The NYMA Process

From Invisible to Cited: How NYMA Gets Your Practice Into AI Answers

A five-phase system built specifically for healthcare practices — not adapted from a generic marketing template.

Every NYMA engagement follows the same proven sequence: audit your current AI visibility, build the technical foundation, restructure your content for extraction, synchronize your data network, and report on citation performance every month. Here is exactly what that looks like.

30 days
to first AI citations after NYMA onboarding
4.1×
average new-patient inquiry lift within 90 days
80+
directories and data sources synchronized per practice
5
AI platforms monitored and optimized simultaneously
The Five Phases

What NYMA Does, Step by Step

Five interconnected phases that transform your practice from invisible in AI answers to consistently cited across every major platform.

Week 1
Phase 01

AI Visibility Audit

We run your practice through ChatGPT, Gemini, Perplexity, Copilot, and Claude — testing 40+ patient queries across your specialty and geography. You receive a full citation gap report: where you appear, where you don't, and exactly why.

  • Citation gap report across 5 AI platforms
  • 40+ patient query test results
  • Competitor citation analysis
  • Priority fix list ranked by patient query volume
Week 2
Phase 02

Schema Architecture

Deep medical schema deployment across every key page — MedicalOrganization, Physician, MedicalCondition, MedicalProcedure, FAQPage, and LocalBusiness. Structured so AI engines can parse, trust, and cite your practice with confidence.

  • Full medical schema implementation
  • Physician credential markup
  • Condition & treatment entity tagging
  • Schema validation & testing
Weeks 2–3
Phase 03

Answer-First Content

Your pages are restructured with answer-first formatting — direct responses to the exact questions patients ask AI assistants. Semantic entity clusters, condition-treatment-outcome blocks, and FAQ sections written in the format LLMs extract verbatim.

  • Answer-first page restructuring
  • Patient FAQ content (10–20 questions)
  • Condition & treatment content blocks
  • Semantic entity optimization
Week 3
Phase 04

Data Consistency Network

Practice NAP data, physician credentials, and specialty information synchronized across 80+ directories, health data sources, and citation networks that AI engines train on. Inconsistent data is the #1 reason AI engines skip a practice.

  • 80+ directory synchronization
  • Physician credential verification
  • NAP consistency audit & fix
  • Health data source submissions
Ongoing
Phase 05

Monthly Reporting & Optimization

Every month you receive a full AI citation report — which platforms cite you, for which patient queries, citation frequency trends, and competitive gap analysis. We continuously refine content and schema based on what's working.

  • Monthly AI citation report
  • Platform-by-platform citation breakdown
  • Query-level performance data
  • Continuous content & schema refinement
The Timeline

What to Expect, Week by Week

A realistic timeline from onboarding to measurable citation lift — no vague promises, no hidden phases.

Timeframe
Milestone
What Happens
Week 1
Onboarding & AI Audit
Practice intake, AI visibility audit across 5 platforms, citation gap report delivered
Week 2
Schema & Content Build
Medical schema deployed, answer-first content restructuring begins, FAQ content written
Week 3
Data Network Sync
80+ directory submissions, NAP consistency fixes, physician credential verification
Week 4
Launch & First Monitoring
All changes live, first citation monitoring cycle begins, baseline metrics established
Day 30–45
First Citations Appear
AI engines begin indexing restructured content, first citations typically appear
Day 60–90
Citation Velocity Builds
Full citation velocity across platforms, measurable inquiry lift, first monthly report
Why NYMA

What Makes This Different

Most marketing agencies offer SEO with an "AI layer" bolted on. NYMA was built from the ground up for the AI search era — exclusively for healthcare.

Healthcare-Only Focus

We work exclusively with healthcare practices. Every schema template, content framework, and citation strategy is built for medical providers — not adapted from a generic marketing playbook.

Platform-Specific Optimization

ChatGPT, Gemini, Perplexity, Copilot, and Claude each have different content extraction patterns. We optimize for all five simultaneously — not just one.

Full Transparency

You see exactly which AI engines cite you, for which patient queries, and how citation volume trends month over month. No black-box reporting.

AEO + GEO Combined

Most agencies do one or the other. NYMA delivers both Answer Engine Optimization (strategy) and Generative Engine Optimization (technical architecture) as a unified system.

Common Questions

Process Questions, Answered Directly

Ready to Start?

See Exactly Where Your Practice Stands in AI Search — Free

Our free AI audit tests your practice across ChatGPT, Gemini, and Perplexity — showing you which patient queries you appear in, which you don't, and the specific changes that will get you cited.