How to Detect Prohibited Keywords in Listings in Batch in Excel
Listing teams often already manage titles and descriptions in spreadsheets before they go live. BatchGPT helps turn that spreadsheet into a faster pre-publication review step by applying one prohibited-keyword prompt across the selected rows.
Why Listing Policy Checks Fit an Excel Batch Workflow
The same compliance logic often needs to be applied to every listing row. That makes keyword and claim screening a practical use case for an add-in that writes review signals directly beside the source text.
How to Use the BatchGPT Excel Add-in for This Workflow
- Write the prompt that tells the add-in what to do with each selected cell value.
- Select the Excel cells or range you want to process. For larger datasets, work in clean batches of rows.
- Choose the output column and adjust optional settings such as reasoning effort or web search when the task really needs them.
- Click Generate so the add-in processes each selected cell separately and writes the result to the output column you chose.
- Review the results in Excel, refine the prompt if needed, and rerun only the rows that need another pass.
Prompt Example for Risky Listing Language
Use concrete policy examples and explicit output labels so flagged rows are easy to triage.
Review this listing text for prohibited keywords or risky claims:
Return labeled output with:
- status (pass or flag)
- prohibited_keywords
- risk_level
- short_reason
Rules:
- Base the answer on the policy guidance provided
- Use pass when no issue is present
- Keep short_reason under 20 wordsSample input row:
A2: Herbal formula with guaranteed cure and no side effects for all ages.Sample output row:
status: flag
prohibited_keywords: guaranteed cure; no side effects
risk_level: high
short_reason: listing includes prohibited medical claims.How to Make Compliance Review More Actionable
Flagging language is only helpful if the outputs are specific enough for the team to fix the row quickly.
- List the prohibited claims, restricted phrases, or platform rules directly in the prompt.
- Use pass, review, or flag labels that match the way your team already triages listings.
- Keep the original listing text untouched and send the review result to a dedicated output column for auditability.
- Remember that policy interpretation may still need human review, especially in regulated categories.
FAQ
Can I use my own prohibited keyword list?
Yes. In fact, the results will be better if you provide your exact banned or risky terms instead of relying on generic policy assumptions.
Can I separate high-risk rows from low-risk ones?
Yes. Return a risk level or escalation label so the sheet can be filtered by priority.
Can this be used before listings go live?
Yes. That is one of the most practical uses: screening titles and descriptions before publication or feed upload.
Will this replace legal or compliance review?
No. It helps surface likely issues quickly, but final compliance responsibility should still sit with the right team.
Add a Faster First-Pass Policy Check to Your Listing Sheet
When listing text is already in Excel, BatchGPT gives teams a practical way to run the same policy-oriented prompt across many rows. Review the flagged output next to the source text and focus human attention where it matters most.
Get started!