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AI Functions for Google Sheets
SheetAI is a Google Sheets AI add-on for teams using spreadsheets for B2B data workflows. It adds formula-based AI functions to generate content, classify text, extract fields, and automate repetitive outreach, reporting, and lead generation tasks directly inside Google Sheets
SheetAI is a Google Sheets AI add-on built for operators, marketers, analysts, founders, and RevOps teams that run B2B workflows inside spreadsheets. SheetAI adds spreadsheet functions that call AI models directly from cells, letting users generate copy, summarize notes, classify records, extract entities, translate text, clean messy data, and answer prompts without leaving Google Sheets. Users can apply formulas across rows, combine outputs with native spreadsheet logic, and turn recurring manual tasks into repeatable automation workflows for reporting, lead generation, outreach preparation, and data operations.
Teams use SheetAI to draft personalized cold email variables at scale, enrich lead lists with structured fields pulled from unformatted text, categorize support or survey responses, and create faster weekly pipeline reports from raw spreadsheet data. Because work happens inside Google Sheets, existing formulas, filters, sharing permissions, and collaboration habits stay intact while AI handles repetitive text processing. SheetAI fits the GTM stack as an AI productivity layer for spreadsheet-based operations, complementing CRM systems, enrichment tools, and no-code automation platforms where teams still manage source data in Sheets.
SheetAI fits marketers, analysts, sales teams, recruiters, and founders at startups, agencies, and SMB B2B companies using Google Sheets daily. It serves teams automating spreadsheet workflows, content generation, lead data cleanup, reporting, and outreach tasks that value low-code, AI-first operations.
What's included
What's included
What's included

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SheetAI runs as a Google Sheets add-on that adds custom formulas directly in spreadsheet cells. Users enter prompts or reference cell ranges, and SheetAI returns generated text, classifications, summaries, or extracted data inside the sheet.
SheetAI fits marketers, analysts, sales teams, founders, recruiters, and operations teams that already manage workflows in spreadsheets. It is strongest for teams that want AI automation without moving data into a separate application.
SheetAI automates repetitive spreadsheet work such as content generation, row classification, data extraction, summarization, and auto-filling columns. Teams use formulas across many rows to run repeatable workflows at scale.
SheetAI uses prompt-based formulas to create ad copy, product descriptions, headlines, follow-up emails, and personalized outreach text. Users combine prompts with cell data to generate customized outputs for each row.
SheetAI includes extraction formulas that pull fields such as company names, entities, numbers, and labels from unstructured text. This helps clean lead lists, inbound form data, notes, and research datasets inside Google Sheets.
SheetAI classifies text into user-defined categories such as sentiment, topic, priority, or status. Teams apply one formula down a column to tag customer feedback, transactions, support logs, or prospect records.
SheetAI pricing pages state users can connect their own OpenAI, Claude, and Replicate keys. This setup gives teams control over model access and related API usage while continuing to work in Google Sheets.
SheetAI setup is typically the time needed to install the Google Sheets add-on and authorize access. After installation, users can start entering formulas in sheets without building separate workflows or infrastructure.
SheetAI is designed for repeated formula usage across rows and includes a cache feature listed on pricing pages. That model supports higher-volume spreadsheet workflows where teams run recurring AI functions on existing data tables.
SheetAI keeps AI workflows inside Google Sheets rather than requiring a separate workspace. Teams use existing formulas, filters, sharing permissions, and spreadsheet processes while adding AI generation, enrichment, and automation functions.
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