K M Jalal Uddin
SEO, Entity SEO, GEO & AEO Specialist
Helping SaaS, Education, Healthcare, Local Businesses and Agencies increase visibility on Google & AI Search through Technical SEO, Entity SEO, Topical Authority and Content Strategy.
About K M Jalal Uddin
I'm the Co-Founder of Akhirah Lab and specialize in helping businesses grow through SEO, Entity SEO, GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), Technical SEO, and AI Search Optimization.
My work focuses on building topical authority, improving search visibility, and helping brands become trusted entities across Google and AI-powered search engines like ChatGPT, Gemini, Claude, and Perplexity.
Core Areas of Expertise
Overview of SEO architectures, technical search optimizations, and data tracking systems Jalal configures.
Search Engine Optimization
Structure & Performance
Analytics & Data
My Journey
Timeline showcasing Jalal's milestones and technical SEO path.
Services Provided
Industries Served
Tools I Use
Technical SEO Philosophy
"I believe modern SEO is no longer about ranking pages; it's about building trusted entities."
Search engines and AI assistants increasingly rely on expertise, relationships between entities, structured data, and content quality rather than keywords alone. My approach combines Technical SEO, Entity SEO, Topical Authority, and AI Search Optimization to help businesses earn long-term visibility.
Active Research Areas
Certifications
Featured Architectures
A select view of platforms Jalal engineered or optimized for search visibility.
Speech Actors
Engineered semantic code architecture and custom entity configurations for a global AI text-to-speech platform to support search crawling.
Dutch Flow Academy
Rebuilt client website in Next.js, implementing custom static rendering templates to support organic search index speeds.
ASAP Service Plumbing
Constructed specialized regional JSON-LD entity structures and mapped Google Search Console configurations to enhance discoverability.
Latest from the Blog
Next.js Speed Optimization: Mapped for Modern Crawlers
How PageSpeed and serverless response speeds directly influence search engine crawl budgets and rankings.
Entity SEO: Moving Beyond Traditional Keywords
Connecting search schemas and database relationships to construct topical authority nodes for AI search engines.
GEO & AEO: Optimization for Generative Engines
How modern LLM citation pipelines pull answers, and how we map content to satisfy ChatGPT, Gemini, and Claude.
Research & Experiments
Publishing actual test findings, search crawler responses, and speed optimization trials.
Cloudflare AI Crawler Controls
Testing server-level rules to deny unauthorized LLM scrapers while maintaining visibility for verified AI search assistants.
LLM Citation Benchmarking
Benchmarking nesting depths of semantic schema graphs to verify the likelihood of Claude and ChatGPT outputting client references.
Next.js ISR Index Latency
Measuring indexation lag on Google Search Console after deploying dynamic schema tags using Incremental Static Regeneration.
"Jalal rebuilt our entire frontend in Next.js. The page response latency went from 3.2s to 0.2s, resulting in an immediate indexation jump and a 100% Page Speed score. The JSON-LD schema markup he deployed made us stand out on Google Search."
Frequently Asked Questions
Find answers to common questions about Jalal's Next.js and Technical SEO workflows.