You have a spreadsheet full of data. Product names that need descriptions. Leads that need personalized emails. Reviews that need sorting. You could open ChatGPT and copy-paste each row one at a time. Or you could type one formula, drag it down, and let every row handle itself.
This is a collection of 50 ready-to-use =AITEXT() prompts, organized by what you need to get done. Each one is a working formula you can paste right into your sheet. Point it at your data, drag down, and move on. If you are new to SheetMagic, check out the getting started guide first. Installation takes 60 seconds.
Every prompt uses cell references so you can process entire columns at once. The second argument in =AITEXT("prompt", A2) feeds whatever is in A2 as context to the AI. Write the formula once in row 2, drag to row 500, and each row runs on its own data.
Content creation (templates 1-10)
These prompts help you generate marketing copy, blog content, social media posts, and product descriptions from data you already have.
1. Product description from features
=AITEXT("Write a 2-sentence product description for an e-commerce listing. Highlight the key benefit. Be specific, not generic.", A2)A2 contains a product name and feature list. Returns a concise description ready for your storefront.
2. Blog post outline
=AITEXT("Create a 5-section blog post outline for the topic below. Each section should have a heading and a one-sentence description of what it covers. Format as a numbered list.", A2)A2 contains your blog topic. Returns a structured outline you can hand off to a writer or expand with more AITEXT calls.
3. Social media caption (LinkedIn)
=AITEXT("Write a LinkedIn post (under 200 words) about the topic below. Open with a hook question. End with a call to action. Professional but conversational tone.", A2)A2 contains the core message or announcement. Returns a ready-to-post LinkedIn caption.
4. Email subject line variations
=AITEXT("Generate 5 email subject lines for a promotional email about the product below. Mix curiosity, urgency, and benefit-driven approaches. One per line, no numbering.", A2)A2 contains the product or offer details. Returns 5 subject line options in a single cell.
Want each subject line in its own cell instead? Use =AILIST(). The list extraction guide walks you through the full pattern.
5. Meta description for a webpage
=AITEXT("Write a meta description (under 155 characters) for a webpage about the topic below. Include the primary keyword naturally. Make it compelling enough to click.", A2)A2 contains the page topic or title. Returns an SEO-ready meta description.
6. Product review response
=AITEXT("Write a short, professional reply to this customer review. Thank them for the feedback. If the review is negative, acknowledge the issue and offer to help. Keep it under 75 words.", A2)A2 contains the customer review text. Returns a brand-appropriate response.
7. Ad copy (Google Ads headline)
=AITEXT("Write 3 Google Ads headlines (max 30 characters each) for the product below. Focus on benefits, not features. One per line.", A2)A2 contains the product name and value proposition. Returns 3 headlines within character limits.
8. Press release summary
=AITEXT("Write a 3-sentence press release summary for the announcement below. Include who, what, and why it matters. AP style, no jargon.", A2)A2 contains the full announcement details. Returns a tight press-ready summary.
9. FAQ answer
=AITEXT("Write a clear, helpful answer to this customer FAQ question. Keep it under 100 words. Do not use filler phrases like As an AI or In conclusion.", A2)A2 contains the FAQ question. Returns a direct answer suitable for a help center or product page.
10. Call-to-action button text
=AITEXT("Suggest 5 call-to-action button labels for a landing page selling the product below. Each label should be 2-5 words. Action-oriented. One per line.", A2)A2 contains the product or service description. Returns 5 CTA options.
You can try all of this on the free tier. You get 3,000 one-time trial tokens, which is enough to test a handful of these templates on real data. No credit card needed. When you are ready to process full columns, pick a plan that fits your volume.
Data analysis (templates 11-15)
These prompts turn raw data into useful insights right inside your spreadsheet.
11. Trend identification
=AITEXT("Analyze the following monthly revenue data. Identify the trend (growing, declining, or flat), any seasonal patterns, and the single most notable anomaly. Keep the analysis under 75 words.", A2)A2 contains a series of monthly figures. Returns a concise trend analysis.
12. Outlier explanation
=AITEXT("This data point is significantly different from the others in its group. Suggest 3 possible explanations for why this value is an outlier. Be specific to the data context.", A2)A2 contains the outlier value and surrounding context. Returns plausible explanations.
