APTECH GLOBAL
Consolidated fragmented corporate data into a single-entity structure,
redesigned to improve AI readability and increase the likelihood
of citation in global AI answer engines.
Project Overview
APTECH is a B2B manufacturer specializing in polyurethane raw materials and specialty chemical products.
Their existing website was significantly outdated and lacked the multilingual infrastructure needed for global market expansion.
Project Phases
-
01
Site Renewal
Complete rebuild of the outdated site
with modern design and architecture -
02
SEO Foundation
Technical SEO, site structure, and
4-language optimization -
03
Content Expansion
Short-form video production and
FAQ content development -
04
GEO Enhancement
Entity and schema architecture designed
for AI answer engine visibility
This project evolved beyond a simple renewal through a phased approach: SEO foundation → content expansion → GEO enhancement.
We've observed early visibility in AI answer engines (ChatGPT, Perplexity) for certain long-tail queries and are currently compiling verification data.
Challenges & Solutions
Before
- Search visibility existed but lacked AI-citable structure
- Fragmented service definitions reduced search engine comprehension
- No multilingual support limiting global market access
- Missing structured data (Schema markup)
- Poor mobile optimization
After
- Architecture designed to increase AI citation likelihood
- Consolidated core service entities for improved search accuracy
- Full 4-language support including Arabic RTL
- Comprehensive Schema.org structured data implementation
- Fully responsive across all devices
What We Delivered
GEO Architecture
Redesigned corporate information into a single-entity structure
to increase citation likelihood in AI answer engines.
- Organization / Service Schema design
- Multilingual entity structure definition
- FAQ data optimized for AI retrieval
SEO/AEO Optimization
Combined technical SEO with content optimization
for visibility across both search engines and AI systems.
- Core Web Vitals improvements
- Schema.org structured data implementation
- Semantic HTML markup
Multilingual Website
Full support for Korean, English, Hindi, and Arabic
with complete RTL layout optimization.
- Korean, English, Hindi, Arabic
- Arabic RTL layout optimization
- Hreflang tags and international SEO
Structured Data Architecture
We designed Schema.org-based structured data so search engines
and AI systems can accurately understand the business.
Organization
Structured company info, contact details, and location
for knowledge panel optimization
Service
Service definitions structured for
AI retrieval and answer inclusion
Product
Clear product information for
rich snippet visibility in search results
FAQ
Structured FAQs optimized for
voice search and AI answer retrieval
Ready to build a website
structured for the AI era?
LogAgency delivers results with proven
GEO strategies and technical SEO expertise.