How to Generate Text with AI in Google Sheets (AITEXT Function Guide)
Learn how to use the AITEXT function to generate marketing copy, summaries, email drafts, and more directly inside Google Sheets. Includes prompt templates and real examples.
This is part of our Complete Guide to AI in Google Sheets.
Text generation is the most common AI task in a spreadsheet. You have data in one column and you need AI-written content in the next: product descriptions, email drafts, summaries, rewrites, classifications, or extraction.
There are a few ways to get there. You could build it yourself with Google Apps Script. You could copy-paste between a chatbot and your sheet. Or you could use a formula that handles everything in one cell.
This guide covers all three approaches, with a focus on getting consistent, high-quality text output at scale.
The Manual Approach: Apps Script + API
If you know JavaScript, you can write a custom function in Google Apps Script that calls an AI provider directly:
function GENERATETEXT(prompt) {
var apiKey = PropertiesService.getUserProperties().getProperty('OPENAI_KEY');
if (!apiKey) throw new Error('API key not set. Open Script Editor to configure.');
var payload = {
model: 'gpt-4o',
messages: [{ role: 'user', content: prompt }],
max_tokens: 500,
temperature: 0.7
};
var options = {
method: 'post',
headers: {
'Authorization': 'Bearer ' + apiKey,
'Content-Type': 'application/json'
},
payload: JSON.stringify(payload),
muteHttpExceptions: true
};
var response = UrlFetchApp.fetch(
'https://api.openai.com/v1/chat/completions', options
);
var result = JSON.parse(response.getContentText());
if (result.error) throw new Error(result.error.message);
return result.choices[0].message.content.trim();
}This works. You can use =GENERATETEXT("Write a description for: " & A2) in a cell and get a result.
But try dragging that formula down 500 rows and the problems start. Apps Script custom functions have a 30-second execution limit per cell. API rate limits reject most of your simultaneous requests. There's no built-in retry logic. If OpenAI is slow or returns an error, the cell just shows #ERROR! with no useful detail. And if you want to switch to Claude or Gemini, you're rewriting the entire function.
For a thorough comparison of the DIY approach vs. managed solutions, read our comparison of custom functions, add-ons, and API approaches.
The SheetMagic Approach: AITEXT
SheetMagic's AITEXT function wraps all of that infrastructure into a single formula. Rate limiting, retries, error recovery, multi-provider support, and batch queuing are handled behind the scenes.
The Basics
Syntax
=AITEXT(prompt, [context], [webSearch])
Parameters:
- prompt (required): Your instruction or question. This is usually a combination of a fixed template and cell references.
- context (optional): Additional context from another cell or range. Useful when your prompt gets long.
- webSearch (optional): Set to
TRUEto enable web search. Only works with OpenAI models (GPT-4o, GPT-4o-mini, GPT-4.1, GPT-5) and Perplexity Sonar models.
Your First Formula
Open any Google Sheet with SheetMagic installed and type this into a cell:
=AITEXT("Write a haiku about spreadsheets")
You should get a result within a few seconds. That's the simplest possible use: a static prompt with no cell references.
Adding Cell References
The real value shows up when you combine a fixed instruction with variable data from other cells:
=AITEXT("Write a 50-word product description for: " & A2)
Now column A contains your product names, and column B generates unique descriptions for each one. Type the formula in B2, drag down to B501, and you've generated 500 product descriptions.
Prompt Engineering for Better Output
The difference between mediocre AI output and production-ready content is the prompt. In a spreadsheet, prompts follow a predictable structure: a fixed instruction template combined with variable cell data. These patterns consistently produce better results.
Be Specific About Format
Vague instructions produce vague results. Tell the AI exactly what you want.
Weak:
=AITEXT("Describe this product: " & A2)
Strong:
=AITEXT("Write exactly 3 sentences describing this product for an e-commerce listing. Focus on benefits, not features. Product: " & A2)
The strong version specifies: format (3 sentences), context (e-commerce listing), approach (benefits not features). The AI has less room to drift.
Include Role Context
Telling the AI who it is shapes the tone and vocabulary of the output.
