Search OS SEO and GEO Success Stories Featured on the AWS Tech Blog
Search OS, AWS 기술 블로그 성과 사례 소개
COMPANY NEWS
SEO·GEO 기술 구성과 고객 성과를 소개합니다.
- DATE
- 2026. 10
- SOURCE
- AWS TECH BLOG
Search OS
October 26, 2026
Announcements
AWS Tech Blog features Search OS’s product content structuring system
Amazon EKS and CloudFront architecture, with customer revenue and sign-up results
On October 26, 2026, the AWS Tech Blog published a case study on Search OS’s SEO and GEO solution. It covers how product information is made readable for search engines and AI, the AWS architecture behind the system, and results measured in customers’ existing analytics tools.
Making official product information readable for search and AI
Search engines and AI can struggle to read product descriptions embedded in images or displayed dynamically. Search OS analyzes images and pages, then organizes product names, options, and configurations into meaningful HTML. This makes official store information accessible while preserving the customer-facing page.
An operating architecture built on Amazon EKS and CloudFront
The AWS article explains how GS SHOP used CloudFront Functions to connect the content delivery path without modifying its application code. On Amazon EKS, image analysis and HTML generation run separately from request handling, while generated HTML is stored in Amazon S3 for reuse. Content generation and delivery can therefore scale independently as product information changes or seasonal workloads increase.
Results measured in customers’ analytics tools
In the cases featured by AWS, Lingtea’s purchase revenue from organic search grew to at least twice the comparison-period level. KT Alpha’s Giftishow Biz saw approximately twice as many sign-ups from ChatGPT traffic, around 2.5 times as many page views from the same source, and approximately 11.2 times as many coupon detail pages indexed by search engines. Hanpoom’s revenue reached approximately three times the comparison-period level after product descriptions and review information were enhanced.
Results were checked using customers’ existing analytics tools, including GA4 and Amplitude. The AWS article describes year-over-year comparisons or before-and-after comparisons using periods of equal length, depending on the customer. It also covers GS SHOP’s seasonal campaign use cases and the full technical architecture.
Read the full case study on AWS
Visit the original AWS article for the product content workflow, the role of each AWS service, and customer outcomes. If you are considering improvements to your official store’s search and AI visibility, contact Search OS to discuss an implementation approach.