Primary sources, interpreted in context

Research Library

Hidden Radius uses institutional guidance, platform documentation, standards and original papers to explain different parts of the discovery system.

Published 2026-07-22Last reviewed 2026-07-22Primary-source analysis
Institutional research

Capability, risk and definitions

NIST

A cross-sector framework for generative-AI risk, governance, content provenance, testing, measurement and incident management.

Stanford AI Index

A broad evidence base for capability, adoption, investment, economics, responsible AI and public opinion.

OECD

A precise framework for distinguishing AI systems, models, inputs, inference, outputs, autonomy and adaptiveness.

Platform documentation

The source for claims about each product

Google Search Central

Google crawling, indexing, AI Overviews, AI Mode, Search Console and site-owner controls.

OpenAI

OAI-SearchBot, GPTBot, ChatGPT referrals and accessible interaction for agents.

Perplexity

PerplexityBot, Perplexity-User, automatic crawling, user-requested retrieval and WAF configuration.

Microsoft and Bing

Bing Webmaster data, sitemap and URL submission, and IndexNow.

Standards and vocabularies

The web layer beneath products

IETF

RFC 9309 defines the Robots Exclusion Protocol and its limits.

W3C

Accessible semantics, native controls, ARIA roles, states, labels and keyboard behaviour.

Schema.org

Machine-readable types and properties for describing entities, terms, content and relationships.

Original research

Read the claim at the scope it was tested

Original GEO Paper

The creator-centric visibility framework, experimental methods, reported results and limits of generalization.

Original RAG Paper

The retrieval-plus-generation architecture, parametric and non-parametric memory, retriever and generator.

REG Origin

IRefer is cited as the original source organization for Recognition Engine Guidance and Retrieval Engine Guidance.

Research rule

No authority explains the entire stack

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.

Related reading

Continue through the discovery stack

NIST Generative AI Risk Framework

How the NIST Generative AI Profile informs governance, mapping, measurement, content provenance, testing and incident management in AI search.

Open the individual analyses

Authority and research pages

NIST Generative AI Risk Framework

How the NIST Generative AI Profile informs governance, mapping, measurement, content provenance, testing and incident management in AI search.

OECD Definition of an AI System

An explanation of the OECD AI-system definition and the differences among models, complete systems, inputs, inference, outputs, autonomy and adaptiveness.

IETF RFC 9309 and robots.txt

A standards-based explanation of robots.txt groups, matching, error handling, caching and why the protocol is not security or access authorization.