Project Background

A chain of medical beauty institutions in a first tier city, with 3 branches. Traditional customer acquisition heavily relies on Meituan Dianping and Baidu bidding, with acquisition costs as high as 800-1200 yuan per item. A large number of users have started to consult medical beauty issues through AI search.

GEO Optimization Challenge

  • The medical beauty industry has strict content supervision and cannot be excessively promoted
  • AI engine has stricter review of medical and health related content
  • Need to balance professionalism and readability

Optimization plan

Content Strategy

  • Science popularization content: Published over 100 medical beauty science popularization articles, starting from "answering user questions"
  • Comparative content: Creating comparative analysis of different medical beauty projects (such as Thermage vs Ultrasound Cannon)
  • Avoiding Pits Guide: Release the "Comprehensive Guide to Avoiding Pits in Medical Aesthetics" to help users identify non-standard operations
  • Doctor Introduction: Each doctor establishes a professional page that includes qualifications, experience, and expertise in their respective fields.

Technical implementation

  • Add MedicalBusiness, Physician, FAQ Schema tags
  • Improve institutional filing information on platforms such as the official website of the National Health Commission and the Medical Aesthetics Association
  • Each branch independently establishes LocalBusiness information

Multi platform layout

  • Xiaohongshu: Doctor account posts science popularization notes
  • Zhihu: Answering professional questions in medical aesthetics
  • Tiktok: a short science video of doctors appearing on camera

Effect data

IndicatorBefore optimizationAfter optimization (5 months)
AI Recommended Consultation/Monthly582
AI inquiry to store conversion rate-32%
AI customer acquisition cost-About 150 yuan/piece
Brand search volume growthBenchmark+210%

Key insights

The core of GEO optimization in the field of healthcare is to establish trust through professional science popularization. When users ask AI about the XX project, if your popular science content is referenced by AI, they will consider it an objective and neutral recommendation, with a conversion rate far exceeding that of advertising.