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🌍 CASE STUDY 13
GLOBAL ENTERPRISE SEARCH INTELLIGENCE & AI SEO ARCHITECTURE
Enterprise Technical SEO • Global B2B SaaS • AI Search • Search Intelligence • Technical Architecture
THE EXPERIENCE
I work at the intersection of technical SEO, enterprise website architecture, search-engine systems, data analysis and emerging AI search technologies
My approach is designed for technically complex digital environments where JavaScript applications, SSR infrastructure, millions of URLs, international websites, structured data, search intent and AI-generated answers all influence discoverability.
This is not surface-level SEO
It is an engineering-led search intelligence workflow built around understanding how modern search systems discover, interpret, index and surface information
⚙️ GLOBAL TECHNICAL SEO TOOL STACK
🔎 SEO & CRAWL INTELLIGENCE
Google Search Console
Screaming Frog SEO Spider
Sitebulb
Ahrefs
Semrush
Bing Webmaster Tools
📊 ANALYTICS & DATA
Google Analytics 4
Google Looker Studio
Microsoft Excel
Google Sheets
BigQuery
Google Tag Manager
⚡ PERFORMANCE & TECHNICAL DIAGNOSTICS
Google PageSpeed Insights
Lighthouse
Chrome DevTools
Core Web Vitals
CrUX
WebPageTest
🧠 AI SEARCH & CONTENT INTELLIGENCE
ChatGPT
Google Gemini
Microsoft Copilot
Perplexity
AI Search / AEO / GEO workflows
Semantic & Entity Analysis
AI Response Quality Evaluation
🧩 WEB ARCHITECTURE & SEARCH INFRASTRUCTURE
JavaScript SEO
SSR / SPA Analysis
HTML / HTTP Diagnostics
Robots.txt
XML Sitemaps
Canonicalization
Schema.org / Structured Data
International & Hreflang SEO
🌐 GLOBAL SEARCH ECOSYSTEM
GOOGLE → BING → AI SEARCH → GENERATIVE ANSWERS → ENTITY SYSTEMS → SEMANTIC SEARCH
Modern search visibility is no longer controlled by a single ranking page.
The ecosystem increasingly connects:
CRAWLING → RENDERING → INDEXATION → UNDERSTANDING → RETRIEVAL → RANKING → AI ANSWERS
My methodology is built around analyzing these interconnected signals and converting technical findings into clear implementation priorities.
🧬 EXECUTION FRAMEWORK
DISCOVER
CRAWL
DIAGNOSE
ANALYZE
PRIORITIZE
ENGINEER
IMPLEMENT
VALIDATE
SCALE
🏢 ENTERPRISE-LEVEL FOCUS
Technical SEO Architecture
Enterprise Crawl & Indexation
JavaScript / SSR / SPA SEO
International SEO
B2B SaaS Search Growth
Site Migration Engineering
Core Web Vitals
Entity & Semantic Search
Structured Data
AEO / GEO / AI Search
Search Quality Evaluation
Content & AI Response Analysis
🔥 THE GLOBAL MISSION
Millions of URLs.
Complex architectures.
Multiple search engines
Multiple languages
Multiple AI systems.
One connected search strategy.
I don't treat SEO as a checklist
I treat search visibility as an infrastructure
problem
ENGINEER THE SIGNAL.
UNDERSTAND THE SYSTEM.
CONNECT THE GLOBAL SEARCH ECOSYSTEM
SCALE ORGANIC GROWTH. 🌍⚡
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This is a modern and fully responsive real estate marketplace website designed to connect buyers and sellers through a simple and intuitive property discovery experience. The platform combines advanced property search, category-based browsing, saved listings, property filters, and a dedicated seller dashboard for managing listings and tracking inquiries
I recently redesigned and launched a modern, high-performance Web Infrastructure for Orikma Ref & Trading (Pvt) Ltd, a premier HVAC and Refrigeration supplier in Sri Lanka.
Key Highlights of the Project:
• Engineering Focus: Highlighting key HVAC solutions including compressors, refrigerants, fan motors, and professional VALUE tools.
• Modern Stack: Developed with Next.js and React, styled with Tailwind CSS for optimal load speed and cross-device responsiveness.
• Security & SEO: Fixed domain DNS configurations, Google Search Console indexing issues, and optimized for local search engine visibility.
Tech Stack: Next.js | React | Tailwind CSS | Vercel | Supabase
Are you looking to scale your business with custom web development? Let's connect!
Quality Assurance and Authorized Distribution get their own icon cards right under the hero instead of buried in an About page — for an HVAC B2B buyer those two lines are probably the actual purchase decision.
GEO / AI Search Visibility: What We Actually Optimize
A website can rank well in Google and still be almost invisible in ChatGPT, Gemini, Perplexity, Copilot or Google AI Overview.
Why?
Because having the right answer on the page is not always enough.
AI systems also need to clearly understand:
what the page is about;
what answer is being given;
which entity or brand it belongs to;
whether the content is structured well enough to extract and reuse.
That’s why GEO work should go beyond traditional SEO.
Our process
We usually work across 4 areas:
1. Technical foundation
Indexation, crawlability, sitemap, internal linking, schema and other SEO issues that can block visibility.
2. AI visibility audit
We check how the website appears in Google AI Overview, ChatGPT, Gemini, Perplexity, Copilot and Grok, and compare that visibility with competitors.
3. Content structure
We improve pages with things like:
direct-answer blocks;
clearer headings;
FAQ sections;
schema;
better content hierarchy.
The goal is simple:
don’t just have the answer — make it easy for AI to find and use it.
4. Monitoring and iteration
We track AI visibility, citations, traffic and user actions, then update priorities based on real data.
What this looked like in practice
In one recent project:
35 → 217 queries in TOP-10 Google AI Overview
23 → 113 queries in TOP-3
6.2× growth in AI visibility
At the same time, citations changed from period to period, which is why we don’t judge GEO by mentions alone. Visibility, citations and AI traffic are different metrics and should be measured separately.
A GEO audit should answer one practical question:
Why is AI choosing other sources instead of yours — and what should be changed?
If your website ranks in Google but rarely appears in AI-generated answers, that’s exactly what I would check first.
#GEO #AISEO #SEO #ChatGPT #GoogleAIOverview