Quick answer
Exactly how we build our editorial ratings, trust scores and scam-risk signals — what goes in, what doesn't, and why we never fake review counts.
Anyone can slap a star rating on a tool. The question worth asking is: what's behind it? This page explains, in plain terms, how our editorial ratings, trust scores and scam-risk signals are actually built — and where their limits are.
Our rating is one editorial opinion, not a crowd average
The AiReviewPlace rating (out of 5) is a single editorial assessment by the editor covering that category. It is not an average of thousands of anonymous users — and we will never present it as one. Inventing user counts or 'verified' testimonials to manufacture trust is exactly the kind of thing we warn readers about, so we don't do it ourselves.
When real, logged-in readers leave reviews, those appear separately, in their own section, clearly attributed. If a tool has no user reviews yet, we say so.
What the trust score (0–100) actually measures
The trust score is an informational composite of eight signals, each estimated from public information and product documentation, then weighted and blended:
- Public reputation and track record
- User sentiment from public sources
- Volume and consistency of available feedback
- Billing clarity — is pricing transparent and predictable?
- Refund-policy clarity
- Support responsiveness
- Website transparency — clear terms, ownership and contact
- Realism of marketing claims versus over-promising
A tool with clear pricing, an easy cancellation path and realistic marketing scores high. One with hidden annual lock-ins, refund complaints or 'guaranteed results' marketing scores lower.
What the scam-risk signal means — and doesn't
Low / Medium / High / Unknown reflects user-reported concerns and unverified marketing. It is a prompt to research carefully, never a factual accusation. A Medium or High signal means 'read the terms and proceed with caution', not 'this company is committing fraud'. We choose this wording deliberately, because fairness matters and most flagged tools are legitimate products with a specific issue worth knowing about.
The honest limitation
These are informational estimates compiled from public information — not audits, lab tests or legal findings. Always verify current pricing and terms with the provider before you pay. Our scores are a starting point for your own research, not the last word.
How we stay independent
Some links are affiliate links and we may run advertising, but neither affects a score. We rate affiliate-partnered tools by the same criteria as everything else, and we regularly rate partnered tools lower when they deserve it. You can read the full policy on our editorial standards and affiliate disclosure pages.
Written by
Priya NairTrust & Safety Editor
Priya leads our trust and safety coverage, focusing on billing practices, cancellation friction and misleading marketing across the AI tools market. She designs the methodology behind our informational trust and scam-risk signals.
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