For products that others have put on the shelves, Amazon’s A9 algorithm will give the most suitable images for all keyword combinations. Take a T-shirt from the “Prinstory” store as an example, the listing interface.
This listing has a variety of colors and sizes, and the products are obviously different, so the results for different keyword combinations in the search column will be different.
When typing “Womens Short Sleeve Casual Cold Shoulder Loose BlouseShirts” into a search engine.
You can see the following links and main image on the homepage.
When we enter “tunic top casual Blouse Shirts” again.
You can see the following links and main image on the homepage.
By analogy, different keyword combinations and the A9 algorithm will give different pictures and links. Therefore, for products with multiple colors and multiple sub-variants, different sub-products will have different sub-products when other operations have already put them on the shelves. The keywords need to be consistent with the search results of A9.
Take the above T-shirt as an example. The two have different results due to different keyword inputs. So for the first black sub-variant, the sub-keywords need to surround “short sleeve” or “cold” Shoulder” to enter For the second sub-variant, it is necessary to enter around “tunic top”.
Take clothing products as an example. The products basically have a total of 4 sizes from S to In addition to selecting different sub-variant keywords, you can also fill in sub-product keywords based on different main images of the same sub-product.