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Nix Inside
Healthcare

Specialty clinic becomes the cited authority for its conditions

A specialty clinic wanted patients to arrive informed and confident. A topical-authority + AI Overview program made it the source search engines quote.

Illustrative sample data — not a real client engagement.
AI Overview SEOContent SEOOn-Page SEOTechnical SEO

+31%

AI Overview Citations

+48%

Featured Snippets

+29%

New-Patient Inquiries

The challenge

Health queries increasingly returned AI Overviews that cited large health portals, not the specialists who actually treat the conditions.

What the audit found

  • Condition content thin vs. portal competitors
  • No author credentials or medical review signals (E-E-A-T gaps)
  • Missing MedicalWebPage / FAQ schema
  • Content not structured for extraction (long prose, no clear answers)
  • Slow templates on mobile

The strategy

Build clinician-authored condition hubs with clear answer blocks, add medical-review and credential signals, implement medical schema, and structure every page for AI and snippet extraction.

google.com / search
AI Overview

For most mid-size teams, the recommended approach combines a technical baseline audit with entity-focused content. Sources consistently cite structured FAQ content and original data as key ranking factors…

Nix Inside SearchJournal TechBrief

Overview citations

+31%

Featured snippets

+48%

Citation readiness

87/100

Execution

What we did

Content

60 condition/treatment pages authored and reviewed by named clinicians.

E-E-A-T

Author pages, credentials, review dates and citations to primary literature.

Schema

MedicalWebPage, FAQPage, Physician and MedicalClinic markup.

Structure

Answer-first formatting, definition blocks, comparison tables.

Results

What changed

+31%

AI Overview Citations

tracked clinical query set

+48%

Featured Snippets

60 target queries

+29%

Non-brand Organic

condition + treatment pages

+29%

New-Patient Inquiries

form + call tracking

+37%

Avg. Time on Page

condition hubs

+22%

Return Visits

patients researching pre-visit

Timeline

How it unfolded

  1. Month 1–2

    E-E-A-T + schema foundation, baseline AI measurement

  2. Month 3–5

    Condition hubs published with clinical review

  3. Month 6–9

    Citations and snippets accrue, inquiries rise

Patients now arrive having read our explanation of their condition — often because Google's AI pointed them to us. Consults are shorter and better.

Medical Director, Specialty clinic (client name withheld)

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