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HowTo Schema Specification for AI Search
HowTo schema specification for AI search: required and recommended fields, step markup patterns, image rules, post-deprecation usage, and validator quirks.
Hreflang for Multi-Language AI Citations
Specification for hreflang annotations across HTML, sitemap, and HTTP-header methods, with guidance on AI citation behavior across query languages.
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.
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.
Link rel=preconnect & dns-prefetch for AI crawlers
How preconnect and dns-prefetch link hints reduce AI crawler latency for asset fetches, third-party endpoints, and citation extraction.
LocalBusiness Schema for AI Citations
LocalBusiness JSON-LD spec for AI citations: required NAP fields, openingHoursSpecification, geo, sub-types, sameAs, and AI local-intent citation patterns.
Prefetch and Prerender Hints for AI Search Crawlers
How to use rel=prefetch, rel=prerender, and the Speculation Rules API with AI search crawlers like OAI-SearchBot and GoogleOther — what works, what they ignore.
Product Schema Markup Specification for AI Shopping Citations
Product schema specification for AI shopping citations: required and recommended fields, Offer/AggregateRating, GTIN/MPN, multi-variant patterns, and validator rules.
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.
Sitemap optimization for AI crawlers: rules, exclusions, and freshness signals
Optimize XML sitemaps for AI crawlers: URL selection rules, exclusions, lastmod freshness signals, and how to map your sitemap to llms.txt for higher cite-rate.
Vector Embedding Optimization Specification for GEO: Writing Content That Survives Semantic Retrieval
Writer-facing specification for vector embedding optimization: chunkable structures, anchor sentences, and metadata enrichment that survive RAG retrieval and dense vector search.
AI Prompt Testing Platforms 2026: Promptfoo vs LangSmith vs Humanloop for GEO Workflows
Compare Promptfoo, LangSmith, and Humanloop for AI prompt testing in 2026: features, pricing, and fit for GEO citation evaluation workflows.