, reducing TTFB on hydrated SPA pages.
HTTP Cache Headers for AI Crawlers
Reference for HTTP cache headers (ETag, Cache-Control, Last-Modified, Vary) and how AI crawlers use them for citation freshness.
HTTP Status Code Reference for AI Crawlers
HTTP status code reference for AI crawlers: how 2xx, 3xx, 4xx, 5xx codes affect GPTBot, ClaudeBot, PerplexityBot, and Googlebot indexing.
HTTP/2 vs HTTP/3 for AI Crawlers
HTTP/3 AI crawlers support is uneven: GPTBot and most AI bots still default to HTTP/2 over TCP. Compare protocols, fallback behavior, and CDN config.
Image Sitemap Specification for Multimodal AI Citations
Image sitemap specification for multimodal AI citations: image:image markup, captions, license, geo-location, and signals AI engines extract for visual search.
JavaScript SPA Hydration Patterns for AI Crawlers
JavaScript SPA hydration patterns for AI crawlers: rendering modes, mismatch fixes, and framework-specific strategies for GPTBot, ClaudeBot, PerplexityBot.
JobPosting Schema for AI Search
JobPosting JSON-LD spec for AI search and Google for Jobs: required title, hiringOrganization, jobLocation, datePosted, validThrough, baseSalary, remote work patterns.
JSON-LD for AI Search: Complete Guide
How to implement JSON-LD structured data so AI search engines and traditional search both understand your content's type, authorship, and entities.
JSON-LD Validation Pipeline Specification for AI Search
A production-grade specification for validating JSON-LD structured data in CI/CD: Schema Markup Validator, Rich Results Test, error vs warning triage, and regression alerting.
JSON-LD vs Microdata vs RDFa for AI Search: Markup Format Comparison
JSON-LD vs Microdata vs RDFa for AI search: which structured data syntax LLM crawlers parse most reliably and how each impacts citation surfacing.