11 AI Prompts Every Amazon Seller Should Run Weekly

1. Find what actually moved

Compare last 30 days to the previous 30 days. Show the 10 SKUs with the biggest drop in net profit, with net sales, ad spend, units and contribution margin for both periods.

Ranking by profit change rather than sales change filters out the SKUs that only look busy. The paired columns let you see instantly whether the cause is volume, price or spend.

2. Ask why, on one SKU

For the worst SKU in that list, explain the movement: traffic, conversion rate, average price, buy box share, promotions, ad spend and rank, this period versus last.

This is the follow-up that stops the guesswork. A conversion drop with stable traffic is a listing or price problem; a traffic drop with stable conversion is a rank or ad problem.

3. Catch the money-losers

List every SKU with negative net profit over the last 60 days, sorted by total loss, with units sold and the largest fee category for each.

The fee column turns a list into a plan: oversize fulfilment, storage and returns each imply a different fix.

4. Negative keyword candidates

Show customer search terms from the last 30 days with more than $75 spend and zero orders, ranked by spend, with clicks and CPC.

This is the highest-return prompt in the list. The threshold and the zero-order filter run server side, so you get a short actionable table instead of thousands of rows.

5. Spend above break-even

Which campaigns had an ACoS above the break-even ACoS of the products they advertise last month? Show spend, sales, ACoS and contribution margin.

ACoS alone cannot answer this. It only works when the assistant can reach fee and COGS data alongside ad data.

6. Promote the winners

From auto campaigns in the last 60 days, show search terms with at least 3 orders and an ACoS below 20%, so I can promote them to exact match.

The discovery half of the same report. Most sellers run the waste query and forget this one.

7. What runs out first

List SKUs with fewer than 30 projected days of inventory, sorted ascending, with sales velocity, available units and incoming units.

Projected days of cover, not raw units, is the reorder trigger. Incoming units in the same table stops you double-ordering.

8. Dead stock

Show FBA SKUs with stock on hand and no sales in the last 30 days, with units held and estimated monthly storage cost.

Pairing units with storage cost turns a cleanup task into a ranked one.

9. Silent revenue leaks

Which of my listings are currently suppressed, not buyable or search suppressed? Rank by trailing 90-day sales so I fix the expensive ones first.

Severity alone ranks by Amazon's view. Ranking by your sales ranks by yours.

10. Buy box loss

Show ASINs where I no longer own the buy box, with the current buy box owner, their price and my price.

The price gap column tells you immediately whether it is a hijacker problem or a pricing problem.

11. Weekly business briefing

Give me a Monday briefing for last week versus the week before: net sales, net profit and margin by marketplace; the 3 biggest profit gainers and losers by SKU; any SKU with under 21 days of cover; any suppressed or non-buyable listing above $500 in trailing sales; and search terms over $50 spend with zero orders. Keep it under 400 words and end with the three actions you would take first.

It bundles five tool calls into one artefact and forces a prioritised recommendation at the end. The word limit matters, otherwise you get a report nobody reads.