Case study • Healthcare only
AI Visibility: GEO/AEO + E‑E‑A‑T Foundation Build
A specialty clinic needed to defend demand as AI Overviews reduced click-through. We improved machine understanding (entities + schema), strengthened E‑E‑A‑T, and built answer‑ready content designed to earn AI citations.
5–10AI citations / month target (after foundation + content cadence)
+20–40%organic traffic lift target (3–6 months)
−30–50%cost-per-acquisition efficiency target
Baseline & constraints
- Content existed, but service pages lacked entity clarity (what the practice does, for whom, and where).
- Weak corroboration: inconsistent service descriptions across site + listings.
- Rising zero‑click: visibility increasing while site visits stagnated.
What we changed (Phase 1)
- Implemented E‑E‑A‑T modules (written/reviewed/updated) and strengthened author + editorial policy linking.
- Added structured data: Organization, Person, Service, FAQ, Breadcrumbs; stabilized author entity via
@id. - Created an answer‑ready service architecture (definitions, FAQs, decision guidance, internal linking).
- Built a measurement framework: AI Visibility Score, Citation Share, query coverage tracking.
Ongoing protection (Phase 2)
- Weekly content cadence focused on high‑intent patient questions.
- Monthly schema + entity audits to prevent drift.
- Reporting: citations, traffic, inquiry rate, and conversion path diagnostics.
Privacy note: This case study is anonymized. No patient information is used or shared.