Research winning products with AI, for ecommerce stores

You spend evenings clicking through competitor shops and supplier catalogs to spot items worth testing. Hand the messy notes to AI to get one clear comparison table before you pick your next listing.

What to gather first

Links or text from competitor product pages
Supplier price lists and shipping notes
Customer reviews of similar items
Your current list of store categories

Which app

For this one, a plain AI chat window is enough. Open the chat, paste what you gathered, and type the message below.

How to do it

Paste the product text. Copy descriptions, prices, and shipping details from competitor shops. Drop them into the chat window with your supplier costs. Keep raw notes together in one paste.
Ask for a comparison table. Tell AI to sort the details into columns for item name, competitor prices, supplier cost, and customer complaints. AI reads your clump of notes and aligns the details row by row. You get a single draft table back.
Flag common customer complaints. Ask AI to pull recurring buyer gripes from the pasted reviews. AI lists the flaws people mention most often about these products. You see which items might bring chargebacks or refund requests.
Review and pick tests. Read the draft list with your own store in mind. Cross off anything with thin margins or poor feedback. Keep the items that fit your catalog best.

What to type first

I pasted notes from competitor pages, customer reviews, and supplier price sheets for five items. Read these notes and organize them into a comparison table showing product name, competitor prices, supplier cost, and common customer complaints. Group them by category. Do not write marketing copy, do not guess missing prices, and do not publish anything.

Change the words to match your business. AI follows what you say, so say what done looks like.

Before you trust it

Check that supplier costs match your actual supplier sheet.
Make sure competitor prices come directly from the text you pasted.
Confirm customer complaints reflect real buyer words, not invented problems.

Once your list is set, paste the selected item back into chat to draft ad copy and product descriptions.

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