How a medical information platform eliminated compliance gaps and saw a 52% jump in rich result appearances — and began appearing in AI health query answers.
Healthcare · Medical Information Platform · 75-Day Engagement
NovaMed Health had built a respected library of physician-authored medical content with over 3,000 articles reviewed by licensed clinicians. Their Google rankings were strong for informational health queries. But when patients searched for health information through AI systems, NovaMed was rarely mentioned — despite their clinical credibility far outpacing what was being cited.
Seraph's audit identified the root cause immediately. Healthcare content carries unique AI visibility requirements: MedicalWebPage schema, author credential markup, and HowTo/FAQ structures for clinical guidance. NovaMed had almost none of these — and their E-E-A-T signals, while genuine in practice, were invisible to the structured data layer that AI systems read first. A D-grade Schema score was costing them authority they had legitimately earned.
| Severity | Finding | Impact |
|---|---|---|
| Critical | No MedicalWebPage schema on clinical articles | AI health systems cannot classify content as medically authoritative |
| Critical | Author credentials not in structured data | Physician review signals completely invisible to AI evaluation |
| High | FAQ schema absent from 840 condition pages | Missing FAQ rich result eligibility for highest-traffic queries |
| High | Organization schema missing publisher information | Brand entity not associated with medical institution category |
| Medium | Breadcrumb schema inconsistent across site | Navigation structure unclear to search and AI crawlers |
| Low | Review schema missing from patient testimonials | Social proof signals not captured in structured data |
NovaMed's engineering team used Seraph's LLM fix prompts to generate template schema blocks, then applied them systematically at the CMS level rather than article by article.
Built MedicalWebPage and Person (author) schema templates using Seraph's LLM fix prompts. Integrated templates into the CMS so all new articles auto-generate correct structured data.
Backfilled schema across the 3,000+ existing article library. Added author profile pages with Physician and MedicalOrganization markup. Submitted corrections to Google's Knowledge Panel for the brand entity.
Added FAQ schema to 840 condition and symptom pages. Marked up 220 treatment articles with HowTo schema. Seraph score climbed from 61 to 94 as rich result eligibility cascaded across the site.
"We have 47 licensed physicians contributing to our content. Seraph helped us make that credibility visible to AI systems in a way we never knew was possible. Our content finally gets the recognition it deserves."
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