=AITEXT("You are a senior copywriter at a luxury fashion brand. Write a product description (40-60 words) for: " & A2)
Compare that to the same prompt without the role. The luxury brand copywriter version uses different vocabulary, sentence structure, and emotional register than a generic description.
Provide Examples (Few-Shot Prompting)
If you need a specific output format, show the AI an example of what you want.
=AITEXT("Categorize this support ticket. Categories: Billing, Technical, Feature Request, General. Example: 'I can't log in to my account' = Technical. Example: 'Can you add dark mode?' = Feature Request. Ticket: " & A2)
Two examples are usually enough. Three is better for nuanced categories. More than five starts to eat into your token budget without much improvement.
Chain Multiple Cell References
AITEXT shines when you combine data from several columns into a single prompt:
=AITEXT("Write a product description for " & A2 & ". Target audience: " & B2 & ". Brand voice: " & C2 & ". Length: " & D2 & " words.")
This formula pulls from four columns: product name, audience, voice, and length. Each row can have different parameters, and the AI adapts accordingly.
Constrain the Output
Open-ended prompts produce inconsistent results across rows. Add constraints to keep output uniform:
=AITEXT("Summarize this customer review in exactly one sentence. Do not include opinions or recommendations. Just state the main point. Review: " & A2)
The constraints (one sentence, no opinions, just the main point) reduce variance. When you're processing 500 rows, consistency matters as much as quality.
Practical Use Cases
Marketing Copy at Scale
The scenario: 500 product SKUs need unique descriptions for a new e-commerce catalog.
=AITEXT("Write a compelling 50-word product description for an online store. Highlight the primary benefit and include a subtle call to action. Product: " & A2)
Time comparison: Manual ChatGPT copy-paste takes 7-8 hours for 500 items. AITEXT processes the same batch in 12-15 minutes.
For more ready-to-paste marketing formulas, grab our 50 AI prompt templates for Google Sheets.
Email Drafts and Personalization
The scenario: You have a list of 200 leads with their names, companies, and roles. You need a personalized outreach email for each.
=AITEXT("Write a 3-sentence cold email to " & A2 & ", who is " & B2 & " at " & C2 & ". Mention their role specifically. Suggest a 15-minute call. Be professional but not stiff.")
Each email is unique because the inputs differ. Review the batch for anything that needs a human touch, then send.
Data Summarization
The scenario: 1,000 customer reviews need to be condensed into one-line summaries for a report.
=AITEXT("Summarize this customer review in one sentence. Capture the sentiment and the main topic. Review: " & A2)
This turns a column of paragraphs into a column of scannable one-liners.
Content Rewriting
The scenario: Your help docs were written for technical users. Marketing needs them rewritten for a general audience.
=AITEXT("Rewrite this technical documentation for a non-technical reader. Use simple language and short sentences. Keep the same information. Text: " & A2)
Text Classification
The scenario: 5,000 survey responses need to be tagged by topic.
=AITEXT("Classify this survey response into exactly one category: Product Quality, Customer Service, Pricing, Shipping, or Other. Return only the category name. Response: " & A2)
The instruction to "return only the category name" is critical. Without it, the AI might return a full sentence explanation, which is harder to filter and pivot.
Using Web Search
AITEXT supports real-time web search when you set the third parameter to TRUE:
=AITEXT("What is the current market cap of " & A2, , TRUE)
Web search works with OpenAI models (GPT-4o, GPT-4o-mini, GPT-4.1, GPT-5) and Perplexity Sonar models.
Use cases for web search:
- Pulling current stock prices, company info, or market data
- Researching competitors in real time
- Getting the latest product specs or pricing from public websites
- Fact-checking claims with current sources
When not to use web search: For tasks like copywriting, summarization, or classification where the input data is already in your spreadsheet. Web search adds latency and isn't needed when the AI already has all the context it needs in the prompt.
Choosing the Right Model
The model you select in SheetMagic's settings affects the quality, speed, and cost of AITEXT output.
For general tasks (descriptions, emails, summaries): GPT-4o is the default recommendation. It balances quality and speed well.
For nuanced writing (blog content, brand voice work): Claude Sonnet or Claude Opus produce more natural prose with better tone control.
