IMRAN
SIDDIQUI
Welcome to my corner of the internet — where I tinker with AI search intelligence, study how Google’s AI Overviews work, and share what I figure out along the way.
Just a Guy Obsessed
with AI Search
Hey! I’m Imran — not a big agency, not a corporate consultant. Just someone who fell deep into the rabbit hole of AI Overviews and never looked back.
This site is my lab notebook. I use it to document experiments, share findings, and practice building things. The robot in the corner? That’s ARIA — my practice project mascot. Click her 5 times. Go on.
I’m currently obsessed with reverse-engineering how Google decides what goes into an AIO — the content patterns, semantic triggers, and authority signals that make the AI pick one page over another.
My AI Search Obsessions
AIO Trigger Hunting
I spend way too many hours studying which search queries produce AI Overviews and which don’t — looking for the patterns behind the curtain.
Content Experiments
Testing different content formats, structures, and semantic signals to see what makes Google’s AI choose one answer over another. Lots of failures. Some wins.
SERP Pattern Analysis
Tracking how AIOs change over time, which verticals are most affected, and how a single content change shifts an entire AI-generated answer.
Competitor Reverse-Engineering
Pulling apart pages that consistently win AI Overviews. Why them? What’s the formula? I dig until I find the answer — or fall asleep trying.
Building AI Tools
Hacking together small tools to track, monitor, and analyse AIO appearances. Most are ugly scripts. This website is the prettiest thing I’ve made.
Writing & Sharing
Documenting everything I learn — publicly. If I figured something out about AIOs, I’d rather share it than sit on it. Knowledge compounds faster when shared.
From My Experiments
My Research Loop
Observe
Spot something weird in the SERPs. Ask “why does that AIO look like that?” and refuse to let it go until I know.
Hypothesise
Form a theory. “I think the AIO triggers because of X.” Write it down. Then try to prove myself wrong first.
Experiment
Change one variable. Wait. Observe the result. Document it whether I was right or wrong — failures teach more than wins.
Share
Write it up. Post it. Someone else learns. Someone corrects me. I learn more. The loop restarts. This is the way.
Tools I Actually Use
Want to Nerd Out
About AIOs?
I’m always up for a good conversation about AI search, swapping experiments, or just geeking out about where search is heading. No pitches. Just curiosity.
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