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.
Engagement Packages
Three tiers — from a standalone diagnostic to a full authority network build. The Starter audit is available immediately. Growth and Authority are ongoing implementation and operations engagements — not one-time projects. They begin after the initial audit establishes a baseline and continue until measurable retrieval improvement is achieved and compounding.
Starter
AI Visibility Audit
$2,499
A full-site AI Visibility audit conducted across your entire domain — not just your homepage. Every indexed page, every schema declaration, every external signal surface evaluated against the 50-point framework. Your audit report is delivered within 24–48 hours.
- —Full-site schema validation across all indexed routes
- —Entity architecture assessment — name consistency, @id integrity, relationship declarations
- —Content cluster depth and internal linking analysis
- —Citation surface audit — sameAs resolution, external domain presence verified
- —AI retrieval query — your entity checked live across ChatGPT, Perplexity, and Gemini
- —Written gap analysis with prioritized course of action tailored to your domain
Growth
Audit + Architecture Design
Custom
Everything in Starter, plus Ali Morgan designs your complete AI Visibility architecture — entity registry, schema graph, content cluster strategy, and cross-domain authority plan. Your team implements. Jonomor reviews every deliverable before it goes live.
- —Full Starter audit establishing your baseline
- —Entity registry design and canonical naming governance
- —JSON-LD schema architecture for every page type
- —Topic cluster strategy — pillar, supporting articles, definitions
- —Cross-domain authority patch specifications
- —Jonomor review and approval on all implementations
Authority
Full Authority Network — Operated by Jonomor
Custom
Jonomor builds and operates your entire AI Visibility system. Entity graph, schema architecture, three topic clusters, citation surface expansion, retrieval operations, and quarterly audit cycles. You don’t manage it. We do.
- —Everything in Growth
- —Content cluster deployment — 18+ articles published
- —Citation surface expansion across all external platforms
- —Monthly retrieval operations across ChatGPT, Perplexity, Gemini, Copilot
- —Quarterly AI Visibility audits with benchmark comparison
- —AI Presence included — continuous signal automation
- —Jonomor operates as your AI Visibility function
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.