How to Summarize Customer Feedback in Google Sheets with AI (2026)

If you are searching for google sheets ai summarize customer feedback, you usually need one thing: turn raw comments into clear themes and next actions without manually reading every row.

The fastest path is to use Sheet Agent inside Gemini AI for Sheets, then run short prompts on selected tabs.

When this workflow is the right fit

• You collect feedback from forms, support tickets, or post-purchase surveys.
• Your comments are spread across multiple tabs and need one summary.
• You need practical output (themes, sentiment, actions), not just a generic paragraph.

Step 1) Prepare your feedback tables

Keep each tab simple: one header row and clear columns (for example Date, Channel, Comment, Rating).

1. Remove fully blank rows.
2. Use consistent column names across tabs where possible.
3. Name tabs clearly (for example: AppStore, Email, LiveChat).

Step 2) Open Sheet Agent and select tabs in the UI

In Google Sheets, go to Extensions → AI for Sheets → Sheet Agent.

1. Click the Sheet selector (the + button in the Agent input row).
2. Tick the tabs you want to include.
3. Click Apply.
4. Run one concise summary prompt.

Summarize customer feedback from the selected sheets.
Return:
1) top 5 themes,
2) sentiment split (positive / neutral / negative),
3) 5 concrete product improvements.

This UI-first flow is usually better than writing long manual range prompts.

Step 3) Ask focused follow-up prompts for decision-ready output

After the first summary, use short follow-ups to make the output easier to act on.

Create a table with columns: Theme, Sentiment, Mention Count, Example Comment, Recommended Action.

Rewrite the findings as a weekly update for a product manager (max 120 words).

List only high-urgency issues that appear in at least 3 comments.

Step 4) Insert the output and keep one source of truth

When the Agent returns a structured table, insert it into the sheet so your team can review and track actions in one place.

If you later need repeatable row-by-row automation, continue with formula reference and AI formula generation workflow.

Quality checklist before you share results

• Theme quality: each theme should map to real comments, not vague labels.
• Sentiment sanity check: spot-check a sample of comments for obvious misclassification.
• Actionability: every suggested action should be specific enough to assign an owner.
• Scope control: keep prompts tied to selected tabs to avoid mixed context.

FAQ

Can I summarize feedback from multiple tabs in one run?

Yes. Use the Sheet selector first, choose the tabs, and run one summary prompt.

Do I need to write manual ranges for multi-tab analysis?

Usually no. For this use case, selecting tabs in the Sheet selector is the fastest and cleanest approach.

Can I attach supporting files (PDF/image) for context?

Yes. The file selector supports PDF/image attachments in the same Agent session, useful when feedback context is outside the table.