The AI should review an Amazon listing URL and score the listing from 1–10 across the key conversion elements that determine whether a shopper is likely to buy.
The scoring should be strict. A listing should not receive a high score just because it looks decent. It should only score highly if it clearly communicates why the product is better, builds trust, reduces comparison friction, and passes the 3-second shopper clarity test.
The AI should score each section separately, then calculate a final weighted score.
Use this weighted scoring model:
| Category | Weight |
|---|---|
| Reviews & Ratings | 20% |
| Main Image | 15% |
| Gallery Images | 15% |
| A+ / Premium A+ Content | 15% |
| Messaging & USP Clarity | 15% |
| Videos | 7.5% |
| Comparison Content | 5% |
| Photography / Lifestyle Proof | 3% |
| Branding Quality | 3% |
| Simplicity / Skimmability | 1.5% |
Final score should be calculated as:
Final Score = Sum of each category score x category weight
Then convert to:
The AI should check: