Home / AI Search Publishing and Technical Implementation Playbook | Hidden Radius
Editorial and technical work in one sequenceThe Hidden Radius Implementation Playbook
A practical workflow for building public information that is accessible, identifiable, retrievable, reliable and useful without creating machine-first filler.
Published 2026-07-22Last reviewed 2026-07-22Primary-source analysis
Phase 1Define ownership and the canonical entity
- Identify the organization, products, people, locations and relationships the site is responsible for describing.
- Choose the official current name, canonical domain and preferred contact routes.
- Document legitimate alternate names, historical names and parent-brand relationships.
- Assign a person or team responsible for changing facts and public corrections.
Phase 2Build an evidence inventory
List the pages, profiles, reports, policies, datasets, feeds and external records that search or AI systems may encounter. Mark each source by owner, freshness, authority, sensitivity and whether it is intended to be public.
The inventory reveals conflicts before more content is added.
Phase 3Map real questions to substantial pages
- Definitions and background questions.
- Comparisons and selection questions.
- Local, service-area and availability questions.
- Product, compatibility and policy questions.
- Trust, qualification and evidence questions.
- Action questions such as booking, buying, applying or contacting.
Phase 4Write sections that survive retrieval
- Use a heading that names the subject or question.
- Answer directly before adding history or promotion.
- Keep dates, locations, entities and limitations close to the claim.
- Add original evidence, examples or analysis where the site has something to contribute.
- Link once to the strongest primary source for externally derived claims.
- End with the next useful action or related page.
Phase 5Build technical discovery
Responses
Return HTTPS pages with successful status codes and no unnecessary challenge.
Links
Use normal anchor links to connect important pages.
Canonicalization
Select the intended version and redirect retired locations.
robots.txt
Communicate open or restricted crawl policy to compliant bots.
Sitemaps
List canonical pages and accurate modification dates.
Index tools
Verify the site with Google and Bing and inspect important URLs.
Phase 6Add machine-readable descriptions
Use JSON-LD to describe the visible organization, article, service, glossary, FAQ or other page type. Connect stable entities with consistent @id values. Validate the syntax and avoid properties the page does not support.
Machine-readable files such as llms.txt can supplement the site, but they do not replace normal pages or platform-specific requirements.
Phase 7Prepare interactive pages for agents and people
- Use native controls and associated labels.
- Provide accessible names, states and error messages.
- Make price, scope, policy and consequence visible before confirmation.
- Protect sensitive actions through authentication and permissions.
- Return a clear success state and recovery path.
Phase 8Publish, notify and monitor
- Deploy and test from outside the hosting account.
- Submit sitemaps and use IndexNow for meaningful changes where supported.
- Review server logs, index tools, referral analytics and public answers.
- Compare generated claims with cited sources.
- Record changes and repeat observations over time.
- Update the evidence and the machine-readable representation together.
The editorial standardDo not create a page only because a keyword exists
A page deserves a URL when it provides a distinct, complete reason to visit.A large knowledge site can be useful when each page has a defined question, original interpretation and clear source trail. Quantity without distinction creates a larger maintenance problem, not authority.
Source trailPrimary material behind this analysis
Google's Guide to Optimizing for Generative AI Features on Search
Official guidance on SEO, crawlability, original content, local details and generative Search.
Open the original source at Google Search Central →
AI Features and Your Website
Official explanation of AI Overviews, AI Mode, query fan-out, eligibility and controls.
Open the original source at Google Search Central →
RFC 9309: Robots Exclusion Protocol
The standards-track specification for robots.txt parsing, matching, errors and caching.
Open the original source at IETF / RFC Editor →
ARIA Authoring Practices Guide
Patterns for accessible names, roles, states, landmarks, controls and keyboard operation.
Open the original source at W3C Web Accessibility Initiative →
Schema.org DefinedTerm and Vocabulary Documentation
Vocabulary for describing terms, organizations, people, creative works and relationships.
Open the original source at Schema.org →
Related readingContinue through the discovery stack
A technical guide to discovery, crawler access, robots.txt, infrastructure blocks, directives, canonical URLs, sitemaps and indexing.
A rigorous guide to JSON-LD, Schema.org, visible-content alignment, entity identifiers and the real role of structured data in search and AI discovery.
A combined editorial and technical playbook for identity, evidence, substantial pages, retrieval-ready sections, crawling, structured data, agents and monitoring.
The Hidden Radius methodology for tracing outcomes through publication, crawling, indexing, recognition, retrieval, generation, reliability and action.