AdCheckMe
These guides are written for humans first. Each article focuses on one decision area that publishers control directly: content quality, ad density, consent UX, and structural trust.
A systems-level diagnostic model to identify what still looks low-value and how to prioritize fixes.
A seven-layer model for turning broad explainers into pages with unique decision utility.
A structured sequence for rebuilding quality signals after low-value rejection cycles.
A practical breakdown of how contextual and audience signals differ, overlap, and affect user trust.
Common placement patterns that can hurt readability, perceived trust, and ad review outcomes.
How consent choices alter measurement and targeting, and how publishers can design fair consent UX.
The metrics that matter, what to ignore, and how to improve viewability without degrading the page.
A step-by-step checklist covering content depth, trust pages, crawlability, and UX fundamentals.