Review Policy
Last updated 2026-07-01
This Review Policy describes how we produce our reviews and what our scores mean and don't mean. It sits alongside our Editorial Policy and should help you read our reviews with the right expectations.
How we evaluate tools
Wherever we can, we base each review on our own hands-on evaluation, looking at core capabilities, ease of use, output quality, value and fit for common tasks. We set out strengths and limitations in plain terms so you can judge whether a tool fits your needs.
What the 0–5 score means
Our review score uses a 0–5 scale and gives our editorial opinion of a tool measured against its category and purpose. It is a considered judgement and not an exact measurement, and it may change as the tool develops or when we test it again.
No fake user reviews
We don't ask for, invent or pay for user reviews, and we don't show made-up testimonials or star counts presented as crowd feedback. Any rating we show is plainly our own editorial score.
No AggregateRating markup
Our scores are individual editorial opinions and not aggregated user ratings, so we choose not to use
AggregateRating structured data. We prefer to describe what a score represents accurately over making it look more authoritative than it is.Last verified dates
A review may show a "last verified" date that tells you when we last checked its key details. AI tools change fast, so read older reviews with care and check current features and pricing with the provider.
Independence and corrections
Nobody can buy a review, and nothing outside our editorial process can change a score or its wording. If you think a review is wrong or out of date, tell us through our contact page and we will look at it again.
This page is provided for general information and is not legal advice. Questions? Reach us via our contact page.