Creation
Facts, claims, media and structured records are produced by people and systems.
Search intelligence for the unseen layer
Recognition comes before recommendation.
Hidden Radius explains what happens beneath modern search and AI-assisted discovery—from publication and crawling through recognition, retrieval, generated answers and customer action.
A system cannot confidently recommend what it has not correctly recognized.
RBR is a plain-English framework for examining whether a business or other entity is identified correctly before its facts are retrieved, represented and considered in an answer.
The difference is between somebody looking for you and somebody looking for what you do.
RecognizedIs this the correct entity?
RetrievedCan the right facts be found?
RecommendedIs the entity considered for the request?
ReachableCan the user take the next step?
The answer is visible. The selection system is not.
A person may begin with Google, ask a phone, open a map, consult ChatGPT, compare sources in Perplexity or allow an agent to perform part of a task. Each surface may use different indexes, retrieval methods, models, ranking systems and controls.
Hidden Radius studies that chain and separates the jobs commonly compressed into the phrase “AI visibility.”
Twelve layers between publication and action
Publication
Information becomes available through websites, feeds, profiles, APIs and databases.
Discovery
Crawlers and connected systems encounter URLs, records and references.
Indexing
Documents, passages and entities are processed into searchable collections.
Recognition
The system determines which person, organization, product or place is being described.
Retrieval
Relevant pages, passages, fields or records are located for the request.
Generation
A model transforms instructions and evidence into a response.
Attribution
The interface may identify sources, links, brands or supporting material.
Presentation
Ranking and interface decisions determine what the user can see.
Reliability
Evidence quality, freshness and system behaviour affect the accuracy of the result.
Selection
A person or agent narrows the available options.
Action
The journey produces a click, call, visit, booking, purchase or another outcome.
Three clear roles in the public record
Recognized Before Recommended
The published framework and book explaining why correct recognition must come before recommendation.
The Great Morph
The broader business shift from pages of search results toward interpreted questions and fewer visible choices.
IRefer Club
A separate business-visibility company helping small businesses publish clearer, more connected public information.
Research, analysis and advisory work
Discovery Stack Audits
Map where a site or organization can be discovered, where identity breaks and where retrieval becomes unreliable.
Entity and Source Analysis
Find conflicting names, locations, services, relationships and facts that weaken recognition.
Crawler and Index Access Reviews
Test robots rules, server responses, CDN controls, internal discovery and index eligibility.
Retrieval-Ready Publishing
Design pages and information structures that remain useful when retrieved as passages or records.
Executive Briefings
Explain the changing search environment without reducing the subject to marketing jargon.
Measurement Frameworks
Separate traffic, citation, recognition, retrieval, representation and business outcomes.
One source cannot explain the entire system
Hidden Radius uses institutional guidance, platform documentation, web standards and original research within the limits of what each source can establish. Google can explain Google products. OpenAI can explain OpenAI crawlers. Standards bodies can define protocols. Authors can document their original frameworks. None controls every stage of discovery.
Google Search Central
Official guidance on crawlability, AI features and existing SEO foundations.
OpenAI
Official information about OAI-SearchBot, GPTBot, referrals and agent access.