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Ahrefs- Create an Expert Medical Knowledge Base
- Significantly Expand Coverage of Informational Queries
- Improve the Website’s E-E-A-T Metrics
- Ensure Stable Growth in Organic Traffic
- Become a Niche Leader in Medical Content Quality
Cases · Archive · Healthcare · 2025
YMYL – case
Agency-era case study (2025).
This case was first published on the previous humanswith.ai site between 2019 and 2025 — before the platform pivot. Performance, SEO, CRM, content, or growth work from that era. Modern AI-search cases (with per-engine Hermes data) live at /cases.
Project passport
Increase in organic search traffic
Screenshot from Ahrefs showing the increase in Google traffic during the promotion period from September 2023 to March 2025.
Key outcomes
- 651% increase in Google traffic
- Created 234 medical expert articles
Section 01
Increasing Organic Traffic to the Clinic through High-Quality Medical Content
Section 02
Challenges of Advertising in the Medical Niche
Strict Requirements for Medical Content
Content had to meet high standards of accuracy and reliability.
Challenges with E-E-A-T
SEO demanded strong expertise and content trustworthiness.
Highly Competitive Niche
Medical SEO is one of the most saturated and competitive fields.
Need for Ongoing Scaling
Continuous growth of site structure and content was essential.
Section 03
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Section 04
To achieve the goals, the scope of work was divided into 4 stages
Stage 1. Creating a Medical Content Production System
Forming an Expert Team:
Recruited medical copywriters with relevant education
Created a pool of doctor-experts for content review
Implemented a multi-level review process for each article
Developing the Content Creation Process:
SEO specialists create briefs:
Analysis of core keywords
Study of top competitors
Definition of structure and key sections
Verification of relevance to medical topics
Medical copywriters produce content:
Writing expert articles based on medical knowledge
Use of up-to-date medical sources
Adherence to terminology and professional standards
Agency copy editors review:
Fact-checking medical information
Checking uniqueness and text quality
Compliance with SEO requirements
Final proofreading and optimization
Stage 2. Scaling Content Production
Over 1.5 years of work, 234 expert articles were created:
Average pace: 10 articles per month
Article length: from 5,000 to 20,000 characters without spaces
Thematic directions:
Types of alopecia and hair loss diagnosis
Causes of hair loss and related diseases
Modern methods of hair transplantation and restoration
Home care and traditional remedies
Specialized medications and procedures
Psychological and social aspects
Stage 3. Implementing E-E-A-T Elements in the Content
Experience:
Clinical Cases with Real-Life Examples
Before-and-After Procedure Photos
Patient Reviews with Detailed Experience Descriptions
Expertise (Экспертность):
Authorship with Doctor Profiles
Medical Sources and Links to Research
Professional Terminology and Detailed Explanations
Authoritativeness (Авторитетность):
Licenses and Certificates
Awards and Achievements
Membership in Professional Associations
Trustworthiness (Надежность):
Contact Information and Clinic Address
Transparent Pricing and Treatment Conditions
Review and Feedback System
Этап 4. Техническая оптимизация контента
Schema.org Microdata:
Article for informational articles
MedicalWebPage for medical content
Person for doctor-author profiles
Organization for clinic information
Internal Linking:
Systematic connection between informational and commercial pages
Clustering by medical topics
Anchor links with relevant anchor texts
Section 05
Achieved Results
Under the guidance of the team, a comprehensive strategy was developed. As a result, not only was organic traffic increased, but the clinic’s position as an expert in its field was also strengthened. Key Outcomes:
10x increase
in the share of leads from "Campaign Master" out of total leads from "Direct"
55% reduction
in customer acquisition cost (CPA) from "Campaign Master"
66%
was the share of leads from the most successful "Quiz" combination
End of archived case
Want a modern case? Hermes data, not Google Analytics.
The modern cases at /cases use a different proof model: per-engine AI mention rate, citation tracking across the answer engines, and delta reports after every scan. Different category, different proof, different era.