B2C
Telehealth · dermatologyTelehealth platform: 88% organic traffic recovery after YMYL core update
Restoring search visibility and patient trust following an algorithmic penalty through clinical E-E-A-T workflows, credentialed medical reviews, and aggressive library pruning.
- Client
- Direct-to-patient telehealth Brand
- Timeframe
- 7 months
- Scope
- Technical SEO & indexation architecture · Clinical E-E-A-T & entity mapping · Multi-location Google Business Profile optimization · Dev-ready sprint ticket delivery
- +88%
- 12,400+ Sessions Restored
- 12,400+
- Monthly consultation sessions restored
- 100%
- Articles reviewed by board-certified dermatologists
- 11/11
- E-E-A-T pre-publish checks operationalized in CMS
The challenge
Zero search footprint and complete lack of indexed commercial URLs.
Heavy technical crawl bloat from uncanonicalized faceted filters.
Competitors monopolizing high-value commercial query intent.
Diagnostic Transformation
The Structural Shift: Before vs. After
Inspect the baseline operational bottlenecks against the deployed compounding search infrastructure.
Generic ghostwritten articles with no medical review board or physician attribution
70% of high-volume symptom articles plummeted off Page 1. Content lacked clinician bylines, medical disclaimers were absent, and external links cited non-authoritative commercial blogs.
Critical Bottlenecks Identified:
- ✕Generic ghostwritten articles with no medical review board or physician attribution
- ✕Zero medical schema markup (MedicalWebPage, reviewedBy, medicalAudience)
- ✕Low citation quality failing Google YMYL search quality rater guidelines
100% of published library signed off by verified board-certified clinicians
Pruned 140 low-quality pages, partnered with board-certified dermatologists for clinical reviews, implemented MedicalWebPage schema, and earned citations from PubMed and peer-reviewed journals.
Engineered Infrastructure Wins:
- ✓100% of published library signed off by verified board-certified clinicians
- ✓Comprehensive MedicalWebPage & author schema with LinkedIn and NPI cross-references
- ✓Protected against subsequent core algorithmic updates with permanent editorial moat
Approach
Direct architectural crawl audit
Isolating indexing waste.
Physician and clinic entity graphs
Built using nested JSON-LD schema.
Targeting high-intent commercial keywords
Focusing on pipeline over empty traffic queries.
What was executed
- Bi-weekly sprint tickets shipped directly into Jira backlog.
- Continuous indexation monitoring preventing algorithmic demotions.
- Weekly Slack syncs with clinical and engineering leads.
The Problem
A fast-growing telehealth platform offering direct-to-consumer dermatological treatments was severely impacted by a Google broad core update. Over a two-week period, organic traffic plummeted by 70%, devastating their new patient acquisition model.
The Diagnosis
The site had scaled 400+ symptom articles using freelance lifestyle copywriters with no medical background. Google Quality Rater algorithms flagged the library for lack of E-E-A-T: no physician review dates, zero clinical citations to PubMed or dermatological journals, and vague medical claims that failed YMYL evaluation.
The Healthcare SEO Intervention
- Clinical Governance Board: Recruited and onboarded board-certified dermatologists to review and sign off on all patient symptom pages.
- Peer-Reviewed Citation Footnotes: Integrated rigorous citation architecture linking medical assertions directly to NCBI and NIH studies.
- MedicalWebPage Schema: Injected structured schema detailing author credentials, reviewer medical licenses, and last-reviewed timestamps.
- Pruning Low-Quality Fluff: Archived 90 thin, redundant articles and consolidated them into definitive, hospital-grade guides.
The Outcome
Over the next 7 months, the domain completely recovered 88% of its peak organic traffic and established permanent algorithmic resilience against subsequent core algorithm updates.
“Atiur did not just give us recommendations — he embedded in our sprints, fixed the architecture, and delivered qualified inbound pipeline every month.”
Next step
Tell me what is broken. I will tell you whether I can fix it.
I take a small number of engagements at a time so each one gets real hours. If we are not a fit, I will say so in the first reply and point you somewhere better.
- Reply time
- Within one business day
- Working hours
- US Eastern & Central overlap
- Based in
- Mirpur, Dhaka, Bangladesh
