Shahbaz Alam
SEO Specialist Search Researcher AI Search Enthusiast
Knowledge & ResearchSearch, SEO & AI Visibility
SEO Experiments, Research & Lessons from the Evolving World of Search
I’m an SEO Specialist with over five years of experience across technical SEO, content strategy, keyword research, link acquisition and organic growth.
As search evolves through AI-powered experiences and large language models, I believe the role of SEO is expanding rather than disappearing. This site is where I document what I learn, test and observe: experiments, technical research, AI search observations and lessons from years in search.
What I’m Researching Right Now
Search is changing faster than ever. These are the topics occupying most of my attention.
My goal is not simply to follow industry trends. It’s to understand how discoverability works as search evolves.
At a Glance
5+ Years in SEO
Hands-on experience across technical SEO, content strategy, keyword research and organic growth.
Technical SEO & Strategy
Deep focus on technical SEO, search architecture and building systems that scale organically.
AI Search & GEO
Actively researching generative engine optimisation, AI search visibility and information retrieval systems.
Research & Publishing
Documenting findings, publishing experiments and sharing practical learnings from search.
Continuous Learning
Committed to staying at the edge of what’s known in search, SEO and AI information retrieval.
Latest Research & Observations
GEO vs Traditional SEO
Exploring how optimisation strategies change when visibility depends on AI-generated answers rather than conventional search rankings.
Read more →Understanding AI Search Retrieval
Investigating how AI systems discover, interpret and cite information from websites and what that means for publishers.
Read more →Search Behaviour in the AI Era
Observing how user behaviour and expectations change when answers are generated instead of searched.
Read more →Experiments & Findings
The best way to learn SEO is through testing. These are live hypotheses and observations from my current work.
Can markdown structure improve AI visibility and citation rate?
How do AI crawlers interact with websites differently to Googlebot?
Does schema markup influence AI citations in generative results?
Can internal linking improve entity retrieval in AI search systems?
How does content structure and hierarchy affect AI-generated answers?
Lessons From Years in Search
Successful SEO rarely comes from chasing shortcuts or individual tactics. Most meaningful results come from understanding users, solving information architecture problems and consistently executing the fundamentals.
How I Think About Search
Search has always been an information retrieval problem. Whether users interact through Google, ChatGPT, Gemini or future AI systems, the underlying challenge remains the same: helping people discover relevant, trustworthy and useful information.
The technologies will evolve. User expectations will evolve. Search interfaces will evolve. But the need for discoverability will remain.
My work focuses on understanding those changes and sharing practical insights along the way.
Beyond Work
Outside of SEO, I enjoy cycling and maintaining an active lifestyle. Long-distance rides have taught me many of the same lessons that apply to professional growth.
Consistency matters more than intensity. Progress comes from continuous improvement. Meaningful results take time. Occasionally I’ll share those lessons here too.
Let’s Connect
Interested in discussing SEO, AI Search, GEO, Technical SEO or the future of discoverability? I always enjoy thoughtful conversations about search and emerging technologies.