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Technical Implementation · Page 11

llms.txt, ai.txt, structured data, and other technical specs for AI search readiness.

148 articles · Page 11 of 13

referenceadvanced6 min read

Structured Data Warnings vs Errors: Which Block AI Citations?

Triage structured data warnings vs errors. Which messages from Schema.org Validator and Google Rich Results Test block AI citations and which are safe to ignore.

specificationadvanced7 min read

Subresource Integrity and AI Trust Signals

How Subresource Integrity (SRI) hashes, C2PA manifests, and HTTP signatures combine into a verifiable trust signal for AI search engines that cite your content.

specificationadvanced8 min read

TDMRep (TDM Reservation Protocol) Spec for AI Crawlers

TDMRep (W3C TDM Reservation Protocol) for AI crawlers — tdmrep.json, TDM-Reservation header, HTML meta, and CDSM Article 4 alignment.

guidebeginner7 min read

Title Tag Optimization for AI Citations and Answer Cards

How to write title tags that win AI citation cards in ChatGPT, Perplexity, and Google AI Overviews — length, brand placement, entity prominence, examples.

guideintermediate7 min read

URL Structure Best Practices for AI Search Citations

URL structure affects how AI engines parse, cite, and follow links. Best practices for slug length, depth, parameters, fragments, and stability.

specificationadvanced6 min read

Vary Header Patterns for AI Crawlers

Specification for the Vary HTTP header when serving AI crawlers across User-Agent, Accept, Accept-Encoding, and Accept-Language to avoid cache poisoning.

guideadvanced9 min read

Vector Embedding Optimization for AI Search Citations

Vector embedding optimization for AI citations: how chunking, density, and semantic clarity influence retrieval in RAG-powered LLM search engines.

specificationadvanced11 min read

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.

guideadvanced8 min read

Vector Embeddings for AI Search: How Content Becomes Retrievable

How vector embeddings power AI search retrieval, why semantic similarity drives citation odds, and what publishers can control to make content retrievable.

specificationintermediate7 min read

Video Sitemap Specification for AI Search Citations

Video sitemap specification for AI search citations: required tags, content_loc and player_loc, thumbnails, duration, and transcript pairing patterns.

specificationintermediate10 min read

VideoObject Schema for AI Search

VideoObject schema specification for AI search: required and recommended fields, Clip and SeekToAction patterns, transcript embedding, and how AI engines surface video citations.

referenceintermediate6 min read

Viewport Meta and AI Mobile Rendering

How the viewport meta tag affects mobile-first AI rendering, why misconfigurations cause silent citation losses, and the safe defaults to ship.

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