Technical Implementation · Page 9
llms.txt, ai.txt, structured data, and other technical specs for AI search readiness.
148 articles · Page 9 of 13
Quotation Schema for AI Citation Extraction
schema.org Quotation type spec for marking quoted content with author and source for AI engines—properties, nesting, and citation extraction patterns.
RAG chunking strategies compared: fixed, semantic, and hybrid chunking
Fixed-size, semantic, and hybrid chunking for RAG compared: how they work, when to use each, and how to evaluate retrieval quality.
RAG failure modes: diagnosis checklist and mitigation map
Diagnostic checklist for the seven core RAG failure modes—retrieval miss, stale sources, hallucination, citation mismatch—with a mitigation map for each layer.
RDFa for AI Search
Specification for RDFa and RDFa Lite annotations for AI search: embedding patterns, AI crawler parser support, niche use cases, and migration paths to JSON-LD.
Recipe FAQ Pairs Schema for AI Search
Specification for pairing Recipe and FAQPage JSON-LD schema on a single page so AI Overviews and Perplexity cite both the recipe and its Q&A pairs.
Recipe Schema Specification for AI Search Citations
Recipe schema specification for AI search engines: required Google fields, full JSON-LD with HowToStep and NutritionInformation, and how multimodal AI extracts recipe citations.
Retry-After and Rate Limit Headers for AI Crawlers
Specification for Retry-After and RateLimit- headers that throttle GPTBot, ClaudeBot, and PerplexityBot politely while preserving AI search citation eligibility.
Review Schema for AI Citations
Review schema spec for AI shopping citations: required Review and AggregateRating fields, anti-spam policy, and validation for ChatGPT, Perplexity, and Google.
Robots.txt for AI Crawlers: Specification & Configuration
Complete robots.txt spec for AI crawlers: GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot directives, syntax rules, and validation pipeline.
robots.txt for AI Crawlers
How to configure robots.txt to control AI crawlers — GPTBot, PerplexityBot, Google-Extended, ClaudeBot, Applebot-Extended, and the rest — across training and retrieval use cases.
Article Schema Markup Checklist for AI Search Engines
Article schema markup checklist for AI search: 30 fields LLM crawlers consume to surface citations on ChatGPT, Perplexity, and AI Overviews.
Schema Markup Tier Framework for AI Search: Foundation, Citation, and Supporting Layers
A three-tier framework — foundation, citation, and supporting — for prioritizing JSON-LD schema markup that earns AI search citations.