Guide: Using AI in Excel

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Guide: Running GPT Inside Your Spreadsheets for Bulk Tasks

Understanding Spreadsheet-Integrated AI

Many teams export data from spreadsheets to external tools when they need to process text at scale—generating SEO metadata, translating content, analyzing sentiment, or classifying customer feedback. This creates workflow friction and version control issues.

Talarian's "GPT for Work" add-ons bring GPT functionality directly into Google Sheets and Microsoft Excel. This enables bulk text processing without leaving your spreadsheet environment, maintaining your existing workflows while adding AI capabilities for tasks that would otherwise require manual effort or external platforms.

This guide covers installation, setup, and three practical applications: SEO metadata generation, product copy localization, and review sentiment analysis.

What You'll Need

Account Access

  • Google account (for Google Sheets integration)

  • Microsoft account (for Excel integration)

  • Permission to install add-ons in your organization

Technical Considerations

  • Corporate firewall users may need IT approval for add-on domain access

  • Confirm your organization allows third-party add-ons before beginning

Installation: Google Sheets

Step 1: Install the Add-On

Open Google Sheets and navigate to the Google Workspace Marketplace. Search for and install "GPT for Sheets™ and Docs™".

Step 2: Access the Tool

In any Sheet, go to Extensions → GPT for Sheets and Docs → Open. A sidebar will appear with the tool interface.

Step 3: Select Your Working Mode

The add-on offers three approaches:

Agent Mode: Interactive chat interface for exploring and creating columns dynamically

Bulk Tools: Consistent prompt execution across multiple rows simultaneously

GPT Functions: Formula-based approach using =GPT(...) syntax in cells

Installation: Microsoft Excel

Step 1: Install the Add-In

Open Excel and navigate to Home → Add-ins. Search for "Talarian / GPT for Excel Word". Install and accept the required permissions.

Step 2: Enable in Your Workbook

Open your target workbook and access the add-in from the ribbon (Home → GPT for Excel Word). Confirm the add-in panel is active before using GPT formulas.

Selecting Your Working Mode

Agent Mode

Best for: Exploratory work where final format is undefined

Use when you need to:

  • Create new output columns interactively

  • Generate initial results for review

  • Adjust formatting based on spot-checking

Bulk Tools Mode

Best for: Consistent execution at scale

Use when you have:

  • Defined input columns with clear structure

  • Strict output format requirements

  • Hundreds or thousands of rows to process

GPT Functions Mode

Best for: Cell-level precision and control

Use formulas when you need:

  • Predictable, repeatable behavior per cell

  • Easy drag-down functionality across rows

  • Spreadsheet-native auditing capabilities

Application 1: SEO Metadata Generation

Business Context

For product catalogs or content inventories requiring SEO-optimized titles and descriptions at scale.

Sheet Structure

  • Column A: Primary Keyword

  • Column B: Page Topic / Product

  • Column C: USP / Notes

  • Column D: Meta Title (output)

  • Column E: Meta Description (output)

Meta Title Formula

Place in cell D2:

=GPT("Write an SEO meta title (max 60 chars). Include the primary keyword. UK English. Tone: clear, premium, not salesy.", A2&" | "&B2&" | "&C2, 0.4)

Meta Description Formula

Place in cell E2:

=GPT("Write an SEO meta description (max 155 chars). Include the primary keyword once, add a benefit + soft CTA. UK English.", A2&" | "&B2&" | "&C2, 0.5)

Quality Assurance Checklist

  • Verify title ≤ 60 characters

  • Verify description ≤ 155 characters

  • Confirm keyword appears naturally

  • Check for spammy phrasing (excessive caps, superlatives)

  • Spot-check 10 rows before applying to entire sheet

Application 2: Product Copy Localization

Business Context

Translating product content while maintaining brand term consistency and regional formatting preferences.

Sheet Structure

  • Column A: EN Copy

  • Column B: DE (German output)

  • Column C: FR (French output)

  • Column D: ES (Spanish output)

Translation Formula (German Example)

Place in cell B2:

=GPT_TRANSLATE(A2, "German", "English", "Use informal 'du'. Keep brand names unchanged. Keep measurements as-is.")

Repeat for additional languages by modifying the target language parameter.

Quality Assurance Checklist

  • Maintain glossary tab for terms that must never be translated

  • Verify units and measurements remain accurate

  • Check decimal format conventions by region

  • Review regulated wording for compliance (particularly food, supplements, health claims)

Application 3: Review Sentiment Analysis

Business Context

Converting unstructured customer feedback into structured, actionable data for product and operations improvements.

Sheet Structure

  • Column A: Review Text

  • Column B: Sentiment (output)

  • Column C: Main Issue Tag (output)

  • Column D: 1-sentence Summary (output)

Sentiment Classification Formula

Place in cell B2:

=GPT_CLASSIFY(A2, "Positive, Neutral, Negative", "Return only the label.")

Issue Categorization Formula

Place in cell C2:

=GPT_CLASSIFY(A2, "Taste, Shipping, Packaging, Price, Effectiveness, Other", "Pick the best single category.")

Summary Generation Formula

Place in cell D2:

=GPT("Summarize this review in 1 sentence. Keep the key complaint/praise.", A2, 0.2)

Analysis Workflow

  1. Build pivot table showing percentage negative by tag

  2. Filter for "Negative + Packaging" to identify quick product or operations fixes

  3. Use summaries as qualitative evidence for listing improvements

  4. Track trends over time to measure impact of changes

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About The Writer:

Jo Lambadjieva is an entrepreneur and AI expert in the e-commerce industry. She is the founder and CEO of Amazing Wave, an agency specializing in AI-driven solutions for e-commerce businesses. With over 13 years of experience in digital marketing, agency work, and e-commerce, Joanna has established herself as a thought leader in integrating AI technologies for business growth.

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