Jonomor — Articles
Articles
Authority articles on Answer Engine Optimization, entity architecture, structured data, and AI Visibility. Written by Ali Morgan and published by Jonomor.
Published
- PillarAEO FoundationsWhat Is Answer Engine Optimization?Answer Engine Optimization (AEO) is the practice of structuring a business's digital presence so that AI systems consistently retrieve, cite, and surface that business in AI-generated answers. The foundational guide to AEO.AEOEntity StabilityCategory Ownership
- AEO FoundationsEntity Graphs Explained for Business OwnersWhat entity graphs are, how they work, and why they determine whether AI systems can recognize and cite a business — explained without assuming technical knowledge.Entity ArchitectureSchema Graph
- PillarSchema & Structured DataJSON-LD Schema for AI Visibility — Complete GuideA comprehensive, practical guide to implementing JSON-LD structured data for AI Visibility — covering Organization, Person, SoftwareApplication, TechArticle, and FAQPage schema with real implementation examples.Schema GraphStructured Data
- PillarReal-Time InfrastructureWhat Is Real-Time Infrastructure Intelligence?Real-time infrastructure intelligence is the practice of monitoring, interpreting, and acting on operational signals from technical systems as they occur — covering monitoring, observability, alerting, and operational reliability.InfrastructureReal-Time Systems
- Measurement & AuditingHow to Audit Your AI VisibilityA practical guide to evaluating your current AI Visibility using the Jonomor 50-point audit framework — covering entity clarity, topic authority, structured data, internal linking, and citation presence.AuditReference Surfaces
- AI Visibility EvidenceWhat Happens When You Ask ChatGPT About a Company Built for AI VisibilityA real LLM retrieval arc — from zero recognition to "ahead of his time" — using only public-facing pages and PDF audit reports. This is the AI Visibility framework running live.AI VisibilityRetrievalCase Study
- AEO FoundationsHow AI Answer Engines Retrieve InformationHow ChatGPT, Perplexity, Gemini, and Google AI Overviews decide which entities to retrieve and cite — and why businesses optimized for search engines can be invisible to AI answer engines.AI RetrievalEntity Architecture
- PillarAEO FoundationsThe Difference Between SEO, AEO, and GEOSEO optimizes for rankings. AEO optimizes for being the answer. GEO optimizes for being cited in generated responses. Why these are not interchangeable.SEOAEOGEOComparison
- PillarSchema & Structured DataOrganization Schema — How to Define Your Business EntityA complete guide to implementing Organization schema for AI Visibility — covering @type, @id, name, founder, sameAs, hasPart, and bidirectional relationships.Schema GraphStructured DataOrganization
- Schema & Structured DataPerson Schema for Founders and OperatorsHow to implement Person schema that connects a founder’s identity to every product, article, and entity in their ecosystem.Schema GraphPersonAttribution
- PillarAI Visibility FrameworkThe Authority Flywheel — Building Compounding AI VisibilityThe Jonomor Authority Flywheel: a six-stage compounding loop where entity definition, topic clusters, structured data, citation surfaces, AI retrieval, and reinforcement build on each other.AI VisibilityFrameworkAuthority