When we recommend an AI tool or compare two of them, you deserve to know how we reached that conclusion. This page explains the process behind our reviews and rankings so you can judge our advice for yourself. Our goal is simple: help you choose the right tool for your needs, not the one with the biggest marketing budget.
How we evaluate a tool
We assess every tool against the same core criteria, then weight them according to who the tool is for:
- Capability — how well it does the core job it claims to do, based on real use rather than feature lists.
- Ease of use — how quickly a new user can get a useful result.
- Value for money — what you actually get at each price tier, including the free plan.
- Reliability — consistency, uptime, and how it behaves under real workloads.
- Who it’s for — because the “best” tool genuinely depends on whether you’re a beginner, a team, a developer, or a business.
Our principles
- Independence. Our opinions are our own. No company can pay for a better review or a higher ranking.
- Honesty about drawbacks. Every tool has weaknesses, and we say so. A review with no cons isn’t a review — it’s an advert.
- No single “winner” fallacy. We match tools to use cases instead of pretending one tool is best for everyone.
- Transparency about money. Some links may earn us a commission; this never changes our verdict. See our Affiliate Disclosure.
Keeping reviews honest over time
Tools improve, prices shift, and new competitors appear. We revisit our most important reviews and comparisons periodically and update them, refreshing the “last updated” date so you know how current our assessment is. If a tool changes significantly, our verdict can change too — and we’ll say why.
If you ever disagree with a review or think we’ve missed something, we welcome the feedback. Get in touch through our contact page — reader input genuinely makes our recommendations better.