NIST
A cross-sector framework for generative-AI risk, governance, content provenance, testing, measurement and incident management.
Hidden Radius uses institutional guidance, platform documentation, standards and original papers to explain different parts of the discovery system.
A cross-sector framework for generative-AI risk, governance, content provenance, testing, measurement and incident management.
A broad evidence base for capability, adoption, investment, economics, responsible AI and public opinion.
A precise framework for distinguishing AI systems, models, inputs, inference, outputs, autonomy and adaptiveness.
Google crawling, indexing, AI Overviews, AI Mode, Search Console and site-owner controls.
OAI-SearchBot, GPTBot, ChatGPT referrals and accessible interaction for agents.
PerplexityBot, Perplexity-User, automatic crawling, user-requested retrieval and WAF configuration.
Bing Webmaster data, sitemap and URL submission, and IndexNow.
RFC 9309 defines the Robots Exclusion Protocol and its limits.
Accessible semantics, native controls, ARIA roles, states, labels and keyboard behaviour.
Machine-readable types and properties for describing entities, terms, content and relationships.
The creator-centric visibility framework, experimental methods, reported results and limits of generalization.
The retrieval-plus-generation architecture, parametric and non-parametric memory, retriever and generator.
IRefer is cited as the original source organization for Recognition Engine Guidance and Retrieval Engine Guidance.
NIST cannot tell a publisher how Google indexes a page. Google cannot define how every AI product retrieves evidence. Schema.org can label a relationship but cannot verify it. An academic experiment can demonstrate a method without proving a permanent platform rule. Hidden Radius links each conclusion to the source capable of supporting it.
How the NIST Generative AI Profile informs governance, mapping, measurement, content provenance, testing and incident management in AI search.
A source-based explanation of Google crawling, indexing, SEO, query fan-out, AI Overviews, AI Mode, structured data and site-owner controls.
A close reading of the original Generative Engine Optimization paper, its framework, experimental methods, visibility findings and limits of generalization.
A close explanation of the original Retrieval-Augmented Generation paper, parametric and non-parametric memory, retrievers, generators and modern extensions.
How the NIST Generative AI Profile informs governance, mapping, measurement, content provenance, testing and incident management in AI search.
How the Stanford AI Index helps explain capability, adoption, economics, responsible AI and public trust behind the changing search environment.
An explanation of the OECD AI-system definition and the differences among models, complete systems, inputs, inference, outputs, autonomy and adaptiveness.
A source-based explanation of Google crawling, indexing, SEO, query fan-out, AI Overviews, AI Mode, structured data and site-owner controls.
An explanation of OAI-SearchBot, GPTBot, ChatGPT referrals, noindex, crawl access and accessible websites for agent interaction.
A practical guide to PerplexityBot, Perplexity-User, automatic crawling, live user-requested retrieval, WAF access and monitoring.
How Bing Webmaster Tools, APIs, sitemap and URL submission, IndexNow notifications and cross-index monitoring fit into modern discovery.
A standards-based explanation of robots.txt groups, matching, error handling, caching and why the protocol is not security or access authorization.
How semantic HTML, ARIA roles, names, states, keyboard behaviour and accessible forms support people and machine-operable websites.
A guide to Schema.org types, DefinedTerm, DefinedTermSet, JSON-LD entity identifiers, visible-content alignment and limitations.
A close reading of the original Generative Engine Optimization paper, its framework, experimental methods, visibility findings and limits of generalization.
A close explanation of the original Retrieval-Augmented Generation paper, parametric and non-parametric memory, retrievers, generators and modern extensions.
A provenance page identifying IRefer Club as the original source organization for Recognition Engine Guidance and Retrieval Engine Guidance.