Our review methodology
Choosing an AI tool from spec sheets and vendor blogs is a good way to waste money. Here is exactly how we research, fact-check, score, and maintain every review on AI Tools Police — and how we stay independent while doing it.
What we evaluate
Every tool is judged on the same six dimensions, whatever the category.
Verified pricing
We check every plan and credit limit against the vendor's own live pricing page on the day we publish, and we date the review. Prices move constantly — a dated review tells you how fresh the number is.
Documented features
Capabilities are taken from official documentation and the product itself, not inferred from marketing adjectives. If a feature is gated, beta, or limited, we say which.
Real user reports
We aggregate first-hand experience from G2, Trustpilot, Reddit, and Capterra, then weigh recurring complaints and praise against the documented feature set.
Transparent trade-offs
We name the exact point where a free tier stops being useful, where a competitor does it better, and what the real risks are — not just the upside.
Honest-ceiling scoring
Scores come from evidence, not vibes, and they're capped by honesty. No tool is perfect, so a top pick usually lands in the mid-to-high range, not a flawless score.
New insight only
A review goes live only if it adds something the top existing results don't already cover. We don't publish a reworded version of what's already out there.
How a review is made
Research
We map the tool, its category, the alternatives, and the questions real searchers are actually asking — including what competing reviews leave out.
Draft
We write a clear verdict first: who the tool is for, where it wins, where it breaks. The summary sits up top so it stands on its own.
Fact-check
Every number is verified before it goes live — pricing against the vendor's live page, features against the documentation, claims against independent sources. If something can't be confirmed, it doesn't make the page.
Publish & maintain
The review goes live dated, and we revisit it as pricing, features, and detector results change. Reviews are snapshots, and we treat them that way.
Independence & how we make money
AI Tools Police is reader-supported through affiliate links. When you buy a tool through us, we may earn a commission at no extra cost to you. That funding never buys a ranking: placement is never sold and never weighted by payout. Review order reflects research and newsworthiness, not commercial arrangements, and we disclose affiliate links wherever they appear.
Sources we use
Vendor pricing and documentation pages, the products themselves, and independent user reviews on G2, Trustpilot, Reddit, and Capterra. Where a claim is contested or vendor-only, we say so rather than presenting it as settled fact.
What we don't do
- — Rewrite spec sheets or vendor marketing pages.
- — Invent benchmark numbers or claim hands-on tests we didn't run.
- — Repeat “100% undetectable” or “best-in-class” claims without scrutiny.
- — Sell rankings, or let an affiliate payout move a tool up the list.
Corrections
Found a stale price or a claim that doesn't hold up? Tell us and we'll fix it. Accuracy beats being right the first time.