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Google Sheets•9 min read

Google Sheets AI Function: How to Use =AI() in Your Spreadsheets

Use the Google Sheets AI function =AI() for text, summarization, sentiment, categorization via natural language.

SheetHub••9 min
You have 500 customer reviews that need categorizing into Positive, Neutral, and Negative. You could read them one by one — or you could write a single formula that does it instantly. Google Sheets now ships with a native AI function called =AI() (also callable as =Gemini()). It is not a sidebar add-on or a separate panel. It is a first-class worksheet function that generates text, summarizes data, analyzes sentiment, and categorizes content using natural language prompts directly in a cell. This guide covers what =AI() can do, how to write prompts, and when to use it.

What Is the =AI() Function?

=AI() is Google's native LLM integration inside the spreadsheet grid. Type it into any cell like you would SUM or VLOOKUP, and it sends your prompt — plus optional cell references — to Google's LLM, then returns the result. Key difference from Gemini sidebar: If you have used the Gemini AI in Google Sheets feature before, you know it works through a side panel where you describe what you want and Gemini builds formulas or suggests actions. =AI() is different — it lives in the cell itself. You write it like any other formula, and it returns text directly.
FeatureGemini Sidebar=AI() Function
AccessClick Gemini icon in toolbarType =AI() in any cell
OutputFormula, chart, or suggestionText result in the cell
AutomationManual trigger per requestUpdates when source data changes
ComposabilityStandaloneWorks inside IF, FILTER, QUERY
 =AI() is available to Google Workspace accounts with the Gemini add-on enabled. As of mid-2026, the function is rolling out gradually — availability depends on your Workspace plan (Business Starter, Standard, Plus, or Enterprise), admin settings, and region. If you do not see it yet, check your Workspace admin console under Gemini settings, or try with a personal Google account where rollout may differ.

Basic Usage: Text Generation

The simplest form of =AI() takes a single prompt string and returns generated text.

Syntax

=AI(prompt, [data])
ParameterRequiredDescription
promptYesText instruction in natural language
dataNoOptional cell reference or range to include

Example: Product Description Generator

Say you run an e-commerce store. Column A holds product names, and you want AI-written descriptions. 
=AI("Write a one-sentence product description for: ", A2)
This generates a unique description for each product by combining your prompt template with the value in A2.

Using Cell References in Prompts

You can reference cells directly inside the prompt string using the ampersand (&) or CONCATENATE: 
=AI("Write a marketing tagline for " & A2 & " in the " & B2 & " category")
With A2 = "Ergonomic Chair" and B2 = "Office Furniture", the function returns something like: "Work smarter and sit more comfortably with the Ergonomic Chair — the essential upgrade for any modern office."

Summarization

The real power of =AI() shows when you pass a range of data. The function can analyze multiple cells and return a condensed result.

Syntax

=AI("instruction for summarization", range)

Example: Customer Feedback Summary

Column A contains 50 customer reviews. You want a two-sentence summary of the overall sentiment. 
=AI("Summarize these customer reviews in 2 sentences: ", A2:A51)
The function reads all 50 cells, identifies common themes, and returns a concise summary. No need to copy-paste into ChatGPT — the formula updates automatically when new reviews arrive.

Practical Scenario: Survey Analysis

After a product launch, your team collected 200 survey responses in column B. Instead of reading every row: 
=AI("What are the top 3 complaints mentioned in these survey responses?", B2:B201)
The response highlights recurring issues like pricing concerns, delivery delays, or feature requests — all from a single formula.

Sentiment Analysis

=AI() can classify text as Positive, Neutral, or Negative. This is useful for social media monitoring, support ticket triage, or product review filtering.

Syntax

=AI("Sentiment of this text: ", cell_reference)

Example: Support Ticket Triage

Column C holds support ticket descriptions. You want to flag urgent negative tickets automatically. 
=AI("Sentiment of this support ticket: ", C2)
Returns one of: Positive, Neutral, or Negative. Combine this with conditional formatting to highlight negative tickets in red — or use FILTER to extract them to a separate sheet.

Batch Sentiment with Array Formulas

Wrap =AI() in ARRAYFORMULA to analyze an entire column at once: 
=ARRAYFORMULA(AI("Sentiment of this text: ", C2:C100))
Each row in column D now shows the sentiment for the corresponding ticket in column C. This gives you an instant heatmap of customer satisfaction.

Categorization

The =AI() function can group unstructured data into predefined categories. This replaces manual sorting that would normally take hours.

Syntax

=AI("Categorize this item: ", cell_reference)
Note: The exact syntax for categorization depends on Google's rollout. Some accounts support an optional third parameter for category hints — test on your own sheet first.