13. Data quality assessment
=AITEXT("Review this row of data for quality issues: missing fields, inconsistent formatting, impossible values, or obvious typos. List any problems found. If the data looks clean, say Clean.", A2)A2 contains a row of data. Returns a quality check suitable for flagging rows that need manual review.
14. KPI summary from raw numbers
=AITEXT("Given these metrics, write a one-paragraph executive summary suitable for a weekly report. Focus on what changed, why it matters, and what action to take. No bullet points.", A2)A2 contains KPI values (e.g., revenue, churn, signups). Returns a narrative summary.
15. Survey response theme extraction
=AITEXT("Read this open-ended survey response and identify the primary theme in 2-3 words. Return only the theme label, nothing else.", A2)A2 contains a free-text survey answer. Returns a short label you can use for grouping and filtering.
Combine this with Google Sheets filters and you can categorize hundreds of survey responses in minutes. For structured multi-field extraction, see how to extract lists with AI.
Research (templates 16-20)
Pull structured knowledge from the AI model and pair it with your existing data.
16. Competitor comparison
=AITEXT("Compare "&A2&" and "&B2&" as products in the "&C2&" category. List 3 key differences in a numbered list. Be factual and specific.", A2)A2 = your product, B2 = competitor, C2 = category. Uses concatenation to build a dynamic prompt.
17. Industry term definition
=AITEXT("Define the term below in one sentence, suitable for a glossary aimed at business professionals. No jargon in the definition itself.", A2)A2 contains the term. Returns a clean glossary entry.
18. Market sizing estimate
=AITEXT("Provide a rough market size estimate for the industry below. Include the estimated global TAM and growth rate. Cite the reasoning. Caveat that this is an estimate.", A2)A2 contains an industry or niche description. Returns a ballpark figure with context.
19. SWOT analysis
=AITEXT("Perform a brief SWOT analysis for the company or product below. One sentence per quadrant. Format: Strengths: ... Weaknesses: ... Opportunities: ... Threats: ...", A2)A2 contains a company or product name. Returns a compact SWOT in a single cell.
20. Use case brainstorm
=AITEXT("List 5 real-world use cases for the technology or product below. Each use case should name a specific industry and a specific problem it solves. One per line.", A2)A2 contains the product or technology name. Returns actionable use case ideas.
All of these research prompts work even better with web search turned on. Add TRUE as the third argument, like =AITEXT("prompt", A2, TRUE), and the AI will search the internet for current data before responding. Web search works with OpenAI, Claude, and Perplexity models.
Sales (templates 21-25)
Personalize outreach, qualify leads, and draft follow-ups without leaving your CRM export.
21. Personalized cold email opener
=AITEXT("Write a 2-sentence cold email opener for "&A2&" who is the "&B2&" at "&C2&". Reference their role and suggest a specific pain point. Do not be sycophantic.")A2 = name, B2 = title, C2 = company. Returns a personalized opener you can paste into your sequence.
22. Lead qualification summary
=AITEXT("Based on this lead data, rate the lead as Hot, Warm, or Cold. Then explain your reasoning in one sentence. Format: [Rating] - [Reason]", A2)A2 contains lead details (company size, industry, engagement signals). Returns a qualification tag with rationale.
23. Objection handling response
=AITEXT("A prospect raised this objection during a sales call. Write a concise, non-pushy response that acknowledges the concern and reframes it. Keep it under 50 words.", A2)A2 contains the objection text. Returns a ready-to-use rebuttal.
24. Follow-up email after demo
=AITEXT("Write a follow-up email (under 150 words) after a product demo with "&A2&" at "&B2&". Reference the key feature they were most interested in: "&C2&". Include a clear next step.")A2 = contact name, B2 = company, C2 = feature of interest. Returns a personalized follow-up.
25. Value proposition one-liner
=AITEXT("Write a one-sentence value proposition for the product below, targeted at "&B2&" in the "&C2&" industry. Focus on the measurable outcome, not the feature.", A2)A2 = product description, B2 = target persona, C2 = industry. Returns a tight value prop.
SEO (templates 26-30)
Optimize your content at scale. Titles, descriptions, keyword mapping, and content gap analysis.
