The Scenario
You manage keyword strategy for an Amazon brand that sells seasonal products. Your category head asked last Tuesday for a chart showing how monthly search demand has shifted over the past year for your twenty core keywords — she wants to know whether the summer spike you're planning the Q3 launch around is structural or whether last year was an anomaly.
The data is in Jungle Scout. Your twenty keywords are in column A of your workbook. The chart template is already built, waiting for numbers in columns B through M.
The bad version:
- Open Jungle Scout, search the first keyword, navigate to the historical trends view, manually read off twelve months of volume, switch to the workbook, type twelve numbers into the right columns, go back to Jungle Scout.
- Do that twenty times, which is two hundred and forty individual data points entered by hand.
- Get to keyword fourteen, realize the column order in Jungle Scout's trend view doesn't match the month ordering in your workbook, and spend another fifteen minutes figuring out which numbers need to be corrected.
The meeting is Thursday. The data entry isn't the hard part of this analysis — the interpretation is. And the interpretation can't start until the workbook is filled.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook. It reads your keyword list, connects to Jungle Scout, and writes back historical trend data in one operation.
Pull the past 6 months of historical search volume from Jungle Scout for the 15 keywords in column A and write the monthly data starting at column B with month headers in row 1.
SheetXAI reads the keyword list, fetches historical volume per keyword from Jungle Scout, writes month headers into row 1 starting at B1, and fills in the historical volume for each keyword row by row.
What You Get
- Row 1 populated with month labels starting at column B.
- One row per keyword with monthly volume figures aligned to the correct month columns.
- All keywords filled in one operation — the chart template feeds immediately from the data.
- Consistent number formatting across all months so the chart doesn't break on a comma-formatted outlier.
What If the Data Is Not Quite Ready
I want 12 months instead of 6
For each keyword in column A, fetch 12 months of historical search volume from Jungle Scout and write one column per month starting at column B, with month labels in row 1.
The keyword list has some duplicates from a merge
Deduplicate the keyword list in column A, then for each unique keyword fetch 12 months of Jungle Scout historical search volume and write one column per month starting at column B.
I want the data on a separate worksheet to keep the chart worksheet clean
Create a new worksheet called Trend Data, pull the keywords from column A of my Keywords worksheet, fetch 12 months of Jungle Scout historical search volume for each, and write the results with month headers in row 1 and keywords in column A of the new worksheet.
Kill-chain: clean, enrich, flag spikes, all in one shot
For each keyword in column A, fetch 12 months of Jungle Scout historical search volume and write one column per month starting at column B. Then add a column N labeled "Peak Month" with the name of the month where volume was highest, and highlight that cell yellow in each keyword's row.
When you ask for the data transformation and the annotation together, you get a workbook that's ready to present — not one that needs another pass.
Try It
Get the 7-day free trial of SheetXAI and open an Excel workbook with your keyword list, then ask it to pull twelve months of Jungle Scout trend history and lay it out column by column. See also the related spoke on bulk keyword search volume and competition, or return to the Jungle Scout overview.