Browse the latest analysis, comparisons and practical technology guides.
Affiliate content best practices built on one test: would you recommend it without the commission? Disclosure, drawbacks and price obligations.
An AI search optimization guide with two real levers: a 60-word extractable answer, and original data nobody else published. Plus what we do here.
A content refresh strategy that compounds: update the same URL, verify every fact, add the direct answer — and only move dates you have earned.
Keyword research for topic authority: one intent per URL, clusters over lists, and the overlap query that finds your own pages competing.
A technical SEO audit checklist in dependency order, illustrated with real faults from our own site — including a noindex rule that never worked.
AI ROI measurement that survives scrutiny: capture a baseline before deployment, measure one workflow, count review labor, report ranges not multiples.
An AI data quality checklist of six checks — coverage, labels, duplicates, leakage, freshness, provenance. Why leakage flatters and labels cap you.
The best AI assistant for teams is decided by data terms, admin controls and week-two usage — not benchmarks. How to run a trial that tells you something.
Local AI vs cloud AI on four axes — data residency, capability, cost shape and upkeep. Why inflated GPU memory prices moved the cost crossover.
What is an NPU and what does it change? Why efficiency per watt matters more than TOPS, and why it will not run large local models.