26. SEO title tag
=AITEXT("Write an SEO-optimized title tag (under 60 characters) for a page about the topic below. Include the primary keyword near the beginning. Make it compelling, not keyword-stuffed.", A2)A2 contains the page topic and primary keyword. Returns a click-worthy title tag.
27. Internal linking suggestion
=AITEXT("Given this blog post topic, suggest 3 related topics that would make good internal links. For each, provide the topic and a suggested anchor text phrase. Format as a numbered list.", A2)A2 contains your blog post title or topic. Returns internal linking opportunities.
28. Content gap identification
=AITEXT("I have a blog post about "&A2&". What subtopic or question does this topic typically cover that I might be missing? Suggest one specific content gap and explain why it matters for SEO.", A2)A2 contains your existing content topic. Returns a gap you can fill to improve topical authority.
29. Alt text for images
=AITEXT("Write descriptive alt text (under 125 characters) for an image that shows: "&A2&". Be specific and include relevant keywords naturally. Do not start with Image of.", A2)A2 contains a description of the image. Returns accessible, SEO-friendly alt text.
30. Keyword intent classification
=AITEXT("Classify the search intent of this keyword as Informational, Navigational, Transactional, or Commercial Investigation. Return only the classification.", A2)A2 contains a keyword. Returns a single intent label for bulk keyword categorization.
For a deeper look at using AI for SEO workflows in Google Sheets, see the AI SEO guide.
SheetMagic supports 7 AI providers: OpenAI, Claude, Gemini, Mistral, OpenRouter, Straico, and Perplexity. All 50 templates on this page work with every provider. You can switch models under Extensions > SheetMagic > Settings without changing your formulas. See the complete formula reference for details.
Translation (templates 31-35)
Translate and localize content at scale. For simple translations, =AITRANSLATE() is the dedicated function. Use =AITEXT() when you need more control over tone, formality, or localization details.
31. Formal business translation
=AITEXT("Translate the following text to formal business French. Maintain the professional tone. Return only the translated text, no explanations.", A2)A2 contains English text. Returns a formal French translation. Change the target language as needed.
32. Casual/marketing translation
=AITEXT("Translate this marketing copy to Brazilian Portuguese. Keep the casual, energetic tone. Adapt idioms to feel natural in the target language rather than translating literally.", A2)A2 contains marketing text. Returns a localized translation that reads natively.
33. Multi-language batch (with AITRANSLATE)
=AITRANSLATE(A2, "Spanish")The dedicated translation function. A2 contains source text. Simpler syntax when you do not need tone or style control.
Use =AITRANSLATE() when you want a straight translation. Use =AITEXT() when you need specific instructions about formality, audience, or localization style.
34. Translation with context preservation
=AITEXT("Translate the following product description to German. The product is a B2B SaaS tool, so use formal Sie instead of du. Preserve any technical terms in English if they are industry-standard.", A2)A2 contains the product description. Returns a translation with domain-specific context preserved.
35. Bilingual glossary entry
=AITEXT("For the English term below, provide the Japanese translation and a one-sentence usage example in Japanese. Format: Translation: [word] | Example: [sentence]", A2)A2 contains an English term. Returns a glossary entry with translation and example.
Summarization (templates 36-40)
Condense long text into short, useful summaries.
36. Executive summary
=AITEXT("Summarize the following in 3 sentences for a senior executive. Focus on what happened, the impact, and what needs to happen next. No filler.", A2)A2 contains a report, email thread, or meeting notes. Returns a tight executive summary.
37. Bullet point extraction
=AITEXT("Extract the 5 most important points from this text as a numbered list. Each point should be one sentence. Prioritize actionable information over background.", A2)A2 contains a long document or article. Returns 5 key takeaways.
38. Meeting notes to action items
=AITEXT("From these meeting notes, extract only the action items. Format each as: [Owner] - [Task] - [Deadline if mentioned]. If no deadline is mentioned, write TBD.", A2)A2 contains raw meeting notes. Returns structured action items ready for a task tracker.
39. Article headline from body text
=AITEXT("Write a concise, informative headline (under 10 words) for the article text below. The headline should summarize the main point, not tease it.", A2)A2 contains article body text. Returns a headline suitable for a newsletter or content digest.
