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Person Schema for AI Citations
Specification for Person schema markup: sameAs to Wikidata and ORCID, jobTitle, affiliation, knowsAbout, and AI entity resolution behavior for E-E-A-T.
QAPage Schema for AI Citations
Specification for QAPage schema markup on community Q&A sites: required properties, suggestedAnswer with author, vote counts, and AI citation behavior.
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.
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.
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.
Service Schema for AI Search
Schema.org Service spec for AI search citations: required JSON-LD properties, areaServed, provider, serviceType, hoursAvailable, and entity-linking patterns.
Service Worker and AI Crawlers Spec: Cache, Routing, Bypass
Specification for service-worker behavior under AI crawler traffic: cache-first vs network-first routing, crawler-aware bypass paths, and offline-fallback contracts that preserve indexable HTML.
Sitemap-Index Patterns for AI Search
Sitemap-index spec for AI search: 50K URL limits, partitioning by content type, lastmod accuracy, news/image/video sub-sitemaps, and AI-crawler ping behavior.
SoftwareApplication Schema for AI Search
SoftwareApplication schema specification for AI search: required fields, AggregateRating + Offer nesting, screenshots, and ChatGPT/Perplexity extraction patterns.
SoftwareApplication Schema for AI Citations
Specification for SoftwareApplication schema markup: applicationCategory, operatingSystem, offers, AggregateRating, and AI citation patterns for shopping queries like 'best CRM for'.
What Is Knowledge Graph Grounding
Knowledge graph grounding ties LLM answers to structured entities and relations from sources like Google Knowledge Graph and Wikidata so facts can be verified, disambiguated, and cited.