Consulting — Jonomor
AI Visibility Consulting
Jonomor provides AI Visibility consulting for organizations that need to be reliably retrieved, recognized, and cited by AI answer engines — ChatGPT, Perplexity, Gemini, and Copilot.
Most AI retrieval failures are structural, not content problems. The fix is entity architecture, schema implementation, and cross-domain authority — not more publishing. Jonomor diagnoses the structural gaps and implements the changes that produce measurable retrieval improvement.
Services
- 01AI Visibility AuditScored audit report + implementation roadmap
A 50-point structured evaluation of current AI retrieval status across five categories — Entity Stability, Category Ownership, Schema Graph, Knowledge Index, and Continuous Signal Surfaces. Produces a scored diagnostic and prioritized implementation roadmap.
- 02Entity ArchitectureEntity registry + schema governance documentation
Design and implementation of the canonical entity registry — locked entity names, correct Schema.org types, stable @id values, and governance rules that prevent drift over time. The foundation every other layer depends on.
- 03Schema Graph ImplementationSchema implementation across all routes
JSON-LD structured data implementation across the full site — Organization, Person, SoftwareApplication, CreativeWork, DefinedTermSet, TechArticle, CollectionPage. Correct @graph structure, bidirectional relationships, no synthetic dates.
- 04Cross-Domain AuthorityCross-domain authority patches per product domain
Authority patch deployment across product domains — canonical schema, publisher and creator references, and ecosystem footer links that close the bidirectional authority loop between product domains and the parent organization.
- 05Retrieval OperationsRetrieval operations framework + ongoing cycle support
Ongoing measurement and reinforcement — a structured query bank, engine test matrix, retrieval scorecard, gap diagnosis protocol, and reinforcement decision tree. Turns authority architecture into a compounding retrieval system.
Who This Is For
Jonomor takes a limited number of engagements at a time. Priority is given to organizations where the AI retrieval problem is structural — entity fragmentation, absent schema, authority isolation across product domains — rather than purely content volume problems.
The organizations that benefit most are software companies whose products are not being recommended by AI systems, multi-product organizations where the parent-child entity relationship is undefined, and consultancies or research publications where category authority is the business model.
Frequently Asked Questions
- What does an AI Visibility consultant do?
- An AI Visibility consultant audits an organization's entity architecture, schema implementation, and cross-domain authority signals to identify why AI answer engines are failing to correctly retrieve or cite the organization — then designs and implements the structural changes required to produce reliable retrieval.
- How is AI Visibility consulting different from SEO consulting?
- SEO consulting focuses on ranking web pages in traditional search engines. AI Visibility consulting focuses on entity recognition and citation in AI answer engines — ChatGPT, Perplexity, Gemini, and Copilot — through entity architecture, structured data, and cross-domain authority signals.
- What types of organizations need AI Visibility consulting?
- Organizations where AI retrieval gaps are structural: software companies whose products are not being recommended by AI systems, multi-product organizations where the parent-child entity relationship is undefined, consultancies that depend on category authority, and research publications with strong content but weak entity architecture.
- What does a Jonomor engagement include?
- Engagements begin with a 50-point AI Visibility audit. From there, work covers entity registry design, JSON-LD schema implementation, cross-domain authority patches, topic cluster architecture, and a retrieval operations loop for ongoing measurement and reinforcement.