Measure answers against evidence
Our research separates being readable, appearing in search, receiving a citation and providing an accurate saving. These are different outcomes.
How we assess an answer
Record the exact question, country, product mode, date, raw answer and cited URLs. Compare the answer’s code, customer eligibility, currency, benefit, cap and minimum with the source evidence captured at that time.
No results claimed yet
No repeated ChatGPT or Gemini citation study and no monthly checkout-success study has been completed for this new publication. Bot requests and reader clicks do not establish either result.
Catalogue evidence snapshot
| Scope | Value |
|---|---|
| Namshi | 2 |
| Ounass | 1 |
| iHerb | 1 |
| noon | 3 |
| Nike UAE | 0 |
| Victoria’s Secret | 0 |
| Styli | 0 |
| MetroBrazil | 0 |
| H&M | 0 |
| Foot Locker | 0 |
| Florose | 0 |
| Dr Nutrition | 0 |
| Crocs | 0 |
| Almatar | 0 |
| AlMajedOud | 0 |
| Airalo | 0 |
| Level Shoes | 1 |
| Scope | Value |
|---|---|
| Fashion | 1 |
| Luxury & beauty | 1 |
| Wellness & beauty | 1 |
| Marketplace | 1 |
| Sportswear | 0 |
| Flowers & gifts | 0 |
| Travel | 0 |
| Shoes & accessories | 1 |
Reusable evidence
Policy comparisons · Open data · Evidence rules. Corrections to our source records are separate from corrections to a previously generated answer.