The product
Other platforms can't stop fake reviews. We do the opposite.
Not out of idealism. Because our business model points in the same direction as our product promise.
Why a third of all reviews aren't credible is shown with studies, legal texts, and quotes on the evidence page →. This section is about why Google and Trustpilot structurally can't solve the problem — and what Verix does differently.
Fake Review X-Ray.
Paste in a review — your own or someone else's — and see which patterns our system would detect. The basic check runs directly in your browser; the text never leaves it. The optional advanced AI check sends the text to our server for analysis (not stored, see our Privacy Policy).
0 / 2000 — stays in the browser, never stored
Waiting for input…
Waiting for input…
Separate, rate-limited server call. Text is analyzed and immediately discarded — no database storage.
What Verix does differently.
Verix earns money from providers who want transparency. Not from volume, which undermines trust. Our business model and our product promise point in the same direction — which is why the conflict of interest that structurally blocks Google and Trustpilot disappears.
| Model | Google / Trustpilot | Verix |
|---|---|---|
| Revenue source | Advertising, scales with review volume | Providers pay for transparency, not for stars |
| Incentive with more reviews | Always positive — genuine or not | Only for backed-up, verified reviews |
| Cost of mandatory receipts | Less volume, less revenue | No conflict of interest — the receipt requirement is the product |
| Formula | Not public | Fully public at /transparenz |
What's in it for me?
The effort is one-time and small — and your review reaches further than you think.
You already have the receipt. Sales slip, email confirmation, or PDF — you don't do anything extra. Our OCR system reads it automatically.
Your proof (purchase receipt, QR code, or API confirmation) is required and always counts at full weight (1.0) in the Trust Score — try the formula in the calculator below .
Honest providers become more visible. A good business rises in the score because real customers were verifiably satisfied — not because stars were bought.
You protect the next person. Someone else will make the same decision you're making right now.
The self-reinforcing loop.
Click a stage for more detail.
↺ Starts over — stronger than before.
Trust Score — calculate it yourself.
The same formula Verix uses to calculate every score live (see the full documentation). Try how proof quality, age, and count affect the score.
Proof type:
Confidence: medium · Bayesian prior: 10 reviews at 3.0 ★
No claims, only evidence.
Every statement on this page is verifiable in the code, in real data, or in the linked sources.