For high-volume batch work: GPT-4o-mini or Gemini Flash. Faster and cheaper per token. The quality drop is small for simple tasks like classification or summarization.
For tasks needing current information: Perplexity Sonar models with web search enabled.
You can switch models at any time in SheetMagic's settings without changing your formulas.
Handling Large Batches
When you drag AITEXT down hundreds of rows, SheetMagic queues the requests and handles rate limits automatically. A few things improve the experience:
Test on 5 rows first. Get your prompt right before committing to 500 rows. Adjusting a prompt after processing starts wastes tokens.
Use shorter prompts for batch work. A 30-word prompt template processes faster than a 150-word one. Move repeated context (like brand guidelines) into a concise template rather than embedding a full style guide in every cell.
Process in chunks of 500. Review results after each chunk. This gives you a chance to refine the prompt if output quality drifts.
For a detailed guide on managing large batches, see how to process 1,000+ rows without hitting limits.
Common Mistakes and Fixes
Output is too long or too short. Add explicit length constraints: "Write exactly 2 sentences" or "Keep under 50 words."
Output is inconsistent across rows. Add more structure to the prompt. Use examples, specify format, and constrain the output type.
Output includes unwanted explanations. Add "Return only the [result]. Do not explain." to your prompt.
Formula returns an error. Check that SheetMagic is installed and authorized. For BYOK users, verify your API key is valid. See our BYOK setup guide if you're using your own keys.
Output seems generic or low-quality. Add role context, examples, and specific constraints. The more the AI knows about what you want, the better the output.
10 Ready-to-Paste Prompt Templates
Copy any of these into your sheet and adjust the cell references.
1. Product description:
=AITEXT("Write a 50-word product description for an online store. Focus on benefits. Product: " & A2)
2. SEO meta description:
=AITEXT("Write a 155-character meta description for a page about: " & A2 & ". Include a call to action.")
3. Cold email:
=AITEXT("Write a 3-sentence personalized outreach email to " & A2 & " at " & B2 & ". Suggest a 15-minute call.")
4. Support ticket classification:
=AITEXT("Classify as Billing, Technical, Feature Request, or General. Return only the category. Ticket: " & A2)
5. Review summary:
=AITEXT("Summarize this review in one sentence. Capture sentiment and topic. Review: " & A2)
6. Content rewriting:
=AITEXT("Rewrite for an 8th-grade reading level. Keep the same meaning. Text: " & A2)
7. Feature-to-benefit conversion:
=AITEXT("Convert this product feature into a customer benefit statement: " & A2)
8. Ad copy:
=AITEXT("Write a Google Ads headline (max 30 chars) and description (max 90 chars) for: " & A2 & ". Format: Headline | Description")
9. FAQ generation:
=AITEXT("Generate one FAQ with a question and 2-sentence answer about: " & A2)
10. Sentiment analysis:
=AITEXT("Rate the sentiment of this text as Positive, Negative, or Neutral. Return only the rating. Text: " & A2)
For 40 more templates across sales, HR, and data analysis, see our 50 AI prompt templates for Google Sheets.
What AITEXT Can't Do
AITEXT generates text. It doesn't create structured lists in separate cells (use AILIST or AILISTH for that), generate images (use AIIMAGE), translate with a dedicated function (use AITRANSLATE), or analyze images (use GPTV).
It also can't access your other spreadsheet data unless you explicitly pass it as a cell reference. The AI only sees what's in the prompt.
For the complete picture of everything AI can do inside Google Sheets, see The Complete Guide to AI in Google Sheets.
When to Chat Instead of Formula
Not every text generation task needs a formula. If you're doing a one-off analysis, exploring your data, or running a multi-step workflow, SheetMagic's AI Chat Agent lets you describe what you need in plain English. The Chat Agent can read your sheet, generate text, and write results, all through conversation. Use formulas for repeatable bulk work; use the Chat Agent for everything else.
Spreadsheets shouldn't limit what you can do. SheetMagic brings AI and web scraping to your workflow, whether you're generating content, scraping data, or automating repetitive tasks.
If that sounds like the kind of tooling you want to use, try SheetMagic or watch our tutorials.