40. TL;DR for long emails
=AITEXT("Write a one-sentence TL;DR for this email. Capture the core request or information. Be direct.", A2)A2 contains a lengthy email. Returns a single sentence you can scan in your inbox summary column.
Processing a large batch? Write your formula in row 2, test it on 3-5 rows first, then select the cell and drag the fill handle down. Each row processes on its own. For tips on handling large volumes well, see the batch processing guide.
Classification (templates 41-45)
Label, tag, and categorize your data at scale. The key to good classification prompts is keeping the output to a fixed set of labels.
41. Sentiment analysis
=AITEXT("Classify the sentiment of this text as Positive, Neutral, or Negative. Return only the label.", A2)A2 contains a review, comment, or feedback. Returns a single word for easy filtering.
42. Support ticket routing
=AITEXT("Categorize this support ticket into exactly one of these categories: Billing, Technical, Account Access, Feature Request, Bug Report. Return only the category name.", A2)A2 contains the ticket text. Returns one category label for routing to the right team.
43. Content type tagging
=AITEXT("What type of content is this? Classify as: Blog Post, Case Study, Product Page, Landing Page, Documentation, or Other. Return only the label.", A2)A2 contains a URL or content excerpt. Returns a content type tag for audit spreadsheets.
44. Priority scoring
=AITEXT("Rate the urgency of this message on a scale of 1-5 where 1 is routine and 5 is critical. Return only the number.", A2)A2 contains a customer message or ticket. Returns a number you can sort and filter by.
45. Industry classification
=AITEXT("Based on this company description, classify the industry using one of these labels: SaaS, E-commerce, Healthcare, Finance, Education, Manufacturing, Media, Other. Return only the label.", A2)A2 contains a company description or about page text. Returns a single industry label.
Extraction (templates 46-50)
Pull specific pieces of information out of messy, unstructured text.
46. Email address extraction
=AITEXT("Extract all email addresses from the text below. Return them separated by commas. If none are found, return N/A.", A2)A2 contains raw text (email body, web page content, etc.). Returns extracted email addresses.
47. Date extraction and normalization
=AITEXT("Find any dates mentioned in this text and return them in YYYY-MM-DD format. If multiple dates, separate with commas. If no dates found, return N/A.", A2)A2 contains text with dates in various formats. Returns standardized dates.
48. Named entity extraction
=AITEXT("Extract all company names and person names mentioned in this text. Format: Companies: [list] | People: [list]. If none found in a category, write None.", A2)A2 contains a news article, email, or report. Returns structured entity lists.
49. Phone number extraction
=AITEXT("Extract all phone numbers from this text. Normalize to international format (+1-XXX-XXX-XXXX for US numbers). Separate multiple numbers with commas. Return N/A if none found.", A2)A2 contains text with phone numbers in various formats. Returns clean, standardized numbers.
50. Key-value pair extraction
=AITEXT("Extract all key-value pairs from this text (e.g., Name: John, Amount: $500). Return each pair on its own line in the format Key: Value. Only include clearly stated facts.", A2)A2 contains an invoice, form submission, or structured email. Returns clean key-value pairs.
For multi-field extraction where you want each value in its own cell, =AILISTH() is the better tool. See the list extraction guide for detailed patterns.
The free tier gives you 3,000 AI tokens and 10 integration credits to test these templates. No credit card needed. Paid plans start at 3M tokens/month, which is enough to run these formulas across thousands of rows. See pricing.
Build your own: prompt engineering for spreadsheets
The 50 templates above cover common use cases. But the real power is building prompts that fit your exact workflow. Here are the principles that make spreadsheet prompts work well at scale.
Constrain the output format
The AI does not know it is writing into a spreadsheet cell. If you do not tell it what format to use, it will default to paragraphs with headers, bullet points, and markdown. None of that looks good in a cell.
Be specific about what you want back:
- "Return only the label" (for classification)
- "Keep it under 75 words" (for summaries)
- "One per line, no numbering" (for lists in a single cell)
- "Format as: [Field1] | [Field2] | [Field3]" (for structured output)
Give the AI a role
A prompt that starts with context about who the AI is produces more consistent output than a bare instruction.
