About
Why we built AIOScan
Most AI visibility tools show you a score they can't explain, generated by a methodology they won't publish, behind an email gate. We thought that was a bad deal.
What is AIOScan?
AIOScan is a free AI visibility scanner. AIOScan tests whether ChatGPT, Claude, Perplexity, and Gemini can retrieve a website's pages, parse them, and cite them, using 21 deterministic checks weighted by published research. AIOScan was built in 2026 by Abdul Jaafar and is operated from Toronto, Canada. Every scan returns the full report with a fix guide for each failure, and nobody asks for your email.
The facts that make AIOScan different are verifiable, not claimed. All 21 check weights are published with their supporting research, and the methodology page is generated from the scanner's own source code. Therefore the AIO Score can be independently re-derived by anyone, which is not true of any other score in this category. AIOScan also published a study of the web's top 1,500 domains with its sample list and aggregates public, so its data can be reproduced.
What do we believe?
Three things. Methodology should be public. Reports should be free and complete. And a tool that grades websites should score perfectly on its own test. Ourmethodology page is generated from the scanner's source code, the research behind each weight is linked there, and yes, we scan ourselves.
Who writes AIOScan?
Every guide on this site is written by Abdul Jaafar.Abdul Jaafar is the founder of AIOScan and runs Mason, a marketing agency focused on search and AI visibility for local businesses. He built AIOScan because most AI visibility scores are made up, and he wanted one that isn't. Abdul Jaafar has run search marketing for local businesses for years, therefore the checks reflect problems found on real client sites, not theory. The research library behind the scanner, and behind every recommendation in our guides, is curated by the same hands that built the checks, which keeps the writing and the scoring honest with each other.
What's next?
Layer 2 is live measurement of the retrieval side: whether you rank for the sub-queries AI generates, and the reputation signals models consult before recommending anyone. The on-page scan tells you whether you can be seen. Layer 2 will tell you whether you are.
How can you reach us?
Email hello@aioscan.com. Agencies running scans for clients and anyone who thinks our scanner graded a page wrong are especially welcome. Both make the product better. Still doing due diligence? We wrote uphow to verify everything we claim, step by step.