How to Use the Google Sheets AI Function

What the AI function does

Google rolled out a native AI function in Sheets that connects directly to Gemini. You type a prompt in a cell, reference your data, and get a result. No extensions, no API keys, no code. The function name is either =AI() or =GEMINI(), and both work identically.

This matters because it removes the friction that kept most spreadsheet users away from AI tools. You do not need to copy data into ChatGPT, paste results back, or install a third-party add-on. The AI lives inside the formula bar.

Requirements before you start

The AI function is available to users on Google Workspace Business Standard, Business Plus, Enterprise Standard, Enterprise Plus, and Google One AI Premium plans. Free Gmail accounts do not have access as of early 2026.

To check if you have access, open any Google Sheet, click on an empty cell, and type =AI("hello"). If the function is recognized, you are set. If it returns a NAME error, your plan does not include it or your Workspace admin has not enabled AI features.

You also need an active internet connection. The function sends your prompt and referenced cell data to Google's servers for processing, so it will not work offline.

Basic syntax and your first formula

The syntax follows this pattern:

=AI(prompt, [cell_reference])

The first argument is your instruction as a quoted string. The second argument is optional and points to the cell or range containing the data you want the AI to work with.

A minimal example:

=AI("Write a one-sentence product description for a wireless mouse")

This returns a generated sentence directly in the cell. To work with existing data in your sheet:

=AI("Summarize this customer feedback in under 20 words", A2)

Here, A2 contains raw feedback text, and the formula produces a short summary.

Five practical formula patterns

These patterns cover the most common tasks that analysts, ops managers, and founders run into when working with messy data in spreadsheets.

1. Categorize free-text entries

If column A holds product return reasons typed by customers, this formula assigns a category:

=AI("Classify this return reason into one of these categories: Defective, Wrong Size, Changed Mind, Shipping Damage. Return only the category name.", A2)

Drag the formula down to categorize every row. The key is constraining the output. Without explicit instructions to return only the category name, the model sometimes adds explanations you do not want.

2. Extract structured data from unstructured text

Suppose column A contains email bodies from vendor invoices:

=AI("Extract the invoice number, total amount, and due date from this email. Return as: Invoice: [number], Amount: [amount], Due: [date]", A2)

This turns messy email text into a consistent format you can parse further with standard Sheets functions like SPLIT or REGEXEXTRACT.

3. Sentiment scoring

For customer reviews in column A:

=AI("Rate the sentiment of this review as Positive, Neutral, or Negative. Return only the rating.", A2)

Pair this with COUNTIF to build a quick sentiment dashboard without any external tool.

4. Generate short descriptions from raw data

If columns A through D contain product name, material, color, and dimensions:

=AI("Write a 15-word product listing description using this data", A2:D2)

This is useful for populating e-commerce listings or internal catalogs from structured specs.

5. Clean and standardize messy entries

For inconsistent address formats in column A:

=AI("Reformat this address into a standard US mailing format: Street, City, State ZIP", A2)

This handles variations like missing commas, abbreviated states, or jumbled line breaks.

Handling common issues

Inconsistent outputs across rows. The AI function is non-deterministic. Running the same prompt twice on the same data can produce slightly different wording. For classification tasks, add explicit constraints: "Return ONLY one of these exact values: X, Y, Z." This reduces drift but does not eliminate it entirely.

Rate limits and slow responses. Google throttles AI function calls, especially on sheets with hundreds of formulas. If you see loading spinners that never resolve, reduce the number of AI formulas recalculating at once. One approach: paste results as values for completed rows and only keep live formulas on new data.

Blank or error outputs. If a cell returns empty or an error, the prompt may be too vague, or the referenced cell might contain formatting the model cannot parse. Check that your source cells contain plain text, not rich text or embedded objects.

Privacy considerations. Every cell reference in an AI formula gets sent to Google's servers. Do not use the AI function on sheets containing personally identifiable information, financial account numbers, or any data subject to regulatory restrictions unless your Workspace agreement covers AI processing.

When the AI function falls short

The function works well for text transformation tasks on individual cells or small ranges. It is not designed for numerical analysis, statistical calculations, or operations across large datasets. If you need to analyze trends in 10,000 rows of sales data, the AI function is the wrong tool. You would be better served by pivot tables, built-in Sheets functions like QUERY, or an actual analytics platform.

It also cannot access external data sources, call APIs, or trigger actions. It reads what is in your sheet and returns text. For workflows that require pulling data from a database, running statistical models, or producing interactive charts from a single prompt, a dedicated data analysis tool is a better fit. VSLZ, for example, handles end-to-end analysis from a file upload with no formula writing needed.

The function does not remember context between cells. Each formula is an independent call. If you need the AI to reason across your entire dataset rather than cell by cell, you will hit the limits of this approach quickly.

Tips for writing better prompts

Keep prompts under 50 words. Longer prompts do not reliably improve output quality and sometimes confuse the model. Specify the exact output format you want: "Return only the number," "Use this format: [X] - [Y]," or "Answer in one word." This makes downstream processing far easier.

Use cell references for variable data and keep the instruction text constant. This pattern produces more consistent results than embedding variable data directly in the prompt string.

Test your formula on 5 to 10 rows before dragging it across your full dataset. This lets you catch prompt issues early without burning through rate limits.

Combining AI formulas with standard Sheets functions

The AI function returns plain text, which means you can wrap it with any standard Sheets function. Useful combinations:

=LEN(AI("Summarize this in one sentence", A2)) to check output length.

=IF(AI("Is this review positive or negative? Answer with one word.", A2)="Positive", 1, 0) to convert sentiment into a numeric flag for aggregation.

=SPLIT(AI("Extract name and email, separated by a comma", A2), ",") to split AI output into multiple columns.

These compositions let you build lightweight data pipelines entirely within Sheets, no scripting required.

What to do next

Start with a single column of messy text data you already have, such as customer feedback, vendor emails, or product descriptions. Apply one of the formula patterns above, test it on a few rows, and iterate on your prompt until the output is consistent. Once you have a working pattern, you can scale it across your dataset and combine it with standard Sheets functions to build simple automated workflows directly in your spreadsheet.