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 sheet. 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 sheet, 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 sheet, 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 sheet is filled.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It reads your keyword list, connects to Jungle Scout, and writes back historical trend data in one operation.
For each keyword in column A of my sheet, 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.
SheetXAI reads the keyword list, fetches twelve months of trend data 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 (e.g., May 2025, Jun 2025 … Apr 2026) starting at column B.
- One row per keyword with twelve monthly volume figures aligned to the correct month columns.
- All twenty 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 only want the past 6 months, not 12
Pull the past 6 months of historical search volume from Jungle Scout for the keywords in column A and write the monthly data starting at column B with month headers 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 tab to keep the chart tab clean
Create a new tab called Trend Data, pull the keywords from column A of my Keywords tab, 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 tab.
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 sheet that's ready to present — not one that needs another pass.
Try It
Get the 7-day free trial of SheetXAI and open a Google Sheet 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.