The recommendation favors the method that reduces noise first: category browsing when the item type is known, image-led discovery when words are missing, and narrow text search after better product terms appear.
Use spreadsheet-style browsing when the item type is clear
If you know you want shoes, a hoodie, a jacket, pants, or a bag, start from a category. This keeps the comparison clean. You can judge similar items against each other instead of bouncing between unrelated results that happen to share a style word.
Use image search when words are the weak point
Sometimes the product is easy to recognize but hard to name. Maybe the cut, stitching, fabric, or hardware is what matters. In that case, image search can help you discover better words. Once you have those words, return to category browsing or Findsindex search with a clearer phrase.
Do not mix both methods too early
Using every method at once feels thorough, but it usually creates more noise. Pick one first pass. Keep a small shortlist. Then use the second method only to check whether you missed a better term or category.
| Situation | Better first move | Next step |
|---|---|---|
| You know the product family | Category route | Compare within one lane. |
| You only have a photo | Image-led discovery | Extract usable item words. |
| You have exact words | All products search | Search a narrow phrase. |
Which one creates a better user experience?
For most litbuy spreadsheet browsing, categories are the calmer first step. They give the search structure. Image search is best as a support tool, especially when you have a screenshot or reference photo but no useful product name.
The best workflow is usually category first, image search second, then a narrow text search once you know what to call the item.