Example: Automated Expense Classification

Column E contains a list of business expenses. You want each transaction categorized as Food, Travel, Office, or Software. 
=AI("Categorize this expense as Food, Travel, Office, or Software: ", E2)
A row with "Uber ride to client meeting" returns Travel. "Monthly Slack subscription" returns Software. "Team lunch at Italian place" returns Food. This works on descriptions that are too varied for a simple IF or VLOOKUP. The AI understands context — it knows "Starbucks" is Food and "Adobe Creative Cloud" is Software.

Combining =AI() with Other Functions

The real magic starts when =AI() plays well with the rest of Google Sheets. Because it returns text, you can nest it inside logical and filtering functions.

FILTER + AI

Find all products whose descriptions mention a specific topic: 
=FILTER(A2:A100, AI("Does this product description mention sustainability?", B2:B100) = "Yes")
This scans 99 product descriptions and returns only the rows where the AI detects sustainability keywords — no manual keyword lists needed.

IF + AI

Create dynamic labels based on data context: 
=IF(AI("Is this customer spending over $1,000?", D2) = "Yes", "Premium", "Standard")
The AI reads the dollar amount in D2 and classifies it. This is useful when your threshold is not a simple number comparison — for example, "Is this a high-risk transaction?" based on multiple factors visible in the cell.

QUERY + AI

Use AI to preprocess data before running SQL-style queries. See the Google Sheets QUERY Function Guide for a full reference — then combine it with an AI-generated column for smarter filtering. The FILTER Function in Google Sheets guide covers more patterns for extracting matching rows.

Limitations and Best Practices

=AI() is powerful, but it has sharp edges.

Rate Limits

Google imposes rate limits on AI function calls. Running =AI() on 10,000 rows at once will likely hit the quota. Use AI functions selectively — pre-filter your data first, then apply =AI() to the subset.

Data Privacy

=AI() sends your prompt text and referenced cell data to Google's LLM servers. Do not use this function with personally identifiable information (PII), financial account numbers, or confidential business data unless your Workspace admin has confirmed data handling agreements in place.

When NOT to Use =AI()

Use CaseBetter Approach
Simple math (SUM, AVERAGE)Built-in functions
Exact match lookupVLOOKUP, INDEX+MATCH, XLOOKUP
Boolean logic (IF, AND, OR)Native logical functions
Date arithmeticDATEDIF, NETWORKDAYS
Text extraction (left 3 chars)LEFT, MID, RIGHT, REGEXEXTRACT
 =AI() adds latency. Each call takes 1–3 seconds. For a spreadsheet that recalculates on every edit, dozens of AI calls will slow things down significantly.

Volatility

AI functions recalculate every time Sheets detects a change — even unrelated edits. This can slow down your spreadsheet significantly if you have dozens of =AI() calls. How to manage this:
  1. Freeze the results. Once =AI() returns the value you need, select the cell, copy (Ctrl + C), and paste as values (Ctrl + Shift + V or right-click → Paste Special → Values only). This replaces the formula with plain text that never recalculates.
  2. Limit the range. Do not apply =AI() to 10,000 rows at once. Pre-filter your data first, then apply =AI() to the subset. Use FILTER or QUERY to narrow down rows before feeding them to AI.
  3. Schedule recalculation manually. Keep =AI() formulas in a separate sheet and turn off auto-calculate for that sheet when editing other parts of the workbook.

Common Prompts Cheat Sheet

GoalFormula
Generate description=AI("Describe this product in 1 sentence: ", A2)
Summarize feedback=AI("Summarize these comments in 2 bullet points", A2:A20)
Detect sentiment=AI("What is the sentiment of this text?", B2)
Categorize items=AI("Categorize as Red, Blue, or Green: ", C2)
Extract keywords=AI("Extract 3 keywords from: ", D2)
Translate text=AI("Translate to Spanish: ", E2)
Spell check=AI("Fix spelling errors in: ", F2)
Generate email=AI("Write a follow-up email about: ", G2)

AI Prompt Callout

You have seen concrete examples of =AI() in action throughout this guide. Now imagine you have a dataset that does not match any of the scenarios above. Describe your problem to an AI assistant like ChatGPT, Gemini, or Claude:
"I have a column of customer feedback comments. I want to classify each one as 'Bug Report', 'Feature Request', 'Question', or 'Praise'. The data is in column A from rows 2 to 500. Write me a =AI() formula that returns the classification for each row."
The assistant will return a formula similar to: 
=AI("Classify this customer feedback as Bug Report, Feature Request, Question, or Praise: ", A2)
You can then drag it down your column. The key is to be specific about your categories and your data structure — just like the examples shown above.

Summary

The =AI() function brings LLM-powered text generation directly into Google Sheets cells. Unlike the Gemini sidebar, it works like any other formula — composable, automatable, and updateable. Start with simple text generation. Move to summarization for survey data. Add sentiment analysis for customer feedback. Layer categorization for expense tracking. And once you are comfortable, nest =AI() inside FILTER, IF, and QUERY to build intelligent spreadsheets that process natural language as easily as numbers.
Article Topics
#google-sheets#formulas#guide#advanced

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