=AITEXT("You are a senior copywriter at a B2B SaaS company. Write a product description (2-3 sentences) for the feature below. Focus on the business outcome, not the technical implementation.", A2)Adding a role produces output that matches a specific voice and expertise level.
Specify what NOT to do
Telling the AI what to avoid is surprisingly helpful. It has strong defaults that you often need to override.
=AITEXT("Summarize this article in 2 sentences. Do not use phrases like In this article, In conclusion, or It is important to note. Do not start with This article.", A2)Negative constraints eliminate the filler phrases that plague AI-generated summaries.
Use one prompt per task
Do not ask the AI to summarize, classify, AND suggest next steps in a single =AITEXT() call. Split complex tasks into separate columns:
- Column B:
=AITEXT("Classify the sentiment as Positive, Neutral, or Negative. Return only the label.", A2) - Column C:
=AITEXT("Summarize this review in one sentence.", A2) - Column D:
=AITEXT("Suggest one specific action to address this feedback. Keep it under 20 words.", A2)
Three focused prompts produce cleaner output than one prompt trying to do everything. And each column is independently sortable and filterable.
Test before you scale
Always write your formula in a single row. Check the output. Refine the prompt. Then drag down to 500 rows. Every row costs tokens. A poorly worded prompt dragged across 500 rows wastes tokens and produces unusable output.
Advanced patterns: dynamic prompt construction
The real power of AI in spreadsheets comes from building prompts on the fly using cell references and concatenation. Your prompt is not static text. It is a formula that assembles itself from your data.
Multi-cell context with the & operator
=AITEXT("Write a personalized product recommendation for "&A2&" who works in "&B2&" and recently purchased "&C2&". Suggest one complementary product and explain why it fits their profile. Keep it under 50 words.")Pulls data from three columns to build a unique prompt for every row. No two rows get the same output.
This pattern is how you personalize at scale. Your spreadsheet already has the data: names, companies, industries, past purchases. The & operator stitches it all into the prompt.
Conditional prompts with IF
=AITEXT(IF(B2="Negative", "Write an apologetic response to this review. Acknowledge the specific issue and offer to make it right.", "Write a thank-you response to this review. Be genuine and brief."), A2)B2 contains a sentiment label (from template #41). The prompt changes based on the classification.
Chain your formulas. Use one column to classify, then use that classification to pick a different prompt in the next column. This is how you build smart pipelines entirely inside a spreadsheet.
Referencing a prompt library cell
=AITEXT($D$1, A2)D1 contains your prompt text (e.g., a long, carefully tuned instruction). Locking it with $ means every row uses the same prompt but different context from column A.
Store your prompt in a single cell (say D1) and reference it with an absolute reference $D$1. This way you edit the prompt once and every row updates. No need to touch 500 formulas.
Building prompts with CONCATENATE for readability
=AITEXT(CONCATENATE("You are a ", B2, " specialist. ", "Analyze this ", C2, " and provide a ", D2, " assessment. ", "Keep your response under 100 words."), A2)When prompts get long, CONCATENATE is easier to read and edit than chaining & operators.
Chaining formulas across columns
The most powerful pattern is a multi-column pipeline where each column does one step:
| Column | Formula | Purpose |
|---|---|---|
| A | Raw data | Input |
| B | =AITEXT("Classify...", A2) | Classification |
| C | =AITEXT("Summarize...", A2) | Summary |
| D | =AITEXT(IF(B2="Negative", "Apologize...", "Thank..."), A2) | Conditional response |
| E | =AITRANSLATE(D2, "Spanish") | Translation |
Each column reads from previous columns. This creates a fully automated processing pipeline. Write it once for row 2, drag everything down, and hundreds of rows process themselves.
Bookmark this page and come back when you need a starting point for a new workflow. Every template here is designed to be tweaked. Change the role, adjust the output format, swap in your own categories. The best prompt is the one you have tuned to your specific data.
What to read next
- Getting Started with AI in Google Sheets - Install SheetMagic and run your first formula in 60 seconds.
- How to Use AI Formulas, The Complete Guide - Deep dive into every SheetMagic formula with advanced techniques.
- Extract Structured Lists from Text - When you need each value in its own cell,
=AILIST()and=AILISTH()are the right tools. - Batch Processing Guide - Process thousands of rows without hitting rate limits.