Every review on OpenAIMaster follows the same hands-on testing process. We sign up for each tool, test free and paid plans where relevant, and run it through real-world tasks before we score or rank it. No sponsored placements, no pay-to-win rankings.
Our testing process
- Sign up and onboarding: we create a real account and measure how long it takes to get to a first useful result.
- Core feature tests: we run each advertised feature through scripted tasks and note what works, what’s buggy, and what’s missing.
- Output quality: we judge results against clear criteria — accuracy, relevance, and consistency across repeated runs.
- Pricing check: we verify every plan’s price, including India pricing (INR) where the vendor publishes it, plus free-tier limits.
- Support and reliability: we test customer support response times and check uptime records and data policies.
How we score
Each tool is scored out of 10 across five weighted criteria: Features (30%), Ease of use (20%), Output quality (25%), Value for money (15%), and Support and trust (10%). Tools scoring 8.5 or higher earn our Editor’s Choice badge.
Comparisons and roundups
For X-vs-Y comparisons, both tools complete the same task list so results are directly comparable. For “best of” roundups, every contender is tested against identical criteria and the full scoring table is published in the article.
What we don’t do
- We don’t accept payment for reviews or rankings.
- We don’t republish vendor marketing copy as reviews.
- Affiliate links never influence scores — see our Affiliate Disclosure.
Updates and corrections
Reviews show a visible “Last updated” date. We re-test tools when major updates ship, and we correct scores when the facts change. Spotted an error? Contact us and we’ll investigate.